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| Silva,Alysson Jalles da; Sanches,Adhemar; Andrade,Andréa Carla Bastos; Oliveira,Gustavo Hugo Ferreira de; Mauro,Antonio Orlando Di. |
| Abstract: The objective of this work was to compare the Bayesian approach and the frequentist methods to estimate means and genetic parameters in soybean multienvironment trials. Fifty-one soybean lines and four controls were evaluated in a randomized complete block design, in six environments, with three replicates, and soybean grain yield was determined. The half-normal prior and uniform distributions were used in combination with parameters obtained from data of 18 genotypes collected in previous and related experiments. The genotypic values of the genotypes of high- and low-grain yield, clustered by the Bayesian approach, differed from the means obtained by the frequentist inference. Soybean assessed through the Bayesian approach showed genetic... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Glycine max; Mathematical modeling; Prior distribution in plant breeding. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018001001093 |
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| Leite,Wallace de Sousa; Unêda-Trevisoli,Sandra Helena; Silva,Fabiana Mota da; Silva,Alysson Jalles da; Mauro,Antonio Orlando Di. |
| ABSTRACT The selection of superior genotypes of soybean is a complex process, thus exploratory multivariate techniques can be applied to select genotypes analyzing the agronomic traits altogether, increasing the chance of success of a breeding program. Thus, the objective of this study was to select soybean genotypes carrying the RR gene with good agronomical performance through of multivariate analysis and selection index and identify those traits that influence, also verifying the agreement of multivariate techniques and selection index in the selection process. The experiment was conducted in an increased block experimental being evaluated 227 genotypes of F5 generation, which 85 of those were detected to be glyphosate-resistant by PCR. The following... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Glycine max; Clustering analysis; Principal components; Selection gain; Grain Yield. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000300491 |
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