Predição de ganhos, com diferentes índices de seleção, para características de frutos do maracujazeiro- amarelo

Neves, Leonarda Grillo; Bruckner, Cláudio Horst; Cruz, Cosme Damião; Viana, Alexandre Pío; Barelli, Marco Antônio Aparecido

doi:10.1590/s0100-29452011000400033

Cited by 9 publications

(10 citation statements)

References 12 publications

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“…These results demonstrate that the Williams (1962) index is suitable for selection of progenies in the current population, but undesirable gains were observed for the traits of interest PP and EC. Neves et al (2011) analysed the feasibility of using the Williams index (1962) in sour passion fruit and concluded that the index created the selection of 35 families with gains in productivity and pulp weight.…”

Section: Resultsmentioning

confidence: 99%

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<b>Prediction of genetic gains by selection indexes and REML/BLUP methodology in a population of sour passion fruit under recurrent selection

et al. 2017

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ABSTRACT. Breeding programmes must be improved to accelerate the development of new cultivars due to the commercial importance of passion fruit. This study compared four selection indexes and the REML/BLUP methodology in an assessment of predicted genetic gains in the traits of interest. A total of 81 full-sib progenies derived from the third cycle of recurrent selection were assessed for one harvest in one environment. The experiment was arranged in a randomized complete block design with five plants per plot. The following traits were assessed: number of fruits, total yield, fruit mass, fruit longitudinal diameter, fruit transverse diameter, fruit pulp percentage, shell thickness and content of soluble solids. The Mulamba & Mock index produced the best results for the selection of progenies. The REML/BLUP method was the most efficient and selected progenies with predicted genetic gains better than the selection indexes tested.Keywords: mixed models, Passiflora edulis Sims, predicted genotypic values, simultaneous selection.Predição de ganhos genéticos por índices de seleção e metodologia REML/BLUP em uma população de maracujá-azedo sob seleção recorrente RESUMO. Tendo em vista a importância do cultivo do maracujazeiro, é de grande relevância o aprimoramento dos trabalhos de melhoramento genético a fim de possibilitar com maior rapidez o desenvolvimento de novas cultivares. O objetivo do presente trabalho foi comparar quatro índices de seleção e o método REML/BLUP na avaliação de ganhos genéticos preditos das características de interesse. Foram avaliadas 81 progênies de irmãos-completos, oriundas do terceiro ciclo de seleção recorrente, em uma safra, em um ambiente. O delineamento experimental utilizado foi o de blocos ao acaso com parcelas constituídas por cinco plantas. As características avaliadas foram: número de frutos, produção total, massa do fruto, diâmetro longitudinal do fruto, diâmetro transversal do fruto, porcentagem de polpa do fruto, espessura da casca e teor de sólidos solúveis totais. O índice de seleção de Mulamba & Mock proporcionou os melhores resultados para a seleção das progênies. O método REML/BLUP mostrou-se mais eficiente, tendo selecionado progênies com ganhos genéticos preditos melhores que os dos índices de seleção testados.Palavras-chave: modelos mistos, Passiflora edulis Sims, valores genotípicos preditos, seleção simultânea.

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Section: Resultsmentioning

confidence: 99%

“…The adoption of selection indexes has often been applied in sour passion fruit breeding with the aim of progeny selection (Gonçalves, Viana, Bezerra Neto, Pereira, & Pereira, 2007;Neves, Bruckner, Cruz, Viana, & Barelli, 2011;Freitas, Oliveira, Jesus, Cruz Neto, & Santos, 2012).…”

Section: Introductionmentioning

confidence: 99%

<b>Prediction of genetic gains by selection indexes and REML/BLUP methodology in a population of sour passion fruit under recurrent selection

et al. 2017

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“…Although they have been used for many crops (Silva et al, 2009;Vasconcelos et al, 2010;Neves et al, 2011), selection indices have not been applied for strawberries, and selection based on independent elimination levels has been conducted.…”

Section: Introductionmentioning

confidence: 99%

Selection of experimental strawberry (Fragaria x ananassa) hybrids based on selection indices

Vieira¹,

Souza²,

Martins³

et al. 2017

Genet. Mol. Res.

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ABSTRACT. The strawberry (Fragaria x ananassa Dutch.), is the only vegetable belonging to the rosacea family. All strawberry species have now emerged from wild species and belong to the genus Fragaria, being that this genus presents more than 45 described species, and only 11 are considered natural species. Due to the octoploid nature of strawberry and its variability after hybridization, selecting one or more characters may result in unfavorable genotypes and even the exclusion of promising ones, because negative genetic correlations have been observed among them that cause inefficient selection. Therefore, the objective of this study was to verify the efficiency of selection indices in selecting experimental strawberry hybrids for in natura consumption and processing. Seven commercial cultivars and 103 hybrids were used, which were obtained from populations derived from their crossings. The experiment was conducted in augmented blocks, in which four agronomical traits (total mass, amount of commercial fruit, amount of noncommercial fruit, and average fruit mass) and seven physicalchemical traits (soluble solids, soluble solids:titratable acidity ratio, total sugars, total pectin, vigor, and internal and external coloration) were evaluated. For hybrid selection, the following indices were used: Mulamba and Mock (1978), Smith (1936), Hazel (1943, and genotype-ideotype, which selected 20% of the genotypes evaluated. The three indices selected about 9% of the hybrids. The selection of two experimental hybrids (89 and 495) and the use of selection indices resulted in larger estimates of selection gains. The Mulamba and Mock (1978), Smith (1936), andHazel (1943) indices had the highest percentage of gains on selection, and are therefore recommended for the selection of strawberry clones.

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“…Thus, the use of selection indexes is a promising alternative to obtain genotypes that bring together all favorable traits simultaneously, present higher performance and meet market demands (CRUZ et al, 2012). According to Neves et al (2011), the selection index is a multivariate technique that combines information on the various traits of agronomic interest with the genetic attributes of the population evaluated. In the selection index theory, a numerical value is obtained, which serves as an additional character, resulting from the combination of certain traits chosen for the performance of simultaneous selection.…”

Section: Introductionmentioning

confidence: 99%

“…Cruz (2006) suggests using data to estimate economic weights, and the use of the genetic variation coefficient is recommended. Several studies on sour passion fruit growing have evaluated economic weights using different selection indexes (OLIVEIRA et al, 2008;NEVES et al, 2011;.…”

Section: Introductionmentioning

confidence: 99%

Parametric and non-parametric indexes applied in the selection of sour passion fruit progenies

et al. 2018

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Several traits must be observed in the selection of sour passion fruit progenies. For such, selection indices could be used for gradually increasing the frequency of favorable genotypes for the set of the traits of interest. This study aimed to compare parametric and non-parametric selection indices to be used in the selection of passion fruit progenies and identify the best economic weights. Thus, 118 full-sib families and three controls were assessed for days regarding flowering, productivity in kg ha-1 year, fruit mass in g, number of fruits, average length of fruits in mm, average fruit diameter in mm, fruit shape, average shell thickness in mm, pulp yield, pulp color, total soluble solids, titratable acidity and SS/ATT ratio. The non-parametric selection indexes used to obtain genetic gains were Mulamba and Mock, genotype-ideotype distance, multiplicative and Elston. Smith and Hazel, Williams and Pesek and Baker parametric indexes were used, with different economic weights attributed. The Mulamba and Mock, genotype-ideotype distance nonparametric selection indexes and the Williams parametric index showed satisfactory and balanced gains. The genetic variation coefficient, genetic standard deviation and random weight economic weights provided higher gains for non-parametric selection indexes. Similar gains were obtained for parametric indexes, regardless of assigned weight, except for Pesek and Baker, whose genetic standard deviation provided the highest gain.

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Predição de ganhos, com diferentes índices de seleção, para características de frutos do maracujazeiro- amarelo

Cited by 9 publications

References 12 publications

<b>Prediction of genetic gains by selection indexes and REML/BLUP methodology in a population of sour passion fruit under recurrent selection

<b>Prediction of genetic gains by selection indexes and REML/BLUP methodology in a population of sour passion fruit under recurrent selection

Selection of experimental strawberry (Fragaria x ananassa) hybrids based on selection indices

Parametric and non-parametric indexes applied in the selection of sour passion fruit progenies

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