L.M. Gravina
Prediction of genetic gains by selection indices using mixed models in elephant grass for energy purposes
Genetically improved cultivars of elephant grass need to be adapted to different ecosystems with a faster growth speed and lower seasonality of biomass production over the year. This study aimed to use selection indices using mixed models (REML/BLUP) for selecting families and progenies within full-sib families of elephant grass (Pennisetum purpureum) for biomass pr.. Read More»
Genet. Mol. Res. 16(3): gmr16039781
DOI: 10.4238/gmr16039781
Early selection of sugarcane using path analysis
The aim of this study was to analyze sugarcane (Saccharum officinarum) biometric and technological data, obtained at different timepoints, using path analysis. The experiment was conducted in União, PI, Brazil, and evaluated 12 sugarcane genotypes (RB036066, RB9438, RB935744, RB021764, RB021754, RB021534, RB966229, RB977540, RB863129, and RB987935, and the va.. Read More»
Genet. Mol. Res. 16(1): gmr16019038
DOI: 10.4238/gmr16019038
Selection of progenies of snap beans using mixed models (REML/BLUP)
The purpose of this research was to select the development of superior genotypes of snap beans adapted to edaphoclimatic conditions of the North and Northwest of Rio de Janeiro State, Brazil, applying the mixed model methodology. The test was installed and carried out in the experimental area of the Instituto Federal Fluminense (IFF), located in the municipality of .. Read More»
Genet. Mol. Res. 17(2): gmr16039914
DOI: 10.4238/gmr16039914
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