GENOTYPE BY ENVIRONMENT INTERACTION IN GREEN COWPEA ANALYZED VIA MIXED MODELS

Genotype by environment interaction for 450-day weight of Nelore cattle analyzed by reaction norm models

Genotype by environment interactions (GEI) have attracted increasing attention in tropical breeding programs because of the variety of production systems involved. In this work, we assessed GEI in 450-day adjusted weight (W450) Nelore cattle from 366 Brazilian herds by comparing traditional univariate single-environment model analysis (UM) and random regression first order reaction norm models ...

Genotype - - Environment Interaction

T HE experiment involved 48 pairs of male Holstein fraternal twin calves. Two methods of raising calves were contrasted: (A) High fat (20%) and protein (20%) vealer ration fed from 3 days of age to a market weight of 128 kilograms. (B) The same vealer was fed up to a live weight of 56.7 kg, followed by pelleted grain mixture fed ad libitum and hay offered to a maximum of 0.9 kg per day. Twin pa...

Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models

The phenomenon of genotype × environment (G × E) interaction in plant breeding decreases selection accuracy, thereby negatively affecting genetic gains. Several genomic prediction models incorporating G × E have been recently developed and used in genomic selection of plant breeding programs. Genomic prediction models for assessing multi-environment G × E interaction are extensions of a single-...

Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models.

In genomic selection (GS), genotype × environment interaction (G × E) can be modeled by a marker × environment interaction (M × E). The G × E may be modeled through a linear kernel or a nonlinear (Gaussian) kernel. In this study, we propose using two nonlinear Gaussian kernels: the reproducing kernel Hilbert space with kernel averaging (RKHS KA) and the Gaussian kernel with the bandwidth estima...

Genotype x environment interaction in the regional testing of safflower cultivars