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| Titel: |
Determining Selection Gains and Discriminating Environments via GGE Biplots |
| Auteur: |
Blanche, Sterling Brooks Myers, Gerald O. Caldwell, William D. Wallace, Ted |
| Verschenen in: |
Journal of crop improvement |
| Paginering: | Jaargang 21 (2008) nr. 1 pagina's 13-25 |
| Jaar: |
2008-01-08 |
| Inhoud: |
Genetic variation is the basis for meaningful selection; thus, the use of locations that discriminate or result in greater variation among genotypes, for a trait or trait package should promote accurate selection of superior genotypes. The objectives of this study were to quantify the gains by selection in discriminating locations using superior parents for single or multiple-trait populations. GGEbiplot software was used to identify two levels (high and low) of discriminating locations for each of three distinct populations of cotton (Gossypium hirsutum L.). Populations were obtained by crossing parents recommended by a least squares means analysis for each population criteria, which included parents/populations selected for: (a) lint yield; (b) fiber micronaire, length, strength, uniformity, and elongation; and (c) lint yield, lint percent, fiber micronaire, length, and strength. F2 plants in 2003 and F2:3 plants in 2004 were planted in the high and low discriminating locations for each selection criteria. Heritability estimates (h2) were calculated by regressing the F2:3 plants on their F2 parents. Genotypic variance was greater among F2:3 progeny in discriminating environments compared with non-discriminating environments, regardless of population criteria. Heritability was greater in the population containing fiber traits compared with yield. The results of this study suggest that using discriminating locations during the selection phase of a breeding program can increase genotypic variance and enhance selection accuracy. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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