Since the inception of the theory and conceptual framework of genomic selection (GS),
extensive research has been done on evaluating its efficiency for utilization in crop …

Background Cereal crops are a primary energy source for humans. Grain size and weight
affect both evolutionary fitness and grain yield of cereals. Although studies on gene mining …

In plant and animal breeding, genomic prediction models are established to select new lines
based on genomic data, without the need for laborious phenotyping. Prediction models can …

Septoria tritici blotch (STB) caused by the fungal pathogen Zymoseptoria tritici and powdery
mildew (PM) caused by Blumeria graminis f. sp tritici (Bgt) are among the forefront foliar …

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

Awns are stiff, hair‐like structures which grow from the lemmas of wheat (Triticum aestivum)
and other grasses that contribute to photosynthesis and play a role in seed dispersal …

Septoria nodorum blotch (SNB) is a foliar disease of wheat caused by the necrotrophic
fungal pathogen Parastagonospora nodorum. Research over the last two decades has …

In order to meet the goal of doubling wheat yield by 2050, breeders must work to improve
breeding program efficiency while also implementing new and improved technologies in …

Genomic selection (GS) is becoming an essential tool in breeding programs due to its role in
increasing genetic gain per unit time. The design of the training set (TRS) in GS is one of the …

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 …