Nonparametric indices for the selection of hybrid citrus as rootstocks grafted with 'Valência' sweet Orange

Abstract: 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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Main Authors: Costa,Danilo Pereira, Ribeiro,Lucas de Oliveira, Coelho Filho,Maurício Antônio, Ledo,Carlos Alberto da Silva, Stuchi,Eduardo Sanches, Girardi,Eduardo Augusto, Gesteira,Abelmon da Silva, Soares Filho,Walter dos Santos
Format: Digital revista
Language:English
Published: Embrapa Secretaria de Pesquisa e Desenvolvimento 2020
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2020000102810
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spelling oai:scielo:S0100-204X20200001028102020-11-13Nonparametric indices for the selection of hybrid citrus as rootstocks grafted with 'Valência' sweet OrangeCosta,Danilo PereiraRibeiro,Lucas de OliveiraCoelho Filho,Maurício AntônioLedo,Carlos Alberto da SilvaStuchi,Eduardo SanchesGirardi,Eduardo AugustoGesteira,Abelmon da SilvaSoares Filho,Walter dos Santos Citrus Poncirus trifoliata breeding genetic variability selection index Abstract: 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.info:eu-repo/semantics/openAccessEmbrapa Secretaria de Pesquisa e DesenvolvimentoPesquisa Agropecuária BrasileiraPesquisa Agropecuária Brasileira v.55 20202020-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2020000102810en10.1590/s1678-3921.pab2020.v55.01592
institution SCIELO
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countrycode BR
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libraryname SciELO
language English
format Digital
author Costa,Danilo Pereira
Ribeiro,Lucas de Oliveira
Coelho Filho,Maurício Antônio
Ledo,Carlos Alberto da Silva
Stuchi,Eduardo Sanches
Girardi,Eduardo Augusto
Gesteira,Abelmon da Silva
Soares Filho,Walter dos Santos
spellingShingle Costa,Danilo Pereira
Ribeiro,Lucas de Oliveira
Coelho Filho,Maurício Antônio
Ledo,Carlos Alberto da Silva
Stuchi,Eduardo Sanches
Girardi,Eduardo Augusto
Gesteira,Abelmon da Silva
Soares Filho,Walter dos Santos
Nonparametric indices for the selection of hybrid citrus as rootstocks grafted with 'Valência' sweet Orange
author_facet Costa,Danilo Pereira
Ribeiro,Lucas de Oliveira
Coelho Filho,Maurício Antônio
Ledo,Carlos Alberto da Silva
Stuchi,Eduardo Sanches
Girardi,Eduardo Augusto
Gesteira,Abelmon da Silva
Soares Filho,Walter dos Santos
author_sort Costa,Danilo Pereira
title Nonparametric indices for the selection of hybrid citrus as rootstocks grafted with 'Valência' sweet Orange
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
description Abstract: 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.
publisher Embrapa Secretaria de Pesquisa e Desenvolvimento
publishDate 2020
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2020000102810
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