BASKIN, C. C. 1981. Accelerated aging test. In Handbook of vigour test methods (D. A. Perry, ed), p 43-48. Int Seed Test Assoc, Zurich. 72 p. BoNNER, F. T., and T. R. DELL. 1976. The Weibull function: a new method ofcomparing seed vigor. J Seed Techno11:96-103. BoNNER, F. T., and J. A. Voz:z.o. !983. Measuring southern pine seed quality with a conductivity meter-does it work? In Proceedings 1982 southern nursery conferences (J. P. Brissette and C. W. Lantz, comps), p 97-105. USDA Forest Serv Tech Pub! R8-TP4, 312 p. South Reg, Atlan­ ta, GA. CAMPBELL, R. K., and F. C. SoRENSON. 1979. A new basis for characterizing germination. J Seed Techno! 4:24-34. CzABATOR, F. J. 1962. Germination value: an index combining speed and completeness of pine seed germination. Forest Sci 8:386-396. GooDCHILD, N. A., and M.G. WALKER. 1971. A method of measuring seed germination in phys­ iological studies. Ann Bot 35:615-621. GRABE, D. F. 1964. Glutamic acid decarbosylase activity as a measurement of seedling vigor. Proc Assoc Off Seed Anal 54:100--109. JANSSEN, J. G. M. 1973. A method of recording germination curves. Ann Bot 37:705-708. MATTHEWS, S., and A. A. PowELL. 1981. Electrical conductivity test. In Handbook of vigour test methods (D. A. Perry, ed), p 37-42. lnt Seed Test Assoc, Zurich. 72 p. MooRE, R. P. 1971. Tetrazolium evaluation of tree and shrub seeds. 16th ISTA Congress. Preprint No 69, 7 p. MooRE, R. P. 1973. Tetrazolium staining for assessing seed quality. In Seed ecology (W. Heydecker, ed), p 347-366. Penn State Univ Press, London. 578 p. NALEWAJA, J. D., and L. H. SMITH. 1963. Standard procedure for the quantitative determination of individual sugars and total soluble carbohydrate materials in plant extracts. Agron J 55:523-525. NICHOLS, M.A., and W. HEYDECKER. 1968. Two approaches to the study of germination data. Proc Int Seed Test Assoc 33:531-540. PERRY, D. A. 1981. Topographical tetrazolium test. In Handbook of vigour test methods (D. A. Perry, ed), p 57-60. Int Seed Test Assoc, Zurich. 72 p. WASSER, R. G. 1978. Tree improvement research. In Proceedings 1978 southern forest nursery conference (C. W. Lantz, comp), p 15-18. USDA Forest Serv, State and Private For, Atlanta, GA. 170 p. WooDSTOCK, L. W., and D. F. GRABE. 1967. Relationship between seed respiration during imbibition and subsequent seedling growth in Zea mays L. Plant Physio142:1071-1076. Forest Sci., Vol. 32, No. 1, 1986, pp. 178-184 Copyright 1986, by the Society of American Foresters Estimates of Genetic Parameters for Deer Browsing of Douglas-fir Roy R. Silen, William K. Randall, and Nancy L. Mandel ABsTRACT. This report evaluates genetic variation in wintertime deer browsing among full-sib families ofDouglas-fir. Cuttings of 10-year-old progeny of a mating ofsix trees as females crossed with II trees as males provided estimates of heritability, combining ability, and genetic gain in browsing resistance. Open-pollinated progeny and cuttings from parent trees were also included in the study. An average of 46 percent of the cuttings were browsed after 38 days exposure. Browsing among seedling families ranged from 39 to 69 percent. Sixty-five percent of the total genetic variation was additive. Reciprocal, maternal, and specific combining ability components were nonsignificant. Family heritability was estimated at 0. 73. Gain per generation, based on The authors are, respectively, Project Leader, USDA Forest Service, Pacific Northwest Forest and Range Experiment Station, Forestry Sciences Laboratory, Corvallis, Oregon; Geneticist, USDA Forest Service, Pacific Northwest Region, Siuslaw National Forest, Corvallis, Oregon; and Statistical Math­ ematician, USDA Forest Service, Pacific Northwest Forest and Range Experiment Station, Forestry Sciences Laboratory, Corvallis, Oregon. Manuscript received 23 July 1984. 178 I FOREST SCIENCE selecting 10 percent of the most resistant families, was estimated at II percent. 178-184. ADDITIONAL KEY WORDS. FoREST Sa. 32: Pseudotsuga menziesii, selection, animal damage, resistance. IN CONTRAST with the low carrying capacity for black-tailed deer (Odocoileus hemionus columbianus) in shaded virgin timber stands, high numbers of deer now inhabit the brushy Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) clearcuts ofwestern Oregon and Wash­ mgton. In this region terminal shoots on an estimated 20 percent of seedlings are browsed annually during their first S years (Black and others 1979), resulting in about a 20-percent loss ofvolume growth after 16 years (Batdorffand Fauss 1981). Most feeding occurs early m the spring period of new growth, although heavy browsing sometimes occurs in winter. Browsing levels are highly variable and seedling mortality is rare. Where browsing is light or moderate, control is probably not needed. Where repeated browsing encourages brush species to overtop seedlings, however, poorly stocked stands may result. Such areas are predictable by biologists. Artificial barriers, special hunting permits, provision of more preferable food, and use ofseedlings resistant to browsing provide possible control methods. No method is totally satisfactory, but use of resistant seedlings may be the least costly if there is no adverse genetic correlation with growth and survival. This report evaluates variation in browsing by black-tailed deer among full-sib families of Douglas-fir. Estimates are provided ofheritability, general and specific combining ability, maternal and reciprocal effects, and genetic gain for resistance to browsing. In addition, we explored the phenotypic correlation of resistance to deer browsing versus tree growth. LITERATURE REVIEW This study follows directly from earlier research on browsing of Douglas-fir by deer and hare. Longhurst and others ( 1968) present evidence for resistance of trees and grasses to browsing by deer and show that bottle-fed deer have virtually the same feed preferences as do wild deer. Dimock and others ( 197 6) tested seed orchard clones and cross-pollinated Douglas-fir families in deer and hare enclosures. They confirm that tests with snowshoe hare in pens and in the field correlate well and also found that the same order of preference among Douglas-fir genotypes occurs with captive deer. The difference among genotypes was highly heritable and primarily additive, although the studies provide no estimates of heritabilities. Among seedlings of varying height, however, deer were found to prefer taller plants (Dimock 1971); hence, test plants have to be presented at equal heights. Foliage of mature plants, or their clones, was much more rapidly consumed than was foliage from their progeny (Dimock 1974). The order of preference among progeny, however, was still predictable based on parental characteristics. Using similar plant material, Radwan and Crouch (1978) show no relationship between preference and essential oils ofleaves, but levels of chlorogenic acid do appear to be related to preference by the deer. Silen and Dimock ( 197 8) demonstrate such a high rate of consistency in the preference by penned deer for Douglas-fir clones that once feeding rates are indexed for several clones, actual browsing patterns can be predicted with considerable accuracy. Such results had practical application in 1981 with 225 Douglas-fir clones from the Beaver Creek Seed Orchard near Corvallis, Oregon. Cuttings were given to a captive herd of young orphaned deer that were maintained by the Oregon Department of Fish and Wildlife. A selected group of 20 clones with relatively low preference for winter browsing now provides a special seed mix from the orchard for clearcuts where browsing was a serious problem. The prospect that this practical genetic application might become wide­ spread provided incentive to quantify genetic parameters needed for a breeding effort. Thus, a followup study using the same herd and testing methods was planned for the 1982 spring browsing period. METHODS Unusual genetic material was available for this study in the form of 10-year-old Douglas­ fir progeny from a mating of eleven Willamette Valley parents near Corvallis. One of us VOLUME 32, NUMBER 1, 1986 / 179 TABLE 1. Diagram of mating. X denotes families used in this study. Female parents Male parents I (•) 2 3 4 5 6 X 7 8 9 10 II X X X X X X X X 2 3 4 5 6 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X • Selfed families were not included. (Silen) successfully crossed all possible parent-tree combinations on six of the parents in 1971. This resulted in a 6 x 11 crossing matrix consisting of a 6 x 6 diallel plus a 6 x 5 factorial with progeny in every cell. One cell had too few seedlings to include in this test and selfed families were also excluded because oftheir low vigor. Thus, a complete analysis of genetic components was possible, and the convenience of the penned deer made an experiment using about 5,000 cuttings practical. Parameters ofinterest were the standard general and specific combining ability, maternal and reciprocal effects, and heritability estimates of preference that such a mating permits In addition, we looked at the phenotypic correlation between resistance to deer browsing and tree growth. A diagram of the 6 x 11 mating (Table 1) illustrates the test design and analysis. In addition to cuttings from 59 outcrossed families, cuttings from six open-pollinated families of the female parents and from nine of the parents themselves were also included in the test. Cuttings from the outcrosses, from open-pollinated families, and from parents were tested together but were considered as three experiments and analyzed separately. Lateral branch tips of the outcrossed families were collected at the 2-m level from the 5-m-tall trees in mid-January 1982, stored in a refrigerator in plastic bags, and exposed to deer the following day. The test area was a 6.3-ha fenced field. Six deer were allowed to freely browse the cuttings and natural food in the field. A maintenance diet of alfalfa hay and commercial calf feed was also provided. Experimental design was a randomized complete block with eight replications. Eight cuttings were represented in the study from each of 10 members of the 65 families (59 outcrosses plus six open-pollinated families), plus 24 cuttings from each of 9 mature, 18­ to 33-mm-tall parent trees. One 30-cm-long cutting of a family member per plot was stuck with 20 em exposed above ground so that each replication had 677 cuttings at 1- by 1-meter spacing. Distribution of the 5,416 cuttings in the 8-replication experiment was as follows: 59 6 10 1 8 9 3 8 5,416 full-sib families open-pollinated families members per family cutting per member per replication replications plus parent trees cuttings per parent per replication replications total cuttings Mean value of outcross and wind-pollinated family of the 6 x 11 mating was based on 180 / FOREST SCIENCE TABLE 2. Percent ofremaining cuttings at 38 days among families in the 6 x 11 mating, and parental cuttings at day 38. Female parent Parent 2 3 4 5 6 58 64 69 57 Male Original parent parent mean mean Male parent 1 2 3 4 5 6 7 8 9 10 11 Female parent mean Open-pollinated mean X 57 55 X 54 60 X 46 50 57 53 41 52 54 56 58 54 55 62 55 63 60 53 45 48 53 44 39 59 53 48 57 51 61 67 49 52 48 46 46 44 45 X 48 48 63 58 56 60 49 59 60 54 54 50 53 59 60 60 53 56 58 51 54 57 51 52 55 55 55 52 44 56 57 55 42 47 40 58 49 55 54 54 48 X X 4 17 17 14 12 17 8 4 4 11 80 observations (8 replications of 1 cutting times 10 family members); thus, each female parent was tested by 800 observations and each male parent by either 400 or 480 obser­ vations. Each mature parent tree was evaluated by a mean of24 observations. We recorded the day when a cutting was first browsed beginning on the morning of day 2 and continued at approximately 3-day intervals for a total of 38 days. Unlike the 1981 tests with less material and a larger deer herd that quickly browsed every cutting, at day 38 deer browsing had virtually stopped and many cuttings had become unpalatable. This unexpected outcome limited us to an analysis on percent of family that was unbrowsed and not to the time of browsing of each cutting. Heritability calculations were thus limited to family means and not to an individual cutting basis. For the analysis of variance we used the plot mean based on 10 family members within a plot. Using zero for browsed and 1 for unbrowsed the plot mean is proportion unbrowsed. For example, ifthere were six browsed and four unbrowsed, the plot mean was 0.4. For ease ofunderstanding we refer to these plot means as percentages hereafter. A separate analysis of variance was made for each type of material: full-sib crosses, open­ pollinated families, and parent-generation trees. Full-sib crosses were analyzed genetically using Griffing's (1956) random Model II Method 3 for a full diallel with one set of F 1's with reciprocals. The North Carolina State University diallel analyses computer program ofSchaffer and Usanis (1969) was used for the 6 x 11 matrix. Significant differences among the female means were detected by ANOVA. Differences among specific females were detected by least significant difference analysis. We assumed that parent trees represented a random sample of Douglas-fir in western Oregon. Ten-year family mean heights, available for the same families of the 6 x 11 matings in 1971, were analyzed for possible correlation with average percent unbrowsed cuttings at 38 days. REsULTS Browsing was slow compared with earlier studies. In this test, an average of only 46 percent of cuttings were browsed. This level was found to be nearly optimum in previous testing (Dimock and others 1976). Because there were so few deer for the number of cuttings in the test, the test was not as sensitive as were earlier studies. There was large random variation in percent of unbrowsed cuttings among full-sib families within each male and female parent. Family means ranged from 39 to 69 percent unbrowsed, a difference sig­ nificant at the 5-percent level. Among parents, only females 4 and 5 showed significant VOLUME 32, NUMBER 1, 1986/ 181 differences with 47 to 58 percent unbrowsed cuttings, respectively (Table 2). Even so, the susceptibility of parent 4 as either a female or male parent is striking. In each of the ten matings involving female parent number 4, progenies were more susceptible to browsing than the average family of each male parent (Table 2) and parent 4 as a female was the most susceptible of the six comparable families in 9 of the 11 cases. Even as the male, parent 4 was more susceptible than average in four of the five crosses. Means of open-pollinated and full-sib values in Table 2 were similar (48 versus 54 percent unbrowsed, respectively). The test was not sensitive enough to reveal significant differences among parent trees or among open-pollinated families. As in past studies, parent tree cuttings were much more heavily browsed than were cuttings from 10-year-progeny (11 versus 54 percent unbrowsed, respectively). Despite the large variability in the experiment, the analysis of genetic components gave quite clear results. General combining ability, which is a measure of parent effect when crossed with many genotypes, was highly significant (Table 3). Genetic effects of reciprocal, maternal, and specific combining ability were not significant. Sixty-five percent of total genetic variance is estimated to be additive using the formula: 2 Percent additive variance= 100 Uga uga 2 + (Jd 2 where ga = additive variance component, and d = nonadditive variance component. Our calculation of heritability (h 2 ) is applied to selection of half-sib families using the variance components of our analysis and specifically for repeated seed collection from the selected parents. To illustrate an intended commercial application, we used half-sib selec­ tion with two replications and ten seedlings per family per replication for each of 260 families (260 x 20 = 5,200) as was tested in 1981. On that basis, h2 = 0.73. where additive genetic variance plot variance within plot variance r = number of replications n = number of observations per family per rep. ug/ u/ uw2 If selection is for the top 10 percent of the families (26 families from 260), gain in percent unbrowsed seedlings over the mean of unselected families is calculated to be 12 percent. G = Sh 2 where G amount of gain, and S = selection differential. DISCUSSION Despite the slow rate of browsing with only six deer exposed to over 5,000 cuttlngs and the high variability that resulted, the main goal was achieved. Rates of gain in browsing resistance per generation can now be estimated. About 65 percent of the total genetic variation was shown to be additive, with specific, maternal, and reciprocal effects not significant. From results ofprevious studies, we expected most families would be completely browsed, in which case variability would be considerably less. Differences in preference for the array ofparents in this study were within the expected range. Error was too large, however, to show statistically significant differences among more than two of eleven parents. The consistency of browsing by deer for particular genotypes, 182 / FOREST SCIENCE TABLE 3. Mean squares, estimated variance components, and their standard deviations for Douglas-fir browsing resistance to black-tailed deer. Source of variation Replication General Specific Maternal Reciprocal Plot error Error within plot Degrees of freedom Mean square 7 10 34 5 9 406 4,120 3.142156• .081839• .023931 .033434 .016010 .021034 .021238 Estimated component Standard deviation 0.05290 .00070 .00037 .00019 0.02511 .00046 .00059 .00021 .00044 .00147 (") .00005 .02054 • Denotes significant differences at the 0.05level. Plot error mean square was used as the denominator to test reciprocal, maternal, and specific effects; the specific mean square is the denominator to test for general combining ability. • Negative values are considered zero. though striking for families of parent number 4, was not as good generally as in past tests. Order of preference was similar between full-sib and open-pollinated families, even though this order was not displayed with parent tree material. For these reasons our conclusions are probably conservative. No correlation was found with 10-year family growth and percent unbrowsed plants. This suggests no adverse growth effect might result from use of a browse-resistant seed mix; however, the test is not definitive. This consideration is so important that stronger tests must be conducted in the future. The preference by deer for taller seedlings (Dimock 1971) cautions that a possible selective advantage may exist for slower growing families, another example ofthe general inverse relationship between growth and various expressions of hardiness. The low sensitivity of our test also cautions against early inferences about growth versus browsing. Past research (Dimock 1974, Radwan 1975, and Tucker and others 1976) shows that cuttings from older parent trees are more heavily browsed than are those from younger material. In confirmation, our parent cuttings were also browsed nearly twice as much as were cuttings from their progeny (89 versus 46 percent, respectively). Parent material was browsed to near the ground line, but most progeny cuttings lost only 2 to 5 em of height. This phenomenon is also regularly observed where green limbs from old trees have fallen to the ground and their new foliage has been completely browsed while nearby seedlings are only slightly browsed. The consistency between observations and studies suggests that Douglas-fir may have developed resistance to browsing for the seedling stage only. If such early resistance is maintained with chemical compounds, which might require considerable expenditure of energy or photosynthate, then mature trees with less resistance would have a selective advantage. Tucker and others (1976) and Radwan (1975) suggest that browsing preference may be related to increases in chlorogenic acid. The U.S. Fish and Wildlife Service Laboratory in Denver evaluated chlorogenic acid content for 10 of the most preferred and 10 least preferred clones from the previous year's test of 225 clones. The correlation (r = 0.106) was much too weak to permit effective selection for palatability. Chemical evaluation for browsing preference may become important after the technique is refined. For the present, analysis of chlorogenic acid does not appear to be as effective nor as economical for determining the rate of genotypic browsing as is possible with penned deer. The recent reports ofhare showing similar preference tendencies related to levels ofpinosylvin methyl ether in buds and stems provides a new direction for research (Bryant 1981, Bryant and others 1983). Deer browse dormant seedlings during the winter and again during the early growing season in May and June. Browsing in winter is severe in certain areas, but damage early in the growing season is probably more widespread and serious (Campbell and Evans 197 8). A determination ofwhether browsing preference, for specific genotypes, is constant between the major browsing periods is necessary. VOLUME 32, NUMBER 1, 1986/ 183 In perspective, the study clearly accomplished the main objective of estimating the heritability and proportion ofadditive genetic variation for winter deer browsing resistance. This was missing from earlier studies. The rate of potential improvement from a practical breeding program can now be estimated at about 11 percent per generation under our test conditions. Many past observations about the trait were also supported but not as well in some cases as had been documented in earlier studies. LITERATURE CITED BATDORFF, J., AND D. FAuss. 1981. A different look at the cooperative animal damage study. USDI Bur Land Manage, TIN: OR-2, 26 p. BIAcK, H. C., E. J. DIMOCK II, J. EvANS, and J. A. RocHELLE. 1979. Animal damage to coniferous plantations in Oregon and Washington. Part I. A survey 1963-1975. Oreg St Univ, School For, Resour Bull 25, 45 p. BRYANT, J.P. 1981. 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Palatability of Douglas-fir foliage to mule deer in relation to chemical and spatial factors. J Range Manage 29(6):486-489. 184 / FOREST SCIENCE