Results 111 to 120 of about 68,669 (249)
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
Modelling epistasis in genetic disease using Petri nets, evolutionary computation and frequent itemset mining [PDF]
, 2010 Petri nets are useful for mathematically modelling disease-causing genetic epistasis. A Petri net model of an interaction has the potential to lead to biological insight into the cause of a genetic disease.
Beretta, Lorenzo, Mayo, Michael
core +2 more sources
The Plant Genome, Volume 19, Issue 2, June 2026.Abstract Wheat (Triticum aestivum L.), a foundation of global food security, faces persistent threats from stripe rust caused by Puccinia striiformis f. sp. tritici (Pst). The pathogen thrives in cool and humid environments and regularly causes epidemics that lead to severe yield losses.
Farkhandah Jan +11 more
wiley +1 more source
Evaluating Methods for Modeling Epistasis Networks with Application to Head and Neck Cancer
Cancer Informatics, 2015 Epistasis helps to explain how multiple single-nucleotide polymorphisms (SNPs) interact to cause disease. A variety of tools have been developed to detect epistasis.
Rajesh Talluri, Sanjay Shete
doaj +1 more source
Privacy-preserving decision tree for epistasis detection
Cybersecurity, 2019 The interaction between gene loci, namely epistasis, is a widespread biological genetic phenomenon. In genome-wide association studies(GWAS), epistasis detection of complex diseases is a major challenge. Although many approaches using statistics, machine
Qingfeng Chen, Xu Zhang, Ruchang Zhang
doaj +1 more source
Statistical Modeling of Epistasis and Linkage Decay using Logic Regression [PDF]
, 2007 Logic regression has been recognized as a tool that can identify and model non-additive genetic interactions using Boolean logic groups. Logic regression, TASSEL-GLM and SAS-GLM were compared for analytical precision using a previously characterized ...
John A. Henning +3 more
core +1 more source
Quantitative analyses of empirical fitness landscapes
, 2012 The concept of a fitness landscape is a powerful metaphor that offers insight into various aspects of evolutionary processes and guidance for the study of evolution.
de Visser, J. Arjan G. M. +4 more
core +2 more sources
The Plant Genome, Volume 19, Issue 2, June 2026.Abstract Ensuring superior quality is of paramount objective in modern rice (Oryza sativa L.) breeding program and investigating quality traits is crucial for developing superior rice varieties. The current study aimed for identifying single nucleotide polymorphisms (SNPs) and potential candidate genes for eleven quality traits, namely, hulling ...
Shivani Darmagaru +10 more
wiley +1 more source
Complexity of evolutionary equilibria in static fitness landscapes [PDF]
, 2013 A fitness landscape is a genetic space -- with two genotypes adjacent if they differ in a single locus -- and a fitness function. Evolutionary dynamics produce a flow on this landscape from lower fitness to higher; reaching equilibrium only if a local ...
Kaznatcheev, Artem
core
The Plant Genome, Volume 19, Issue 2, June 2026.Abstract Spot blotch (SB), caused by Bipolaris sorokiniana, is a major yield‐limiting disease of wheat (Triticum aestivum L.) in the warm, humid agroclimatic zones of South Asia. The development of resistant cultivars through molecular approaches offers a sustainable strategy for managing this disease.
Nikita Aggarwal +6 more
wiley +1 more source