Multiple centroid method to evaluate the adaptability of alfalfa genotypes

Detalhes bibliográficos
Autor(a) principal: Nascimento,Moysés
Data de Publicação: 2015
Outros Autores: Ferreira,Adésio, Nascimento,Ana Carolina Campana, Silva,Fabyano Fonseca e, Ferreira,Reinaldo de Paula, Cruz,Cosme Damião
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ceres
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2015000100030
Resumo: This study aimed to evaluate the efficiency of multiple centroids to study the adaptability of alfalfa genotypes (Medicago sativa L.). In this method, the genotypes are compared with ideotypes defined by the bissegmented regression model, according to the researcher's interest. Thus, genotype classification is carried out as determined by the objective of the researcher and the proposed recommendation strategy. Despite the great potential of the method, it needs to be evaluated under the biological context (with real data). In this context, we used data on the evaluation of dry matter production of 92 alfalfa cultivars, with 20 cuttings, from an experiment in randomized blocks with two repetitions carried out from November 2004 to June 2006. The multiple centroid method proved efficient for classifying alfalfa genotypes. Moreover, it showed no unambiguous indications and provided that ideotypes were defined according to the researcher's interest, facilitating data interpretation.
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spelling Multiple centroid method to evaluate the adaptability of alfalfa genotypesprincipal componentsgenotype x environment interactionMedicago sativa L.This study aimed to evaluate the efficiency of multiple centroids to study the adaptability of alfalfa genotypes (Medicago sativa L.). In this method, the genotypes are compared with ideotypes defined by the bissegmented regression model, according to the researcher's interest. Thus, genotype classification is carried out as determined by the objective of the researcher and the proposed recommendation strategy. Despite the great potential of the method, it needs to be evaluated under the biological context (with real data). In this context, we used data on the evaluation of dry matter production of 92 alfalfa cultivars, with 20 cuttings, from an experiment in randomized blocks with two repetitions carried out from November 2004 to June 2006. The multiple centroid method proved efficient for classifying alfalfa genotypes. Moreover, it showed no unambiguous indications and provided that ideotypes were defined according to the researcher's interest, facilitating data interpretation.Universidade Federal de Viçosa2015-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2015000100030Revista Ceres v.62 n.1 2015reponame:Revista Ceresinstname:Universidade Federal de Viçosa (UFV)instacron:UFV10.1590/0034-737X201562010004info:eu-repo/semantics/openAccessNascimento,MoysésFerreira,AdésioNascimento,Ana Carolina CampanaSilva,Fabyano Fonseca eFerreira,Reinaldo de PaulaCruz,Cosme Damiãoeng2015-04-23T00:00:00ZRevista
dc.title.none.fl_str_mv Multiple centroid method to evaluate the adaptability of alfalfa genotypes
title Multiple centroid method to evaluate the adaptability of alfalfa genotypes
spellingShingle Multiple centroid method to evaluate the adaptability of alfalfa genotypes
Nascimento,Moysés
principal components
genotype x environment interaction
Medicago sativa L.
title_short Multiple centroid method to evaluate the adaptability of alfalfa genotypes
title_full Multiple centroid method to evaluate the adaptability of alfalfa genotypes
title_fullStr Multiple centroid method to evaluate the adaptability of alfalfa genotypes
title_full_unstemmed Multiple centroid method to evaluate the adaptability of alfalfa genotypes
title_sort Multiple centroid method to evaluate the adaptability of alfalfa genotypes
author Nascimento,Moysés
author_facet Nascimento,Moysés
Ferreira,Adésio
Nascimento,Ana Carolina Campana
Silva,Fabyano Fonseca e
Ferreira,Reinaldo de Paula
Cruz,Cosme Damião
author_role author
author2 Ferreira,Adésio
Nascimento,Ana Carolina Campana
Silva,Fabyano Fonseca e
Ferreira,Reinaldo de Paula
Cruz,Cosme Damião
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Nascimento,Moysés
Ferreira,Adésio
Nascimento,Ana Carolina Campana
Silva,Fabyano Fonseca e
Ferreira,Reinaldo de Paula
Cruz,Cosme Damião
dc.subject.por.fl_str_mv principal components
genotype x environment interaction
Medicago sativa L.
topic principal components
genotype x environment interaction
Medicago sativa L.
dc.description.none.fl_txt_mv This study aimed to evaluate the efficiency of multiple centroids to study the adaptability of alfalfa genotypes (Medicago sativa L.). In this method, the genotypes are compared with ideotypes defined by the bissegmented regression model, according to the researcher's interest. Thus, genotype classification is carried out as determined by the objective of the researcher and the proposed recommendation strategy. Despite the great potential of the method, it needs to be evaluated under the biological context (with real data). In this context, we used data on the evaluation of dry matter production of 92 alfalfa cultivars, with 20 cuttings, from an experiment in randomized blocks with two repetitions carried out from November 2004 to June 2006. The multiple centroid method proved efficient for classifying alfalfa genotypes. Moreover, it showed no unambiguous indications and provided that ideotypes were defined according to the researcher's interest, facilitating data interpretation.
description This study aimed to evaluate the efficiency of multiple centroids to study the adaptability of alfalfa genotypes (Medicago sativa L.). In this method, the genotypes are compared with ideotypes defined by the bissegmented regression model, according to the researcher's interest. Thus, genotype classification is carried out as determined by the objective of the researcher and the proposed recommendation strategy. Despite the great potential of the method, it needs to be evaluated under the biological context (with real data). In this context, we used data on the evaluation of dry matter production of 92 alfalfa cultivars, with 20 cuttings, from an experiment in randomized blocks with two repetitions carried out from November 2004 to June 2006. The multiple centroid method proved efficient for classifying alfalfa genotypes. Moreover, it showed no unambiguous indications and provided that ideotypes were defined according to the researcher's interest, facilitating data interpretation.
publishDate 2015
dc.date.none.fl_str_mv 2015-02-01
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=S0034-737X2015000100030
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2015000100030
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0034-737X201562010004
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 de Viçosa
publisher.none.fl_str_mv Universidade Federal de Viçosa
dc.source.none.fl_str_mv Revista Ceres v.62 n.1 2015
reponame:Revista Ceres
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Revista Ceres
collection Revista Ceres
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1728006781855072256

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