Wheat quality improvement is an important objective in all wheat breeding programs.
However, due to the cost, time and quantity of seed required, wheat quality is typically …

Soft white wheat is a wheat class used in foreign and domestic markets to make various end
products requiring specific quality attributes. Due to associated cost, time, and amount of …

Genetically correlated traits can be used for improving predictive abilities of genomic
predictions including several traits in multi-trait models. Here, the wheat quality traits …

The prediction accuracies of genomic selection depend on several factors, including the
genetic architecture of target traits, the number of traits considered at a given time, and the …

Implementing genomic-based prediction models in genomic selection requires an
understanding of the measures for evaluating prediction accuracy from different models and …

Selection for wheat (Triticum aestivum L.) grain quality is often costly and time-consuming
since it requires extensive phenotyping in the last phases of development of new lines and …

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 …

In wheat, genomic prediction accuracy (GPA) was assessed for three micronutrient traits
(grain iron, grain zinc, and β‐carotenoid concentrations) using eight Bayesian regression …

Bread-making quality traits are central targets for wheat breeding. The objectives of our
study were to (1) examine the presence of major effect QTLs for quality traits in a Central …

Univariate genomic selection (UVGS) is an important tool for increasing genetic gain and
multivariate GS (MVGS), where correlated traits are included in genomic selection, which …