Phenotypic selection compared to restricted combined index selection for many generations

Silva Fennica

Volumn 32, Issue 2, 1998, Pages 111-120

  Andersson, Erik W ^a   Spanos, Kostas A ^b   Mullin, Timothy J ^c   Lindgren, Dag ^a  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^b FOREST RESEARCH INSTITUTE   (Greece)

^c Genesis Forest Science Canada Inc   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; INDEX SELECTION; PHENOTYPIC SELECTION;

EID: 0031663373     PISSN: 00375330     EISSN: None     Source Type: Journal    
DOI: 10.14214/sf.689     Document Type: Article

References (15)

1. Andersson, E.W., Spanos, K.A., Mullin, T.J. & Lindgren, D. 1998. Phenotypic selection is often better than combined index selection when compared at the same effective number. Scandinavian Journal of Forest Research 13: 7-11.
2. Cockerham, C.C. 1967. Group inbreeding and coancestry. Genetics 56: 89-104
3. Cotterill, P.P. 1986. Genetic gains from alternative breeding strategies including simple low cost options. Silvae Genetica 35: 212-223.
4. Falconer, D.S. 1989. Introduction to quantitative genetics. 3rd edition. Longman, Scientific and Technical.
5. King, J.N. & Johnson, G.R. 1993. Monte Carlo simulation models of breeding-population advancement. Silvae Genetica 42(2-3): 68-78.
6. Ledig, F.T. 1992. Human impacts on genetic diversity in forest ecosystems. Oikos 63: 87-108.
7. Levin, B.R. 1969. Simulations of genetic systems. In: Norton, N.E. (ed.). Computer applications in genetics. Proceedings of the International Conference on Computer Applications in Genetics. Univ. Hawaii Press Honolulu, HW. p. 38-46.
8. Lindgren, D. & Wei, R.-P. 1994. Gain versus effective number. In: Lee, S.J. (ed.). Progeny testing and breeding strategies. Proceedings of the Nordic Group for Tree Breeding, Edinburgh, 6-10 October 1993. Forestry Authority, Edinburgh, p. 164-177.
9. _ , Jefferson, P. & Gea. L. 1996. Loss of genetic diversity monitored by status number. Silvae Genetica 45 (1): 52-59.
10. Mullin, T.J. & Park, Y.S. 1995a. Stochastic simulation of forest tree breeding populations: A users guide to Popsim v2.0. Canadian Forest Service - Maritimes, Fredericton, NB, Information, Rep. M-X-195E. 34 p.
11. _ & Park, Y.S. 1995b. Stochastic simulation of population management strategies for tree breeding: a new decision support tool for personal computers. Silvae Genetica 44(2-3): 132-141.
12. Namkoong, G. 1983. A control concept of gene conservation. Silvae Genetica 33(4-5): 160-163.
13. Wei, R.-P. 1995. Predicting genetic diversity and optimizing selection in breeding programmes. Ph.D. Thesis. Swedish University of Agricultural Sciences, Department of Forest Genetics and Plant Physiology, Umeå.
14. _ & Lindgren, D. 1991. Selection effects on diversity and gain. Silva Fennica 25(4): 229-234.
15. _ & Lindgren, D. 1993. Phenotypic selection was more efficient than combined index selection when applied on full sibs of lodgepole and Scots pine. Dept. of Forest Genetics and Plant Physiology, SUAS Report 11: 289-292.