The effects of component trait selection on genetic gain of lint yield in upland cotton breeding program investigated using simulation

Li, W., Zhang, T., Dieters, M. and Ye, G. (2009) The effects of component trait selection on genetic gain of lint yield in upland cotton breeding program investigated using simulation. SABRAO Journal of Breeding and Genetics, 41 2: 83-100.

Author Li, W.
Zhang, T.
Dieters, M.
Ye, G.
Title The effects of component trait selection on genetic gain of lint yield in upland cotton breeding program investigated using simulation
Journal name SABRAO Journal of Breeding and Genetics   Check publisher's open access policy
ISSN 1029-7073
Publication date 2009-12-01
Sub-type Article (original research)
Volume 41
Issue 2
Start page 83
End page 100
Total pages 18
Place of publication Bangkok, Thailand
Publisher Society for the Advancement of Breeding Researches in Asia and Oceania
Language eng
Formatted abstract
Component traits have been commonly used in selecting for improved performance of a composite trait. The selection efficiency depends on the inheritance (heritability, gene action model) of and genetic correlations among traits. In this study, computer simulation was conducted to investigate the use of component traits (boll number, boll weight, and lint percentage) for the improvement of lint yield in upland cotton. Trait heritability and genetic correlations were chosen based on the current literature. Three inheritance models (additive, digenic epistasis, and trigenic epistasis) were considered. In total, 36 gene-environment systems were generated (two heritabilities x three inheritance models x six genetic correlations) to cover a range of situations in practice. Forty-six selection methods, which are different in the number of traits selected, selection mode, and selection intensity allocation among traits, were compared. All simulated genetics and breeding factors significantly affected the genetic gain of lint yield. However, the relative ranks of selection methods were very stable across heritability levels and inheritance models. The number of traits selected and the allocation of selection intensity among traits had relatively little impact on genetic gain of lint yield. If the improvement of lint yield is the sole breeding objective, selecting for increased performance of any of the three component traits (lint percentage, boll number, or bull weight) or their combinations are effective. The genetic correlations among traits were the most important factors affecting the effectiveness of a selection method. No selection method performed best across all correlation combinations.
Keyword Breeding objective
Genetic correlation
Heritability
Selection criterion
Computer-simulation
Quality
Q-Index Code CX
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Agriculture and Food Sciences
 
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Created: Sun, 31 Jan 2010, 10:01:20 EST