Results 101 to 110 of about 29,074 (248)
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Combining phenomic and genomic selection for pea breeding improvement
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Pea (Pisum sativum L.) is a strategic crop in the development of sustainable agriculture. However, the genetic gain remains limited despite advances in breeding. Genomic selection holds promise to accelerate varietal improvement, but its high implementation cost restricts its use in crops.
Anthony Klein +15 more
wiley +1 more source
Multidimensional Epistasis and the Advantage of Sex
, 2005 Kondrashov and Kondrashov (2001) suggest that there is usually a disadvantage for sex in systems with multidimensional epistasis. They define systems of 'unidimensional epistasis' to be those where the fitness of a genotype is a function of the number of
Wakeley, John, Watson, Richard A.
core
Dominance, epistasis, heritabilities and expected genetic gains
, 2005 Although epistasis is common in gene systems that determine quantitative traits, it is usually not possible to estimate the epistatic components of genotypic variance because experiments in breeding programs include only one type of progeny. As the study
José Marcelo Soriano Viana +1 more
core +1 more source
From Classical Genetics to Quantitative Genetics to Systems Biology: Modeling Epistasis
PLoS Genetics, 2008 Gene expression data has been used in lieu of phenotype in both classical and quantitative genetic settings. These two disciplines have separate approaches to measuring and interpreting epistasis, which is the interaction between alleles at different loci. We propose a framework for estimating and interpreting epistasis from a classical experiment that
David L Aylor, Zhao-Bang Zeng
openaire +4 more sources
Functional Genetic Variation in Ubiquitin D Promoter Influences Susceptibility to Atopic Dermatitis
Clinical &Experimental Allergy, EarlyView.
Yi Ying Eliza Lim +5 more
wiley +1 more source
European Journal of Pain, Volume 30, Issue 6, July 2026.ABSTRACT Background Fibromyalgia is a syndrome characterised by widespread chronic pain, which is believed to be mediated by a state of central sensitisation (CS). Based on the hypothesis that CS itself could have genetic determinants, our aim was to further explore this pathway.
Nicolas Macian +8 more
wiley +1 more source
The Genoeconomics of Impulsive Intertemporal Choice: A Critical Review
Journal of the Experimental Analysis of Behavior, Volume 126, Issue 1, July 2026.Abstract Dr. Warren Bickel tirelessly investigated delay discounting (DD), a behavioral economic index of impulsive decision making, as a determinant of numerous health outcomes. Among the factors that contribute to a person's level of DD, a burgeoning body of research has illuminated its genetic foundations and the extent to which it may be a ...
Wei Q. Deng +5 more
wiley +1 more source
Detection of epistasis in chickpea
, 2021 Triple test cross-analysis was used to detect epistasis in chickpea. None of the characters investigated exhibited epistasis. In the absence of epistasis, additive and dominance effects were estimated.
Malhotra, R
core
Poor statistical power in population-based association study of gene interaction
BMC Medical GenomicsBackground Statistical epistasis, or “gene–gene interaction” in genetic association studies, means the nonadditive effects between the polymorphic sites on two different genes affecting the same phenotype.
Jiarui Ma +4 more
doaj +1 more source