Estimação e predição por modelo linear misto com ênfase na ordenação de médias de tratamentos genéticos

Duarte, João Batista; Vencovsky, Roland

doi:10.1590/s0103-90162001000100017

Cited by 35 publications

(31 citation statements)

References 18 publications

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“…O que se obtém da análise de modelos mistos é um ordenamento decrescente dos genótipos, de acordo com seus valores genéticos (Duarte & Vencovsky, 2001) corrigidos e penalizados, para a ocorrência de efeitos ambientais.…”

Section: Resultsunclassified

Estimação de parâmetros genéticos e predição de valor genético aditivo de trigo utilizando modelos mistos

Pimentel

Guimarães

Souza

et al. 2014

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi estimar os parâmetros genéticos e predizer o valor genético de populações e indivíduos oriundos de populações segregantes de trigo, com o uso da metodologia de modelos mistos ("restricted maximum likelihood"/"best linear unbiased prediction", REML/BLUP). Trinta e seis populações segregantes de trigo e quatro controles foram avaliados na geração F 3 , em delineamento de blocos ao acaso, com informações de indivíduo retiradas de dentro das parcelas. Os caracteres avaliados foram: produção de grãos, índice de colheita, número de perfilhos e altura de planta. Observou-se a existência de variabilidade genética entre populações em todos os caracteres avaliados. A herdabilidade média variou de 39,15 a 92,78%, e a acurácia, de 62,57 a 96,32%, na seleção de populações. A herdabilidade individual no sentido restrito foi baixa dentro das populações, em todos os caracteres. A acurácia na seleção individual apresentou magnitude média, quanto ao caráter altura de plantas, e baixa quanto aos demais caracteres. A herdabilidade individual contribui para maior ganho nos caracteres altura de planta e índice de colheita com o uso do BLUP individual, em comparação ao BLUP de populações. As populações segregantes Embrapa22/BRS207, Embrapa22/ VI98053, Embrapa22/IVI01041, BRS254/BRS207, BRS254/VI98053, BRS254/UFVT1Pioneiro e BRS264/ BRS207 destacam-se por apresentar valor genético aditivo elevado em dois ou mais caracteres.Termos para indexação: Triticum aestivum, análise de deviance, dados desbalanceados, estratégias de melhoramento, população segregante, REML/BLUP. Estimation of genetic parameters and prediction of additive genetic value for wheat by mixed modelsAbstract -The objective of this work was to estimate the genetic parameters and to predict the genotypic value of populations and individuals from wheat segregating populations, using the methodology of mixed models (restricted maximum likelihood/best linear unbiased prediction, REML/BLUP). Thirty-six wheat segregating populations and four controls were evaluated in the F 3 generation, in a randomized complete block design, with individual information taken from within the plots. The evaluated traits were: grain yield, harvest index, number of tillers, and plant height. Genetic variability between populations was observed for all evaluated traits. The mean heritability varied from 39.15 to 92.78%, and accuracy varied from 62.57 to 96.32% in the selection of populations. The narrow-sense individual heritability was low within populations for all traits. The accuracy for individual selection had a moderate value for plant height, and low values for the other traits. Individual heritability contributes to a greater gain for the traits plant height and harvest index with the use of individual BLUP, in comparison to population BLUP. The segregating populations Embrapa22/BRS207, Embrapa22/VI98053, Embrapa22/IVI01041, BRS254/BRS207, BRS254/VI98053, BRS254/UFVT1Pioneiro, and BRS264/BRS207 stand out with high additive genetic value, for two or mor...

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Section: Resultsunclassified

Estimação de parâmetros genéticos e predição de valor genético aditivo de trigo utilizando modelos mistos

Pimentel

Guimarães

Souza

et al. 2014

Pesq. agropec. bras.

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“…At the end of the second millennium, pioneering works in Brazil applied to plant breeding were carried out in the field of mixed linear models fitted under the frequentist approach via REML/BLUP (Resende et al 1993, 1996, Bueno Filho and Vencovsky 2000, Duarte and Vencovsky 2001, and the Bayesian approach via Gibbs sampler (Resende 1997, Resende and Rosa-Perez 1999. These models included random regressions for longitudinal and multivariate data (Resende 1997, Resende andRosa-Perez 1999), non-linear or generalized linear models for categorical variables , spatial analysis (Resende and Sturion 2001), factor analytical mixed models for multivariate analysis and genotype x environment interaction Thompson 2003, 2004), and competition or associative models of social interaction Thompson 2003, Resende et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Software Selegen-REML/BLUP: a useful tool for plant breeding

Resende

2016

Crop Breed. Appl. Biotechnol.

445

404

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“…The prediction of genetic values using linear mixed models using BLUP and REML procedures, allows for more accurate estimates of the mean and variance components considering the fixed and random effects, allowing for selection based on free genetic values of the variability portions that results from experimental or environmental factors VENCOVSKY, 2001;RESENDE, 2004;RESENDE, DUARTE, 2007;PIEPHO et al, 2007). In this context, the mixed model of repeatability considers the correlations between measurements of a particular character for the same individual at different times and, in the case of cajuí, it represents measurements of fruit of genotypes evaluated in different crops, which permits minimizing the temporary effects of the environment.…”

Section: Introductionmentioning

confidence: 99%

Heritability, Repeatability, and Genetic Gains in a Improvement Population of Cajuízeiro

et al. 2016

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-Cajuí (Anacardium spp) is an endemic fruit trees species in the Northeastern region of Brazil. Thus, this trial aimed to estimate the repeatability coefficients of the agrotechnological variables and to predict the genetic gains of a cajuí improvement population located at the Embrapa Meio-Norte. The data of twelve variables from every crop were evaluated using Selegen-REML/BLUP. The variables were ordered accordingly: V1 fruit mass (FM, in g), V2 peduncle mass (PM, in g), V3 chestnut mass (CM in g), V4 basal diameter (BD in cm), V5 apical diameter (AD in cm), V6 fruit length (FL in cm), V7 firmness of endosperm (FIRM, in N), V8 content of vitamin C (PVC in %), V9 total soluble solids (TSS in %), V10 pH of endosperm (pH), V11 total titratable acidity (TTA in %), and V12 relation TSS/TTA (undimensional). The fruit mass and its vitamin C contents can be estimated from measures of the fruit basal diameter and/or peduncle length, which are easy to be taken and measured experimentally. The medium and high estimates of the repeatability coefficient allowed for the early selection of the genotype 4 with accuracy from the two measures (years). The genotype 4 showed the best prediction means for physical and technological attributes and may be considered a possible candidate for asexual reproduction on crops with double purpose (fresh consumption and industrial).

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Estimação e predição por modelo linear misto com ênfase na ordenação de médias de tratamentos genéticos

Cited by 35 publications

References 18 publications

Estimação de parâmetros genéticos e predição de valor genético aditivo de trigo utilizando modelos mistos

Estimação de parâmetros genéticos e predição de valor genético aditivo de trigo utilizando modelos mistos

Software Selegen-REML/BLUP: a useful tool for plant breeding

Heritability, Repeatability, and Genetic Gains in a Improvement Population of Cajuízeiro

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