Stability analysis of forage production in Bromus catharticus (prairie grass) using three methodologies

Thirteen genotypes of Bromus catharticus (prairie grass) were evaluated for forage production over three years using completely randomized trials with six replicates. The genotype x environment interaction was statistically significant and indicates that the behavior of genotypes differs over time....

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Autores principales: Abbott,Liliana, Filippini,Susana, Delfino,Hugo, Pistorale,Susana
Lenguaje:English
Publicado: Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal 2012
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202012000200009
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spelling oai:scielo:S0718-162020120002000092012-10-24Stability analysis of forage production in Bromus catharticus (prairie grass) using three methodologiesAbbott,LilianaFilippini,SusanaDelfino,HugoPistorale,Susana Bromus forage production genotype-environment interaction phenotypic stability prairie grass Thirteen genotypes of Bromus catharticus (prairie grass) were evaluated for forage production over three years using completely randomized trials with six replicates. The genotype x environment interaction was statistically significant and indicates that the behavior of genotypes differs over time. Once this interaction was detected, we used three methodologies to assess the stability of genotypes: Wricke's ecovalence, the Lin and Binns index, and the Eberhart and Russell model. The methods of Lin and Binns and Eberhart and Russell indicate that genotypes 11, 9, 3 and 4 are stable. They also rule out possible selection of genotypes 2, 10, 1 and 12 for lack of stability or poor adaptation. The correlation among these indices was statistically significant (r=0.61). When using Wricke's ecovalence, there is agreement among the indices for the selection of genotypes 9 and 4, which show good stability. There is no agreement with the other two methods for ruling out unstable genotypes. Considering the three methodologies used, the Lin and Binns index is easiest to apply and interpret because higher productivity always correlates with greater stability, and there are no restrictions on the use of regression. However, it is necessary to accumulate more data prior to the widespread use of these methods.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.39 n.2 20122012-08-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202012000200009en10.4067/S0718-16202012000200009
institution Scielo Chile
collection Scielo Chile
language English
topic Bromus
forage production
genotype-environment interaction
phenotypic stability
prairie grass
spellingShingle Bromus
forage production
genotype-environment interaction
phenotypic stability
prairie grass
Abbott,Liliana
Filippini,Susana
Delfino,Hugo
Pistorale,Susana
Stability analysis of forage production in Bromus catharticus (prairie grass) using three methodologies
description Thirteen genotypes of Bromus catharticus (prairie grass) were evaluated for forage production over three years using completely randomized trials with six replicates. The genotype x environment interaction was statistically significant and indicates that the behavior of genotypes differs over time. Once this interaction was detected, we used three methodologies to assess the stability of genotypes: Wricke's ecovalence, the Lin and Binns index, and the Eberhart and Russell model. The methods of Lin and Binns and Eberhart and Russell indicate that genotypes 11, 9, 3 and 4 are stable. They also rule out possible selection of genotypes 2, 10, 1 and 12 for lack of stability or poor adaptation. The correlation among these indices was statistically significant (r=0.61). When using Wricke's ecovalence, there is agreement among the indices for the selection of genotypes 9 and 4, which show good stability. There is no agreement with the other two methods for ruling out unstable genotypes. Considering the three methodologies used, the Lin and Binns index is easiest to apply and interpret because higher productivity always correlates with greater stability, and there are no restrictions on the use of regression. However, it is necessary to accumulate more data prior to the widespread use of these methods.
author Abbott,Liliana
Filippini,Susana
Delfino,Hugo
Pistorale,Susana
author_facet Abbott,Liliana
Filippini,Susana
Delfino,Hugo
Pistorale,Susana
author_sort Abbott,Liliana
title Stability analysis of forage production in Bromus catharticus (prairie grass) using three methodologies
title_short Stability analysis of forage production in Bromus catharticus (prairie grass) using three methodologies
title_full Stability analysis of forage production in Bromus catharticus (prairie grass) using three methodologies
title_fullStr Stability analysis of forage production in Bromus catharticus (prairie grass) using three methodologies
title_full_unstemmed Stability analysis of forage production in Bromus catharticus (prairie grass) using three methodologies
title_sort stability analysis of forage production in bromus catharticus (prairie grass) using three methodologies
publisher Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
publishDate 2012
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202012000200009
work_keys_str_mv AT abbottliliana stabilityanalysisofforageproductioninbromuscatharticusprairiegrassusingthreemethodologies
AT filippinisusana stabilityanalysisofforageproductioninbromuscatharticusprairiegrassusingthreemethodologies
AT delfinohugo stabilityanalysisofforageproductioninbromuscatharticusprairiegrassusingthreemethodologies
AT pistoralesusana stabilityanalysisofforageproductioninbromuscatharticusprairiegrassusingthreemethodologies
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