Seleção de clones de batata-doce pelo procedimento REML/BLUP

Borges, Vanderley; Ferreira, Paulo Vanderlei; Soares, Laílton; Santos, Gilcilene Martins; Santos, Amanda Maria Marcelino

doi:10.4025/actasciagron.v32i4.4837

Cited by 47 publications

(38 citation statements)

References 14 publications

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“…Furthermore, besides the different magnitudes, there was the possibility of genetic gains after the selection of the best genotypes (Table 5). Although the PSW trait showed high CVg, its h g 2 was low, with intermediate magnitude for selective (Borges et al, 2010). Among the methods of prediction, BLUP has the ability to maximize selective accuracy (Resende, 2002;Furlani et al, 2005).…”

Section: Resultsmentioning

confidence: 99%

“…The likelihood radio test (LTR) was also used, as described by . Deviances were obtained using the model with and without effects, by subtracting the deviance obtained in the complete model from the model without effects and by comparing it with the qui-square test, at 5% probability (Borges et al, 2010). Descriptive statistics and correlations among traits were estimated, and significance tests were performed using the t test, at 5% probability.…”

Section: Methodsmentioning

confidence: 99%

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Genetic parameters and agronomic evaluation of cassava genotypes

Silva

Moura²,

Neto³

et al. 2016

Pesq. agropec. bras.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Genetic parameters and agronomic evaluation of cassava genotypes

Silva

Moura²,

Neto³

et al. 2016

Pesq. agropec. bras.

View full text Add to dashboard Cite

show abstract

“…A realização de inferências sobre materiais, em fase de lançamento de cultivares, deve recair sobre os verdadeiros valores genotípicos, ou seja, basearem-se em médias genotípicas e não fenotípicas (Borges et al, 2010). Segundo Resende (2001), a estruturação dos procedimentos de seleção, os quais são responsáveis pelo sucesso dos programas de melhoramento genético, baseia-se na estimação dos componentes de variância e na predição dos valores genéticos dos candidatos à seleção.…”

Section: Introductionunclassified

Ganho genético avaliado com índices de seleção e com REML/Blup em milho-pipoca

Freitas

Amaral

Pena

et al. 2013

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi comparar quatro índices de seleção e o método REML/Blup na avaliação de ganhos genéticos preditos das características de interesse ao programa de melhoramento do milho-pipoca UENF 14. Foram avaliadas 200 progênies de irmãos-completos, em uma safra, em dois ambientes (regiões Norte e Noroeste do Estado do Rio de Janeiro), com duas repetições, o que totalizou 800 observações. Avaliaram-se as características altura média de plantas, altura média de inserção da primeira espiga, estande final, tombamento, diâmetro de colmo, prolificidade, rendimento e capacidade de expansão dos grãos. Entre os índices de seleção testados, o de Mulamba & Mock proporcionou os melhores resultados para a seleção das progênies de irmãos-completos. O método REML/Blup mostrou-se muito eficiente, tendo selecionado progênies com desempenhos relativos elevados e com ganhos genéticos preditos melhores que os dos índices de seleção testados. As progênies selecionadas com uso do método REML/Blup, para maior rendimento de grãos, não são as mesmas selecionadas para maior capacidade de expansão. O índice de Mulamba & Mock e o método REML/Blup proporcionam os melhores ganhos preditos para a população UENF 14.Termos para indexação: Zea mays, correlação genética, modelos mistos, seleção recorrente, seleção simultânea. Genetic gain evaluated with selection indices and with REML/Blup in popcornAbstract -The objective of this work was to compare four selection indices and the REML/Blup method in the evaluation of the predicted genetic gains for the characteristics of interest to the breeding program of the UENF 14 popcorn. Two hundred full-sib progenies were evaluated in one season, in two locations (North and Northwest Regions of the state of Rio de Janeiro, Brazil), with two replicates, totaling 800 observations. The characteristics evaluated were average plant height, average height of first ear insertion, final stand, tipping, stem diameter, prolificacy, grain yield and popping expansion. Among the selection indices tested, Mulamba & Mock's provided the best results for selection of full-sib progenies. The REML/Blup method proved to be very efficient, selecting progenies with high relative performance and better predicted genetic gains than those of the selection indices tested. The progenies selected using the REML/Blup method, for highest grain yield, are not the same as those selected for higher popping expansion. The Mulamba & Mock index and the REML/ Blup method provide the best predicted gains for the UENF 14 population.

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“…In fact, mixed models with prediction of genotypic values have been used in several studies, for perennial, semi-perennial as well as annual plants (Oliveira et al 2005, Carbonnel et al 2007, Bastos et al 2007, Piepho et al 2007, Pedrozo et al 2008, Arnhold et al 2009, Maia et al 2009, Borges et al 2010, Maia et al 2011). Piepho et al (2007) discussed the usefulness of linear mixed models in the advanced stages of cultivar selection (i.e., in VCU trials, considering tests in multiple environments).…”

Section: Introductionmentioning

confidence: 99%

“…The prediction of random effects of the mixed model depends on the accuracy of the variance component estimates, which are preferably estimated by the REML (Restricted Maximum Likelihood) procedure. According to Borges et al (2010), REML / BLUP methods are nowadays the most accurate methods for analyses in a wide range of applications, advantageously replacing the method of analysis of variance, especially in cases of experiments with a certain degrees of imbalance.…”

Section: Introductionmentioning

confidence: 99%