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Targeting Cultivars onto Rice Growing Environments Using AMMI and SREG GGE Biplot Analyses

^a Texas A&M Univ. System Agric. Research and Extension Center, 1509 Aggie Drive, Beaumont, TX 77713
^b USDA-ARS, 1509 Aggie Drive, Beaumont, TX 77713

View larger version (19K): [in a new window]   Fig. 1. Grain yield of six rice cultivars grown at four locations for 3 yr. The highest yielding cultivar in each environment is indicated. Abbreviations: Bay–Bay City, Bea–Beaumont, Eag–Eagle Lake, Gan–Ganado, 00–2000, 01–2001, 02–2002.

View larger version (18K): [in a new window]   Fig. 2. AMMI biplot showing the main and IPCA 1 effects of both genotypes and environments on grain yield. IPCA 1 scores are in units equal to the square root of grain yield. An estimate of the GE interaction effect for a specific genotype–environment combination is the product of their corresponding IPCA 1 scores. Abbreviations: AMMI–Additive main effects and multiplicative interaction; IPCA–Interaction principal components analysis axis; HtIn–Heat index.

View larger version (23K): [in a new window]   Fig. 3. Nominal grain yields of six rice cultivars, based on the AMMI model equation without environmental deviation, across environment IPCA 1 scores. Cocodrie was highest yielder at IPCA 1 <0.049, while Wells was highest yielder at IPCA 1 >0.049. Abbreviations: AMMI–Additive main effects and multiplicative interaction; IPCA–Interaction principal components analysis axis.

View larger version (26K): [in a new window]   Fig. 4. Genotype plus genotype x environment (GGE) biplot obtained from sites regression (SREG) analysis showing the performance of different genotypes at Beaumont in 2002. Abbreviations: Bay–Bay City, Bea–Beaumont, Eag–Eagle Lake, Gan–Ganado, 00–2000, 01–2001, 02–2002.

View larger version (26K): [in a new window]   Fig. 5. Genotype plus genotype x environment (GGE) biplot obtained from sites regression (SREG) analysis showing the performance of Cocodrie at different environments. Abbreviations: Bay–Bay City, Bea–Beaumont, Eag–Eagle Lake, Gan–Ganado, 00–2000, 01–2001, 02–2002.

View larger version (23K): [in a new window]   Fig. 6. Genotype plus genotype x environment (GGE) biplot obtained from sites regression (SREG) analysis that groups the environments into those where Cocodrie outyields Wells (above the broken line) and where Wells outyields Cocodrie (below the broken line). Abbreviations: Bay–Bay City, Bea–Beaumont, Eag–Eagle Lake, Gan–Ganado, 00–2000, 01–2001, 02–2002.

View larger version (27K): [in a new window]   Fig. 7. Genotype plus genotype x environment (GGE) biplot obtained from sites regression (SREG) analysis showing the megaenvironments and their respective highest yielding cultivars. Abbreviations: Bay–Bay City, Bea–Beaumont, Eag–Eagle Lake, Gan–Ganado, 00–2000, 01–2001, 02–2002.

View larger version (28K): [in a new window]   Fig. 8. Genotype plus genotype x environment (GGE) biplot obtained from sites regression (SREG) analysis showing the yielding ability (higher yielding cultivars have their solid lines located toward the positive end of the mean environment axis) and stability (more stable lines have their broken lines nearer to the mean-environment axis) of six rice genotypes. The percentage of GGE variation accounted for by each PC axis is also shown. Abbreviations: Bay–Bay City, Bea–Beaumont, Eag–Eagle Lake, Gan–Ganado, 00–2000, 01–2001, 02–2002.