Research Article Selection of progenies of snap beans using mixed models (REML/BLUP)

Cruz, Derivaldo Pureza da; Moraes, Roberto S.; Gravina, Lília Marques; Daher, R.F.; Araújo, Kleberson Cordeiro; Vivas, Marcelo; Silva, C.Q.; Gomes, Andrea Barros Silva; Oliveira, Tâmara Rebecca Albuquerque de; Gravina, G.A.; Silva, V.B.

doi:10.4238/gmr16039914

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…Thus, the REML/Blup methodology is an important statistical tool, which can help breeders to conduct breeding programs during selection processes. Similar results demonstrating the potential for the REML/Blup technique were seen in studies on beans, by Sousa et al (2017), Gomes et al (2018), and Cruz et al (2018); and maize, by Arnhold et al (2009), Oliveira et al (2016), Entringer et al (2016), and Mendonça et al (2016), all confirming the results of this study. ) and mean grain mass, municipality of Jataí, Goiás State, Brazil, UFG, 2018.…”

Section: Predicted Genetic Values (μ + G)supporting

confidence: 91%

“…Furthermore, they facilitate the study of new methodologies that enhance their efficiency and lead to future research. As such, the estimate of genetic progress is a significant option for assessing breeding programs (Cruz et al, 2018). Hence, the goal of the current study is to select top cross hybrids of green maize for yield from partially inbred S 1 lines, based on genetic values by means of the REML/Blup method, and to estimate important genetic parameters for green maize breeding programs.…”

Section: Introductionmentioning

confidence: 99%

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Selection of top cross hybrids for green maize yield via REML/Blup method

et al. 2020

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The purpose of this study was to select top cross hybrids of green maize for yield, derived from partially inbred S1 lines based on genetic values using the REML/Blup method, and to estimate important genetic parameters for green maize breeding programs. The experiment was conducted in an experimental area located between 17º53´ S and 52º43´ W, 680 m altitude. The evaluation of 75 top cross hybrids was performed in a randomized block design with four replicates. A sample of five plants/ears was used in each plot to evaluate grain mass trait (MASS). For commercial ear yield trait (CEYIELD), evaluations were carried out for the total number of plants per plot. Hybrids were selected via BLUP procedures using the Selegen-REML/Blup program. Based on the Restricted Maximum Likelihood (REML), we estimated the coefficients of genetic and residual variation and components of variance, by which a genetic variability between the top cross hybrids was observed. This shows the possibility of successful selection for the traits under evaluation. The estimated accuracy for the selection of top cross hybrids was 0.81 for commercial ear yield and 0.64 for grain mass, pointing to high and moderate precision levels for CEYIELD and MASS traits, respectively, corroborating the possibility of success in selecting top cross hybrids based on the CEYIELD trait. The predicted genetic gain from the selection was 20.12%, for CEYIELD, and 6.10%, for MASS. Therefore, the REML/Blup statistical tool was efficient in selecting top cross hybrids of green maize, providing significant genetic gains for the traits under evaluation. There was evidence that hybrids 19 and 48 were distinguished from others because of the high genetic effects obtained for the commercial ear yield and grain mass weight.

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Section: Predicted Genetic Values (μ + G)supporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Selection of top cross hybrids for green maize yield via REML/Blup method

et al. 2020

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“…Under these conditions, the selection of superior genotypes is possible, although more costly. Cruz et al (2018) and Souza et al (2018) observed similar results, estimating values of low magnitude and lower than the experimental coefficient of variation for green bean and black bean genotypes, respectively.…”

Section: Resultssupporting

confidence: 55%

Adaptability and stability of black and purple bean genotypes

Nascimento

Daher

Santos

et al. 2022

Pesqui. Agropecu. Trop.

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Selecting the best genotypes is difficult, due to the genotype × environment interaction effect. When this interaction is present, the study of adaptability and stability can provide the selection of the best genotypes. Thus, the selected genotypes should associate high yield, adaptability to diferent environmental conditions, as well as production stability. This study aimed to evaluate and select black and purple bean precultivars based on adaptability, stability and grain yield. The parameters were estimated via mixed models and the selection using the Harmonic Mean of the Relative Performance of Predicted Genetic Values (HMRPGV) method. The environments infuenced the phenotypic expression of the black and purple bean genotypes, characterizing a specific adaptability. The black bean genotypes BRS Esteio, BRS FP 403, CNFP 15681 and CNFP 16459 and the purple bean inbred lines CNFRx 16340, CNFRx 16346 and CNFRx 16353 showed the best performance, when considering, simultaneously, grain yield, adaptability and stability. The HMRPGV method provided an optimized selection of genotypes with high grain yield, predictability and responsiveness to environmental improvements, and should be used as a selection strategy for common bean genotypes for commercial growing.

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“…In the disconnected factorial design, the formation of small groups of crossings, usually 3 × 3 or 4 × 4, is recommended, thus maximizing the number of parents to be evaluated in a single experiment (Burdon & Buijtenen, 1990). Unbalanced data are common in these cases, so to obtain reliable estimates of variance components and genetic and genotypic values, the restricted maximum likelihood (REML) and best linear unbiased prediction (BLUP) methodologies are considered the best statistical tools (Cruz et al, 2018;Piepho, Möhring, Melchinger, & Büchse, 2008;Resende, 2002;Resende, 2015). Piepho et al (2008) suggested the application of BLUP in plant breeding along with the inclusion of pedigree information to explore genetic correlations between relatives and obtain the most accurate estimates.…”

Section: Introductionmentioning

confidence: 99%

Establishment of gene pools for systematic heterosis exploitation in sugarcane breeding

et al. 2020

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In sugarcane (Saccharum spp) breeding, despite the potential use of reciprocal recurrent selection (RRS) to explore both nonadditive and additive effects for economic value traits, to date, no publications have targeted obtaining heterotic groups to support this selection strategy. The aim of this study was to (a) to identify sugarcane gene pools to effectively explore nonadditive and additive genetic effects via reciprocal recurrent selection, (b) estimate genetic parameters, and (c) select parents and cross combinations. Seventy-nine sugarcane families were obtained from crossing 38 parents in a crossing scheme known as disconnected factorial design. The families were evaluated in randomized complete block design with five replicates. The statistical genetic analysis was performed with linear mixed models through restricted maximum likelihood/best linear unbiased predictor. The results revealed that nonadditive effects were predominant in explaining genetic variation for cane yield (t ha −1), pol yield (t ha −1), and fiber yield (t ha −1). For brix, fiber and corrected Pol (PCC) traits, additive effects were predominant. Estimates of specific combining ability and pedigree information allowed the establishment of gene pools for systematic heterosis exploitation through RRS breeding efforts. The prediction of the additive genetic values of parents for selection based on the progeny's behavior obtained via disconnected factorial design is an alternative that should be used in sugarcane breeding programs.

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Research Article Selection of progenies of snap beans using mixed models (REML/BLUP)

Cited by 3 publications

References 7 publications

Selection of top cross hybrids for green maize yield via REML/Blup method

Selection of top cross hybrids for green maize yield via REML/Blup method

Adaptability and stability of black and purple bean genotypes

Establishment of gene pools for systematic heterosis exploitation in sugarcane breeding

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