Restricted selection indexes used in sour passion fruit intrapopulational recurrent selection

Sour passion fruit has great relevance for Brazil by its socioeconomic importance. Although it is one of the most important fruit trees in the Brazilian fruit production, its productivity is still very low due to the lack of genotypes that are homogenous, productive, and adapted to...

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Main Authors: Edinéia Zulian Dalbosco, Willian Krause, Dhiego Pereira Krause, Leandro Rafael Fachi, Rivanildo Dallacort, Alexandre Pio Viana
Format: Article
Language:Portuguese
Published: Universidade Federal Rural da Amazônia (UFRA) 2018-12-01
Series:Revista de Ciências Agrárias
Subjects:
Online Access:https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3003/1569
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spelling doaj-7e484448f6244f25994feebab33ac8452020-11-25T01:18:05ZporUniversidade Federal Rural da Amazônia (UFRA)Revista de Ciências Agrárias2177-87602177-87602018-12-0162http://dx.doi.org/10.22491/rca.2019.3003Restricted selection indexes used in sour passion fruit intrapopulational recurrent selectionEdinéia Zulian Dalbosco0Willian Krause1Dhiego Pereira Krause2Leandro Rafael Fachi3Rivanildo Dallacort4Alexandre Pio Viana5Centro de Pesquisa, Estudos e Desenvolvimento Agroambiental (CPEDA), Universidade do Estado de Mato Grosso (Unemat), Rodovia MT 358, km 7, 78300-000, Tangará da Serra, MT, BrasilCentro de Pesquisa, Estudos e Desenvolvimento Agroambiental (CPEDA), Universidade do Estado de Mato Grosso (Unemat), Rodovia MT 358, km 7, 78300-000, Tangará da Serra, MT, BrasilCentro de Pesquisa, Estudos e Desenvolvimento Agroambiental (CPEDA), Universidade do Estado de Mato Grosso (Unemat), Rodovia MT 358, km 7, 78300-000, Tangará da Serra, MT, BrasilCentro de Pesquisa, Estudos e Desenvolvimento Agroambiental (CPEDA), Universidade do Estado de Mato Grosso (Unemat), Rodovia MT 358, km 7, 78300-000, Tangará da Serra, MT, BrasilCentro de Pesquisa, Estudos e Desenvolvimento Agroambiental (CPEDA), Universidade do Estado de Mato Grosso (Unemat), Rodovia MT 358, km 7, 78300-000, Tangará da Serra, MT, BrasilCentro de Ciências e Tecnologias Agropecuárias (CCTA), Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 200, 28013-602, Campos dos Goytacazes, RJ, Brasil Sour passion fruit has great relevance for Brazil by its socioeconomic importance. Although it is one of the most important fruit trees in the Brazilian fruit production, its productivity is still very low due to the lack of genotypes that are homogenous, productive, and adapted to the different regions of the country. This denotes the need for advances in genetic improvement of this fruit species. In this context, the objective of this work was to estimate genetic gains in sour passion fruit progenies under intrapopulation recurrent selection, using different restricted selection indexes: Kempthorne & Nordskog, Tallis, and James; and non-restricted selection indexes: Smith, Hazel, and Mulamba & Mock. Thus, 13 agronomic characteristics were evaluated in 118 full-sib families and three controls. The selection indexes used to obtain the genetic gains were Mulamba & Mock, Smith, Hazel, and Kempthorne & Nordskog, with the assignment of random weights. The Tallis index was applied to the restriction for fruit mass, and the restriction of James for productivity gains. The Genes program was used to analyze the selection indexes. The restricted selection indexes of Kempthorne & Nordskog, Tallis, and James are more suitable for the selection of full-sib families of sour passion fruit than the Smith, Hazel, and Mulamba & Mock non-restricted selection indexes, and can be applied in recurrent selection programs. The results indicate that the addition of the restrictions proposed by Tallis and James are not efficient for increasing gains when compared to the Kempthorne & Nordskog, since they obtained similar gains.https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3003/1569Genetic gainsCovariance matrixBreedingSimultaneous selection
collection DOAJ
language Portuguese
format Article
sources DOAJ
author Edinéia Zulian Dalbosco
Willian Krause
Dhiego Pereira Krause
Leandro Rafael Fachi
Rivanildo Dallacort
Alexandre Pio Viana
spellingShingle Edinéia Zulian Dalbosco
Willian Krause
Dhiego Pereira Krause
Leandro Rafael Fachi
Rivanildo Dallacort
Alexandre Pio Viana
Restricted selection indexes used in sour passion fruit intrapopulational recurrent selection
Revista de Ciências Agrárias
Genetic gains
Covariance matrix
Breeding
Simultaneous selection
author_facet Edinéia Zulian Dalbosco
Willian Krause
Dhiego Pereira Krause
Leandro Rafael Fachi
Rivanildo Dallacort
Alexandre Pio Viana
author_sort Edinéia Zulian Dalbosco
title Restricted selection indexes used in sour passion fruit intrapopulational recurrent selection
title_short Restricted selection indexes used in sour passion fruit intrapopulational recurrent selection
title_full Restricted selection indexes used in sour passion fruit intrapopulational recurrent selection
title_fullStr Restricted selection indexes used in sour passion fruit intrapopulational recurrent selection
title_full_unstemmed Restricted selection indexes used in sour passion fruit intrapopulational recurrent selection
title_sort restricted selection indexes used in sour passion fruit intrapopulational recurrent selection
publisher Universidade Federal Rural da Amazônia (UFRA)
series Revista de Ciências Agrárias
issn 2177-8760
2177-8760
publishDate 2018-12-01
description Sour passion fruit has great relevance for Brazil by its socioeconomic importance. Although it is one of the most important fruit trees in the Brazilian fruit production, its productivity is still very low due to the lack of genotypes that are homogenous, productive, and adapted to the different regions of the country. This denotes the need for advances in genetic improvement of this fruit species. In this context, the objective of this work was to estimate genetic gains in sour passion fruit progenies under intrapopulation recurrent selection, using different restricted selection indexes: Kempthorne & Nordskog, Tallis, and James; and non-restricted selection indexes: Smith, Hazel, and Mulamba & Mock. Thus, 13 agronomic characteristics were evaluated in 118 full-sib families and three controls. The selection indexes used to obtain the genetic gains were Mulamba & Mock, Smith, Hazel, and Kempthorne & Nordskog, with the assignment of random weights. The Tallis index was applied to the restriction for fruit mass, and the restriction of James for productivity gains. The Genes program was used to analyze the selection indexes. The restricted selection indexes of Kempthorne & Nordskog, Tallis, and James are more suitable for the selection of full-sib families of sour passion fruit than the Smith, Hazel, and Mulamba & Mock non-restricted selection indexes, and can be applied in recurrent selection programs. The results indicate that the addition of the restrictions proposed by Tallis and James are not efficient for increasing gains when compared to the Kempthorne & Nordskog, since they obtained similar gains.
topic Genetic gains
Covariance matrix
Breeding
Simultaneous selection
url https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3003/1569
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