Historic, archived document Do not assume content reflects current scientific knowledge, policies, or practices. §'ii 1� > NATIONAL A G R I c 0 L T u R A L LIBRARY SrAT:ON UDRt\RY COPY · USDA FOREST SERVICE RESEARCH NOTE PNW-1?5 ...... / / THE SEED ORCHARD TREE AS A POLLEN SAMPLER: A MODEL AND EXAMPLE -----1' by Frank C. Sorensen, I, ... ?' Prineipal Plant Gen -t cist ·, ,, ,,, · ABSTRACT A model is developed which uses the seed tree as a pollen sampler and attempts to parti­ tion the pollen it receives into self pollen, pollen from immediately surrounding neighbors, pollen from slightly more distant neighbors, and background pollen. An example, using data from several sources, is introduced to illus­ trate the use of the model. KEYWORDS: Pollen dissemination, seed orchards, Douglas-fir. ;EST SERVICE - U.S. DEPARTMENT OF AGRICULTURE - PORTLAND, QREGON ·· \ INTRODUCTION Discovery of two Douglas-fir trees with an albino single-gene marker at the same chromosomal locus has provided a means to sam­ ple distribution patterns of pollen in Northwest seed orchards. The method involves grafting scions of the trees into the orchards in pat­ terns permitting detection of their cross pollination at various dis­ tances and relating this to total seed yield of the sample tree. To utilize this possibility requires development of both the layout patterns of such grafts in an orchard and a mathemat­ ical model that would interpret re­ sults in terms of the most important questions from such sampling. A mathematical model developed for the simplest assumptions that appear to partition total pollen into these classes is presented in this paper. Source of pollen falling onto fe­ male strobili of trees may be arbi­ trarily divided into four categories: (1) that coming from the tree itself, (2) that coming from the immediate neighboring trees or trees within about 50 feet, (3) that from trees 50 to several hundred feet away, and (4) that from further away, or what will be called here "background pollen. " In the seed orchard, the last three categories may be thought of as "near-neighbor, " "other-orchard, " and "nonorchard" pollens. of frequency-distance curves pro­ ceeding away from the source of the object (Colwell 1951, Silen 1962, Strand 1957, Wang, Perry, and Johnson 1960, and Wright 1952 for conifer pollen; Bateman 1947a and 1947b, Hodgson 1949, and Meinders and Jones 1950 for agri­ cultural crop pollen; and Dahms 1963, Fowells and Schubert 1956, Roe 1967, Shearer 1960, and Yocom 1968 for coniferous seeds of various sizes). Almost always the curves associated with the deposition of wind-distributed objects have been curvilinear and show the great majority of the objects to be depos­ ited near the source. In the case of pollen, this has led to the calcu­ lation of mostly small- to moderate­ sized neighborhood s!/ (Wang, Perry, and Johnson 1960, Wright 1962) or to the conclusion that most pollina­ tion is by near neighbors (Colwell 1951, Ehrlich and Raven 1969, Langner 1953, and Strand 1957). On the other hand,. there have also been observations that much pollen goes up rather than down, that this pollen ("background pol­ len") may travel long distances before it is deposited, and that it .!/ Neighborhood refers trees. to a group of ' Small- to moderate-sized indicates a group of 10 to 300 trees, which at most orchard spacings would include trees in The movement of objects which are wind dispersed in nature has usually been reported in the form 2 categories (2) immediate neighboring trees, and (3) trees 50 to several hundred feet away. 672 may contribute considerably to local pollen loads (Koski 1970, Sarvas 1967, Silen 1962, and Squillace 1967). Silen (1962) rationalized the two vieWIJoints by showing his dis­ tribution curve partitioned into a curvilinear portion from the sampled tree plus a highly uniform count of pollen from distant sources. Part of this conflict in observa­ tion or interpretation may be due to different pollen sampling methods; part may be due to real differences in pollen dispersal under varied stand conditions. It is also thought that part of the difficulty may be a tendency to view pollen dispersal in terms of its distribution away from a source. Pollen sampling, by its very nature, emphasizes this view of the distribution pattern. In this note attention is focused on the pol­ len receptor (rather than on the pol­ len source) and on distribution to­ ward the receptor (rather than away from the source). A model has been developed which treats the seed tree as a pollen sampler and then attempts to apportion the pollen catch among the various sources of the pollen. An example based on the model is also presented, and some of the assumptions associated with the example are discussed. 5 way, it could also be applied to natural stands, but their irregular­ ity of spacing and age makes them harder to analyze than seed orchards. Assumptions associated with the model are given and discussed in table 2. Although the model is simple in concept, because of the array of symbols it is rather difficult to de­ cipher. Readers who are not inter­ ested in the fine points of pollen dispersion may wish to omit table 1 and go directly to the example (table 3). Table 3 is meant to be as repre­ sentative as possible of a Douglas­ fir orchard of seed-pro ducing age. Estimates of the relative amount of pollen contributed by the sample tree itself and the first nine ranks of trees surrounding it (table 3) were read from a plot of the data given in table 1 of Wang, Perry, and Johnson (1960) for slash pine. / V See footnote 1, table 1. / The pollen dispersal curve for slash pine was used because it was based on a tree of producing seed orchard size grow­ ing within its natural range. This is not meant to imply that Douglas-fir pollen and slash pine pollen would have the same dis­ persal properties. However, among the pollen dispersal curves given in the liter­ ature, this one seemed to be the most MODEL AND EXAMPLE The model, which relates direct­ ly to pollen-frequency curves of the type cited above, is described in table 1 where it is applied to a seed orchard situation. In a general suitable because of tree size and because the tree was growing within the species range. The available pollen curves for Douglas-fir were either from much larger trees (which had, however, pollen dispers­ al curves of the same form as the curve for slash pine) or from trees growing out­ side the natural range. 3 Table 1.--GeneraZ model for partitioning the poZZen received by any seed tree in a producing orchard (see table 2 for assumptions for model) Ran1J/ Distance1/ Pollen frequencyl/ Relative pollen frequency Fraction of pollen pass in / Amount of pollen received, self pollen included Calculated I Percent Self / 0 f s f /f s s 1 f s f s 1 T 1 d f l f /f l s 1 f f l l / f s p / fs p 2 d z f 2 f 3 d 3 f 3 f n d f n f /f n s Background Total n f 2 n-1 p l TT s s Amount of pollen received, self pollen excluded Calculated f l f(T-1) s f p 2 f (T-1) s f p 2 f T s f p 2 f s 2 f p 3- f s 2 f p 3 f T s f p 3 -f s n-1 f f b f s f n-1 _!!P__ f T s s T 2 n-1 f _!!P__ f s T b f 100 T-1 b Percent f l - f s f p 2 f s _!!P__ I s 2 f p 3 f (T-1) s f n-1 _!!P__ f (T-1) s b (T-1) 100 1./ Rank refers to the "rings" of trees which surround the sample tree. In a regularly spaced orchard there will be 8 trees in the first rank. The next surrounding ring will contain 16 trees and is designated here as rank 2. The remain­ ing ranks are analogous. !:_/ Distance is used in reading pollen frequency from frequency-distance curve but is not used in calculations. 3/ To . be read from frequency-distance curve. - 4 -/ Fraction of pollen which passes through the ranks of trees intervening between the pollen source and the seed tree. See assumption 4, table 2, for further explanation. 5 -/ Sample or seed tree itself. Table 2.--Asswnptions for model in table 1 1. Sample tree is in an evenly spaced orchard. 2. All trees in each rank.!/ of trees are assumed to be equidistant from the 3. 4. 5. 6. 7. 8. 9. sample tree. The distance used is the average distance between that rank and the sample tree. If only pollen release is considered and the effect of distance is neglected, the pollen which the sample tree receives from itself (self pollen) is assumed equal to the pollen received from all trees within any one rank. The reason for this can be seen if one assumes rings of trees surrounding a sample, or target, tree with all trees of equal size and crowns touching. Then, assume the pollen travels in straight horizontal lines. At any one time the pollen that is released from the ring and travels toward the tar­ get comes from the equivalent of a single tree, no matter how large the ring. At the same time, and no matter what the direction of the wind, the sample tree will be contributing pollen to itself. In other words, it par­ ticipates with all surrounding trees. A portion of the pollen coming from second and subsequent ranks of trees surrounding the sample tree is sequentially intercepted or filtered out by intervening ranks. When a row of trees is standing between the pollen tree and the sample tree, it is going to capture or cause the loss of some of the pollen which is moving from more distant trees to the sample tree. In the model it is assumed that the same proportion of the incoming pollen is intercepted or otherwise diverted by each intervening row of trees. The same proportion of trees in each rank produces pollen. Producing trees yield pollen in equal quantities. Time curves for pollen release are the same for all trees inside and out­ side the orchard. Female flower receptivity and pollen shed are synchronous. All pollen except self pollen is equally effective in producing seedlings. (The role of self pollen will be noted again in the discussion. ) .!/ See footnote 1, table 1. 5 Table 3.--Proportions of poZZen received by any seed orchard tree from surrounding orchard and nonorchard trees. O':> ExampZe is for a hypotheticaZ DougZas-fir orchard Rank!/ Self Distarice.Y ( feet ) 0 Pollen frequency}/ 327 Relative pollen frequency 1.0 1 30 151 .462 2 58 81 .248 3 87 so .153 4 ll 5 35 .107 5 144 26 .080 6 172 20 .061 7 200 16 .049 8 229 13 .040 9 257 11 .034 Background Total Fraction of pollen passin / Amount of pollen received, self pollen included Calculated I Percent Amount of pollen received, self pollen excluded Calculated I Percent 1 1.000 52.7 1 .462 24.4 0.462 51.7 .124 6.6 .124 13.9 .038 2.0 .038 4.3 .013 .7 .013 1.5 1/2 2 (1/ 2) 3 (1/2) 4 (1 /2) 5 (1/2) 6 (1/ 2) 7 (1/2) 8 (1/ 2) .005 .3 .005 .6 .001 .1 .001 .1 (<. 001) (<. l ) (<. 001) (< .1) (<. 001) (<. 001) ( <.1) ( <. 001) (<. l ) (<.1) (<. 001) �_/ .250 13.2 1.893 .250 (< .1) 27.9 .893 ]) See footnote 1, table 1. ]j Average distance between sample tree and surrounding ranks when orchard spacing is 25 feet. ]/ From a hand plot of data in table 1 in Wang, Perry, and Johnson (1960). !±_/ Fraction of pollen which passes through the ranks of trees intervening between the pollen source and the seed tree. In this example it is assumed that one-half of the incoming pollen is intercepted by each intervening row of trees. 'j_/ Background p ollen = 0.25 x self pollen frequency; 0.25 averaged from figures 6 and 7 of Silen (1962). Level of background pollen was estimated from figures 6 and 7 in Silen (1962). A seed orchard spacing of 25 feet was used in the example. Trees in the first two surrounding ranks were considered to be near­ neighbors. Table 3 estimates the relative contribution of various pollen sources when self pollen is included or excluded. In the case of Douglas­ fir, which usually has a low self fertility (Sorensen 1971), the self pollen will probably not sire more than 5 to 10 percent of the viable seeds. !/ Consequently, the best picture of seedling parentage should be obtained from the column where self pollen is omitted. In this hypothetical example, approxi­ mately 65 percent of the seeds were sired by pollen from the first two surrounding ranks of trees (near­ neighbors), about 5 percent by other trees in the orchard, and about 30 percent by the background pollen. DISCUSSION The main purpose of the model is to provide a basis for numerically relating the contribution of various pollen sources. Because the fre­ quency-distance curves are almost always characterized by high pollen frequency near the source and a rapid decrease in frequency with distance, the model offers the addi­ tional advantage of being moderately .1/ Frank C. Sorensen. in coastal Douglas-fir. Natural selfing In preparation. stable, even when the other assump­ tions are altered considerably. Per­ haps this can best be seen by making changes in some assumptions and examining the effect on the example. 1. Form of the frequency-dis­ tance curve can differ from that used without greatly changing the proportion of pollen received from the various sources provideo that, in all cases, there is a rapid de­ crease in pollen frequency with dis­ tance. For example, Wright's (1952) plot of the pollen dispersal curve for young Douglas-fir growing outside the natural range of the species was linear and showed no pollen capture beyond 150 feet. Using Wright's curve, Silen's (1962) estimate of background pollen, and the other assumptions in table 2, the pollen contribution (omitting self pollen) of the first two ranks was 75 percent, of the next seven ranks 10 percent, and of the other ranks (background) 15 percent. The example in table 3 which gave pollen contributions of 65 percent, 5 per­ cent, and 30 percent was based on a dispersal curve which was strong­ ly curvilinear and includeq pollen capture up to 250 feet. 2. Silen (1962) estimated back­ ground pollen for Douglas-fir in a large open area to be about 25 per­ cent of that received by the sampling station at the peak of the frequency­ distance curve. In the present ex­ ample, a background-pollen density of 25 percent of the self-pollen den­ sity was used. Omitting self pollen, this gave estimates of orchard and 7 nonorchard pollen of 70 percent and 30 percent, respectively. If a back­ ground-pollen density of 5 percent of self-pollen density is used and other assumptions left unchanged, the pro­ portions of orchard and nonorchard pollen would be about 95 percent and 5 percent, respectively. If a back­ ground-pollen density of 50 percent of self-pollen density is used, or­ chard and nonorchard proportions would be, respectively, about 60 percent and 40 percent. If incidence of background pollen and self pollen is assumed to be equal, the percent­ ages of orchard and nonorchard pol­ len which a seed orchard tree re­ ceived would be 40 and 60 percent, respectively. 3. In assumption 3, table 2, it was proposed that if the effect of distance is neglected, the sample tree receives as much pollen from itself as it does from all the trees in any one surrounding rank. However, it might also be assumed that the delivery system for self pollen is less efficient because some of the self pollen is blown directly out of the crown without opportunity to con­ tact female strobili, whereas pollen coming from a neighboring tree will have the opportunity to pass through the entire crown of the sample tree. If self-pollen frequency in table 3 is ' reduced by half and other pollen fre­ quencies are not changed, the contri­ bution of self pollen would be reduced from about 55 percent to 35 percent. If self pollen is omitted, the propor­ tions of near-neighbor, other-orchard, and nonorchard pollens would remain unchanged. 8 4. Intervening rows of trees between the sample tree and the trees from which it is receiving pollen are assumed to intercept or cause the settling-out of half of the incoming pollen (assumption 4, table 2). Changes in this fraction have their greatest effect on the proportions of near-neighbor and other-orchard pollen. Relative proportions of or­ chard and nonorchard pollen are affected to a lesser extent. F<;>r ex­ ample, if three-fourths of the in­ coming pollen were intercepted per intervening row, then the estimates would be 55 percent selfing or, with selfing excluded, about 70 percent near-neighbor, less than 1 percent other-orchard, and about 30 percent nonorchard. If only one-fourth of the incoming pollen were intercepted per intervening row, selfing would be estimated at 50 percent, near­ neighbor, other-orchard, and non­ orchard estimates (excluding selfing) would be about 60 , 25, and 15 percent, respectively. Other factors which may affect the accuracy of the example are indicated in assumptions 5 through 9 (table 2). They include flowering time (do flower receptivity and pollen release coin­ cide on the sample tree, betwe n the seed tree and other-orchard trees, and between orchard trees and trees in the surrounding stands?), relative proportions of orchard and nonorchard trees which are flowering, and possi­ ble deposition of massed pollen clouds (Lanner 1966). These influences may vary greatly from area to area and some of them from year to year, so it is probably not necessary to consider them in this general situation. However, any of these factors which can be estimated can be fitted into the model. Tree size and proportion of space occupied by tree crowns will also have to be considered if the model is used to coordinate and interpret re­ sults of pollen sampling. Both pol­ len production and pollen interception will be affected by crown size and density. For the present, it can only be assumed that the proportion of or­ chard pollen will increase rapidly after the orchard comes into produc­ tion. Selfing has . been considered at the two extremes in tables 1 and 3: first, with self pollen fully as effec­ tive as cross pollen in producing viable seeds, and second, with the sample tree being self-sterile. The actual situation will usually be be­ tween these extremes. In the example, the sample tree has been treated as receiving pollen equally from all sides. However, pollen movement may be predomi­ nantly in one direction (Dyson and Freeman 1968). In this case, the sample tree should receive pollen from a smaller number of the sur­ rounding trees, but the relative pro­ portions of self, near-neighbor, other-orchard, and nonorchard pol­ lens should remain about the same as when wind movement is variable. The example and discussion have centered on the model in relation to a seed orchard situation. This was due to the relevance of pollen dis­ persal to the management of seed orchards, in which pollen contamina­ tion is a serious question, and be­ cause the uniformity of a seed or­ chard plantation made the presenta­ tion of the model and example easier. In natural stands there will be more variability in factors such as dis­ tance between ranks of trees and number of trees per rank. But if reasonable averages can be obtained for each of these factors, it appears that the model could be employed satisfactorily to partition pollen sources for trees in a variety of natural situations. CONCLUSION The pollen which trees receive comes from many different sources and distances. The model presented here divides these sources into self pollen, pollen from immediate neigh­ bors, pollen from slightly more dis­ tant neighbors, and background pol­ len. Data were brought together from the literature in an attempt to get a picture of pollen source as related to seed orchard trees, and also to determine what additional information might be most useful in testing the model. Of course, the model was quite simplified. The real situation is expected to be much more complex. Nevertheless, in determining what would be the most valuable addition­ al information, two observations seemed to be of primary importance. First, except for large depositions 9 of background pollen, the tree itself and its immediate neighbors appear to contribute the _ majority of pollen which the tree receives. Second, the interception of pollen by inter­ vening ranks of trees appears to be a very influential factor in local pol­ len movement. Its importance is now largely unknown. With these two observations in mind, it appears that estimates of self-pollen contribution and pollen contribution from the neighboring two, or better three, ranks of trees would be most important for developing a picture of the pollen distribution in a seed orchard. LITERATURE CITED Bateman, A. J. 1947a. Contamination of seed crops. II. Wind pollina­ tion. Heredity 1: 235-246. 1947b. Contamination in seed crops. III. Relation with isolation distance. Heredity 1: 30 3-336. Colwell, R. N. 1951. The use of radioactive isotopes in determining spore distribution patterns. Am. J. Bot. 38: 511-523. Dahms, Walter G. 1963. Dispersal of lodgepole pine seed into clear-cut patches. USDA Forest Serv. Res. Note PNW-3, 7 p. , illus. Pac. Northwest Forest & Range Exp. Stn., Portland, Oreg. 10 Dyson, W. G. , and G. H. Freeman 1968. Seed orchard designs for sites with a constant pre­ vailing wind. Silvae Genet. 17: 12-15. Ehrlich, Paul R. , and Peter H. Raven 1969. Differentiation of popula­ tions. Science 165: 1228 ­ 1232. Fowells, H. A. , and G. H. Schubert 1956. Seed crops of forest trees in the pine region of Cal­ ifornia. U.S. Dep. Agric. Tech. Bull. 1150, 48 p., illus. Hodgson, H. J. 1949. Flowering habits and pollen dispersal in Pensacola Bahia grass, Paspalum nota tum Flugge. Agron. J. 41: 337-343, illus. Koski, Veikko 1970. A study of pollen dispersal as a mechanism of gene flow in conifers. Commun. Inst. For. Fenn. 70. 4, 78 p. , illus. Langner, W. 1953. Eine Mendelspaltung bei Aurea- Formen von Picea Abies (L) Karst. als Mittel zur Klarung der Befruchtungsverhaltnis se im Walde. Z. Forstgenetik Forstpflanzenzuecht. 2: 49-51. Lanner, Ronald M. 1966. Needed: a new approach to the study of pollen dis­ persion. Sil vae Genet. 15: 50-52. Meinders, Hadley C., and Melvin D. Jones 1950. Pollen shedding and dis­ persal in the castor plant, Riainus communis L. Agron. J. 42: 206-209, illus. Roe, Arthur L. 1967. Seed dispersal in a bumper spruce seed year. USDA Forest Serv. Res. Pap. INT-39, 10 p., illus. Intermountain Forest & Range Exp. Stn., Ogden, Utah. Sarvas, Risto 1967. Pollen dispersal within and between subpopulations; role of isolation and mi­ gration in microevolution of forest tree species. XIV Congr. Int. Union For. Res. Organ. Proc., Vol. 3, Sect. 22, p. 332­ 345. Shearer, R. C. 1960. Western larch seed dis­ persal over clear-cut blocks in Northwestern Montana. Mont. Acad. Sci. Proc. 19: 130-134. Silen, Roy R. 1962. Pollen dispersal consid­ erations for Douglas-fir. J. For. 60: 790-795, illus. Sorensen, Frank C. 1971. Estimate of self-fertility in coastal Douglas-fir from inbreeding studies. Silvae Genet. 20: 115-120, illus. Squillace, A. E. 1967. Effectiveness of 400-foot isolation around a slash pine seed orchard. J. For. 65: 823-824. Strand, Lars 1957. Pollen dispersal. Sil vae Genet. 6: 129-146. Wang, Chi-Wu, Thomas 0. Perry, and Albert G. Johnson 1960. Polfen dispersion of slash pine (Pinus eUiottii Engelm.) with special reference to seed orchard management. Sil vae Genet. 9: 78-86. Wright, Jonathan W. 1952. Pollen dispersion of some forest trees. USDA Forest Serv. Northeast. Forest Exp. Stn. Pap. 46, 42 p., illus. Upper Darby, Pa. 1962. Genetics of forest tree improvement. FAO For. & Forest Prod. Stud. No. 16, 399 p., illus. Food & Agr. Organ. United Nations, Rome. Yocom, Herbert A. 1968. Shortleaf pine seed dis­ persal. J. For. 66: 442. 11 The mission of the PACIFIC NORTHWEST FOREST AND RANGE EXP ERIMENT STATION is to provide the knowledge, technology, and alternatives for present and future protection, management, and use of forest, range, and related environments. Within this overall mission, the Station conducts and stimulates research to facilitate and to accelerate progress toward the following goals: 1. Providing safe and efficient technology for inventory, protection, and use of resources. 2. Development and evaluation of alternative methods and levels of resource management. 3. Achievement of o ptimum sustained resource produc· tivity consistent with maintaining a high quaHty forest environment. The area of research encompasses Oregon, Washington, Alaska, and, in some cases, California, Hawaii, the Western States, and the Nation. Results of the research will be made available promptly. Project headquarters are at: Fairbanks, Alaska Portland, Oregon Juneau, Alaska Olympia, Washington Bend, Oregon Seattle, Washington Corvallis, Oregon Wenatchee, Washington La Grande, Oregon