The first paradigm of plant breeding involves direct selection-based phenotypic observation,
followed by predictive breeding using statistical models for quantitative traits constructed …

Climate change gives rise to numerous environmental stresses, including soil salinity.
Salinity/salt stress is the second biggest abiotic factor affecting agricultural productivity …

Genomic selection, the application of genomic prediction (GP) models to select candidate
individuals, has significantly advanced in the past two decades, effectively accelerating …

Over the past decade, genomics-assisted breeding (GAB) has been instrumental in
harnessing the potential of modern genome resources and characterizing and exploiting …

Crop wild relatives (CWRs) have provided breeders with several'game-changing'traits or
genes that have boosted crop resilience and global agricultural production. Advances in …

Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …

Genome‐wide association studies (GWAS) have developed into a powerful and ubiquitous
tool for the investigation of complex traits. In large part, this was fueled by advances in …

Soil salinization inhibits plant growth and seriously restricts food security and agricultural
development. Excessive salt can cause ionic stress, osmotic stress, and ultimately oxidative …

LightGBM is an ensemble model of decision trees for classification and regression
prediction. We demonstrate its utility in genomic selection-assisted breeding with a large …

Grain legumes are important sources of proteins, essential micronutrients and vitamins and
for human nutrition. Climate change, including drought, is a severe threat to grain legume …