Background Barley, globally the fourth most important cereal, provides food and beverages
for humans and feed for animal husbandry. Maximizing grain yield under varying climate …

Abstract Knowledge of the genetic architecture of flowering and maturity is needed to
develop effective breeding strategies in tropical soybean. The aim of this study was to …

For efficient mechanical harvesting, low grain moisture content at harvest time is essential.
Dry-down rate (DR), which refers to the reduction in grain moisture content after the plants …

The performance of genomic prediction (GP) on genetically correlated traits can be
improved through an interdependence multi-trait model under a multi-environment context …

Hybrid wheat breeding is one of the most promising technologies for further sustainable
yield increases. However, the cleistogamous nature of wheat displays a major bottleneck for …

The usefulness of genomic prediction (GP) for many animal and plant breeding programs
has been highlighted for many studies in the last 20 years. In maize breeding programs …

While several statistical machine learning methods have been developed and studied for
assessing the genomic prediction (GP) accuracy of unobserved phenotypes in plant …

Flowering time is a crucial determinant of both the yield and oil quality of rapeseed as well
as a key indicator of plant maturity. We performed a genome-wide association study and …

With the improvement of high-throughput technologies in recent years, large multi-
dimensional plant omics data have been produced, and big-data-driven yield prediction …

Genomic prediction is a promising approach for accelerating the genetic gain of complex
traits in wheat breeding. However, increasing the prediction accuracy (PA) of genomic …