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Oliveira,Tâmara Rebecca Albuquerque de; Gravina,Geraldo de Amaral; Oliveira,Gustavo Hugo Ferreira de; Araújo,Kleberson Cordeiro; Araújo,Lanusse Cordeiro de; Daher,Rogério Figueiredo; Vivas,Marcelo; Gravina,Lilia Marques; Cruz,Derivaldo Pureza da. |
ABSTRACT: The green bean (Phaseolus vulgaris L.) is a nutrient-rich vegetable much appreciated; although, little studied, in Brazil. The aim of the current study was to investigate the nature of traits of interest, as well as to select plants for the green bean breeding program based on genotype vs. trait biplot analysis. The experiment followed a randomized block design, with 4 repetitions and 17 genotypes. Analysis of variance, principal component analysis and biplot charts were performed to analyze the number of pods per plant, the number of seeds per pod, the number of seeds per plant, seed weight per plant, 100-seed weight, as well as grain and pod yields. The analysis of variance showed genetic variability between genotypes. Grain yield, pod yield... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Phaseolus vulgaris L.; Multivariate analysis; Genotypes x traits.. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000600351 |
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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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