Stability and adaptability of sweet orange using mixed models.

Detalhes bibliográficos
Autor(a) principal: CAPISTRANO, M. da C.
Data de Publicação: 2020
Outros Autores: ANDRADE NETO, R. de C., SANTOS, V. B. dos, LESSA, L. S., RESENDE, M. D. V. de, GURGEL, F. de L.
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/1128974
https://doi.org/10.14295/CS.v12.3411
Resumo: Evaluations with sweet oranges are usually performed in several harvests and places to verify the differential behavior according to the environmental variations. This makes the selection by traditional statistical methodologies more and more difficult since they have limitations in the case of data unbalanced, common in citrus during the experimental phase due to the possibility of plot loss over the years. The objective of this work was to estimate the temporal stability and adaptability of sweet orange genotypes cultivated in eight crops under the edaphoclimatic conditions of Rio Branco, Acre. The experimental design used was in randomized blocks containing 55 genotypes and three replications. Four agronomic characteristics were evaluated during eight harvests. The genetic parameters were estimated using the REML/BLUP methodology. After detecting the presence of significant interaction between genotypes and environments, stability and adaptability analyzes were conducted by the methods of the harmonic mean of the genotypic values (HMGV), the relative performance of the genetic values (RPGV) and the harmonic mean of the relative performance of the genotypic values (HMRPGV). The HMRPGV can be used to select stable, adapted and productive sweet orange genotypes. The number 48, 19, 5, 14, 2, 47 and 37 sweet orange genotypes can be selected for cultivation in an environment similar to the one studied, as they simultaneously present high stability, adaptability and productivity.
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spelling Stability and adaptability of sweet orange using mixed models.Sweet orangesInteração genótipo-ambienteInteracción genotipo-ambienteEstabilidade genéticaGenotype adaptabilityAclimataciónGenética cuantitativaGranjas de demostraciónAnálisis estadísticoEmbrapa AcreRio Branco (AC)AcreAmazônia OcidentalWestern AmazonAmazonia OccidentalLaranja DoceCitrus SinensisAclimataçãoCampo ExperimentalAnálise QuantitativaMétodo EstatísticoAcclimationGenotype-environment interactionQuantitative geneticsGenetic stabilityDemonstration farmsStatistical analysisEvaluations with sweet oranges are usually performed in several harvests and places to verify the differential behavior according to the environmental variations. This makes the selection by traditional statistical methodologies more and more difficult since they have limitations in the case of data unbalanced, common in citrus during the experimental phase due to the possibility of plot loss over the years. The objective of this work was to estimate the temporal stability and adaptability of sweet orange genotypes cultivated in eight crops under the edaphoclimatic conditions of Rio Branco, Acre. The experimental design used was in randomized blocks containing 55 genotypes and three replications. Four agronomic characteristics were evaluated during eight harvests. The genetic parameters were estimated using the REML/BLUP methodology. After detecting the presence of significant interaction between genotypes and environments, stability and adaptability analyzes were conducted by the methods of the harmonic mean of the genotypic values (HMGV), the relative performance of the genetic values (RPGV) and the harmonic mean of the relative performance of the genotypic values (HMRPGV). The HMRPGV can be used to select stable, adapted and productive sweet orange genotypes. The number 48, 19, 5, 14, 2, 47 and 37 sweet orange genotypes can be selected for cultivation in an environment similar to the one studied, as they simultaneously present high stability, adaptability and productivity.Publicado no site da revista como v. 12, 2021.Márcia da Costa Capistrano, Universidade Federal do Acre (Ufac); ROMEU DE CARVALHO ANDRADE NETO, CPAF-AC; Vanderley Borges dos Santos, Universidade Federal do Acre (Ufac); LAURO SARAIVA LESSA, CPAF-AC; MARCOS DEON VILELA DE RESENDE, CNPF; FABIO DE LIMA GURGEL, CPATU.CAPISTRANO, M. da C.ANDRADE NETO, R. de C.SANTOS, V. B. dosLESSA, L. S.RESENDE, M. D. V. deGURGEL, F. de L.2021-01-06T09:01:55Z2021-01-06T09:01:55Z2021-01-052020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleComunicata Scientiae, v. 12, e3411, 2020.2176-9079 (Print) / 2177-5133 (Online)http://www.alice.cnptia.embrapa.br/alice/handle/doc/1128974https://doi.org/10.14295/CS.v12.3411enginfo: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:EMBRAPA2021-01-06T09:02:02Zoai:www.alice.cnptia.embrapa.br:doc/1128974Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542021-01-06T09:02:02falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542021-01-06T09:02:02Repositório 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 Stability and adaptability of sweet orange using mixed models.
title Stability and adaptability of sweet orange using mixed models.
spellingShingle Stability and adaptability of sweet orange using mixed models.
CAPISTRANO, M. da C.
Sweet oranges
Interação genótipo-ambiente
Interacción genotipo-ambiente
Estabilidade genética
Genotype adaptability
Aclimatación
Genética cuantitativa
Granjas de demostración
Análisis estadístico
Embrapa Acre
Rio Branco (AC)
Acre
Amazônia Ocidental
Western Amazon
Amazonia Occidental
Laranja Doce
Citrus Sinensis
Aclimatação
Campo Experimental
Análise Quantitativa
Método Estatístico
Acclimation
Genotype-environment interaction
Quantitative genetics
Genetic stability
Demonstration farms
Statistical analysis
title_short Stability and adaptability of sweet orange using mixed models.
title_full Stability and adaptability of sweet orange using mixed models.
title_fullStr Stability and adaptability of sweet orange using mixed models.
title_full_unstemmed Stability and adaptability of sweet orange using mixed models.
title_sort Stability and adaptability of sweet orange using mixed models.
author CAPISTRANO, M. da C.
author_facet CAPISTRANO, M. da C.
ANDRADE NETO, R. de C.
SANTOS, V. B. dos
LESSA, L. S.
RESENDE, M. D. V. de
GURGEL, F. de L.
author_role author
author2 ANDRADE NETO, R. de C.
SANTOS, V. B. dos
LESSA, L. S.
RESENDE, M. D. V. de
GURGEL, F. de L.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Márcia da Costa Capistrano, Universidade Federal do Acre (Ufac); ROMEU DE CARVALHO ANDRADE NETO, CPAF-AC; Vanderley Borges dos Santos, Universidade Federal do Acre (Ufac); LAURO SARAIVA LESSA, CPAF-AC; MARCOS DEON VILELA DE RESENDE, CNPF; FABIO DE LIMA GURGEL, CPATU.
dc.contributor.author.fl_str_mv CAPISTRANO, M. da C.
ANDRADE NETO, R. de C.
SANTOS, V. B. dos
LESSA, L. S.
RESENDE, M. D. V. de
GURGEL, F. de L.
dc.subject.por.fl_str_mv Sweet oranges
Interação genótipo-ambiente
Interacción genotipo-ambiente
Estabilidade genética
Genotype adaptability
Aclimatación
Genética cuantitativa
Granjas de demostración
Análisis estadístico
Embrapa Acre
Rio Branco (AC)
Acre
Amazônia Ocidental
Western Amazon
Amazonia Occidental
Laranja Doce
Citrus Sinensis
Aclimatação
Campo Experimental
Análise Quantitativa
Método Estatístico
Acclimation
Genotype-environment interaction
Quantitative genetics
Genetic stability
Demonstration farms
Statistical analysis
topic Sweet oranges
Interação genótipo-ambiente
Interacción genotipo-ambiente
Estabilidade genética
Genotype adaptability
Aclimatación
Genética cuantitativa
Granjas de demostración
Análisis estadístico
Embrapa Acre
Rio Branco (AC)
Acre
Amazônia Ocidental
Western Amazon
Amazonia Occidental
Laranja Doce
Citrus Sinensis
Aclimatação
Campo Experimental
Análise Quantitativa
Método Estatístico
Acclimation
Genotype-environment interaction
Quantitative genetics
Genetic stability
Demonstration farms
Statistical analysis
description Evaluations with sweet oranges are usually performed in several harvests and places to verify the differential behavior according to the environmental variations. This makes the selection by traditional statistical methodologies more and more difficult since they have limitations in the case of data unbalanced, common in citrus during the experimental phase due to the possibility of plot loss over the years. The objective of this work was to estimate the temporal stability and adaptability of sweet orange genotypes cultivated in eight crops under the edaphoclimatic conditions of Rio Branco, Acre. The experimental design used was in randomized blocks containing 55 genotypes and three replications. Four agronomic characteristics were evaluated during eight harvests. The genetic parameters were estimated using the REML/BLUP methodology. After detecting the presence of significant interaction between genotypes and environments, stability and adaptability analyzes were conducted by the methods of the harmonic mean of the genotypic values (HMGV), the relative performance of the genetic values (RPGV) and the harmonic mean of the relative performance of the genotypic values (HMRPGV). The HMRPGV can be used to select stable, adapted and productive sweet orange genotypes. The number 48, 19, 5, 14, 2, 47 and 37 sweet orange genotypes can be selected for cultivation in an environment similar to the one studied, as they simultaneously present high stability, adaptability and productivity.
publishDate 2020
dc.date.none.fl_str_mv 2020
2021-01-06T09:01:55Z
2021-01-06T09:01:55Z
2021-01-05
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 Comunicata Scientiae, v. 12, e3411, 2020.
2176-9079 (Print) / 2177-5133 (Online)
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1128974
https://doi.org/10.14295/CS.v12.3411
identifier_str_mv Comunicata Scientiae, v. 12, e3411, 2020.
2176-9079 (Print) / 2177-5133 (Online)
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1128974
https://doi.org/10.14295/CS.v12.3411
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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