Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures.

Detalhes bibliográficos
Autor(a) principal: OLIVEIRA, C. F. de
Data de Publicação: 2023
Outros Autores: SOUZA, J. E. de, SIQUEIRA, M. J. da S., SILVA JÚNIOR, A. C. da, FERREIRA, R. de P., VILELA, D., CRUZ, C. D.
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/1153333
https://doi.org/10.33158/ASB.r177.v9
Resumo: The biggest challenge in the alfalfa breeding program is to obtain cultivars with high persistence, high productivity, and adaptability. Therefore, studies about selection methods are necessary for the success of alfalfa breeding programs. This study aimed to evaluate dry matter yield and persistence in alfalfa for selecting genotypes, using appropriate statistical models for experiments with repeated measures. The experiment was conducted at Embrapa Southeast Livestock, in São Carlos, state of São Paulo, Brazil in a randomized blocks design, in plots subdivided in time, with three replicates. Eight genotypes were evaluated, and the agronomic trait evaluated was dry matter yield. The experiments in split-plots were used with two and three errors and generalized linear models with the following correlation structures: composite symmetry (CS), heterogeneous composite symmetry (HCS), auto regressive (AR), heterogeneous auto regressive (HAR), and variance components (VC). The best model was selected according to the lowest value of the Akaike Information Criterion (AIC), and three methodologies were used to identify the genotype with greater productivity and persistence: Average test for multiple comparisons, adaptability, and stability by multi-information, and similarity between genotype and ideotype. The interaction between genotypes and cuts was significant, demonstrating the existence of the different behavior of the alfalfa genotypes over the cuts. Different methodologies allowed to measure the average yield of the alfalfa genotype and the persistence over the cuts. PSB 4 genotype demonstrated promissory behavior in terms of productivity and persistence throughout the production cycle of alfalfa.
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spelling Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures.Medicago SativaGenótipoMatéria SecaBiometriaThe biggest challenge in the alfalfa breeding program is to obtain cultivars with high persistence, high productivity, and adaptability. Therefore, studies about selection methods are necessary for the success of alfalfa breeding programs. This study aimed to evaluate dry matter yield and persistence in alfalfa for selecting genotypes, using appropriate statistical models for experiments with repeated measures. The experiment was conducted at Embrapa Southeast Livestock, in São Carlos, state of São Paulo, Brazil in a randomized blocks design, in plots subdivided in time, with three replicates. Eight genotypes were evaluated, and the agronomic trait evaluated was dry matter yield. The experiments in split-plots were used with two and three errors and generalized linear models with the following correlation structures: composite symmetry (CS), heterogeneous composite symmetry (HCS), auto regressive (AR), heterogeneous auto regressive (HAR), and variance components (VC). The best model was selected according to the lowest value of the Akaike Information Criterion (AIC), and three methodologies were used to identify the genotype with greater productivity and persistence: Average test for multiple comparisons, adaptability, and stability by multi-information, and similarity between genotype and ideotype. The interaction between genotypes and cuts was significant, demonstrating the existence of the different behavior of the alfalfa genotypes over the cuts. Different methodologies allowed to measure the average yield of the alfalfa genotype and the persistence over the cuts. PSB 4 genotype demonstrated promissory behavior in terms of productivity and persistence throughout the production cycle of alfalfa.CRISTIANO FERREIRA DE OLIVEIRA, Universidade Federal de Viçosa; JACQUELINE ENEQUIO DE SOUZA, Universidade Federal de Viçosa; MICHELE JORGE DA SILVA SIQUEIRA, Escola Superior de Agricultura Luiz de Queiroz; ANTÔNIO CARLOS DA SILVA JÚNIOR, Universidade Federal de Viçosa; REINALDO DE PAULA FERREIRA, Epamig; DUARTE VILELA, CNPGL; COSME DAMIÃO CRUZ, Universidade Federal de Viçosa.OLIVEIRA, C. F. deSOUZA, J. E. deSIQUEIRA, M. J. da S.SILVA JÚNIOR, A. C. daFERREIRA, R. de P.VILELA, D.CRUZ, C. D.2023-04-25T12:52:13Z2023-04-25T12:52:13Z2023-04-252023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAgronomy Science and Biotechnology, v. 9, 1-14, 2023.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1153333https://doi.org/10.33158/ASB.r177.v9enginfo: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:EMBRAPA2023-04-25T12:52:13Zoai:www.alice.cnptia.embrapa.br:doc/1153333Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-04-25T12:52:13falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-04-25T12:52:13Repositório 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 Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures.
title Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures.
spellingShingle Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures.
OLIVEIRA, C. F. de
Medicago Sativa
Genótipo
Matéria Seca
Biometria
title_short Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures.
title_full Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures.
title_fullStr Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures.
title_full_unstemmed Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures.
title_sort Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures.
author OLIVEIRA, C. F. de
author_facet OLIVEIRA, C. F. de
SOUZA, J. E. de
SIQUEIRA, M. J. da S.
SILVA JÚNIOR, A. C. da
FERREIRA, R. de P.
VILELA, D.
CRUZ, C. D.
author_role author
author2 SOUZA, J. E. de
SIQUEIRA, M. J. da S.
SILVA JÚNIOR, A. C. da
FERREIRA, R. de P.
VILELA, D.
CRUZ, C. D.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv CRISTIANO FERREIRA DE OLIVEIRA, Universidade Federal de Viçosa; JACQUELINE ENEQUIO DE SOUZA, Universidade Federal de Viçosa; MICHELE JORGE DA SILVA SIQUEIRA, Escola Superior de Agricultura Luiz de Queiroz; ANTÔNIO CARLOS DA SILVA JÚNIOR, Universidade Federal de Viçosa; REINALDO DE PAULA FERREIRA, Epamig; DUARTE VILELA, CNPGL; COSME DAMIÃO CRUZ, Universidade Federal de Viçosa.
dc.contributor.author.fl_str_mv OLIVEIRA, C. F. de
SOUZA, J. E. de
SIQUEIRA, M. J. da S.
SILVA JÚNIOR, A. C. da
FERREIRA, R. de P.
VILELA, D.
CRUZ, C. D.
dc.subject.por.fl_str_mv Medicago Sativa
Genótipo
Matéria Seca
Biometria
topic Medicago Sativa
Genótipo
Matéria Seca
Biometria
description The biggest challenge in the alfalfa breeding program is to obtain cultivars with high persistence, high productivity, and adaptability. Therefore, studies about selection methods are necessary for the success of alfalfa breeding programs. This study aimed to evaluate dry matter yield and persistence in alfalfa for selecting genotypes, using appropriate statistical models for experiments with repeated measures. The experiment was conducted at Embrapa Southeast Livestock, in São Carlos, state of São Paulo, Brazil in a randomized blocks design, in plots subdivided in time, with three replicates. Eight genotypes were evaluated, and the agronomic trait evaluated was dry matter yield. The experiments in split-plots were used with two and three errors and generalized linear models with the following correlation structures: composite symmetry (CS), heterogeneous composite symmetry (HCS), auto regressive (AR), heterogeneous auto regressive (HAR), and variance components (VC). The best model was selected according to the lowest value of the Akaike Information Criterion (AIC), and three methodologies were used to identify the genotype with greater productivity and persistence: Average test for multiple comparisons, adaptability, and stability by multi-information, and similarity between genotype and ideotype. The interaction between genotypes and cuts was significant, demonstrating the existence of the different behavior of the alfalfa genotypes over the cuts. Different methodologies allowed to measure the average yield of the alfalfa genotype and the persistence over the cuts. PSB 4 genotype demonstrated promissory behavior in terms of productivity and persistence throughout the production cycle of alfalfa.
publishDate 2023
dc.date.none.fl_str_mv 2023-04-25T12:52:13Z
2023-04-25T12:52:13Z
2023-04-25
2023
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 Agronomy Science and Biotechnology, v. 9, 1-14, 2023.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1153333
https://doi.org/10.33158/ASB.r177.v9
identifier_str_mv Agronomy Science and Biotechnology, v. 9, 1-14, 2023.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1153333
https://doi.org/10.33158/ASB.r177.v9
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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