Index selection for weed suppressive ability in soybean

Crop Science

Volumn 40, Issue 4, 2000, Pages 1087-1094

  Jannink, J L ^a   Orf, J H ^b   Jordan, N R ^b   Shaw, R G ^b  

^a IOWA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMASS; BRASSICA HIRTA; CROSSING; GENETIC CORRELATION; GENETIC GAIN; GENETIC SELECTION; HERITABILITY; INBRED LINE; PLANT HEIGHT; UNITED STATES; WEED CONTROL; WEEDS;

GLYCINE MAX;

EID: 0033837506     PISSN: 0011183X     EISSN: None     Source Type: Journal    
DOI: 10.2135/cropsci2000.4041087x     Document Type: Article

References (48)

1. Allen, F.L., and H.L. Bhardwaj. 1987. Genetic relationships and selected pedigree diagrams of North American soybean cultivars. Tenn. Agric. Exp. Stn. Bull. 652.
2. Baker, R.J. 1986. Selection indices in plant breeding. CRC Press, Inc. Boca Raton, FL.
3. Bernard, R.L. 1972. Two genes affecting stem termination in soybeans. Crop Sci. 12:235-239.
4. Bussan, A.J., O.C. Burnside, J.H. Orf, E.A. Ristau, and K.J. Puettmann. 1997. Field evaluation of soybean (Glycine max) genotypes for weed competitiveness. Weed Sci. 45:31-37.
5. Callaway, M.B. 1992. A compendium of crop varietal tolerance to weeds. Am. J. Alternative Agric. 7:169-180.
6. Callaway, M.B., and F. Forcella. 1993. Crop tolerance to weeds. p. 100-131. In C.A. Francis and M.B. Callaway (ed.) Crop improvement for sustainable agriculture. Univ. Nebraska Press, Lincoln.
7. Christensen, S. 1994. Crop weed competition and herbicide performance in cereal species and varieties. Weed Res. 34:29-36.
8. Falconer, D.S. 1989. Introduction to quantitative genetics. 3rd ed. Longman Scientific and Technical, Essex, England.
9. Fehr, W.R., C.E. Caviness, D.T. Burmood, and J.S. Pennington. 1971. Stage of development descriptions for soybeans, Glycine max (L.) Merrill. Crop Sci. 2:929-931.
10. Forcella, F. 1987. Tolerance of weed competition associated with high leaf area expansion rate in tall fescue. Crop Sci. 27:146-147.
11. Garrity, D.P., M. Movillon, and K. Moody. 1992. Differential weed suppression ability in upland rice cultivars. Agron. J. 84:586-591.
12. Gizlice, Z., T.E. Carter Jr., and J.W. Burton. 1993. Genetic diversity in North American soybean: I. Multivariate analysis of founding stock and relation to coefficient of parentage. Crop Sci. 33:614-620.
13. Harper, J.E. 1987. Nitrogen metabolism, p. 497-533. In J.R. Wilcox (ed.) Soybean: Improvement, production, and uses. ASA, CSSA, and SSSA, Madison, WI.
14. Hayes, J.F., and W.G. Hill. 1981. Modification of estimates of parameters in the construction of genetic selection indices ('Bending'). Biometrics 37:483-493.
15. Hill, W.G., and R. Thompson. 1978. Probabilities of non-positive definite between-group or genetic covariance matrices. Biometrics 34:429-439.
16. Hinson, K., and W.D. Hanson. 1962. Competition studies on soybeans. Crop Sci. 2:117-123.
17. Hunst, M., and G. Howse. 1997. Minnesota agricultural statistics. Minn. Agric. Stat. Service. St. Paul, MN.
18. Hunt, R., and J.H.C. Cornelissen. 1997. Components of relative growth rate and their interrelations in 59 plant species. New Phytol. 135:395-417.
19. Jennings, P., and R.C. Aquino. 1968. Studies on competition in rice. III. The mechanism of competition among phenotypes. Evolution 22:529-542.
20. Jordan, N. 1993. Prospects for weed control through interference. Ecol. Appl. 3:84-91.
21. Jordan, N.R., and J.-L. Jannink. 1997. Assessing the practical importance of weed evolution: A research agenda. Weed Res. 37:237-246.
22. Kropff, M.J., and H.H. van Laar. 1993. Modelling crop-weed interactions. CAB International, Wallingford, UK.
23. Li, B., J.-I. Suzuki, and T. Hara. 1998. Latitudinal variation in plant size and relative growth rate in Arabidopsis thaliana. Oecologia 115:293-301.
24. Liebman, M. 1989. Effects of nitrogen fertilizer, irrigation, and crop genotype on canopy relations and yields of an intercrop/weed mixture. Field Crops Res. 22:83-100.
25. Liebman, M., and E. Dyck. 1993. Weed management: A need to develop ecological approaches. Ecol. Appl. 3:39-41.
26. Liebman, M., and E. Gallandt. 1997. Many little hammers: ecological approaches for management of crop-weed interactions, p. 291-343. In L.E. Jackson (ed.) Ecology in Agriculture. Academic Press, San Diego.
27. Lin, C.Y. 1978. Index selection for genetic improvement of quantitative characters. Theor. Appl. Genet. 52:49-56.
28. Lynch, M., and B. Walsh. 1997. Genetics and analysis of quantitative traits. Sinauer Assoc., Sunderland, MA.
29. Marrow, P., R.A. Johnstone, and L.D. Hurst. 1996. Riding the evolutionary streetcar: where population genetics and game theory meet. Trends Ecol. Evol. 11:445-446.
30. McWhorter, C.G., and E.E. Hartwig. 1972. Competition of johnson-grass and cocklebur with six soybean varieties. Weed Sci. 20:56-59.
31. Monks, D.W., and L.R. Oliver. 1988. Interactions between soybean (Glycine max) cultivars and selected weeds. Weed Sci. 36:770-774.
32. Poorter, H. 1990. Interspecific variation in relative growth rate: on ecological causes and physiological consequences. p. 45-68. In H. Lambers et al. (ed.) Causes and consequences of variation in growth and productivity of higher plants. SPB Academic Publishers, The Hague.
33. Reich, P.B., M.B. Walters, and D.S. Ellsworth. 1997. From tropics to tundra: Global convergence in plant functioning. Proc. Natl Acad. Sci. (USA) 94:13730-13734.
34. Saindon, G., H.D. Voldeng, and W.D. Beversdorf. 1990. Adjusting the phenology of determinate soybean segregants grown at high latitude. Crop Sci. 30:516-521.
35. Sales, J., and W.G. Hill. 1976. Effect of sampling errors on efficiency of selection indices. 2. Use of information on associated traits for improvement of a single important trait. Anim. Prod. 23:1-14.
36. Searle, S.R., G. Casella, and C.E. McCulloch. 1993. Variance components. John Wiley and Sons, New York.
37. Shaw, F.H., and C.J. Geyer. 1997. Estimation and testing in constrained covariance component models. Biometrika 84:95-102.
38. Shaw, R.G. 1987. Maximum-likelihood approaches applied to quantitative genetics of natural populations. Evolution 41:812-826.
39. Shaw, R.G. 1991. The comparison of quantitative genetic parameters between populations. Evolution 45:143-151.
40. Shaw, R.G., and F.H. Shaw. 1998. Quercus: programs for quantitative genetic analysis using maximum likelihood. Available by anonymous ftp from ftp://evolution.umn.edu/pub/quercus/quercus/ (verified March 6, 2000).
41. Steel, R.G.D., and J.H. Torrie. 1980. Principles and procedures of statistics. A biometrical approach. 2nd ed. McGraw-Hill, New York.
42. Tallis, G.W. 1962. A selection index for optimum genotype. Biometrics 18:120-122.
43. USDA/NASS 1998. Agricultural chemical usage. USDA, National Agricultural Statistics Service. U.S. Gov. Print. Office, Washington, DC.
44. USDA/NRCS 1998. Selected pesticide properties database and SPISP ratings. USDA, Natural Resources Conservation Service. U.S. Gov. Print. Office. Washington, DC.
45. van der Werf, A., M.V. Nuenen, A.J. Visser, and H. Lambers. 1993. Contribution of physiological and morphological plant traits to a species' competitive ability at high and low nitrogen supply. Oecologia 94:434-440.
46. Villar, R., E.J. Veneklaas, P. Jordano, and H. Lambers. 1998. Relative growth rate and biomass accumulation in 20 Aegilops species. New Phytol. 140:425-437.
47. Walsh, B., and M. Lynch. 1999. Selection and evolution of quantitative traits. http://nitro.biosci.arizona.edu/zbook/volume_2/vol2.html (verified March 6, 2000).
48. Wortmann, C.S. 1993. Contribution of bean morphological characteristics to weed suppression. Agron. J. 85:840-843.