In this study, we aimed to estimate the relationship between some common bean traits using molecular markers and applying QTL mapping. We used a segregating population derived from a crossing between common bean cultivars, Jalo and Small White, in the Southern State of Minas Gerais. Of F2 plants, 190 F2:3 progenies were generated. Phenotypic measures related to the .. Read More»
Genet. Mol. Res. 16(3): gmr16039686
DOI: 10.4238/gmr16039686
We aimed to identify simple sequence repeat (SSR) markers linked to quantitative trait loci (QTLs) associated with white mold resistance in a segregating population derived from a cross between common bean cultivars Jalo and Small White, in the Southern State of Minas Gerais. Parents were crossed to obtain the F2 generation of 190 plants. From these, F2:3 and F2:4 progenies were obtained for ph.. Read More»
Genet. Mol. Res. 15(3): gmr.15038724
DOI: 10.4238/gmr.15038724
In many species, low levels of polymorphism prevent the assembly of linkage maps that are used to identify genetic markers related to the expression of quantitative trait loci (QTLs). This study compared two methods of locating QTLs in association studies that do not require a previous estimation of linkage maps. Method I (MI) was a Bayesian multiple marker regression and Method II (MII) combin.. Read More»
Genet. Mol. Res. 14(3): http://dx.doi.org/2015.September.25.13
DOI: http://dx.doi.org/10.4238/2015.September.25.13
In this study, we identified simple sequence repeat, amplified fragment length polymorphism, and sequence-related amplified polymorphism markers linked to quantitative trait loci (QTLs) for resistance to white mold disease in common bean progenies derived from a cross between lines CNFC 9506 and RP-2, evaluated using the oxalic acid test and using Bayesian analysis. DNA was extracted .. Read More»
Genet. Mol. Res. 14(1): 2015.February.6.16
DOI: 10.4238/2015.February.6.16
This study aimed to analyze the robustness of mixed models for the study of genotype-environment interactions (G x E). Simulated unbalancing of real data was used to determine if the method could predict missing genotypes and select stable genotypes. Data from multi-environment trials containing 55 maize hybrids, collected during the 2005-2006 harvest season, were used in this study. Analyses w.. Read More»
Genet. Mol. Res. 14(4): 2015.November.13.10
DOI: 10.4238/2015.November.13.10
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