Authors: R.M. Pacheco, J.B. Duarte, R.G. Branquinho and P.I.D.M. Souza
Stratification of environments is a strategy to capitalize genotype x environment (GxE) interaction, which can optimize the process of assessment and cultivar recommendation, increasing productivity in a target environmental population. The objective of this study was to assess environmental stratification methods based on the.. Read More»
Authors: B.Q.V. Machado, A.P.O. Nogueira, O.T. Hamawaki, G.F. Rezende, G.L. Jorge, I.C. Silveira, L.A. Medeiros, R.L. Hamawaki and C.D.L. Hamawaki
The goals of this research were to evaluate the phenotypic and genotypic correlations between agronomic traits, to perform path analysis, having as main character grain yield, and to identify indirect selection criteria for grain yield. The experiment was carried out in an experimental area located at Capim Branco farm, which .. Read More»
Authors: M.M. Oliveira, L.B. Sousa, M.C. Reis, E.G. Silva Junior, D.B.O. Cardoso, O.T. Hamawaki and A.P.O. Nogueira
The genetic diversity study has paramount importance in breeding programs; hence, it allows selection and choice of the parental genetic divergence, which have the agronomic traits desired by the breeder. This study aimed to characterize the genetic divergence between 24 soybean genotypes through their agronomic traits, using .. Read More»
Authors: G.A. Barros-Carvalho1,2, A.R. Paschoal3, F.C. Marcelino-GuimarĂ?£es1 and M. Hungria1
MicroRNAs (miRNAs) are small molecules, noncoding proteins that are involved in many biological processes, especially in plants; among these processes is nodulation in the legume. Biological nitrogen fixation is a key process, with critical importance to the soybean crop. This study aimed to identify the potential of novel miRNAs to act during the root no.. Read More»
Authors: L.B. Sousa, O.T. Hamawaki, A.P.O. Nogueira, R.O. Batista, V.M. Oliveira and R.L. Hamawaki
In the final phases of new soybean cultivar development, lines are cultivated in several locations across multiple seasons with the intention of identifying and selecting superior genotypes for quantitative traits. In this context, this study aimed to study the genotype-by-environment interaction for the trait grain yield (kg/.. Read More»
Authors: E.M. Pereira, F.M. Silva, B.H.P. Val, A. Pizolato Neto, A.O. Mauro,C.C. Martins and S.H. UnĂ?ªda-Trevisoli
The objective of this study was to evaluate the relationship between agronomic traits and physiological traits of seeds in segregating soybean populations by canonical correlation analysis. Seven populations and two commercial cultivars in three generations were used: F3 plants and F4 seeds; F4 plants and F5 seeds, and F4 seed.. Read More»
Authors: J. Zhang, D. Yao, P. Wang, S.Y. Guan, J. Ma and Y.P. Fu
Here, we compare the molecular mechanism of soybean heterosis through the differential expression of basic cloning. Specifically, we cloned 22 differentially expressed cDNA fragments from hybrid combinations of Jilin 38 x EXP (which had obvious yield advantages) and their parents. In addition, we compared the homology of these.. Read More»
Authors: S.A.G. Dantas, F.C.S. Silva, L.J. Silva and F.L. Silva
Water deficit is the main reason for instability in the context of soybean culture. The development of strategies for the selection of more tolerant genotypes is necessary. These strategies include the use of polyethylene glycol 6000 solutions (PEG-6000) for conducting the germination test under conditions of water restriction.. Read More»
Authors: K.B. Silva, A.T. Bruzi, E.V. Zambiazzi, I.O. Soares, J.L.A.R. Pereira and M.L.M. Carvalho
This study aimed at verifying the adaptability and stability of soybean cultivars, considering the grain yield and quality of seeds, adopting univariate and multivariate approaches. The experiments were conducted in two crops, three environments, in 2013/2014 and 2014/2015 crop seasons, in the county of Inconfidentes, Lavras, .. Read More»
Authors: D.C. Leite1, J.B. Pinheiro2, J.B. Campos2, A.O. Di Mauro1 and S.H. UnĂ?ªda-Trevisoli1
The present study was undertaken to detect and map the quantitative trait loci (QTL) related to soybean oil content. We used 244 progenies derived from a bi-parental cross of the Lineage 69 (from Universidade Estadual Paulista “Júlio de Mesquita Filho”/Faculdade de Ciências Agrárias e Veterinárias - Breeding Program).. Read More»