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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Embrapa Secretaria de Pesquisa e Desenvolvimento
2020
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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 |
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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 |
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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. |
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Embrapa Secretaria de Pesquisa e Desenvolvimento |
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2020 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2020000102810 |
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