AMMI analysis of grain yield in rice genotypes across environments

The identification of the highest yielding cultivar for a specific environment on the basis of both genotype (G) and genotype x environment (GE) interaction would be useful to breeders and producers since yield estimates based only on G and environment (E) effects are insufficient. The objective of...

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Main Authors: M. Umadevi and, S. Manonmani
Format: Article
Language:English
Published: Indian Society of Plant Breeders 2018-03-01
Series:Electronic Journal of Plant Breeding
Subjects:
Online Access:http://ejplantbreeding.org/index.php/EJPB/article/view/2502
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author M. Umadevi and
S. Manonmani
author_facet M. Umadevi and
S. Manonmani
author_sort M. Umadevi and
collection DOAJ
description The identification of the highest yielding cultivar for a specific environment on the basis of both genotype (G) and genotype x environment (GE) interaction would be useful to breeders and producers since yield estimates based only on G and environment (E) effects are insufficient. The objective of this study was to demonstrate the usefulness of additive main effects and multiplicative interactions (AMMI) model analysis. Replicated grain yield data of rice (Oryza sativa L.) genotypes at three locations in Coimbatore (E1), Bhavanisagar (E2) and Aliyar Nagar (E3) were obtained and used for this purpose. Through AMMI model analysis, the magnitude and significance of the effects of GE interaction and its interaction principal components relative to the effects of G and E were estimated. Among the three, E3 environment was far away from the origin. The environments E2 and E3 condition were exhibiting high interaction effect, whereas the environment E1 had moderate interaction effect with the other two environments. The parent TP 1021 R and the hybrids viz., IR 80559 A X RR 286 R, APMS 6 A X IR 62037 R, IR 75601 A X IR 72865 R, IR 75601 A X RR 347 R, IR 75596 A X MDU 5 R, IR 75596 A X ASD 06-8 R, CRMS 32 A X IR 62037 R, CRMS 32 A X TP 1021 R and IR 75608 A X ASD 06-8 R showed IPCA 1 score close to zero with high main effects indicating that these varieties were less influenced by environments. Hence, the above said hybrids were stable and had general adaptability for all the environments. Since, the environments E3 had positive IPCA 1 score and high mean, it had positive interaction with these genotypes and this environment was considered as the stable environment for these hybrids.
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spelling doaj.art-1b89010fd2424a4e97badc7f9aa210d32022-12-22T00:59:51ZengIndian Society of Plant BreedersElectronic Journal of Plant Breeding0975-928X2018-03-019113514510.5958/0975-928X.2018.00016.9AMMI analysis of grain yield in rice genotypes across environmentsM. Umadevi andS. ManonmaniThe identification of the highest yielding cultivar for a specific environment on the basis of both genotype (G) and genotype x environment (GE) interaction would be useful to breeders and producers since yield estimates based only on G and environment (E) effects are insufficient. The objective of this study was to demonstrate the usefulness of additive main effects and multiplicative interactions (AMMI) model analysis. Replicated grain yield data of rice (Oryza sativa L.) genotypes at three locations in Coimbatore (E1), Bhavanisagar (E2) and Aliyar Nagar (E3) were obtained and used for this purpose. Through AMMI model analysis, the magnitude and significance of the effects of GE interaction and its interaction principal components relative to the effects of G and E were estimated. Among the three, E3 environment was far away from the origin. The environments E2 and E3 condition were exhibiting high interaction effect, whereas the environment E1 had moderate interaction effect with the other two environments. The parent TP 1021 R and the hybrids viz., IR 80559 A X RR 286 R, APMS 6 A X IR 62037 R, IR 75601 A X IR 72865 R, IR 75601 A X RR 347 R, IR 75596 A X MDU 5 R, IR 75596 A X ASD 06-8 R, CRMS 32 A X IR 62037 R, CRMS 32 A X TP 1021 R and IR 75608 A X ASD 06-8 R showed IPCA 1 score close to zero with high main effects indicating that these varieties were less influenced by environments. Hence, the above said hybrids were stable and had general adaptability for all the environments. Since, the environments E3 had positive IPCA 1 score and high mean, it had positive interaction with these genotypes and this environment was considered as the stable environment for these hybrids.http://ejplantbreeding.org/index.php/EJPB/article/view/2502riceammibiplot analysisg x e interaction
spellingShingle M. Umadevi and
S. Manonmani
AMMI analysis of grain yield in rice genotypes across environments
Electronic Journal of Plant Breeding
rice
ammi
biplot analysis
g x e interaction
title AMMI analysis of grain yield in rice genotypes across environments
title_full AMMI analysis of grain yield in rice genotypes across environments
title_fullStr AMMI analysis of grain yield in rice genotypes across environments
title_full_unstemmed AMMI analysis of grain yield in rice genotypes across environments
title_short AMMI analysis of grain yield in rice genotypes across environments
title_sort ammi analysis of grain yield in rice genotypes across environments
topic rice
ammi
biplot analysis
g x e interaction
url http://ejplantbreeding.org/index.php/EJPB/article/view/2502
work_keys_str_mv AT mumadeviand ammianalysisofgrainyieldinricegenotypesacrossenvironments
AT smanonmani ammianalysisofgrainyieldinricegenotypesacrossenvironments