Stability and adaptability of sweet orange using mixed models.
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
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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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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1794503500728631296 |