Study of genotype x environment interaction for forage yield in oat (Avena sativa L.) with joint linear regression analysis and AMMI analysis

Improvement of forage yield in oat (Avena sativa L.) depends on thorough understanding of the influences of genotype, environment and the genotype x environment interaction (G X E). The objetive of this study was to analyze G X E interaction in oat for biomass forage yield according two different mo...

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Autores principales: Acciaresi, Horacio Abel, Chidichimo, Hugo Oscar, Fusé, Cecilia Beatriz
Formato: Articulo
Lenguaje:Inglés
Publicado: 1997
Materias:
Ciencias Agrarias
Avena sativa
GXE interaction
Forage Yield
AMMI and JRA analyses
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/145287
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-145287
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Agrarias
Avena sativa
GXE interaction
Forage Yield
AMMI and JRA analyses
spellingShingle Ciencias Agrarias
Avena sativa
GXE interaction
Forage Yield
AMMI and JRA analyses
Acciaresi, Horacio Abel
Chidichimo, Hugo Oscar
Fusé, Cecilia Beatriz
Study of genotype x environment interaction for forage yield in oat (Avena sativa L.) with joint linear regression analysis and AMMI analysis
topic_facet Ciencias Agrarias
Avena sativa
GXE interaction
Forage Yield
AMMI and JRA analyses
description Improvement of forage yield in oat (Avena sativa L.) depends on thorough understanding of the influences of genotype, environment and the genotype x environment interaction (G X E). The objetive of this study was to analyze G X E interaction in oat for biomass forage yield according two different models, joint linear regression analysis (JRA) and AMMI analysis. Twelve genotypes were grown in different environments during three years (1993-94-95) at the locations of La Dulce and La Plata, Buenos Aires Province, Argentina. The forage yield (dry matter yield Kg/ha) was determined at 60, 100 days after emergence and at ripening. Heterogeneity of regression in JRA was nonsignificant. Interaction sume of square accounted for by heterogeneity of regression were 12.08 % (three years mean). In contrast, the first principal component axis in AMMI was highly significant (P<.001). This first axis accounted for by 68.46 % of interaction SS (three years mean). The AMMI model was found tobe more effective than JRA analysis in accounting for GXE interaction under low environmental diversity The use of AMMI is recommended for the study of GXE effects in the oat breeding for forage yield.
format Articulo
Articulo
author Acciaresi, Horacio Abel
Chidichimo, Hugo Oscar
Fusé, Cecilia Beatriz
author_facet Acciaresi, Horacio Abel
Chidichimo, Hugo Oscar
Fusé, Cecilia Beatriz
author_sort Acciaresi, Horacio Abel
title Study of genotype x environment interaction for forage yield in oat (Avena sativa L.) with joint linear regression analysis and AMMI analysis
title_short Study of genotype x environment interaction for forage yield in oat (Avena sativa L.) with joint linear regression analysis and AMMI analysis
title_full Study of genotype x environment interaction for forage yield in oat (Avena sativa L.) with joint linear regression analysis and AMMI analysis
title_fullStr Study of genotype x environment interaction for forage yield in oat (Avena sativa L.) with joint linear regression analysis and AMMI analysis
title_full_unstemmed Study of genotype x environment interaction for forage yield in oat (Avena sativa L.) with joint linear regression analysis and AMMI analysis
title_sort study of genotype x environment interaction for forage yield in oat (avena sativa l.) with joint linear regression analysis and ammi analysis
publishDate 1997
url http://sedici.unlp.edu.ar/handle/10915/145287
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