Nonparametric indices for the selection of hybrid citrus as rootstocks grafted with 'Valência' sweet Orange.
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/1127722 https://doi.org/10.1590/S1678-3921.pab2020.v55.01592. |
Resumo: | The objective of this work was to evaluate five nonparametric selection indices for the selection of hybrid citrus rootstocks grafted with 'Valência' sweet orange, using horticultural traits relevant for the juice processing industry. Forty-six rootstocks were evaluated in a randomized complete block design, with three replicates and five trees in the plot, in the period from 2009?2015, in a rainfed cultivation. The means of the variables plant height, accumulated fruit yield, fruit yield efficiency, total soluble solids concentration, juice yield, and drought-tolerance were used to calculate the following indices: multiplicative index (IEi), sum of classification (IMMi), genotype-ideotype distance (DiI), and ranking indices (IRKi, based on simple means; and IRKii, based on linear normalization). The indices were efficient to classify the hybrids in relation to general performance. Spearman?s correlation showed a high similarity between most nonparametric indices, notably between IRKi and IRKii. The ranking indices, mainly IRKii, provide a more coherent classification of the hybrids, which allows of the selection of more productive and drought-tolerant rootstocks to produce high-quality fruit for processing. |
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Nonparametric indices for the selection of hybrid citrus as rootstocks grafted with 'Valência' sweet Orange.Porta EnxertoThe objective of this work was to evaluate five nonparametric selection indices for the selection of hybrid citrus rootstocks grafted with 'Valência' sweet orange, using horticultural traits relevant for the juice processing industry. Forty-six rootstocks were evaluated in a randomized complete block design, with three replicates and five trees in the plot, in the period from 2009?2015, in a rainfed cultivation. The means of the variables plant height, accumulated fruit yield, fruit yield efficiency, total soluble solids concentration, juice yield, and drought-tolerance were used to calculate the following indices: multiplicative index (IEi), sum of classification (IMMi), genotype-ideotype distance (DiI), and ranking indices (IRKi, based on simple means; and IRKii, based on linear normalization). The indices were efficient to classify the hybrids in relation to general performance. Spearman?s correlation showed a high similarity between most nonparametric indices, notably between IRKi and IRKii. The ranking indices, mainly IRKii, provide a more coherent classification of the hybrids, which allows of the selection of more productive and drought-tolerant rootstocks to produce high-quality fruit for processing.DANILO PEREIRA COSTA, UESC; LUCAS DE OLIVEIRA RIBEIRO, UFRB; MAURICIO ANTONIO COELHO FILHO, CNPMF; CARLOS ALBERTO DA SILVA LEDO, CNPMF; EDUARDO SANCHES STUCHI, CNPMF; EDUARDO AUGUSTO GIRARDI, CNPMF; ABELMON DA SILVA GESTEIRA, CNPMF; WALTER DOS SANTOS SOARES FILHO, CNPMF.COSTA, D. P.RIBEIRO, L. de O.COELHO FILHO, M. A.LEDO, C. A. da S.STUCHI, E. S.GIRARDI, E. A.GESTEIRA, A. da S.SOARES FILHO, W. dos S.2020-12-08T09:06:32Z2020-12-08T09:06:32Z2020-12-072020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePesquisa Agropecuária Brasileira, v.55, e01592, 2020.1678-3921http://www.alice.cnptia.embrapa.br/alice/handle/doc/1127722https://doi.org/10.1590/S1678-3921.pab2020.v55.01592.enginfo: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:EMBRAPA2020-12-08T09:06:40Zoai:www.alice.cnptia.embrapa.br:doc/1127722Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542020-12-08T09:06:40falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542020-12-08T09:06:40Repositório 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 |
Nonparametric indices for the selection of hybrid citrus as rootstocks grafted with 'Valência' sweet Orange. |
title |
Nonparametric indices for the selection of hybrid citrus as rootstocks grafted with 'Valência' sweet Orange. |
spellingShingle |
Nonparametric indices for the selection of hybrid citrus as rootstocks grafted with 'Valência' sweet Orange. COSTA, D. P. Porta Enxerto |
title_short |
Nonparametric indices for the selection of hybrid citrus as rootstocks grafted with 'Valência' sweet Orange. |
title_full |
Nonparametric indices for the selection of hybrid citrus as rootstocks grafted with 'Valência' sweet Orange. |
title_fullStr |
Nonparametric indices for the selection of hybrid citrus as rootstocks grafted with 'Valência' sweet Orange. |
title_full_unstemmed |
Nonparametric indices for the selection of hybrid citrus as rootstocks grafted with 'Valência' sweet Orange. |
title_sort |
Nonparametric indices for the selection of hybrid citrus as rootstocks grafted with 'Valência' sweet Orange. |
author |
COSTA, D. P. |
author_facet |
COSTA, D. P. RIBEIRO, L. de O. COELHO FILHO, M. A. LEDO, C. A. da S. STUCHI, E. S. GIRARDI, E. A. GESTEIRA, A. da S. SOARES FILHO, W. dos S. |
author_role |
author |
author2 |
RIBEIRO, L. de O. COELHO FILHO, M. A. LEDO, C. A. da S. STUCHI, E. S. GIRARDI, E. A. GESTEIRA, A. da S. SOARES FILHO, W. dos S. |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
DANILO PEREIRA COSTA, UESC; LUCAS DE OLIVEIRA RIBEIRO, UFRB; MAURICIO ANTONIO COELHO FILHO, CNPMF; CARLOS ALBERTO DA SILVA LEDO, CNPMF; EDUARDO SANCHES STUCHI, CNPMF; EDUARDO AUGUSTO GIRARDI, CNPMF; ABELMON DA SILVA GESTEIRA, CNPMF; WALTER DOS SANTOS SOARES FILHO, CNPMF. |
dc.contributor.author.fl_str_mv |
COSTA, D. P. RIBEIRO, L. de O. COELHO FILHO, M. A. LEDO, C. A. da S. STUCHI, E. S. GIRARDI, E. A. GESTEIRA, A. da S. SOARES FILHO, W. dos S. |
dc.subject.por.fl_str_mv |
Porta Enxerto |
topic |
Porta Enxerto |
description |
The objective of this work was to evaluate five nonparametric selection indices for the selection of hybrid citrus rootstocks grafted with 'Valência' sweet orange, using horticultural traits relevant for the juice processing industry. Forty-six rootstocks were evaluated in a randomized complete block design, with three replicates and five trees in the plot, in the period from 2009?2015, in a rainfed cultivation. The means of the variables plant height, accumulated fruit yield, fruit yield efficiency, total soluble solids concentration, juice yield, and drought-tolerance were used to calculate the following indices: multiplicative index (IEi), sum of classification (IMMi), genotype-ideotype distance (DiI), and ranking indices (IRKi, based on simple means; and IRKii, based on linear normalization). The indices were efficient to classify the hybrids in relation to general performance. Spearman?s correlation showed a high similarity between most nonparametric indices, notably between IRKi and IRKii. The ranking indices, mainly IRKii, provide a more coherent classification of the hybrids, which allows of the selection of more productive and drought-tolerant rootstocks to produce high-quality fruit for processing. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-08T09:06:32Z 2020-12-08T09:06:32Z 2020-12-07 2020 |
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 |
Pesquisa Agropecuária Brasileira, v.55, e01592, 2020. 1678-3921 http://www.alice.cnptia.embrapa.br/alice/handle/doc/1127722 https://doi.org/10.1590/S1678-3921.pab2020.v55.01592. |
identifier_str_mv |
Pesquisa Agropecuária Brasileira, v.55, e01592, 2020. 1678-3921 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1127722 https://doi.org/10.1590/S1678-3921.pab2020.v55.01592. |
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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1794503498787717120 |