Environmental variability in indirect selection for grain yield in common bean lines

Environmental variability in indirect selection for grain yield in common bean lines

ABSTRACT An approach to the number of experiments that should be used in correlation analyses aimed at increasing efficiency in indirect selection for grain yield is unprecedented for common bean (Phaseolus vulgaris L.). We hypothesize that trait correlation estimates vary in response to the growing environment. This study was undertaken to investigate the correlations between plant architecture and yield traits in common bean lines and to determine the minimum number of experiments required by Pearson’s linear correlation analysis to increase efficiency in indirect selection for grain yield. Seventeen common bean genotypes were evaluated for 17 agronomic traits in four experiments. Pearson’s linear correlation analyses were carried out using data from individual experiments and different combinations of growing seasons and years. Ten out of the 17 agronomic traits showed a significant genotype × environment interaction effect, meaning that common bean genotypes exhibited variation for most of the traits evaluated in different growing seasons and years, which resulted in changes in the correlation estimates between these traits. Pearson’s linear correlation estimates obtained between plant architecture and yield traits varied in significance, magnitude, and sign when data from individual experiments and combinations of growing seasons and years were considered. The number of grains per pod is the most promising agronomic trait used in indirect selection for grain yield in common bean lines. Data from at least three experiments should be used in Pearson’s linear correlation analysis to achieve greater efficiency in indirect selection for grain yield in common bean lines.

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Auteurs principaux: Ribeiro,Nerinéia Dalfollo, Maziero,Sandra Maria
Format: Digital revista
Langue:English
Publié: Escola Superior de Agricultura "Luiz de Queiroz" 2023
Accès en ligne:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162023000101102
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spelling oai:scielo:S0103-901620230001011022022-10-06Environmental variability in indirect selection for grain yield in common bean linesRibeiro,Nerinéia DalfolloMaziero,Sandra Maria Phaseolus vulgaris Pearson’s linear correlation genotype × environment interaction agronomic traits ABSTRACT An approach to the number of experiments that should be used in correlation analyses aimed at increasing efficiency in indirect selection for grain yield is unprecedented for common bean (Phaseolus vulgaris L.). We hypothesize that trait correlation estimates vary in response to the growing environment. This study was undertaken to investigate the correlations between plant architecture and yield traits in common bean lines and to determine the minimum number of experiments required by Pearson’s linear correlation analysis to increase efficiency in indirect selection for grain yield. Seventeen common bean genotypes were evaluated for 17 agronomic traits in four experiments. Pearson’s linear correlation analyses were carried out using data from individual experiments and different combinations of growing seasons and years. Ten out of the 17 agronomic traits showed a significant genotype × environment interaction effect, meaning that common bean genotypes exhibited variation for most of the traits evaluated in different growing seasons and years, which resulted in changes in the correlation estimates between these traits. Pearson’s linear correlation estimates obtained between plant architecture and yield traits varied in significance, magnitude, and sign when data from individual experiments and combinations of growing seasons and years were considered. The number of grains per pod is the most promising agronomic trait used in indirect selection for grain yield in common bean lines. Data from at least three experiments should be used in Pearson’s linear correlation analysis to achieve greater efficiency in indirect selection for grain yield in common bean lines.info:eu-repo/semantics/openAccessEscola Superior de Agricultura "Luiz de Queiroz"Scientia Agricola v.80 20232023-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162023000101102en10.1590/1678-992x-2022-0082
institution SCIELO
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country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Ribeiro,Nerinéia Dalfollo
Maziero,Sandra Maria
spellingShingle Ribeiro,Nerinéia Dalfollo
Maziero,Sandra Maria
Environmental variability in indirect selection for grain yield in common bean lines
author_facet Ribeiro,Nerinéia Dalfollo
Maziero,Sandra Maria
author_sort Ribeiro,Nerinéia Dalfollo
title Environmental variability in indirect selection for grain yield in common bean lines
title_short Environmental variability in indirect selection for grain yield in common bean lines
title_full Environmental variability in indirect selection for grain yield in common bean lines
title_fullStr Environmental variability in indirect selection for grain yield in common bean lines
title_full_unstemmed Environmental variability in indirect selection for grain yield in common bean lines
title_sort environmental variability in indirect selection for grain yield in common bean lines
description ABSTRACT An approach to the number of experiments that should be used in correlation analyses aimed at increasing efficiency in indirect selection for grain yield is unprecedented for common bean (Phaseolus vulgaris L.). We hypothesize that trait correlation estimates vary in response to the growing environment. This study was undertaken to investigate the correlations between plant architecture and yield traits in common bean lines and to determine the minimum number of experiments required by Pearson’s linear correlation analysis to increase efficiency in indirect selection for grain yield. Seventeen common bean genotypes were evaluated for 17 agronomic traits in four experiments. Pearson’s linear correlation analyses were carried out using data from individual experiments and different combinations of growing seasons and years. Ten out of the 17 agronomic traits showed a significant genotype × environment interaction effect, meaning that common bean genotypes exhibited variation for most of the traits evaluated in different growing seasons and years, which resulted in changes in the correlation estimates between these traits. Pearson’s linear correlation estimates obtained between plant architecture and yield traits varied in significance, magnitude, and sign when data from individual experiments and combinations of growing seasons and years were considered. The number of grains per pod is the most promising agronomic trait used in indirect selection for grain yield in common bean lines. Data from at least three experiments should be used in Pearson’s linear correlation analysis to achieve greater efficiency in indirect selection for grain yield in common bean lines.
publisher Escola Superior de Agricultura "Luiz de Queiroz"
publishDate 2023
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162023000101102
work_keys_str_mv AT ribeironerineiadalfollo environmentalvariabilityinindirectselectionforgrainyieldincommonbeanlines
AT mazierosandramaria environmentalvariabilityinindirectselectionforgrainyieldincommonbeanlines
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