Winter foraging behaviors of beef cows in relation to acute thermal stresses and supplementation by Steven Kenneth Beverlin A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Range Science Montana State University © Copyright by Steven Kenneth Beverlin (1988) Abstract: Two trials were conducted during the winters of 1986 and 1987. Trial 1 began December 15, 1985 and ended March 6, 1986. Trial 2 was initiated December 15, 1986 and concluded February 28, 1987. Objectives were (1) to determine range forage intake and grazing behavior responses of prepartum beef cows to supplementation and winter environmental conditions and (2) to determine acclimation lengths of winter foraging strategies for free-roaming pregnant beef cattle under short term-thermal and wind-chill stresses. In 1986, 61 cows of Hereford X Angus and (or) Tarentaise genotypes were used. Cows were stratified within five supplement groups: soybean meal (SEM), bloodmeal (BM), com gluten meal (CGM), animal fat (FAT) and range forage only (CON). SBM, CGM, EM, and FAT received 200 g/d rumen degradable protein. EM and OGM received 200 g/d additional bypass protein and FAT received 50 g/d additional bypass energy. Two groups of ten cows wore fecal bags for a week in January and February. Rectal grab samples were obtained from all 61 cows concurrently with total fecal collections. Four groups of four cows wore vibracorders to estimate daily grazing time in three intervals: 0701-1300, 1301-1900 and 1901-0700 and pedometers to estimate distance travelled per day. There were no differences (P<.05) in forage organic matter intake (OMI), daily grazing times (DGT), grazing tine per interval (DGTI) or distance travelled per day (DT). Supplemented cows lost less weight and condition (P<.05,-14.5 kg, -.68) than CON (-44.4 kg, -.95), respectively. OMI and DGT were expressed within a narrow potential range under low forage quality and mild environmental conditions. In 1987, 16 cows of the same genotype as trial 1 wore vibracorders and pedometers using the same methods as trial 1. Four groups of four cows wore fecal bags for 96 h collections within a week in January and February. Rectal grab samples were obtained daily from all cows. All cows were bolused daily with 10 g chromic oxide. Acclimation lengths were determined for daily OMI, DGT, and DGTI under short-term thermal stress (STTS) and wind-chill temperature (WCT). Acclimation lengths of I to 3 days increased CME (P<.05) and decreased DGT (P<.05) to both STTS and WCT. DGTI showed variable responses. Generally, larger DGTI responses were associated with longer acclimation lengths. Cows returned to normal CMI and DGT regimes within 72 h. The presence of fecal bags decreased DGT by 24.2 minutes (P<.001). Grazing times from 1301-0700 were unaffected (P>.05). From 0701-1300 grazing times were decreased 10.7 minutes (P<.001) by presence of fecal bags due to bags being full before being changed prior to 1130 h. Adjustment factors should be made for animals wearing fecal bags until a more suitable method for free-roaming conditions becomes available. WINTER FORAGING BEHAVIORS OF BEEF COWS IN RELATION TO ACUTE THERMAL STRESSES AND SUPPLEMENTATION by Steven Kenneth Beverlin A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Range Science MONTANA STATE UNIVERSITY Bozeman, Montana April 1988 /3 IUS ii APPROVAL of a thesis submitted by Steven Kenneth Beverlin This thesis has been read by each member of the thesis committee and has been found to be satisfactory regarding content, English usage, format, citations, bibliographic style, and consistency, and is ready for submission to the College of Graduate Studies. Approved for the Major Department H Date - V - V l '% O - T" v Approved for the College of Graduate Studies Date \ > Head, Major Department Graduate Dean 'XV'M>-. iii STATEMENT OF PERMISSION TO USE In presenting this thesis in partial fulfillment of the requirements for a master's degree at Montana State University, I agree that the Library shall make it available to borrowers under rules of the Library. Brief quotations from this thesis are allowable without special permission, provided that accurate acknowledgment of source is made. Permission for extensive quotation from or reproduction of this thesis may be granted by my major professor, or in his/her absence, by the Dean of Libraries when, in the opinion of either, the proposed use of the material is for scholarly purposes.,Any copying of use of the material in this thesis for financial gain shall not be allowed without my written permission. iv ACKNOWLEDGEMENTS Many people project. have assisted with the completion People of significant importance include: Eldon Ayers, Ed Fredrickson, of this thesis Dr. Kris Havstad, Pete Olind and Russell Mack. Without their advice, assistance, bad jokes, and comradeship none of this would have happened. . The next "Master Bagger" world championships are in South Dakota with bison! John Lacey, Sincere thanks also go to Drs. Mark Petersen, Jack Taylor, Brian Sindelar, and Clayton Marlow whose valuable advice made things easier on everyone. Kachman, Kathy Hanford, kept me "on line". Thanks also to Steve and Carol Bittinger whose computer expertise To everyone at the Nutrition Center, especially Dr. Nancy Roth and Connie Clark, thanks for the help and assistance. the secretaries, Gayle, Pat, Diane, Jo, and Jeanne: "thanks To for letting things slide". Much of the credit for completing this project goes to my family: Mom and Dad, overwhelming a burdens. Dave and Jill, call home and Mike always Beverlin. improved my When things got spirits and eased my Thanks! Most of all, love and gratitude goes to. Gail for putting up with thirty hour stints on the computer, all night sessions at the Nutrition Center and the fragrant smells of rumen extrusa and cow s__t. Your love and companionship made all it worthwhile. My heartfelt thanks to all of you for making this journey possible. V TABLE OF CONTENTS Page LEST OF TABLES.................................................... vii ABSTRACT.... .............................................. ........ ix INTRODUCTION...................................................... I LITERATURE REVIEW................................................. 3 Introduction.................................................. Heat Production and Metabolism................................ Winter Foraging Strategies.................................... Digestive Responses.............. *.......... ................. Supplementation............................................... Pregnancy...................... 3 5 7 11 14 18 MATERIALS AND METHODS............................................. 21 Study Site............................. Animals...................... ...................... ........ Treatments............... Measurements........................................... Grazing Behavior.......... Fecal Organic Matter Output.............................. Dietary Digestibility............. Forage Organic Matter Intake............. Body Weight and Condition Score.".......... Climatic Conditions...................................... Data Analyses................................................. Trial I, 1986.... Trial 2, 1987............................ .............. 21 22 22 24 24 25 26 '28 29 29 29 29 30 RESULTS.......... 33 Trial I, 1986......................... Forage Intake................................... Grazing Behavior................................ Calf Birthweight, CowBody Weight and Condition Score..... Climatic Conditions...................................... 33 33 34 35 36 Trial 2, 1987................................................. Forage Intake.............. Grazing Behavior.............. ........................*.. Influence of Fecal Bagson Daily Grazing Times............ 37 37 39 42 vi TABLE OF CONTENTS - Continued Page DISCUSSION....................... 43 Trial I, 1986............................................ Forage Intake.................... Grazing Behavior... ..................................... Calf Birthweight, Cow Body Weight and Condition Score.... 43 43 45 47 Trial 2, 1987......... Forage Intake............................................ Daily Grazing Time....................................... Influence of Fecal Bags on Daily Grazing Time............ 48 49 52 54 SUMMARY................... '.................... .... '.............. 57 RECOMMENDATIONS.... ...................... 5g REFERENCES CITED.............. 62 APPENDIX........................................ 73 vii U S T OF TABLES Table Page 1. Supplement cxmposition (g/d), Trial I................. ........ 23 2. Estimation of fecal output (PO, kg) and forage organic matter intake (CM! %E$V, OMB) from rectal grab samples. Trials I and 2................................... 28 3. Forage organic matter intake (CM! %BW, OMB) for each supplement. Trial I .......... ................................ 33 4. Daily grazing time (h), grazing time per interval (h) and distance travelled (km/d) for each supplement, Trial I .................... 35 5. Calf bifthweight (kg), pre-calving cow body weight change (kg) and condition score change for each supplement, Trial I........... 36 6 . Average Ambient Temperature (C), long-term average, and deviation from normal for each month, Trial I................. 37 7. Significant responses of daily forage organic matter intake ( C M %BW, OMB) to short-term thermal stress and magnitude of response (%BW) for acclimation lengths of I to 20 days, Trial 2 ......................................... 38 8 . Significant responses of daily forage organic matter intake ( C M %BW, OMB) to wind-chill temperature and magnitude of response (%BW) for acclimation lengths of I to 20 days, Trial 2 ...................................... 38 9. Significant responses of daily grazing times (h) to short-term thermal stress and magnitude of response (h) for acclimation lengths of I to 20 days, Trial 2 .......... 40 10. Significant responses of daily grazing times (h) to wind-chill temperature and magnitude of response (h) for acclimation lengths of I to 20 days, Trial 2.............. 41 11. Influence of fecal bags on daily grazing times (h) and magnitude of response (min), Trial 2 ...... ...■............ 42 12. Chromic oxide analysis procedure, Trials I and 2 ... ........... 74 • viii U S T OF TART F-S-Continued Table .Page 13. Chromic oxide fed (g/d) and recovery (% as fed) from total fecal collections and rectal grab samples for each supplement. Trial I .......... ................................ 75 14. Means for esophageal extrusa in vitro organic matter digestibility (IVOMD) and crude protein (CP), Trial 1 ......... 75 15. Daily fecal output (PO, %BW) estimated using total fecal collections, Cr2O3 , and rectal grab samples for each supplement. Trial 1 ........................................... 76 16. Initial, final and change in cow body weight (kg) and . condition score for each supplement. Trial I....... ........... 76 17. Chromic oxide (Cr2O3) recovery (% as fed) per cow from total fecal collections and rectal grab samples, Trial 2 .... . 77 18. In vitro organic matter digestibility (IVOMD) from rumen extrusa for each week, Trial 2................................. 78 19. Fecal output (PO, %BW) for each cow for each week estimated from rectal grab samples, Trial 2 ............................. 79 20. Initial, final and change in cow body weight (kg) and condition score. Trial 2 ............................ .......... 80 21. Distance travelled (kr^/d) for all cows, Trial 2 ............... 81 IX ABSTRACT Two trials were conducted during the winters of 1986 and 1987. Trial I began December 15, 1985 and ended March 6 , 1986. Trial 2 was initiated December 15, 1986 and concluded February 28, 1987. Objectives were (I) to determine range forage intake and grazing behavior responses of prepartum beef cows to supplementation and winter environmental conditions and (2) to determine acclimation lengths of winter foraging strategies for free-roaming pregnant beef cattle under short term-thermal and wind-chill stresses. In 1986, 61 cows of Hereford X Angus and(or) Tarentaise genotypes were used. Cows were stratified within five supplement groups: soybean meal (SEM), bloodmeal (BM), c o m gluten meal ( C m ) , animal fat (FAT) and range forage only (CON). SEM, CGM, EM, and FAT received 200 g/d rumen degradable protein. EM and OGM received 200 g/d additional bypass protein and FAT received 50 g/d additional bypass energy. Two groups of ten cows wore fecal bags for a week in January and February. Rectal grab samples were obtained from all 61 cows concurrently with total fecal collections. Four groups of four cows wore vibracorders to estimate daily grazing time in three intervals: 0701-1300, 1301-1900 and 19010700 and pedometers to estimate distance travelled per day. There were no differences (Pc. 05) in forage organic matter intake (OMI), daily grazing times (DGT), grazing time per interval (DGTI) or distance travelled per day (DT). Supplemented cows lost less weight and condition (P<.05,-14.5 kg, -.68) than CON (-44.4 kg, -.95), respectively. CMI and DGT were expressed within a narrow potential range under low forage quality and mild environmental conditions. In 1987, 16 cows of the same genotype as trial I wore vibracorders and pedometers using the same methods as trial I. Four groups of four cows wore fecal bags for 96 h collections within a week in January and February. Rectal grab samples were obtained daily from all cows. All cows were bolused daily with 10 g chromic oxide. Acclimation lengths were determined for daily CMI, DGT, and DGTI under short-term thermal stress (STTS) and wind-chill temperature (WCT). Acclimation lengths of I to 3 days increased (MI (Pc.05) and decreased DGT (Pc.05) to both STTS and WCT. DGTI showed variable responses. Generally, larger DGTI responses were associated with longer acclimation lengths. Cows returned to normal CMI and DGT regimes within 72 h. The presence of fecal bags decreased DGT by 24.2 minutes (Pc.001). Grazing times from 1301-0700 were unaffected (R>.05). From 0701-1300 grazing times were decreased 10.7 minutes (Pc.001) by presence of fecal bags due to bags being full before being changed prior to 1130 h. Adjustment factors should be made for animals wearing fecal bags until a more suitable method for free-roaming conditions becomes available. I INTROEUCnON Available winter grazing livestock. forage seldom meets nutrient requirements of Consumption of available protein and energy by prepartum cows grazing winter range is usually below National Research Council . (1984) recommendations reproduction can be impaired by such magnitude (Allison 1985, that subsequent Cordova et al. 1978). Supplementation has been used to moderate forage nutrient deficiencies; however, responses vary with both the year and type of supplement (Kartchner 1981) and with timing of supplemental feeding (Adams 1985). Also, Vhen compared to the relatively small cost of grazed forage it is often expensive. Russell et al. (1979) stated the largest single economic cost in the production of a weaned calf is that of feeding the cow during the winter. winter forage and If prepartum cows can efficiently utilize maintain acceptable production levels without supplementation, it would significantly reduce or even eliminate this cost. In addition to the constraints' of low quality forage, grazing livestock must adapt to an energetically demanding environment. .Fluctuations in winter environmental conditions cause metabolic and behavioral (1985) stated responses these for maintenance of homeothermy. responses vary with the temperature environment relative to the lower critical temperature animal and the duration of cold exposure. with hormonal and metabolic functional consequence of prolonged cold or heat Kennedy of the (LCT) of the Acclimation is associated changes that develops as a exposure and, therefore, is 2 associated with seasonal changes in the thermal environment than with daily or short-term weather fluctuations (NRC, 1981). Once animals are acclimated to winter environmental regimes, energy expenditures remain relatively constant. To maintain energetic efficiency under these conditions, free- roaming prepartum cows' adapt winter foraging strategies to satisfy energy demands. These strategies have been difficult to assess because winter environmental conditions often prohibit intensive studies with grazing livestock. Consequently, range forage intake values for the winter months are rare and continuous measurements are nonexistent. Identifying range forage intake responses to the winter environment would provide producers to insight into critical nutritional periods and enable conform management strategies to those periods; thus optimizing animal efficiency and economic returns. Considering these restraints, our objectives were: (1) to determine range forage intake and grazing behavior responses of prepartum beef cows to supplementation and the winter environment and, (2) to quantify acclimation lengths for range forage organic matter intake and daily grazing times of free-ranging pregnant beef cows under short-term thermal and wind-chill stresses. 3 IiITERATURE REVIEW Introduction During the winter, forage available for grazing is bulky., fibrous and has a relatively low digestible energy content. usually deficient in' protein, 1950, Marsh et al. 1959). In addition, it is phosphorus and carotene (Cook et al. Protein is generally the most limiting nutrient in winter forage, with typical values ranging from 2.8 to 7.5 percent (Miner 1986, Adams et al. 1987). These low protein levels may inhibit rumen microflora activity and the rate of cellulose digestion. Blaxter and Wilson (1963) and Elliot and Topps (1963) determined that mature cattle and sheep consume less when the protein content is below 8 to 10 percent of the forage dry matter. To compensate for these deficiencies, forage intake must increase to satisfy nutrient demands. However, the high fiber, low energy conditions of winter forage often limit intake disappearance by reticulo-rumen from that organ volume (gut fill), (Campling and Balch Forbes 1974, Ellis 1978, Grovum 1979). and 1961, rate of Baile and Although energy demands may be met if winter forage is consumed in large enough quantities (Cook and Harris 1968, Clanton 1981) the physical constraints imposed by the forage and reticulo-rumen volume usually inhibit this increase. addition ruminants to the must constraints adapt of foraging a low quality strategies conditions to maintain energetic efficiency. to diet; winter In free-roaming environmental 4 The climatic environment acts on animals to influence thermoregulation as well as affecting the availability and quality of nutrient supply (Thompson 1973, Robertshaw 1974). that environmental stress, including energy Osuji (1974) stated costs of grazing and walking, may raise the maintenance requirement 25 to 50% above that of indoor animals. and Malechek Comparisons Other studies. Young and Corbett (1972) and Havstad (1982), believed this increase ranged from 40 to 70%. between studies examining environmental influences on winter foraging strategies are often difficult to interpret because of variations in acclimation states and thermoneutral zones of the animals utilized. For example, Adams et al. (1986) proposed a positive correlation existed between daily grazing time and range forage intake as winter ambient air temperatures decreased. In contrast, Dunn (1986) reported daily grazing time for any day was unrelated to previous daily grazing time and previous daily temperatures, which ranged from 8 C to -25 C. Currently, winter environment there are few studies addressing affects of the on foraging strategies and acclimation to winter environmental variables. the time course of Understanding range forage intake and grazing behavior responses to winter environmental conditions and low quality forage provides insight into the mechanisms involved in acclimation and may delineate critical nutritional periods during the winter. This review will discuss effects of the winter environment on heat production and metabolism, foraging strategies, digestive responses; and pregnancy on supplementation and effects strategies, body weight and body condition. winter foraging 5 Heat Production and Metabolism The thermal consequence of state of an animal its prior thermal at any instant in time exposure, rate of is a thermogenic metabolic responses, and the net rate of physical heat exchange with the environment (Young 1976). Two key concepts in understanding the relationship between animals and their thermal environment are the thermoneutral zone (TNZ) and Young Christopherson environmental energy temperatures expenditures and lower (1981) in critical defined which an the temperature TNZ as a animal, without above -the maintenance alter the rate of heat loss from the body. requirement, (LCT). range of additional can readily This balance between heat loss and heat gain must be regulated to maintain homeothermy (Monteith and Mount 1974, Robertshaw 1974). The lower boundary of the TNZ is called the lower critical temperature (ICT). Young (1981) defined the ICT as the temperature below which an animal must immediately increase its rate of heat production to maintain homeothermy. This increase in heat production may take anywhere from 30 minutes to 3 hours to reach equilibrium (Joyce and Blaxter 1964, Webster and Blaxter 1966).. Specific ICT values for pregnant beef cows range from -11 to -23 C (Webster 1970) and are dependent on age, biological type, lactation state, level of nutrition, history of thermal acclimation, insulation, and behavior (Webster 1970, Young 1975). As temperatures drop below the ICT, animals experience acute or short-term thermal stress which stimulate specific thermogenic 6 mechanisms for maintenance of homeotherrny. These mechanisms include: vasoconstriction at the skin surface, piloerection of the hair coat, and postural changes (Young 1976). Christopherson and Young (1986) reported the extra heat generated by these mechanisms will be directly proportional to the number of degrees the temperature has dropped below the BZT. Short-term behavioral responses compensate for increased loss of heat body homeotherrny. to the environment and aid in the maintenance of These mechanisms may balance homeotherrny in the short term; however, if the duration of cold exposure persists for a longer period of time animals must achieve thermal physiologically to balance. achieve environmental conditions. results in an increase metabolic heat production to increased Cattle an adapt acclimation state in resting metabolic response to rate associated with Young and Christopherson reported an 8 to 40 percent rise in resting metabolic heat production during chronic cold exposure. Increases in heat production are fueled by shivering or nonshivering thermogenesis 1979) and Chronic cold exposure (one week or longer) increased resting metabolic heat production. (1974) morphologically which are powered by free fatty acids (Gonyou et al. (Young 1975) obtained through oxidation of adipose tissue (Blaxter and Wainman 1961). This eventually leads to a higher summit metabolism which enables a downward shift in the BZT and lowering of the TNZ. these adaptations result in a However, energetic costs of persistently higher production which leads to increased feed requirements. rate of heat 7 Winter Foraging Strategies Many reviews on forage intake conclude that free-roaming ruminants increase intake in response to cold exposure (Baile and Forbes 1974, Weston 1979 1982, Arnold 1984). from two basic sources: This shift in intake apparently arises (I) acute or short-term thermal stress (STTS) that challenges hameothermy of susceptible animals and (2) metabolic and digestive function changes arising from thermal acclimation (Young 1986). for IXiring STIS metabolic heat production increases to compensate a faster compensates intake. rate of for this heat loss to the environment. increased metabolic demand by The animal increasing food Senft and Ritterihouse (1985) reported if animals are exposed to temperatures within their thermoneutral zone, feed intake should be independent of environmental temperature. drop below the LCT, animals increase However, forage if temperatures intake or decrease production levels due to a demand for increased heat production. The level of intake helps maintain homeothermy through increases in the heat of fermentation. metabolic rates The level of intake also influences the LOT. increase during SITS, increased increased heat production and the LCT decreases. Mount (1979) temperatures and Ames and Ray intake increased (1983) intake allows As for This agrees with who stated at extremely cold to meet thermoregulatory needs. In contrast to this, Senft and Rittenhouse (1985) and Malechek and Smith (1976) reported intake decreased in response to daily changes from an acclimation temperature. temperature Also, Dunn (1986) reported 8 short term decreases in daily grazing times in response to either rapid decreases or increases in daily ambient air temperatures. The discrepancies between these studies probably relate to the acclimation state of the animals, the influence of other environmental variables on foraging strategies, year and when the studies were conducted during the (late fall or early winter versus mid to late winter). Once acclimated to cold, cattle show a 30-40% elevation in resting metabolic rate (Young 1975, Christopherson 1985) which is independent of level of feeding but linked to increased thyroid hormone activity (Westra and Christopherson 1976, energy demand, Christopherson 1985). along with elevated This increased metabolic thyroid levels, potentially increases appetite drive and may allow for increased intakes. the effects of chronic cold exposure are significant, Although they are not always encountered and behavioral acclimation becomes a more important adaptive mechanism (Rittenhouse and Senft 1982). Physiological acclimation must occur if animals are to survive. However, because of natural day-to-day fluctuations in climatic variables an animal's physiological state is unlikely to be in exact synchrony with the environment. Behavior compensates for discrepancies between physiological state and current environmental conditions by two mechanisms: decreased activity and movement to favorable microclimates (Senft and Rittenhouse 1985). These mechanisms, which also include decreased respiratory rate and water intake (Young 1975, Gonyou et al. 1979), allow for a fine-tuning of thermoregulatory responses. Generally, to reduce these energetic demands ruminants must either move 9 to more favorable microenvironments or repartition metabolizable energy for thermoregulation. Senft and Rittenhouse (1985) hypothesized in a constantly changing environment, short-term behavioral responses are critical to the energy balance of domestic animals. They suggested cattle were physiologically acclimating to the mean temperature regime experienced, over the previous 11 days. This study was conducted for twelve months and may be an accurate time frame for an entire year; however, during the winter months animals seem to respond only to temperatures regimes experienced from the previous one or two days (Dunn et al. 1988). This short-term response occurs unless the duration of cold exposure induces a new acclimation state. Several other climatic variables influence foraging strategies and acclimation states. Wind aggravates the effects of temperature. At cold temperatures, wind induces higher heat production (Webster 1970) and a higher metabolic rate (Christopherson et al. 1979). Adams (1984) reported decreased grazing times as wind velocity increased. Axnes (1974) and Ames and Insley (1975) determined wind velocities under 32 km/h removed an insulating layer of air surrounding the animal, but air still remained trapped in the hair coat. Above 32 knyTt this insulating layer of air was destroyed which accelerated the rate of heat loss to the environment. In addition to wind, barometric pressure influences foraging strategies. Senft and Rittenhouse (1985) reported low to intermediate rates of change in barometric pressure resulted in a rapid increase in grazing time, while higher rates of change led to a gradual decline in grazing time. Malechek and Smith (1976) also reported an 10 increase in grazing time in response to absolute pressure changes. Relative humidity may also affect grazing activities but this occurs mainly in warm or tropical climates (Arnold and Dudzinski 1978). Very little is reported on the effects of solar radiation on winter foraging strategies; however, it may be very important in maintaining homeothemy. , Cattle may gain heat from long and short wave radiation which the would minimize heat transfer to the environment. above findings. Low et al. (1981) stated very In contrast to little of the seasonal changes in grazing behavior may be explained by variations in temperature, rainfall, solar radiation or wind. could be affected by these factors. Timing of activities LXmn (1986) reported total daily grazing times of 9.0 hours per day even though individual daily grazing periods declined in response to rapid fluctuations in daily ambient air temperatures. Rittenhouse and Senft regulate grazing time (1982) suggested the ability of cattle to in response to changes in environmental conditions is an evolutionary adaptive mechanism which allows animals to respond to a wide variety of environments; however, the mode of action or consequences of adaptive change are not clear. Several hormones have been implicated in assisting the acclimation process including catecholamines (epinephrine and norepinephrine), glucocorticoids, thyroids (thyroxine and triiodothyronine), insulin and others. The activity and interrelationship of hormones during cold exposure and physiological acclimation are complex and not well understood but they seem to influence digestive responses more than the acclimation process itself (Heroux 1969, Thompson 1973, Johnson 1976, 11 Christopherson et al. 1978). thermal strain, mechanisms conditions encountered.' Although behavioral acclimation offsets involved may not compensate enough for To further aid in thermal balance, digestive functions also change in relation to cold exposure. Digestive Responses The winter environment has some striking influences on digestive function for free-roaming prepartum cows. related to duration of cold exposure Most of these responses are and whether an animal is acclimated to winter environmental conditions. During cold exposure reduced. Westra and (either acute or chronic) digestibility is Christopherson (1976) showed dry matter digestibility depressed by 0.2 units per degree C drop in temperature. Shnilar results were obtained by Christopherson (1976), Kennedy et al. (1976) , Kennedy and Milligan (1978) and Kennedy et al. (1982). Although digestibility is reduced, passage rate of digesta (mainly in the reticulo-rumen) is Kennedy et al. 1986). increased (Westra and Christopherson 1976, This increase occurs within hours of the onset of cold exposure and persists for the duration of the exposure. Faster passage rates allow ruminants to increase intake and compensate for the bulk limiting.affects of available winter forage; which in turn may allow animals to maintain production levels. The effects, of temperature on digestibility occur mainly on forage-based diets and not when concentrate diets are fed (Kennedy et al. 1982). However, there 12 is evidence that digestibility of different forage diets may be influenced to different extents (Kennedy 1985). Another consequence contraction rates. of cold exposure are higher reticular During both short-term and chronic cold stress, increased rates of reticular contractions were reported for cattle and sheep 1985). (Westra and Christopherson 1976, Gonyou et al. 1979, .Kennedy Increased contraction rates may not simply be a consequence of increased passage rates. Deswysen and Ehrlien (1981) stated there may also be a change in the rate of movement of particles from the rumen to the reticulum. selective Geisecke et al. for particulate (1975) passage hypothesized the omasum is rate and selection of particles through the reticulo-omasal orifice may limit particle passage to the reticulum. This in turn may lead to increased contraction rates. Increase! passage rates are also associated with decreased rumen retention time (Warren et al. (Kennedy et al. 1976). 1974) and shorter rumen turnover time The reduction in retention time significantly alters the amount of cell wall constituents (CWC) and organic matter (CM) degraded. for Kennedy et al. (1976) reported apparent digestion of CM pelleted. brome grass in the rumen of sheep was 30% in a thermoneutral environment (20 C) but only 24.2% during cold exposure (0 C). This decrease in digestibility was also negatively correlated with rumen turnover time. However, the quantity, of microbial nitrogen synthesized in the rumen did not alter significantly, improved efficiency of rumen microbes. which shows This agrees with Kennedy and Milligan (1978) who reported efficiency of microbial protein synthesis in the rumen and nitrogen recycling were enhanced during cold exposure. 13 Because digestion examined the exposure did in the reticulo-rumen is reduced, possibility not gastrointestinal of increase tract; increased intestinal digestibility however, volatile proportion to the reduction of CM digested. of Kennedy (1985) digestion. Cold CWC fatty or acids CM in changed the in Specifically, there was a decrease in acetic acid and increase in propionic acid which agrees with similar work conducted by Kennedy et al. Milligan (1978). (1976) and Kennedy and This ,change probably occurred because rumen microbes were less dependent on CWC as an energy source. Although total organic matter digestion is reduced during cold exposure, faster clearance from the reticulo-rumen causes increased protein flow to the gastrointestinal tract; which increases appetite and facilitates increases in intake (Egan 1977). Kennedy (1985) also reported an increase in the flow of non-ammonia nitrogen to the small intestine during cold exposure. increased dietary flow of protein digesta escaping from These increases may arise from either the reticulo-rumen fermentation), increased (and thus more efficiency of microbial protein synthesis in the rumen (Kennedy and Milligan 1978, Kennedy et al. 1982) or increased flow of pancreatic secretions (Kato and Young 1984). of the animal. Digestive changes help maintain the nitrogen balance The net result is an increase in total food requirement to compensate for reduced energy digestibility; which may account for some of the increased forage intake values during cold exposure. These changes in nitrogen transactions may allow ruminants to utilize diets with lower nitrogen content which could compensate for the nutrient deficiencies of winter forage (Christopherson and Young 1986). 14 Digestive responses aid in countering the effects of fluctuating environmental conditions and nutrient deficiencies; however, intake of winter forage may still not satisfy nutrient demands. provides additional nutrients in an attempt to Supplementation offset these deficiencies. Supplementation Reproductive performance of the beef cow is closely aligned with ■ I nutritional status (Wiltbank et al. 1962, Dunn et al. 1969, Clanton and Zimmermann 1970, Bellows and Short 1978, Bellows et al. 1982). Consumption of available protein and energy by prepartum cows grazing winter, range magnitude is that usually below NRC subsequent Cordova et al. 1978). (1984) reproduction is recommendations by impaired (Allison such 1985, Supplementation is used to preclude lengthened postpartum interval and moderate forage nutrient deficiencies but is expensive when compared to the cost of grazed forage (Russel et al. 1979). Tiimiting this cost, while maintaining reproductive performance of the cow herd, would be of considerable economic importance to the producer. For a supplement to be digestion by rumen microbes. effective it must complement forage In addition, it should supply specific nutrients deficient in available forage. During the winter months, these are generally protein and energy. Meeting specific nutrient requirements is often difficult because energy needs are met first and protein will be used for energy until it is no longer limiting (Clanton 15 1981). In addition to this, several studies have shown a substitution effect of supplementation for available winter forage (Holder 1962, Raleigh and Wallace 1963, Rittenhouse et al. 1970, Bellows and Thomas 1976). Although microbial received protein from supplementation synthesis range forage and alone may allow increase for the (Zinn and optimization digestible Owens of protein 1981); it also decreases digestibility of cellulose and gross energy (Cook and Harris 1968). As stated before, during cold exposure efficiency of microbial protein synthesis either remains unchanged increases (Kennedy and Milligan 1978). is available, supplementation may (Kennedy et al. 1976) or If this is the case and forage not be necessary or feasible. Raleigh and Wallace (1963) and Kartdhner (1981) stated supplementation during the winter when forage availability is not limiting and weather conditions are mild is questionable. Also, Ames (1986) stated deposition of fat during periods of abundant feed to be catabolized during periods of feed shortage may be a sound management technique, but may be less energetically efficient than using forage alone as an energy source. In addition, it renders animals less tolerant to cold by decreasing external insulation which is an important factor in minimizing SITS. Supplementation affects forage intake in various ways. It is generally accepted that high energy supplements derived from grain sources depress voluntary intake while supplements high in natural protein enhance intake. type of supplement However, responses vary with both the year and (Kartdhner 1981) and with timing of supplemental feeding (Adams 1985). Other factors which may contribute to these 16 differences include cow body condition entering the winter and forage quality variations. Several studies have shown that supplementation increases intake of a low protein feed protein (Clanton and Zimnrermann 1965, Topps 1972, Clanton 1981, Branine and Galyean 1985). Turrrer (1985) and Dunn (1986), using the same study site as the present stud/, reported increases in range forage intake in supplemented versus unsupplemented pregnant cows. ,These increases seem to be dependent on the crude protein concentration of the forage. Generally, protein supplements increase intake when crude protein content of the forage is below 8% (Allison 1985). The positive effect of protein supplementation on intake, and digestibility, may be due to a positive effect on microbial digestion (Campling et al. 1962, Egan 1965). recent studies (Goetsch et al. decreased microbial positive strong efficiency. and negative evidence 1984) shows have shown both increased and Although intake responses that small More studies to protein amounts of increases intake when forage quality is low. have shown both supplementation, supplemented protein For more comprehensive reviews of supplementation affects on forage intake, digestibility, and rumen kinetics see Siebert and Hunter (1981), Allison (1985) and Miner (1986). Supplementation also affects grazing behavior. Adams (1986) determined forage intake for unsupplemented steers was greater than steers supplemented in either the morning or afternoon. This was supposedly caused by disruption of normal grazing activity. During the winter animals often became accustomed to supplementation at specific times. If this corresponds with intensive grazing periods, producers 17 are minimizing the value of their forage and increasing the costs of supplementation by limiting intake of that forage. Cattle normally graze during the daylight hours, which are relatively short during the winter months. variable and Although nighttime grazing does occur, it is extremely more of an individual animal characteristic. For supplementation to be effective it should compliment grazing times rather than disrupt them. Although supplementation can reduce weight loss, pregnant beef cows may loose substantial amounts of weight during winter feeding and recover satisfactorily the next spring by compensatory gains (Furr and Nelson 1964, Jordan et al. 1979). 1968, Lusby et al. 1976, Russel et al. This may or may not affect calf birth weight. Hironaka and Peters (1969) reported cows wintered on low nutritional levels produced calves of the same birth weight as those wintered on high nutritional levels. Jones et al. (1979) reported an average weight loss of 60 kg during the winter for Hereford cows which significantly reduced calf birth weights although it had no effect on either pre-weaning daily gain or weaning weight of the calves. Thus, it appears the energy demand of the fetus was met before the demand to maintain body tissues of the dam; even to the point where body tissue was lost. This agrees with Robinson and Forbes (1967) who stated the fetus has priority for amino acids during supplementation nutrition. nutrition is conditions dependent upon of undemutrit ion. body condition and Pre-calving post-calving Poor pre-calving nutrition may be tolerated if post-calving is excellent. Producers must take into account several factors when determining the feasibility of supplementation. Some of 18 these factors include the quantity and nutritive value of forage available for grazing, environmental conditions encountered that either allow or restrict grazing, and economic feasibility of supplementation (Raleigh and Wallace 1963 , Kartchner 1981). An important component of an animal's performance is it's stage of production. During the winter, a majority of cows in the Northern Great Plains are pregnant and this has pronounced effects on forage intake and grazing behavior. Pregnancy During the latter part of pregnancy, cows have decreased forage intake due to increased fetal growth and limitei abdominal capacity (Campling and Murdoch 1966, Curran et al. Forbes 1969, Putnam and Bond 1971). significant correlation between the 1967, Owen et al. Leinkert et al. 1968, (1966) showed a intake decline in the last six weeks before parturition and calf birth weight. One explanation for decreased intake is the compression of the rumen by the growing uterus. Bines (1971) stated that capacity of the abdominal cavity appears to be limited by pregnancy, although the extent roughage the to which the rumen can stretch. In early intake may be maintained or even increase even abdomen becomes more distended. Eventually, further distention is impossible and fetal enlargement within the abdominal cavity occurs at the expense of rumen capacity; thereby reducing food intake (Forbes 1969). However, the animal is apparently able to increase passage rate as pregnancy advances, thus offsetting some of 19 the intake declines due to pregnancy (Graham and Williams 1962, Forbes 1970) . Physical competition for space may not be the only reason for decreased intake. Forbes (1970) stated, decline in intake is due to increased estrogen secretion in the last few weeks of pregnancy. logical reasons include preoccupation with birth, Other seeking a suitable place for parturition, and discomfort which may disrupt normal winter foraging strategies. An important and often undervalued factor determining the ability of cows to overwinter is body condition. When in high condition entering the winter, more body reserves may be used to compensate for increased energy demand from the growing fetus and thermal environment. However, when in low condition entering the winter, there are fewer body reserves and therefore; ,an even greater demand on the body, with drains from both the growing fetus and the thermal environment. et al. small Ward (1987) compared body weight and condition changes of large and frame pregnant cows in either fat or thin condition. They determined that small frame, thin condition cows lost less body weight than large frame, fat cows; possibly due to lower initial body weights. Hcwever, all groups of cows lost approximately the same amount of body condition. Whitman Body condition also influences reproductive capability. (1975) reported for cows in good, moderate and thin body condition at calving, their chance of estrus at 60 days was 0.91, 0.61 and 0.46, respectively. Thus, it maintain cows in good body condition scale) entering the winter to appears that producers should (approximately 5 on a I to 10 enhance postpartum reproductive 20 capability and facilitate adaptations conditions. <! to winter environmental 21 MATERIALS AND METHODS Study Site During the winters of 1986 and 1987, two trials were conducted at the Red Bluff Research Ranch, Norris, Montana, in cooperation with the Montana Agricultural Experiment Station. Trial December 15, 1985 and concluded March 6, 1986. 15, 1986 and ended February 28, 1987. I was initiated Trial 2 began December Both trials were conducted on a 324 ha pasture with long north-facing slopes and areas of steep slopes and rocky outcrops. The pasture lies within section 18, T. 3S., R. IE. ' Elevation ranged from 1400 to 1900 m with annual precipitation averaging 350 to 406 mm (Ross and Hunter 1976). An important feature of the pasture was the dominant southwesterly wind that kept forage accessible throughout both trials. Estimated carrying capacity was 1.2 ha per animal unit month (Ross and Hunter 1976). The pasture was a silty range site in good condition with vegetation composed of 65% grasses and 35% forbs and woody species (Ross and Hunter 1976). fAqroovron fFestuca sites Dominant grasses include bluebunch wheatgrass spicatum), needleandthread (Stipa idahoensis) and basin wildrye surrounding rocky oonderosa), limber pine (Juniperus scopulorum). outcrops Turner (Elvmus cinereus). contained CPinus flexilus) (1985) species found at Red Bluff Research Ranch. comata), Idaho ponderosa pine fescue Shallow (Pirns and Rocky Mountain juniper provides a complete list of 22 Animals Trial I utilized 61 pregnant cows (3- to 6-yrs-old) randomly selected from the Red Bluff Ranch herd based on expected calving dates on or near March 15. Trial 2 utilized 16 pregnant cows selected from the ranch herd based on body weight (525-575 kg) and age (5-yrs-old). All cows were artificially inseminated to Angus bulls with expected calving dates approximately March 15. Genotypes combinations of Angus X Hereford and(or) Tarentaise. weight and condition score were various Initial mean body (1= thinnest to 10= fattest) (LaMontagne 1981) were 520 kg and 4.5 for trial I, and 550 kg and 4.1 for trial 2, respectively. For 6 months preceding initiation of either trial, cows grazed native range and had no access to supplement. Treatments Prior to the initiation of trial I, cows were randomly allotted within age to five supplement groups: (BM), c o m gluten meal ( C m ) , animal soybean meal fat (SBM), bloodmeal (FAT), and control which received range forage only (Miner 1986). (GON), Composition of each supplement is listed in Table I. All supplements contained 200 g/d rumen satisfied degradable protein. This criteria specified by Petersen and Clanton (1981), who stated ruminal protein needs must be met before a response of protein presented to the small intestine might be seen. SBM was formulated to meet ruminal protein needs only. EM 23 Table I. Supplement composition^ (g/d), Trial I. Supplement Protein Availability Bypass(g) Rumen(g) g fed g.CP g TDN SBM 570 250 430 50 200 EM SBM 230 450 Total 680 200 200 400 340 40 480 160 40 200 40 160 200 CGM SBM Urea 450 140 16 Total 606 290 60 50 400 370 100 0 470 190 10 0 200 100 50 50 200 FAT SBM 210 570 Total 780 0 250 250 410 430 840 0 50 50 0 200 200 CON _ _ _ — — aEach supplement group also contained 50 g dried molasses and 4.5 g Molasses Booster (Feed Flavours, Inc.) and GGM were sources source, respectively. of bypass protein from an animal and plant FAT, a bypass energy source, was provided to if any observed response was due to bypass protein or bypass energy. Further rationale for these supplement formations and their subsequent metabolic uses is presented in Miner (1986). Supplements also included 35 g/d chromic oxide premix (25% Cr2O3 and 75% ground c om) used as an external marker for (Raleigh et al. 1980). determination of fecal organic matter output Supplements were fed individually on alternate days at approximately 1130 h. Throughout supplementation. trial 2 all cows grazed native range without This methodology was implemented to provide baseline '24 data for winter grazing behavior and winter range forage intake without the confounding affects of supplementation. At the initiation of both trials, all cows were injected intra­ muscularly with 20,000,000 IU Vitamin A. In addition, all cows had access containing to a loose iodized salt mixture 30% dicalcium phosphate and 30% potassium chloride. Measurements Grazing Behavior In trial I, four cows from each supplement (n=20) wore vibracorders (Stobbs 1970) to estimate daily grazing time (DGT). day was divided into three grazing intervals: 1901-0700. Each 0701-1300, 1301-1900 and These intervals were chosen to represent morning, afternoon and nighttime grazing periods. (n=16) wore vibracorders to estimate DGT for the same intervals as trial I. Both years, animals wore the same In trial 2, vibracorder all cows throughout Vibracorder charts were changed weekly at 1130 h. trial. Charts were read as hours grazed per interval (DGTI), rounded to 15 minutes. the sum of DGIT for each interval for each day. the Total DGT was No other activity levels were assigned. Distance travelled per day (Anderson and Urquhart 1986). (DT) was estimated using pedometers During both trials pedometers were worn on the front left foot and rezeroed every week (trial I n=20, trial 2 n=16). Calibration was accomplished by zeroing the pedometers with 25 cows in the chute, then moving the cows for approximately one mile while following them with a calibration wheel. The wheel was 2 m in circumference and recorded the number of wheel revolutions. After returning the cows to the chute, pedometers were removed, reread, then compared to the actual readings from the calibration wheel. This procedure was repeated twice during trial I and four times during trial 2, with an average adjustment factor applied to each pedometer reading for each cow. Fecal Organic Matter Output In both trials, fecal organic matter output (PO) was estimated using total fecal collections and a Cr2O3 dilution technique (Raleigh et al. 1980). Total fecal collections for trial I were made on two groups of ten cows (four per supplement, n=20) using fecal bags and feces/urine separator flaps (Kartchner and Rittenhouse 1979). Each group wore bags for seven total days in January and February. Bags were charged daily at 1130 h. were collected from all Rectal grab samples for Cr2O3 analysis 61 cows at the same time as total, fecal collections. Durirg trial 2, total fecal collections were obtained from four groups of four cows Collections (96 h) (n=16) using the same methodology as trial I. were obtained from each group within a week in January and a week in February. h. Samples were collected daily at 1130 Rectal grab samples were obtained daily at 1130 h from all cows for 26 Cr2O 3 analysis. In addition, all cows were bolused daily with 10 g Cr2O3 in a gelatin capsule (size #10).. For mixed, both trials, sampled frozen. and collected frozen. . total Rectal fecal material grab was samples were weighed, immediately After thawing, dry matter and organic matter were determined for each fecal sample following AOAC (1980) procedures. The remainder of the sample was dried at 100 C for three days then ground through a 2 mm screen using a Wiley mill. Cr2O3 concentration for each sample was determined through flame spectrophotometry using a method derived from Fenton and Fenton (1979) and Costigan and Ellis (1986). this method is presented in Appendix Table 12. An outline of FO per day was estimated from rectal grab samples based on the following eguation: F0/d= [(g Cr2O3 fed per day)/(Cr2O3 (%) in dry fecal sample) ]. adjustments were made to this original value. recovery For trial g Two I, Cr2O3 per supplement was calculated and the quantity of Cr2O3 fed per day was adjusted accordingly. supplement group using PO Values were also adjusted for each estimates from (Rittenhouse 1969, Rittenhouse et al. 1970). total fecal collections For trial 2, rectal grab samples were adjusted individually for each cow based on PO from total fecal collections. \ Dietary Digestibility During trial three I, samples of grazed forage were collected using esophageal-fistulated cows (VanDyne and Torrell 1964). Collections were obtained periodically throughout the trial (Appendix 27 Table 14). with Samples of grazed forage for trial 2 were collected weekly four rumen-fistulated cows using a total evacuation technique (Iesperance et al. 1960). or water. The Animals were penned overnight without feed next morning, rumen cannulas were removed, rumen contents were emptied manually and rumen fluid was removed with a soup ladle. Contents were then stored in plastic tubs with lids maintained at 37-39 C. The inside of the rumen was washed down with water and excess removed with a ladle. Animals were allowed to graze freely with other research animals for I to I 1/2 h. cannulas were removed subsampled and frozen. rumen and cows were and rumen Animals were then gathered, contents were removed, mixed, Initial rumen contents were returned to the released. All cows used for digestibility estimates grazed concurrently with other research animals. For both trials, In vitro extrusa was frozen then freeze-dried and ground. organic matter digestibility (IVCMD) of each sample was determined using the B a m e s modification of the Tilley and Terry technique (Harris 1970). For trial I, rumen inocula was obtained from two cows fed mature grass hay ground through a tub grinder (Appendix Table 14). Rumen inocula for trial 2 was obtained from one cow used for total rumen evacuations (Appendix Table 18). In addition, during both trials each extrusa sample was analyzed for crude protein content 1985). (Galyean 28 Forage O m a n i c Matter Intake Forage organic following equation: matter intake (CMC), was estimated CMC= [daily FO (kg) / (I-IV(MD) ]. using the A complete listing of the calculations used to estimate total CMC may be found in Table 2. Table 2. Estimation of fecal output (PO, kg) and forage organic matter intake (CMC %BW, 0MB) from rectal grab samples, Trials I and 2. Item Description A Optical density of CrgO^ in sample B Organic matter of sample C Weight of sample (all weighed to .25 g) D g Cr2O3 fed per day E g Cr2O3 per sample DxE=F BxCxF/A=G H GxH=I J (I/J)XlOO=K L I/1-L=M (IVJ)XlOO=N Adjusted Cr2O3 fed per day kg fecal output per day Adjustment factor per supplement comparing recovery of Cr2O3 from total collections with rectal grab samples Adjusted fecal output Body weight (kg) Fecal output as % of body weight Forage digestibility (IVCMD) Total forage organic matter intake (kg/day) Total forage organic matter intake (%BW,0MB) 29 Body WeicAit and Condition Score During both years, palpable and visual condition scores (1= thinnest to 10= fattest, LaMontagne 1981) were obtained separately by two technicians at the beginning and end of the trials. Two consecutive day body weights for trial I were measured at the beginning and end of the trial after 12 h feed and water deprivation. During trial 2, all cows were weighed twice weekly. Calf sex, birth dates and 24 h calf weights were also recorded following each trial. Climtic Conditions During both trials ambient air temperature and wind speed were measured continuously using a meteorograph and anemometer, respectively. Data Analyses, Trial I. 1986 Data were analyzed using Statistical Analysis System's General Linear Models Procedure (GIM) (SAS 1985) for differences in winter foraging strategies in relation to supplement. Independent variables in the model included OMI, DCT, DCTT, and DT. Dependent variables were individual cow within cow, supplement, and individual supplement. 30 Individual cow within supplement was utilized as the error term. Calf weights, and body weight and condition score change for each supplement were analyzed using SAS GIM (1985). weight, and body weight and Independent variables cow included supplement by cow interaction. Dependent variables included calf condition supplement, change per individual supplement. cow and the Individual cow by supplement was used as the error term. Trial 2. 1987 SAS GIM (1985) was utilized to determine the effect of previous days ambient air temperature (lag(L) = I to 20 days) on daily OMI, DGT, and DGTI. This analysis utilized components of a model developed by Senft and Rittenhouse (1985) to determine thermal acclimation lengths for cattle. These components included running mean temperatures (TaccIi (L))' daily mean temperature (Tjj , and short-term thermal stress (SITS). Running mean temperatures were calculated using mean daily temperatures for the L days previous to the present day (i), but not including day i: Taccli(L)= [(sum of L days for j=l to L)*(T(i-j))]/L - The variable L does not indicate the complete time for physiological acclimation, but time in the immediate past that has the greatest impact on the current acclimation state. chosen to approximate values of 9-14 L values of I to 20 days were d reported by Senft and Ritterihouse (1985) as the time course of thermal acclimation for cattle throughout a year. Tj. was calculated as the weighted mean of daily maximum temperature (Imax(I)), daily minimum temperature CIkLn(i)), and 31 minimum temperature for the following [(2^max(I) )+ (%Ln(i))+ (Tmin(i+l))]/4 - day (Txnin(i+1)): Ti= ^TTS on day i was defined as the difference between Tj and the hypothetical acclimated temperature [TaccI (i)]: STTS= [ (Ti)-(Taccl(i))]• Responses of O H , to STTS for L values of I to 20 d were analyzed. in the model were CMC, DGT and DGTI. DGT and DGTI Dependent variables Indepenient variables included individual cow, SITS, and individual cow by STTS. The model was tested with individual cow by STTS as the error term. the effect of wind-chill temperature (WCT) In addition to STTS, on CM, DGT, and for acclimation lengths (L=I to 20 days) was analyzed using SAS GIM (1985). WCT was calculated using an equation from Johnson et al. (1987) derived from data published by Ames (1974) and Ames and Insley (1975). The equation incorporates linear terms for wind speed and temperature and, a quadratic term for wind-speed squared: (.995*temp) + (.000013*wind)2]. and averaged per grazing temperature value. WCT= [(-1.4109)-(.00334*wind) + Wind speed (km/d) was averaged daily interval while SITS was utilized as the When combined with wind speed, STTS would give a truer picture of acclimation lengths, because it represents deviations from an acclimated temperature not just a daily average temperature. Independent variables in the model included CM, DGT, and DGTI. Dependent variables were WCT, individual cow, and WCT by individual cow. The error term was WCT by individual cow. The influence of fecal bags on DGT, DGTI, and DT was also determined using SAS GIM (1985). Dependent variables were DGT, DGTT and DT. included individual cow, week of the trial, Independent variables presence or absence of 32 fecal bags and the individual cow by fecal bag interaction. was tested against individual cow by bag as the error term. The model 33 RESULTS Trial I. 1986 Forage Intake , There were no differences (P>.05) in forage organic matter intake (%BW, OMB) between supplements supplements was 0.94 %BW. 0.95 BW, respectively. 3). Average CMI for all BM and FAT had the highest OMI, 0.98 and OGM, SBM, and 00N were lower and consistent, ranging from 0.91 to 0.93 %BW. trial. (Table IVCMD was estimated at 36% during the CMI from rectal grab samples was adjusted based on percent Cr203 recovery per supplement, amount of Cr203 fed per day, and fecal Table 3. Forage organic matter intake (0MI %BW, 0MB) for each supplement,. Trial Ia*3. Supplement OMI+SE (%BW, (MB) 00N 0.91+.05 SBM 0.92+.07 BM 0.98+.07 OtM 0.93+.06 FAT 0.95+.06 aIeast-squares means + standard error. bR>.05. 34 output estimates from total fecal collections. Estimates of fecal outputs for all supplements are listed in Appendix Table 15. Cr2Og recovery from rectal grab samples was 86.4%. supplement ranged from 68.2 to 95.3%. recovery per supplement from rectal Average Mean recovery per Cr203 fed per day and mean grab samples and total fecal collections are listed in Appendix Table 13. Grazing Behavior Total daily grazing times, grazing times per interval, and distance travelled per day (Table 4) were not different (P>.05) between supplement groups. The overall average DGT (0701-0700) was 8.56 h or 35.7% of each day. CON cows had the highest DGT (9.04 h) followed by SEM (8.75 h ) , CGM (8.39 h), FAT (8.33 h) and EM (8.26 h ) , respectively. Overall average DGTI were 2.69 h from 0701-1300, 3.94 h from 1301-1900 and 2.24 h from 1901-0700. 18.7% of the respectively. hours These times represented 44.8%, 65.7%, and available for grazing in each interval, CON cows also grazed longer from 0701-1300 (2.79 h) and 1901-0700 (2.62 h ) . OGM cows grazed the longest (4:11 h) from 1301- 1900; which represented the most important grazing interval for all supplement groups. Grazing times from 1901-0700 showed the greatest variation among supplements while the 0701-1300 interval was the most consistent. 4.6 tan/d. Average distance travelled per day for all supplements was SEM and CON walked the farthest, respectively. 5.3 km/d and 5.1 W d , 35 All supplement groups had one 3-, 4-, 5-, and 6-yr-old cow wearing a vibracorder and a pedometer throuc^iout the study. limitations and the study objectives, Due to statistical analysis combined age groups within each supplement and did not analyze for age differences in OMI, DGT or DGTI. Table 4. Daily grazing time (h), grazing time per interval (h) and distance travelled (km/d) for each supplement. Trial Ia . Daily (h) Supplement 0701-0700 Grazing Interval (h) 0701-1300 1301-1900 1901-0700 Distance Travelled (kny/d) 2.79b 3.SOb 2.62b 5. Ib SEM 8.75b 2.61b 3.96b 2.29b 5.3b EM 8.26b 2.67b 3.86b 1.94b 4.7b 4. Ilb 2.13b 4.Ib 3.88b 2.20b 4.Ob .21 .31 2.68b FAT 8.33b 2.69b SEc .19 S OGM CO 9.04b % n CON .58 aLeast-Squares means. bPXOS. cPooled standard error of the least-squared means calf Rirtliweiaht. Cow Body Weight and Condition Score Calf birthweight (Table 5) was unaffected (P>.05) by supplement. Overall average calf birthweight was 38.4 kg. Cow body weight (Table 5) was affected (Pc.OS) by supplement. CON lost 46.4 kg which was more (Pc.OS) than other supplement groups. Cows in EM (-.46), CCM (-.69), 36 and FAT (-.63) lost less condition (P<.05; Table 5) than CON (-.95). SBM lost .93 condition units which was different (PC.05) than all other supplement groups. Initial, final, and change in body weights and condition scores for all supplement groups are listed in Appendix Table 16. Table 5. Calf birthweight (kg), pre-calving cow body weight change (kg) and condition score change for each supplement. Trial Ia . Supplement Calf Birthweight (kg) i' Body Weight Change (kg) Condition Score Change - r CON 37.8b -38.Bb -.95d SBM 38.7b -17.7C -.93d BM 38.4b -4.5C — .46e CGM 39.2b -10.8° -.69e FAT 38.Ob -11.2° -.63e SEf 1.14 13.2 .122 aLeast-squares means. bcd^Ieans without common superscripts differ (Pc.05). fPooled standard error of the least-squares means. Climatic Conditions Average ambient air temperatures (C) for each month during trial I are listei in Table 6. On the average, temperatures were 1.3 C warmer than long-term averages (National Oceanic and Atmospheric Association 1986). These data show that weather conditions were relatively mild 37 during the trial and may have attributed to small differences in forage intake and grazing times for supplemented and unsupplemented animal. Table 6. Average ambient air temperature (C), long-term average, and deviation from normal for each month. Trial I. Deviation From Normal Temperature (C) Long-term Average (C) December -1.5 -1.2 -0.3 January -2.2 -3.4 +1.2 February +1.3 -0.5 +1.8 March +3.9 +1.3 +2.6 +0.4 2.8 -0.9 1.9 +1.3 1.2 Month Mean SE Trial 2. 1987 Forage Intake The effects of STTS (Senft and Rittenhouse 1985) on daily forage organic matter intake for acclimation lengths of I to 20 days are presented in Table 7. STTS increased (MT (P<.05; .0003 to .0006 %BW) for acclimation lengths of I, 2, and 3 days, but normal CMI regimes returned within 72 h. All other lag periods were not significant. To determine effects of wind speed on (MI, wind-chill temperature (Johnson et al. 1987) was analyzed for acclimation lengths of I to 20 days (Table 8). WCT affected (ME similarly to STTS. Acclimation lengths of 38 I to 3 days increased CMI (P<.05) by acclimation lengths were significant. Table 7. .0002 to .0005 %BW. No other Again, normal CMI regimes Significant responses of daily forage organic matter intake (CHE %BW, 0MB) to short-term thermal stress and magnitude of response (%BW) for acclimation lengths of I to 20 days, Trial 2. Acclimation length Period (d) CHE/d (%BW, (HE) I ** +.0003 2 ** +.0003 3 * Magnitude of Response (%BW) +.0006 . 4-20 *P<.05 **P<.01 Table 8. Significant responses of daily forage organic matter intake (CHE %BW, (HB) to wind-chill temperature and magnitude of response (%BW) for acclimation lengths .. of I to 20 days, Trial 2. Acclimation length Period (d) CHE/d (%BW, 0MB) Magnitude of Response (%BW) i I * +.0005 2 ** +.0002 3 .* +.0003 4-20 *P<.05 * * P <.01 39 returned within 72 h. STIS and WCT influenced acclimation lengths although responses were small. CMI for various However, if these adjustments do not occur over an entire winter then the additive affects of decreases in CMI would impinge on survival. These data determine that animals are capable of making minute changes in CMI in relation to acute thermal stresses and are finely attuned with environmental conditions. In vitro organic matter digestibility presented in Appendix Table 18. from rumen extrusa is Chromic oxide recovery from total fecal collections and rectal grab samples are found in Appendix Table 19. Weekly fecal output estimates for all cows are listed in Appendix Table 20. : f. Grazino Behavior The effects of STTS on total daily grazing times and grazing times per interval for acclimation lengths of I to 20 days are listed in Table 9. DGT and CMI responded similarly to STTS. However, in contrast to the positive effects of STTS and WCT on OMI; DGT decreased (P<.05) . Acclimation lengths of I to 3 days were significant but responses were gmal I (-.010 to -.005 h/d). DGT was unaffected (P<.05) by all other acclimation lengths (4 to 20 days). unaffected (R>.05) by STTS. Grazing times from 0701-1300 were Grazing times from 1301-1900 and 1901-0700 showed several significant responses. From 1301-1900 responses were negative (.0007 to .005 h/d) for acclimation lengths of 8 to 20 days. 40 Generally, the more significant and larger responses were associated with increased acclimation lengths. positive and negative. This For 1901-0700 responses were both interval probably represents the most stressful period because there are no warming effects from sunshine. The effects of WCT on DCT are listed in Table 10. of I, 2, 3, and 14 days affected DCT (P<.05). of STTS and WCT on CHE, and SITS on DCT. small, ranging from .002 to .007 h/d. Table 9. Acclimation lengths This follows the trends Responses of DCT to WCT were Grazing times from 0701-1300 Significant responses of daily grazing times (h) to short-term thermal stress and magnitude of response (h) for acclimation lengths of I to 20 days. Trial 2. Acclimation Length Period (d) . I 2 , 3 4 ■ 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 *P<.05 **P<.01 ***P<.0bl Grazing Intervals (h) 1301190107011900 0700 1300 Daily 0701-0700 * (-.010) *** (-.003) * (-.005) • * (-.0001) * ** ** ■** *** *** *** *** *** *** *** *** *** (-.0005) (-.0006) (-.0006) (-.0006) (-.0006) (-.0006) (-.0007) (-.0007) (-.0007) (-.0006) (-.006) (-.007) (-.005) * (+.0002) * (-.0008) * * * * (+.0001) (+.0003) (+.001) (+.001) 41 were unaffected (B>.05) by WCT for any lag day. WCT for acclimation lengths of I and 19 days affected (P<.05) grazing time from 1300-1901. For lag day I, grazing time decreased .002 h/d while for lag day 19 it increased .001 h/d. Grazing times from 1901-0700 were affected by WCT (P>.05) for acclimation lengths 3, and 8 to 20 days. negative (-.0007 to -.011 h/d), possibly Each response was showing increased influence during this nighttime grazing interval. Table 10. Significant responses of daily grazing times (h) to wind-chill temperature and magnitude of response (h) for acclimation lengths of I to 20 days, Trial 2. Acclimation Length Period (d) I 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Daily 0701-0700 * (-.007) ** (-.003) * (-.005) 13011900 Grazing Intervals (h) 190107010700 1300 * (-.002) * (-.005) * (-.010) * (+.001) *P<.05 **P<.01 ***Pk.001 * * ** ** ** *** *** ** ** ** ** ** *** (-.007) (-.006) (-.006) (-.006) (-.007) (-.007) (-.007) (-.007) (-.008) (-.007) (-.007) (-.009) (-.011) wind 42 Influence of Fecal Baas on Daily Grazing Times DGT decreased 24.2 minutes (4.8%) by the presence of fecal bags (Pc.OOl, Table 11). Grazing times from 1301-1900 and 1901-0700 were unaffected (P>.05) by the presence of fecal bags. Numerically, grazing times were 35.7 minutes greater (28.1%) from 1301-1900 and 12 minutes Table 11. Influence of fecal bags on daily grazing times (h) and magnitude of response (min), Trial 2a . Grazing Interval Mean SquarefSE P Min Daily (0701-0700) 8.49+1.29 *** -24.2 12.0 1301-1900 4.17+0.67 - 1901-0700 2.12+0.99 +35.7 0701-1300 2.40+0.73 *** -10.7 aIeast-squares means. ***P<.001 less (4.8%) from 1901-0700. Presence of fecal bags decreased grazing time (P<.001) from 0701-1300 by 10:7 minutes (7.4%). This response was dne to the weight of bags, prior to changing at 1130 h. output values ranged from 20 to 30 kg/d per Typical fecal animal and visual observations indicated that cows travelled and grazed less when bags were full. Distance travelled per Appendix Table 21. day in weekly intervals is listed in 43 DISCUSSION Trial I. 1986 Forage Intake There were no significant differences in forage organic matter intake among supplement groups. ' Average C M was 0.94 %BW, which was consistent with values reported for free-roaming cows grazing winter range. Smith (1968), using similar methods as this trial, determined intake at .96 %EW for cows grazing winter range in Nevada. (1970) reported Nebraska. intake of %BW for cattle on winter range in Dunn (1986), using the same pasture and supplements, had an average OMI of 1.25 %BW. various ways. intake. 1.0 Rittenhouse EM, Individual supplements influenced CMI in a bypass protein source, had the highest forage Miner (1986) stated this may have been related to increased fermentation rate and digestibility, or improved protein status caused by increased protein presenter to the small intestine. energy source, had the second highest OMI. FAT, a bypass Possibly, lipids from the animal fat coated the soybean meal portion of this supplement and rymppd it to act like a bypass protein source in addition to a bypass energy source (Miner 1986). These results agree with Dunn (1986), who reported similar CME responses for cows fed blood meal and animal fat. Different supplements influence CME in various ways among years, 44 trials, and seasons (Kartchner 1981). During the winter months, forage quality estimates and environmental variables may limit differences in forage intake to supplementation. - IVCMD of winter forage may range anywhere from 20 to 50%. This relatively high indigestibility is, hypothesized to limit intake through rumen-fill mechanisms (Campling and Balch 1961, Baile and Forbes 1974). Supplementation alleviates some of these restrictions through increased passage rates 1985, (Westra and Christopherson 1976, Kennedy et al. 1986), Branine and Galyean increased efficiency of rumen microbes (Kennedy et al. 1976, Kennedy et al. 1982), and increased availability of nutrients limiting microbial activity (Mir et al. 1986, Clark and Petersen 1986). However, relative differences between supplemented and unsupplemented animals are often small and nonsignificant. trial, CMI for supplemented unsupplemented cows was 0.91 cows %BW. was 0.95 Turner %BW (1985) During this while and CMI Dunn for (1986) reported similar values, 1.2 %BW versus 0.99 %BW for supplemented and unsupplemented cows, respectively. These small relative differences in CML between supplemented and unsupplemented animals may be due to two factors. First, IVCMD values were obtained from unsupplemented animals. This value was used for all cows, regardless of supplement type, for calculation of forage intake. increase digestibility of Protein supplements have been shown to feedstuffs (Campling et al. 1962, Egan 1965). above unsupplemented animals This fact would suggest differences in CME between supplemented and unsupplemented animals. Fecal output values estimated from rectal grab samples ranged from 0.98 %BW for CON 45 to 1.06 %BW for EM and these showed significant differences. To accurately calculate forage intake, IVCMD values should be determined for each supplement group. The in vitro process may not be an appropriate method for determining differences in digestibility and forage intake among supplemented and unsupplemented animals. To obtain correct digestibility values, nylon bag digestion trials should be run two or three times during unsupplemented animals. the trial for both supplemented and If neutral detergent fiber was utilized for a digestibility value it would account for differences in rumen microbial populations among supplements. Usirg one IVCMD value for all animals negated any possible differences in (HE among supplements. Second, weather variables including ambient air temperature, wind speed, barometric pressure, and snow cover affect the availability and quality of nutrient supply and Smith 1976). (Thompson 1973, Robertshaw 1974, Malechek To maintain energetic efficiency, free-roaming cows adapt foraging strategies to these conditions. Several studies have reported CHE increases in response to acute thermal stress (Baile and Forbes 1974, Weston 1979 1982, increases Senft and Rittenhouse 1985). directly compete with metabolizable energy grazing, growth, and maintenance. These available for If energy cannot be repartitioned to offset thermal stresses or if energy that is repartitioned does not satisfy energy demands then maintenance requirements are not met. Supplementation alleviates these strains, but may not be able to offset increased energy demands. These two factors; one IVCMD value for all animals and increased energy demands from thermal stresses, caused (HE to be expressed in a harrow range during this trial. It may also be a •? 46 plausible ej^lanation for the narrow range of winter CM values total daily reported in the literature. Grazing Behavior Supplementation did not significantly influence grazing time, grazing time per interval or distance travelled per day. Results from these data substantiate forage intake responses. of C M to DGT are 11.3+.58% to unsupplemented animals, 10.1+.72% respectively. Ratios for supplemented versus This indicates supplementation increases efficiency of obtaining forage by increasing intake per unit tine spent grazing. Distance supplemented travelled with per either day bypass showed similar protein or responses. energy Cows travelled less compared to unsupplemented cows. The exception to this trend were the SBM km/d. cows which travelled 5.3 Possibly, SBM was meeting requirements more efficiently than CON, but not as efficiently as the other supplements. This would allow for increased distance travelled per day over CON cows but still maintain relatively high forage intake and grazing time. trends of DGT. Grazing times per interval followed the general Supplemented cows grazed less from 0701-1300 and 1901- 0700 than CON cows. grazing interval. The exception to this response was the 1301-1900 Here, supplemented cows grazed more than CON cows. Environmental conditions experienced from 1301-1900 were normally less stressful than supplementation during increased other grazing efficiency of intervals. obtaining forage; Assuming grazing 47 regimens for supplemented animals were not as strict as unsupplemented animals. Therefore, a greater percentage of grazing occurred during the 1301-1900 interval. Arnold and Dudzinski (1978) reported daylength was usually correlated with less stressful environmental conditions and these factors influenced initiation and duration of daily grazing intervals. Although supplementation decreased daily grazing times, declines were relatively suggested small grazing (CON times grazed operated 2.6% similar longer to each range day). forage This intake. Activity (including grazing and walking) has been suggested as the most expendable sink for metabolizable energy in the short-term (Senft and Ritterihouse 1985). Assuming CON cows represented maximum grazing times during the winter months, supplementation decreased grazing times below this maximum threshold. This was consistent but inverse t& the effects of supplementation on range forage intake. Calf Birthweiqht, Cow Bodvweiqht and Condition Score Calf birthweight was unaffected by supplement, although CON cows had numerically smaller calves (38.6 kg). (37.8 kg) than supplemented animals Prepartum cow body weight change was significant with supplemented cows having reduced losses (-14.5 kg) compared to CON cows (-44.4 kg). Condition score followed similar trends. CON cows lost significantly more condition units compared to supplemented groups. The bypass supplements either CON or SEM, (EM, CGM, and FAT) possibly due to lost less condition than increased efficiency of rumen 48 microbes related to improved protein and energy status in the small intestine (Miner 1986). Trial 2. 1987 Determining environmental effects on winter foraging strategies for free-ranging cows requires an intensive labor investment in data collection and proposed as laboratory analyses. means for overcoming Mathematical models have been these restrictions. This trial utilized components of models developed by Senft and Rittenhouse (1985) and Johnson et al. stress (1987) for determination of short-term thermal (SITS) and wind-chill temperature (WCT) to further analytical \ interpretation of these data. Thermal acclimation of free-ranging beef cattle is a continual V 'i process that changes with differing environmental conditions. air temperature temperatures conditions and is a major metabolic (Webster 1970). factor rates of Acute or influencing animals lower under Ambient, critical free-ranging short-term cold exposure has immediate effects on thermal metabolic rates in contrast to chronic cold exposure, which persists for a longer duration and induces a new acclimation state. Senft and Rittenhouse (1985) used short-term thermal stress (STTS) as a means for determining acclimation lengths of forage intake and grazing behavior for beef cattle throughout a year. This indice represented deviations of present days temperature from a hypothetical acclimated temperature. Wind speed has been suggested as aggravating the affects of temperature (Ames 1974, Ames and Insley 49 1975). At cold temperatures, (Webster 1970) 1979). wind induces higher heat production and a higher metabolic Johnson et al. rate (Christopherson et al. (1987) developed a model utilizing wind-chill temperature (WCT) to determine the effects of wind speed in combination with temperature on forage intake of grazing steers. quantified response acclimation to ambient lengths air for winter temperature or Few studies have foraging wind strategies speed. This in trial attempted to quantify the effects of STTS and WCT on both daily range forage organic matter intakes and daily grazing times of free-ranging prepartum cows for acclimation lengths of I to 20 days. Forage Intake Short-term thermal stress increased daily range forage organic matter intake for acclimation lengths of I, 2, and 3 days. times (4 to 20 days) did not affect C M . similar responses. acclimation lengths The of first 4 to three Wind-chill temperature showed lag days increased 20 days had no affect. responses of intake to WCT were smaller than to STTS. be two explanations for this response. Other lag CM but In general, There appear to First, when calculating WCT, . ambient air temperature was weighted more heavily in the equation than wind speed and therefore had a more pronounced effect on C M . during the trial wind speed and STTS had an Second, inverse relationship. During times of significant SITS, wind was almost nonexistent; when wind speed was high, the effects from STTS were minor. relationship lasted for the duration of the entire trial period. This 50 Observed increases in CM in relation to STTS and WCT for acclimation lengths of I, 2, and 3 days disagreed with data reported by Adams et al. (1986). They concluded forage intake was reduced during adverse winter weather. These discrepancies may relate to times when research was conducted and methodology. Adams et al. (1986) obtained forage intake data from November 16, 1983 to December 9, 1983. matter intake declined from 12.1 to 6.8 kg/d. and consistent throughout the study period. used for total fecal collections. CM Dry This decline was linear In addition, steers were from rectal grab samples is calculated based on fecal output from total fecal collections and the ratio of chromic oxide recovery from total collections compared to grab samples. If accurate C M values are to be obtained, animals of similar sex, breed, age, and weight should be used. Body weights of the steers were 390 kg compared to two age groups of cattle used for rectal grab samples, six 3-yr-olds and six 6-yr-olds, who weighed 466 and 545 kg, respectively. In addition, using six animals from one age group may not represent a big enough sample size due to limited degrees of freedom (Cordova et al. 1978). Intake values were significantly higher from November 28 to December 16 than from December 19 to December 30. These data support a hypothesis that during late fall to early winter, animals are developing a thermoneutral zone and lower critical temperature for winter conditions and metabolically adjusting to lower quality forage; therefore forage intake values decline. During the present trial 2, forage intake was obtained from January 10 to February 28 using sixteen 5-yr-old pregnant cows. and contributed rectal grab samples. All animals wore fecal bags Utilizing animals of the same age 51 and approximately the same weight (550 involved in range nutrition studies. kg) reduces the variation Forage intake remained constant (0.92 %BW) except during periods of STTS or WCT. returned to normal after 72 h. an established thermoneutral However, OMI regimes During this time period, animals have zone and lower critical temperature. These two studies examined two distinct acclimation periods for freeranging cattle. forage Once animals are acclimated to winter conditions, intake remains relatively constant; when involved in winter acclimation, intake declines. Higher intakes may fuel increases in heat production maintains homeothermy under stressful thermal conditions. Blaxter (1964) which Joyce and and Webster and Blaxter (1966) reported increases in heat production may take anywhere from 30 minutes to 3 h to reach equilibrium. In this trial increased CMI lasted up to 72 h in response to SITS, which suggested shorter acclimation lengths than previously proposed. Senft and Ritterihouse (1985) reported cattle physiologically acclimated to the mean temperature regime experienced from the previous 11 days. In their analysis, any day with significant wind speed or precipitation was results because excluded from the model. reactions to wind increases in absolute temperature. determine the additive temperature on C M . effects speed This may have are felt skewed, as .declines or In this trial, WCT was assumed to of wind speed Acclimation lengths, for C M and ambient air- in relation to STTS and WCT were similar, indicating the effects of wind speed were already incorporated into the STTS equation. If free-ranging cattle are reacting to absolute temperature changes, then surface body temperature 52 should be directly measured to accurately represent the thermal environment animals are experiencing. Daily Grazing Time Behavioral acclimation has been proposed as a means for offsetting STTS (Senft and Rittenhouse 1985). Grazing times during intervals within a day have decreased in response to rapid increases or decreases in ambient air temperature (Dunn 1985). times remained constant. However, total daily grazing Little is known about the effects of wind on grazing behavior and the acclimation process. For this trial, both STTS and WCT for acclimation lengths of I to 20 days were analyzed to determine effects on daily grazing time and grazing time within specified intervals. As with CM!, STTS for acclimation lengths of only I, 2, and 3 days influenced DGT. However, in contrast to CM,. responses were negative. A similar pattern for WCT was seen. grazing time. positive The first three lag days decreased This agrees with Malechek and Smith (1976) who found a correlation between daily grazing and air temperature. Specifically, reducing the minimum daily temperature from 0 to -40 C resulted in approximately a 50% reduction in DGT. lag day 14 also decreased grazing time. In addition, WCT for This apparent deviation from other responses may be due to Type I error in data analysis (Steele and Torrie 1960). When alpha levels are set at the .05 level, 95 percent of the time results received are correct. -Hinp results are incorrect. However, 5 percent of the This 5 percent rejects the hypothesis that 53 thermal stresses (both STIS and WOT) of the previous 3 days influenced CMI and DCT under winter environmental conditions. With nearly 2,000 possible combinations of daily grazing times and acclimation lepgths, this type of error could realistically occur. Furthermore, high, coefficients of variation for grazing behavior data (15 to 25%) lends credence to this explanation. If grazing time parallels forage intake, then grazing times should have increased in response to STTS and WCI. However, because of the negative effects of STTS and WCI on grazing time and apparent inverse relationship between CMI and DCT under thermal stresses; animals either increased bite rate or bite size. it appears The coarse fibrous nature of winter forage, constant mouth size of animals, and moderate-' to-light stocking rates of the study pasture diminish the possibility for increased bite size. Therefore, bite rate seems a more logical explanation for increased CMI and decreased in DCT in relation to STTS and WCI. stresses amount If animals increased biting rates during acute thermal (SITS and WCT), then more forage was obtained in a shorter of time temperatures. which This may minimized also thermal explain drains grazing supplemented compared to unsupplemented animals, on time body core decreases in even though forage intake values for supplemented animals were higher. Grazing times responses. for different grazing intervals showed different Grazing times from 0701-1300 were unaffected by STTS and WCI for all acclimation lengths. From 1301-1900 STTS for acclimation lengths of ,8 to 20 days decreased grazing times. significant and larger responses were In general, the more associated with increased 54 acclimation lengths. From 1901-0700, grazing times showed positive and negative responses to STIS. thermal stress. as daily Positive responses may not constitute If grazing times per interval follow the same pattern grazing tine, . one would expect values to decrease. Considering acclimation lengths of 17 to 20 days showed increases, these values may relate more to additive effects of STTS on grazing time than significant thermal stresses. Grazing times from 1301-1900 were significant under WCT for acclimation lengths of I and 19 days. Again, lag day 19 had a positive response, possibly relating to Type I error. During the nighttime grazing interval (1901-0700), WCT decreased grazing times for acclimation lengths 3, and 8 to 20 days. This indicated wind speed was more thermally stressful at night because the warming effects of sunshine were absent. Long and short wave radiation may play substantial roles in successful adaptation to acute thermal stresses. Influence of Fecal Bags on Daily Grazing Time Several variables influence grazing behavior of free-roaming beef cows. Some include forage quality and quantity, social facilitation, previous grazing experience, variables. Studies have stage of production, reported grazing times and environmental for various free- roaming and confined settings under numerous environmental conditions. Forage intake values have also been reported for various settings and conditions. Many of these data are obtained through the use of total fecal collections. Quite often forage intake data are obtained from 55 different animals than those used for grazing behavior collections. In some instances, steers are used for total fecal collections while cows are used for grazing behavior collections (Adams et al. 1984). may lead to discrepancies in data This interpretation due to different physiological demands of the animals. Few studies have determined the influence of fecal bags on grazing behavior. During this trial, four groups of four cows wore fecal bags for 96 h collections in January and February. All animals also wore vibracorders and pedometers to estimate daily grazing time and distance travelled during that time. The presence of fecal bags decreased total daily grazing time by 24.2 minutes or 4.8%. unaffected by fecal Grazing times from 1301-1900 and 1900-0700 were bags. However, decreased 10.7 minutes or 7.4% of 6 h. grazing from 0701-1300 During this interval, bags were heaviest prior to being changed at 1130 h. output values ranged from 20 to 30 kg/d per was fecal Typical fecal animals and visual observations indicated that cows grazed and travelled less during this interval. To determine the real influence of fecal bags on grazing time, one should relate forage intake declines to daily grazing times. Assuming cows took 50 to 60 bites per minute (Funston 1987), each bite gathered 0.5 g of forage (Leaver 1985) and fecal bags decreased DGT by 24.2 minutes; this represented .605 to 726 grams of lost material per day. Over a 96 h total fecal collection period, 2.4 to 2.9 kg of forage were lost. Obviously, fecal bags have substantial effects on both grazing behavior and forage intake. However, total fecal collections are the most best widely accepted and available collection device for 56 estimating forage intake under free-roaming conditions. Until different methods acceptable for range' conditions are developed., data interpretation should include adjustment values fecal bags. for animals wearing 57 SUMMARY In trial I, supplementation did not significantly influence winter foraging strategies of free-roaming pregnant cows. Supplemented cows lost significantly less body weight and condition than control cows. Numerically, forage intake increased and daily grazing time decreased for supplemented animals but relative differences from control cows were small and nonsignificant. Calf birthweights did not significantly differ between supplemented and control animals. months, forage I stressful. quality These two is low and During the winter environmental factors combine to limit conditions forage intake are and I grazing behavior responses to supplementation. range forage It was concluded that intake and grazing behaviors were expressed within a narrow potential range under winter forage quality and environmental restrictions. minimum Supplementation elevated these foraging strategies above thresholds for free-roaming prepartum cows grazing native range. During trial 2, all cows acclimated to short-term thermal stress and wind-chill temperature within 72 h. x and daily responses grazing were significance. showed time small decreased and to interpreted Range forage intake increased acute as having Grazirg times from 0701-1300, variable responses. Generally, associated with larger acclimation lengths. thermal stresses little but biological 1301-1900 and 1901-0700 increased responses were In summary, free-roaming prepartum cows are relatively unaffected by short-term thermal stress 58 and wind-chill temperature. When these reacclimation occurs within 72 h. stresses are experienced, Under STIS and WCT, forage intake and grazing behavior are inversely correlated. The presence of fecal bags decreased daily grazing time by 24.2 \ minutes. Grazing times from 1301-0700 were unaffected by the presence of fecal bags. Grazing time from 0701-1300 was decreased 10.7 minutes by the presence of fecal bags due to increased bag weight prior to changing at 1130 h. It was concluded that total fecal collections have a pronounced negative effect on total daily grazing times and grazing times up to six hours prior to changing bags. 59 RECOMMENDATIONS In hindsight, several things might have been changed during these trials to increase the accuracy and precision of data collection. trial I, cows body weight values had very high standard errors. In The method of weighing involved moving animals out of the study pasture, feeding hay and water overnight, then weighing all animals the next day. If all cows were weighed in the study pasture standard errors would probably be lowered. Durirg trial 2, cows were weighed twice weekly which increased accuracy; however, snow, wind and animal feces often biased weights. I suggest an enclosed scalehouse or enclosure of the entire chute used for data collection. During trial I chromic oxide was combined with supplements then fed. Failure supplements to probably achieve even influenced concentrations forage intake in the values. different This was especially true for the animal fat supplement. In addition, cows were supplemented on alternate days. Diurnal and daily variations in the excretion of chromic oxide would also influence forage intake values. This problem was eradicated during trial 2 when all cows were bolused daily with 10 g chromic oxide in a gelatin capsule. In trial I rectal grab samples were taken from all 61 cows at the sane time as total fecal collections. However, fecal bag cows were grabbed first and then the rest of the cows were grabbed. These time lags may have influenced the amount of chrpmic oxide in the feces. If fecal excretion curves could be determined for the animals this would 60 account for some of the variation in sampling method. In addition, if all cows could be grabbed before being supplemented it would increase accuracy of fecal chromium concentrations. One consistent problem between trials was estimation of distance travelled. This factor could explain considerable variation in grazing efficiency between normal conditions and acute thermal stresses. If pedometers are utilized, then more accurate correction factors should be used. Bite rate should be quantified during the winter months. This may help explain forage intake increases to acute thermal stress although grazing time decreases. Measurement of the body surface temperature of animals would give a clearer indication of the thermal regimes animals are experiencing. Possibly electrodes could be inserted into eartags and monitored with a computer system. indication of thermal regimes. This would give a realistic If body core temperatures were also measured, this may give an indication of the heat production of the animal. Cattle used for total fecal collections should become familiar with fecal bags at least one month before collections start. This would decrease expenditures spent on new bags and repair of old bags. It may also become allow for more accurate collections as the animals accustomed to wearing a fecal bag. A complete processing of samples as soon as they are collected would expedite the graduation process. Laboratory procedures should be formally outlined with all necessary equipment in good working order. In addition, computers should be available for use at all times. 61 Ccmputer accounts should include enough space and money to enhance rather than restrict data analysis. Two or three computers should be available and reserved for graduate student use. This would reduce the student demand on computers that are being used by major professors. It would also allow graduate students with more computer expertise to assist those with fewer skills. 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Step Description 1 Tabp-1 test tubes (borosilicate 100 ml) in numerical order using heat marker. 2 Weigh .2 g sample into tubes (duplicate samples). 3 Ash overnight at 450 C in muffle furnace. 4 Allow tubes to cool 5-10 minutes. 5 Place four glass beads (3 mm) into tubes to prevent bumping. 6 Ad 1.5 ml chromium digestion solution (600 ml distilled H2O, 600 ml sulfuric acid, 800 ml 70% perchloric acid, 40 g sodium molybdate) with repipet dispenser. 7 Place aluminum plate over hot plate (see Figure I). 8 Turn on hot plate to 150 C for 1-1.5 h or until majority of sairples are a yellow to orange color. 9 Slowly turn up hot plate in 25 C increments every 30 -minutes (maximum temperature reached should be 500 C). 10 Remove samples from hot plate when 8 mm fluid is left in tubes. 11 Allow to cool 15-20 minutes under acid hood. 12 Add 8 ml distilled H2O to each tube and vortex for uniformity. 13 Centrifuge tubes for 5 minutes at 1500 rpm. 14 Read tubes on flame spectrophotometer at 400 nm using tungsten lamp, purge with distilled H2O between each sample aModified from Fenton and Fenton (1979) and Costigan and Ellis (1986). 75 Table 13. Chromic oxide fed (g/d) and recovery (% as fed) from total fecal collections and rectal grab samples for each supplement, Trial I. Supplement fed (g/d) Recovery (% as fed) Rectal Grab Total Fecal Samples Collections SEM 19.65 85.8 68.2 EM 16.07 107.3 90.9 CCM 13.48 119.1 95.3 FAT 14.60 116.5 91.0 Table 14. Meansa for esophageal extrusa in vitro organic matter digestibility (IVCMD) and crude protein (CP), Trial I. Month IVOMD CR December' 36.5 6.6 January 36.9 7.5 February 36.9 6.1 36.8+2.3 6.9+.95 means+SE aMeans within a month represent two to three collections of two to three cows. 76 Table 15. Daily fecal output (PO, %BW) estimated using total fecal collections, Cr2Ogz and rectal grab samples for each supplement, Trial Ia . Total Fecal Collections Cr203 Samples From Totals CON •55b — — SBM .58b .54b .98b BM .62b .74c 1.06c OGM •59b .61b 1.00b .63b 1.03b .083 .035 I Supplement FAT SEd .025 Rectal Grab Samples — aLeast-Suqares means. ^cMeans in the same column differ (Pc.05). ^Pooled standard error of the least-squares means. Table 16. Supplement Initial, final and change in cow body weight (kg) and condition score for each supplement, Trial Ia . Body Weight (kg) Change Initial Final Condition Score Change Initial Final CON 488.2b 449.5b -38.Tb 4.28b 3.33b -0.95b SBM 496.5b 478.8b -17.7C 4.51b 3.58b -0.93d BM 504.5b 500.Ob -4.5C 4.31b 3.85b —0.46c CGM 486.3b 475.5b -10.Se 4.39b 3.7(fi —0.69c FAT 504.8b 493.6b -11.2° 4.55b 3.92b -0.63c 19.6 13.2 .178 .338 .122 SEe 8.7 aLeast-squares means. bed Means in the same column differ (Pc.05). ePooled standard error of the least-squares means. 77 Table 17. Qiromic oxide (Cr2Oa) recovery (% as fed)a per cow from total fecal collections and rectal grab samples Trial 2. Recovery ,(% as fed) Total Fecal Rectal Grab Collections Sanples Cow 2019 74.1 71.4 2043 79.4 72.5 2052 77.5 72.3 2063 74.1 67.1 2065 71.4 66.2 2069 76.3 65.4 2084 80.0 76.3 2085 75.8 69.9 2099 75.8 66.8 2119 73.5 68.6 2138 70.4 62.1 2177 71.9 64.3 2179 83.1 85.2 2209 69.4 66.3 2241 104.5 94.7 2248 75.2 68.3 77.0 71.1 Mean aAll cows were bolused with 10 g/d Cr2O3 in a size 10 gelatin capsule. 78 Table 18. In vitro organic matter digestibility (IVQMD) from rumen extrusa for each week, Trial 2a . ■Week IYOMD 1/04-1/10 31.24 1/11-1/17 35.04 1/18-1/24 36.57 1/25-1/30 34.29 1/31-2/07 38.57 2/08-2/14 34.16 2/15-2/22 30.94 2/23-2/28 32i63 MeanfSE 34.13+3.97 aLeast-squares means, P>.05. x 79 Table 19. Fecal output (PO, %BW) for each cow for each week estimated from rectal grab samples. Trial 2a . ■Fecal Output (PO, %BW) 1/25- 1/31- 2/08- 2/151/30 2/07 2/14 2/22 Cow 1/111/17 1/181/24 2019 .637 .560 .584 .535 .534 2043 .642 .568 .559 .538 2052 .514 .481 .490 2063 .644 .580 2065 .701 2069 2/232/28 MeanfSE .552 .560 .566+.036 .516 .525 .581 .561+.043 .465 .466 .471 .517 .486+.022 .638 .645 .586 .605 .671 .624+.034 .659 .712 .677 .658 .682 .716 .686+.024 .549 .504 .565 .503 .507 .507 .598 .533+.038 2084 .615 .601 .562 .611 .581 .598 .654 .603+.029 2085 .714 .724 .715 .695 .664 .728 .737 .711+.025 2099 .624 .578 .597 .569 .569 .532 .525 .571+.035 2119 .630 .556 .580 .538 .585 .560 .655 .586+.042 2138 .612 .552 .579 .579 .591 .574 .691 .597+.045 2177 .741 .725 .731 .648 .679 .699 .774 .713+.042 2179 .626 .681 .679 .672 .638 .665 .801 .680+.057 2209 .683 .658 .693 .700 .681 .668 .763 .692+.034 2241 .542 .529 .497 .490 .439 .525 .583 .515+.045 2248 .651 .578 .604 .585 .587 .643 .658 .615+.034 Mean .633 .596 .612 .590 .596 .580 .655 SE .061 .073 .075 .076 .074 .077 .089 aLeast-squares means, P>.05. 80 Table 20. Cow Initial, final and change in cow body weight (kg) and condition score. Trial 2. Body Weic^it (kg) Initial Final Change Condition Scores Initial Final Change 2019 606.5 583.7 -22.8 4.5 3.8 -0.7 2043 561.5 562.5 +1.0 3.8 3.3 -0.5 2052 546.6 523.0 -23.6 4.3 3.5 -0.8 2063 554.3 556.1 +1.8 3.5 3.5 ±0.0 2065 528.4 538.9 +10.5 4.3 3.3 -1.0 2069 512.6 501.2 -11.4 4.0 3.5 -0.5 2084 543.4 555.2 / +11.8 4.0 3.5 -0.5 2085 562.5 542.0 -20.5 4.0 3.5 -0.5 2099 569.3 537.5 -31.8 4.0 3.3 -0.7 2119 537.1 543.9 +6.8 4.0 3.3 -0.7 2138 555.7 528.9 r-26.8 4.8 3.5 —1.3 2177 573.8 559.3 —14.5 4.0 3.8 —0.2 2179 512.6 512.1 -0.5 4.0 3.5 -Oi 5 2209 464.0 450.9 -13.1 ' 4.3 3.3 -1.0 2241 628.2 662.2 +34.0 4.3 4.0 -0.3 2248 550.2 541.1 -9.1 4.5 3.3 -1.2 550.4 37.83 543.7 43.71 —6.8 17.41 4.1 .31 3.5 .21 —0.6 .35 Mean SE t 81 Table 21. Distance travelled (km/d) for all cows each week Trial 2. Cow 1/61/12 2019 1.2 -' 3.4 3.5 2043 5.2 4.2 4.1 2052 - 2.6 2063 - 2065 3.7 1/12- 1/19'- 1/26-■ 2/21/19 1/26 2/2 2/8 2/82/16 2/162/20 2/202/26 1.7 3.1 4.6 3.4 4.9 2.7 3.4 4.1 7.6 1.8 1.8 - 1.9 1.6 1.8 3.8 2.5 3.2 - 2.2 2.9 2.3 5.6 4.0 - 4.3 5.3 4.0 5.6 2069 2.1 . 3.0 4.5 3.6 2.3 4.3 3.7 5.7 2084 3.1 3.6 3.4 3.8 3.3 5.9 3.1 3.1 2085 4.3 5.0 6.2 - 4.2 3.6 3.9 4.4 2099 4.0 3.7 4.3 3.7 4.2 4.1 4.5 5.5 2119 1.7 4.6 3.0 2.4 3.4 4.0 3.3 1.5 2138 5.2 3.8 4.7 4.1 - 5.5 5.1 8.0 2177 8.4 5.7 - ■ 3.7 1.9 3.6 3.5 4.4 2179 3.8 5.6 4.1 3.9 5.2 5.5 - 5.3 2209 6.0 6.1 4.1 3.7 1.5 5.8 4.5 6.1 2241 3.8 3.1 3.0 3.7 2.3. 1.5 2.1 2.3 2248 .3.4 3.0 3.1 3.2 2.5 2.9 2.4 4.3 4.0 1.8 4.2 1.1 3.7 1.0 3.5 .73 3.1 1.1 3.9 1.4 3.6 .96 4.5 1.9 Mean SE