Assessment of genetic divergence in runner peanut genotypes grown in the Brazilian Northeast environments.

Detalhes bibliográficos
Autor(a) principal: SILVA, R A. da
Data de Publicação: 2016
Outros Autores: RAMOS, J. P. C., LUZ, L. N. da, CAVALCANTI, J. J. V., LIMA, L. M. de, FREIRE, R. M. M., SILVA, C. R. C. da, SANTOS, R. C. dos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1064942
Resumo: Runner cultivars are widely demanded by peanut farmers because of their high oil and grain productions. As those are late cycles, the management is limited in environments with water restriction.For improvement of runner genotypes to these environments is necessary to identify genotypes adapted and the knowledge of genetic divergence is quite relevant to assist the breeding procedures. In this work, ten morphological and agronomic traits were measured on 13 runner peanut genotypes grown in sandy loam textured soils during the rainy season in three environments on Brazilian Northeast region. These measurements included harvest index (%), main stem height (cm), 100 seed weight, 100 pod weight, pod length (mm), number of pod/plant, blooming (days after emergence, dae), number of seed/plant, physiological maturation of pods (dae) and oil content in seeds (%). The genetic divergence of genotypes was estimated by multivariate methods. data set was analyzed by canonical variable (CV) in combination with UPGMA-clustering analyses. The statistical analysis was performed using the GENES program. We found that the first two CV were significant and accounted for 82.13% of the total variation. Three groups were clearly formed, separated by earliness and pod production. This arrangement was further attested by the dendrogram generated by UPGMA. The CV indicated that physiological maturation of pods, main stem height, number of pods/plant and 100 seed weight were the most differentiating traits among the genotypes. These two last allowed high magnitude associations and were contributive to selection procedures in improvement works. We provide indications of the best genotypes with potential to generate robust progenies, in a peanut breeding program.
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spelling Assessment of genetic divergence in runner peanut genotypes grown in the Brazilian Northeast environments.Arachis hypogea LCanonical variablesTraits associationsAmendoimGenotipoBreedingRunner cultivars are widely demanded by peanut farmers because of their high oil and grain productions. As those are late cycles, the management is limited in environments with water restriction.For improvement of runner genotypes to these environments is necessary to identify genotypes adapted and the knowledge of genetic divergence is quite relevant to assist the breeding procedures. In this work, ten morphological and agronomic traits were measured on 13 runner peanut genotypes grown in sandy loam textured soils during the rainy season in three environments on Brazilian Northeast region. These measurements included harvest index (%), main stem height (cm), 100 seed weight, 100 pod weight, pod length (mm), number of pod/plant, blooming (days after emergence, dae), number of seed/plant, physiological maturation of pods (dae) and oil content in seeds (%). The genetic divergence of genotypes was estimated by multivariate methods. data set was analyzed by canonical variable (CV) in combination with UPGMA-clustering analyses. The statistical analysis was performed using the GENES program. We found that the first two CV were significant and accounted for 82.13% of the total variation. Three groups were clearly formed, separated by earliness and pod production. This arrangement was further attested by the dendrogram generated by UPGMA. The CV indicated that physiological maturation of pods, main stem height, number of pods/plant and 100 seed weight were the most differentiating traits among the genotypes. These two last allowed high magnitude associations and were contributive to selection procedures in improvement works. We provide indications of the best genotypes with potential to generate robust progenies, in a peanut breeding program.RICARDO ALVES DA SILVA, UFPB; JEAN PIERRE CORDEIRO RAMOS, UFPB; LUCAS NUNES DA LUZ, Universidade Federal do Cariri; JOSE JAIME VASCONCELOS CAVALCANTI, CNPA; LIZIANE MARIA DE LIMA, CNPA; ROSA MARIA MENDES FREIRE, CNPA; CARLIANE REBECA COELHO DA SILVA, RENORBIO; ROSEANE CAVALCANTI DOS SANTOS, CNPA.SILVA, R A. daRAMOS, J. P. C.LUZ, L. N. daCAVALCANTI, J. J. V.LIMA, L. M. deFREIRE, R. M. M.SILVA, C. R. C. daSANTOS, R. C. dos2017-02-21T11:11:11Z2017-02-21T11:11:11Z2017-02-2120162017-02-21T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAfrican Journal of Agricultural Research, v. 11, n. 16, p. 1456-1462, Apr. 2016.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1064942enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T04:12:38Zoai:www.alice.cnptia.embrapa.br:doc/1064942Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T04:12:38falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T04:12:38Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Assessment of genetic divergence in runner peanut genotypes grown in the Brazilian Northeast environments.
title Assessment of genetic divergence in runner peanut genotypes grown in the Brazilian Northeast environments.
spellingShingle Assessment of genetic divergence in runner peanut genotypes grown in the Brazilian Northeast environments.
SILVA, R A. da
Arachis hypogea L
Canonical variables
Traits associations
Amendoim
Genotipo
Breeding
title_short Assessment of genetic divergence in runner peanut genotypes grown in the Brazilian Northeast environments.
title_full Assessment of genetic divergence in runner peanut genotypes grown in the Brazilian Northeast environments.
title_fullStr Assessment of genetic divergence in runner peanut genotypes grown in the Brazilian Northeast environments.
title_full_unstemmed Assessment of genetic divergence in runner peanut genotypes grown in the Brazilian Northeast environments.
title_sort Assessment of genetic divergence in runner peanut genotypes grown in the Brazilian Northeast environments.
author SILVA, R A. da
author_facet SILVA, R A. da
RAMOS, J. P. C.
LUZ, L. N. da
CAVALCANTI, J. J. V.
LIMA, L. M. de
FREIRE, R. M. M.
SILVA, C. R. C. da
SANTOS, R. C. dos
author_role author
author2 RAMOS, J. P. C.
LUZ, L. N. da
CAVALCANTI, J. J. V.
LIMA, L. M. de
FREIRE, R. M. M.
SILVA, C. R. C. da
SANTOS, R. C. dos
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv RICARDO ALVES DA SILVA, UFPB; JEAN PIERRE CORDEIRO RAMOS, UFPB; LUCAS NUNES DA LUZ, Universidade Federal do Cariri; JOSE JAIME VASCONCELOS CAVALCANTI, CNPA; LIZIANE MARIA DE LIMA, CNPA; ROSA MARIA MENDES FREIRE, CNPA; CARLIANE REBECA COELHO DA SILVA, RENORBIO; ROSEANE CAVALCANTI DOS SANTOS, CNPA.
dc.contributor.author.fl_str_mv SILVA, R A. da
RAMOS, J. P. C.
LUZ, L. N. da
CAVALCANTI, J. J. V.
LIMA, L. M. de
FREIRE, R. M. M.
SILVA, C. R. C. da
SANTOS, R. C. dos
dc.subject.por.fl_str_mv Arachis hypogea L
Canonical variables
Traits associations
Amendoim
Genotipo
Breeding
topic Arachis hypogea L
Canonical variables
Traits associations
Amendoim
Genotipo
Breeding
description Runner cultivars are widely demanded by peanut farmers because of their high oil and grain productions. As those are late cycles, the management is limited in environments with water restriction.For improvement of runner genotypes to these environments is necessary to identify genotypes adapted and the knowledge of genetic divergence is quite relevant to assist the breeding procedures. In this work, ten morphological and agronomic traits were measured on 13 runner peanut genotypes grown in sandy loam textured soils during the rainy season in three environments on Brazilian Northeast region. These measurements included harvest index (%), main stem height (cm), 100 seed weight, 100 pod weight, pod length (mm), number of pod/plant, blooming (days after emergence, dae), number of seed/plant, physiological maturation of pods (dae) and oil content in seeds (%). The genetic divergence of genotypes was estimated by multivariate methods. data set was analyzed by canonical variable (CV) in combination with UPGMA-clustering analyses. The statistical analysis was performed using the GENES program. We found that the first two CV were significant and accounted for 82.13% of the total variation. Three groups were clearly formed, separated by earliness and pod production. This arrangement was further attested by the dendrogram generated by UPGMA. The CV indicated that physiological maturation of pods, main stem height, number of pods/plant and 100 seed weight were the most differentiating traits among the genotypes. These two last allowed high magnitude associations and were contributive to selection procedures in improvement works. We provide indications of the best genotypes with potential to generate robust progenies, in a peanut breeding program.
publishDate 2016
dc.date.none.fl_str_mv 2016
2017-02-21T11:11:11Z
2017-02-21T11:11:11Z
2017-02-21
2017-02-21T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv African Journal of Agricultural Research, v. 11, n. 16, p. 1456-1462, Apr. 2016.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1064942
identifier_str_mv African Journal of Agricultural Research, v. 11, n. 16, p. 1456-1462, Apr. 2016.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1064942
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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