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

Rice (Oryza sativa) provides a staple food source for more than half the world population.
However, the current pace of rice breeding in yield growth is insufficient to meet the food …

Crops, because of their sessile lifestyle, inevitably experience dynamic environmental
conditions, and their capacity to adapt to these changes is central to their growth, survival …

Fostering a culture of continuous improvement through regular monitoring of genetic trends
in breeding pipelines is essential to improve efficiency and increase accountability. This is …

Improving yield is a primary soybean breeding goal, as yield is the main determinant of
soybean's profitability. Within the breeding process, selection of cross combinations is one of …

Abstract Key message Maximizing CDmean and Avg_GRM_self were the best criteria for
training set optimization. A training set size of 50–55%(targeted) or 65–85%(untargeted) is …

In maize, doubled haploid (DH) line production capacity of large-sized maize breeding
programs often exceeds the capacity to phenotypically evaluate the complete set of testcross …

Sophisticated and modern crop improvement techniques can bridge the gap for feeding the
ever-increasing population. Artificial intelligence (AI) refers to the simulation of human …

Climate change, particularly drought and heat stress, may slash agricultural productivity by
25.7% by 2080, with maize being the hardest hit. Therefore, unraveling the molecular nature …

Key message Sparse testing using genomic prediction can be efficiently used to increase
the number of testing environments while maintaining selection intensity in the early yield …