Genetic divergence and selection of bean cultivars of different grain types based on physical traits
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista ciência agronômica (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100456 |
Resumo: | ABSTRACT Genetic divergence analysis and combined selection for various physical grain traits are unprecedented for common bean cultivars. The objectives of this study were to examine the genetic variability of common bean cultivars for 12 physical grain traits; study the correlations between these traits; analyze the genetic divergence; and select superior common bean cultivars. Two experiments were carried out in 2019 in which 22 common bean cultivars of different grain types were evaluated. Significant effects of genotype, grain type and genotype × environment interaction were obtained for all physical grain traits, indicating the existence of genetic variability. High correlations were observed between grain length and width (r = 0.844), normal grains and uptake (r = 0.796) and uptake and cooking time (r = -0.651). The L* (grain lightness) and a* (variation between green and red hue) values had a greater contribution to the differentiation between common bean cultivars. Four and three groups of cultivars were formed by the analyses of canonical variables and unweighted pair group method with arithmetic mean, respectively. Both cluster analyses are efficient in separating the cultivars into homogeneous groups based on the L* and a* values, although the canonical variables analysis provides more detailed information. The cranberry bean cultivars BRS Executivo, BRS MG Realce and Hooter and the black bean cultivars IPR Tiziu, BRS Esteio and Guapo Brilhante have superior physical grain traits and will thus be selected by the breeding program. |
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Genetic divergence and selection of bean cultivars of different grain types based on physical traitsPhaseolus vulgaris LGenetic variabilityCorrelation analysisCluster analysisSelection indexABSTRACT Genetic divergence analysis and combined selection for various physical grain traits are unprecedented for common bean cultivars. The objectives of this study were to examine the genetic variability of common bean cultivars for 12 physical grain traits; study the correlations between these traits; analyze the genetic divergence; and select superior common bean cultivars. Two experiments were carried out in 2019 in which 22 common bean cultivars of different grain types were evaluated. Significant effects of genotype, grain type and genotype × environment interaction were obtained for all physical grain traits, indicating the existence of genetic variability. High correlations were observed between grain length and width (r = 0.844), normal grains and uptake (r = 0.796) and uptake and cooking time (r = -0.651). The L* (grain lightness) and a* (variation between green and red hue) values had a greater contribution to the differentiation between common bean cultivars. Four and three groups of cultivars were formed by the analyses of canonical variables and unweighted pair group method with arithmetic mean, respectively. Both cluster analyses are efficient in separating the cultivars into homogeneous groups based on the L* and a* values, although the canonical variables analysis provides more detailed information. The cranberry bean cultivars BRS Executivo, BRS MG Realce and Hooter and the black bean cultivars IPR Tiziu, BRS Esteio and Guapo Brilhante have superior physical grain traits and will thus be selected by the breeding program.Universidade Federal do Ceará2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100456Revista Ciência Agronômica v.53 2022reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20220057info:eu-repo/semantics/openAccessKläsener,Greice RosanaRibeiro,Nerinéia DalfolloArgenta,Henrique da Silvaeng2022-10-13T00:00:00Zoai:scielo:S1806-66902022000100456Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2022-10-13T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
Genetic divergence and selection of bean cultivars of different grain types based on physical traits |
title |
Genetic divergence and selection of bean cultivars of different grain types based on physical traits |
spellingShingle |
Genetic divergence and selection of bean cultivars of different grain types based on physical traits Kläsener,Greice Rosana Phaseolus vulgaris L Genetic variability Correlation analysis Cluster analysis Selection index |
title_short |
Genetic divergence and selection of bean cultivars of different grain types based on physical traits |
title_full |
Genetic divergence and selection of bean cultivars of different grain types based on physical traits |
title_fullStr |
Genetic divergence and selection of bean cultivars of different grain types based on physical traits |
title_full_unstemmed |
Genetic divergence and selection of bean cultivars of different grain types based on physical traits |
title_sort |
Genetic divergence and selection of bean cultivars of different grain types based on physical traits |
author |
Kläsener,Greice Rosana |
author_facet |
Kläsener,Greice Rosana Ribeiro,Nerinéia Dalfollo Argenta,Henrique da Silva |
author_role |
author |
author2 |
Ribeiro,Nerinéia Dalfollo Argenta,Henrique da Silva |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Kläsener,Greice Rosana Ribeiro,Nerinéia Dalfollo Argenta,Henrique da Silva |
dc.subject.por.fl_str_mv |
Phaseolus vulgaris L Genetic variability Correlation analysis Cluster analysis Selection index |
topic |
Phaseolus vulgaris L Genetic variability Correlation analysis Cluster analysis Selection index |
description |
ABSTRACT Genetic divergence analysis and combined selection for various physical grain traits are unprecedented for common bean cultivars. The objectives of this study were to examine the genetic variability of common bean cultivars for 12 physical grain traits; study the correlations between these traits; analyze the genetic divergence; and select superior common bean cultivars. Two experiments were carried out in 2019 in which 22 common bean cultivars of different grain types were evaluated. Significant effects of genotype, grain type and genotype × environment interaction were obtained for all physical grain traits, indicating the existence of genetic variability. High correlations were observed between grain length and width (r = 0.844), normal grains and uptake (r = 0.796) and uptake and cooking time (r = -0.651). The L* (grain lightness) and a* (variation between green and red hue) values had a greater contribution to the differentiation between common bean cultivars. Four and three groups of cultivars were formed by the analyses of canonical variables and unweighted pair group method with arithmetic mean, respectively. Both cluster analyses are efficient in separating the cultivars into homogeneous groups based on the L* and a* values, although the canonical variables analysis provides more detailed information. The cranberry bean cultivars BRS Executivo, BRS MG Realce and Hooter and the black bean cultivars IPR Tiziu, BRS Esteio and Guapo Brilhante have superior physical grain traits and will thus be selected by the breeding program. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100456 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100456 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5935/1806-6690.20220057 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal do Ceará |
publisher.none.fl_str_mv |
Universidade Federal do Ceará |
dc.source.none.fl_str_mv |
Revista Ciência Agronômica v.53 2022 reponame:Revista ciência agronômica (Online) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
institution |
UFC |
reponame_str |
Revista ciência agronômica (Online) |
collection |
Revista ciência agronômica (Online) |
repository.name.fl_str_mv |
Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC) |
repository.mail.fl_str_mv |
||alekdutra@ufc.br|| ccarev@ufc.br |
_version_ |
1750297490567987200 |