APLICAÇÃO DA METODOLOGIA DE MODELOS MISTOS (REML/BLUP) NA ESTIMAÇÃO DE COMPONENTES DE VARIÂNCIA E PREDIÇÃO DE VALORES GENÉTICOS EM PUPUNHEIRA (Bactris gasipaes)

Neto, J. T. de Farias; Resende, Marcos Deon Vilela de

doi:10.1590/s0100-29452001000200024

Cited by 28 publications

(22 citation statements)

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“…progenies grown in EMBRAPA Western Amazon in Manaus, Amaazonas, analyzed during 5 years. Farias Neto and Resende (2001) selected 31 and 53 genotypes for a short and a long peach palm breeding program, respectively. This type of selection is reflected in the effective population size (Ne).…”

Section: Resultsmentioning

confidence: 99%

“…Then, it becomes necessary to use estimation methods that may fit certain experimental conditions and unbalanced data (Farias Neto & Resende, 2001;Farias Neto et al, 2007;Farias Neto, Clement, & Resende, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…The restricted maximum likelihood/best linear unbiased prediction procedure (REML / BLUP) has been successfully used in peach palm breeding (Farias Neto & Resende, 2001). According to Resende (2000), the prediction of additive genetic values and genotypic values through mixed model values is essential.…”

Section: Introductionmentioning

confidence: 99%

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<b>Genetic variability and progeny selection of peach palm via mixed models (REML / BLUP)

et al. 2017

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ABSTRACT. Heart of palm harvesting and exploitation has reduced the natural reserves of açaí and juçara; hence, the peach palm is an excellent option as source of heart of palm that can reduce the pressure on these two species. The peach palm has high tillering and no post-harvest oxidation. An experiment in a randomized block design with 72 progenies of peach palm, 36 replications and a single tree plot was performed for five years at the experimental field of Embrapa in the Western Amazon. Genetic parameters were estimated using two mixed models, one based on progeny means and the second on joint information from crops. A repeatability analysis, genotype selection, and progeny selection were performed; the Mulamba and Mock selection index was determined; and Tocher's clustering method was applied. The repeatability analysis revealed the existence of genetic variability, low repeatability, which ranged from 0.3307 to 0.6698 for five years. The analysis performed through the progeny means showed a heritability that varied from 51% to 23% for in all variables; the clustering revealed two groups. The progeny selection should be the main selection strategy, and crosses of superior progenies of different groups should be emphasized.Keywords: heart of palm, perennial breeding, amazon.Variabilidade genética e seleção de progênies de pupunheira via modelos mistos (REML/BLUP) RESUMO. A coleta de palmito via extrativismo vem reduzindo as reservas naturais de açaí e juçara, sendo o palmito de pupunha uma excelente opção para obtenção de palmito plantado, pois além de diminuir a pressão da exploração extrativista sobre essas duas espécies, possui alto grau de perfilhamento e não apresenta oxidação pós-colheita. Foram testadas 72 progênies de pupunheira, em cinco anos, no campo experimental da Embrapa Amazônia Ocidental, em delineamento blocos casualizados com 36 repetições e uma planta por parcela. Os parâmetros genéticos foram estimados através de modelos mistos (REML/BLUP), foram também realizadas análises de repetibilidade, seleção de progênies, seleção de indivíduos por meio de BLUP individual, índice de seleção Mulamba-Rank e agrupamento de otimização de Tocher. As análises realizadas revelaram a existência de variabilidade genética, baixa repetibilidade, variando de 0,3307 até 0,6698 para cinco anos e herdabilidades variando de 51% a 23% para seleção de progênies nas variáveis analisadas, o agrupamento revelou dois grupos distintos. A seleção de progênies deve ser a principal estratégia de seleção e cruzamentos entre progênies superiores de grupos diferentes devem ser enfatizados.Palavras-chave: palmito, melhoramento de perenes, amazônia.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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<b>Genetic variability and progeny selection of peach palm via mixed models (REML / BLUP)

et al. 2017

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“…In this study, the heritability estimates ranged from intermediate to low (Table 2) (Resende, 2002). A possible cause for the low heritability estimates may be the restricted genetic base of the population used in the study (Farias Neto and Resende, 2001;Almeida et al, 2014), since most of the genotypes originated from full-or half-sib families (Table 1). Resende (2002) highlighted the importance of using information of progenies and parents, for which there is much information available, which allows increasing the selective accuracy of the trait from low to moderate.…”

Section: Genetic Evaluation Of Traits Used For the Aimentioning

confidence: 99%

Selection index using the graphical area applied to sugarcane breeding

et al. 2016

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ABSTRACT. This study aimed to develop a multivariate selection index based on the graphical area of a polygon formed by standardized values, also known as radar chart. This methodology may be used to assist selection of superior genotypes in sugarcane breeding programs. Seven technological traits in 37 sugarcane genotypes were evaluated. An area index (AI) was constructed and the resulting polygon areas were used to rank genotypes under selection. In this study, we propose the use of restricted maximum likelihood to estimate genetic parameters and mixed model equations to predict genotypic and breeding values. The area of each polygon was calculated for phenotypic, genotypic, and estimated breeding values. Thereby, the genotypes with larger area can be selected based on a detailed a posteriori evaluation of the radar charts. The proposed AI can be adjusted based on the breeders' specific interests, it is perfectly useful in other crops, and may also be applied to studies on genotype-environment interactions. Moreover, AI is a powerful tool that can evaluate trait stability of genotypes based on slight differences in the area formed by each genotype. Hence, this method is easy to apply and shows great potential for use in sugarcane breeding programs as well as in other breeding programs.

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“…O procedimento BLUP tem sido usado no melhoramento de palmáceas para a seleção de progênies e indivíduos em pupunheira (Farias Neto & Resende, 2001 ) e palmeira-real (Bovi et al, 2003;2004) e para a seleção de cruzamentos em dendê (Purba et al, 2001).…”

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Seleção genética em progênies híbridas de coqueiro

et al. 2009

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RESUMO -O presente trabalho objetivou realizar a seleção genética de indivíduos híbridos superiores de coqueiro a partir da avaliação de 1.080 plantas para produção de frutos e de albúmen fresco, visando a ao fornecimento de sementes e/ou clones melhorados para plantio no Pará. Empregaram-se o delineamento experimental de blocos ao acaso e os métodos Blupis e Blupis-Biefeitos, visando identificar em quais parcelas estão os melhores indivíduos e quantos indivíduos devem ser selecionados de cada parcela. Foram avaliados os caracteres número de frutos (NF), peso de albúmen fresco por fruto (PAFF) e peso de albúmen fresco por planta (PAFP), em nove safras anuais. As estimativas dos coeficientes de determinação genética entre médias de progênies variaram de 81,12% a 97,38%, propiciando acurácias seletivas de 90,07% a 98,68% para a seleção entre famílias híbridas. A interação famílias x safras foi de grande magnitude para os caracteres NF e PAFP, conforme revelado pelas baixas (40,77% a 63,36%) correlações genotípicas através das safras. O procedimento Blupis -Biefeitos indicou a seleção de 66 plantas, sendo 48 da família PB113 e 18 da família PB111, propiciando intensidade de seleção de 6,1% e ganho genético de 9,95%. Termos para indexação: Cocos nucifera, BLUPIS, BLUP/REML, seleção, modelos mistos. GENETIC SELECTION IN HYBRID PROGENIES OF COCONUT PALMABSTRACT -The present study aimed the genetic selection of superior hybrid individuals of coconut palm from the evaluation of 1080 plants for the production of fruits and fresh albumen, aiming the supply of improved seeds and/or clones for plantation in Pará. The experimental design was randomized blocks and the methods Blupis and Blupis-Biefeitos were used to identify in which plots were the best individuals and how many individuals had to be selected in each plot. The characters evaluated were: number of fruits (NF), weight of fresh albumen per fruit (WFAF) and weight of fresh albumen for plant (WAFP), in nine annual harvests. The estimates of the coefficients of genetic determination between averages of progenies varied from 81.12% to 97.38%, promoting a selective accuracy from 90.07% to 98.68% for the selection among hybrid families. The interaction families x harvests was of great magnitude for the characters NF and WFAF, as revealed by the low (40.77% 63.36%) genotypic correlations throughout the harvests. The BlupisBiefeitos procedure indicated the selection of 66 plants, being 48 from the PB113 family and 18 from the PB111 family, propitiating a selection intensity of 6.1% and a genetic gain of 9.95%.

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APLICAÇÃO DA METODOLOGIA DE MODELOS MISTOS (REML/BLUP) NA ESTIMAÇÃO DE COMPONENTES DE VARIÂNCIA E PREDIÇÃO DE VALORES GENÉTICOS EM PUPUNHEIRA (Bactris gasipaes)

Cited by 28 publications

References 0 publications

<b>Genetic variability and progeny selection of peach palm via mixed models (REML / BLUP)

<b>Genetic variability and progeny selection of peach palm via mixed models (REML / BLUP)

Selection index using the graphical area applied to sugarcane breeding

Seleção genética em progênies híbridas de coqueiro

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