Results 61 to 70 of about 9,641,170 (252)
Genotype x Environment Interaction and Stability Parameters in Safflower
G x E interaction and stability parameters of 18 genotypes of safflower under three diverse environments for yield and its related traits were studied. It was observed that G x E interaction was significant for all the traits studied.
Balakumbahan R, Ravindran C, Kabilan M
doaj +1 more source
The presence of biotin‐binding avidin proteins in fish and their biological significance are poorly characterized. We cataloged fish avidins and demonstrate that they are widely present and evolutionarily conserved. We created avd knockout zebrafish and show that zebavidin is dispensable for development and that resistance of avd knockout embryos in ...
Anni K. Saralahti +5 more
wiley +1 more source
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.
Jaime Cuevas +7 more
doaj +1 more source
Milling yield components of local dryland rice varieties
Family farmers in the western Santa Catarina state, Brazil, have conserved local dryland rice varieties. However, the literature lacks data about the milling performance of these varieties, as well as about the effects of genotypes, environment ...
Otavio Rechsteiner Maghelly +4 more
doaj +1 more source
Human ABCE1 cannot functionally replace its yeast ortholog. Yeast–human chimera analysis identified NBD1 as a major interspecies barrier. Genetic screening yielded hABCE1 revertants that rescue yeast viability but fail to suppress aberrant translation reinitiation in the 3′ UTR.
Eriko Nakata +3 more
wiley +1 more source
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.
Jaime Cuevas +5 more
doaj +1 more source
MARK4 enhances stress granule formation under oxidative stress and increases tau accumulation
MARK4 (red dots) localizes to stress granules (orange dots) and promotes their formation under oxidative stress by modulating TIA1 (blue dots). MARK4 and TIA1 synergistically increase tau (purple) accumulation, and the reduction of the TIA1 ortholog suppresses neurodegeneration in a fly model.
Sho Nakajima +8 more
wiley +1 more source
Analysis of linear and nonlinear genotype × environment interaction
The usual analysis of genotype × environment interaction (GxE) is based on the linear regression of genotypic performance on environmental changes (e.g., classic stability analysis).
Rong-Cai eYang, Rong-Cai eYang
doaj +1 more source
The genotype x environment-to-phenotype relationship
Proceeding from the formal genotype x environment-to-phenotype functional relationship, a few common concepts essentially based upon this relationship have been reviewed and redefined. Particular attention was given to forming unambiguous representations.
Gregorius, H. R.
core +1 more source
During the current opioid crisis, the majority of overdose deaths are attributed to ultra‐potent synthetic opioids, such as fentanyl. While fentanyl exerts its action via opioid receptors, we propose that potassium channels in the brain blood vessels may also sense fentanyl.
Shiwani Thapa +4 more
wiley +1 more source

