Multi-trait multi-environment genomic prediction of agronomic traits in advanced breeding lines of winter wheat
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 …
traits in wheat breeding. However, increasing the prediction accuracy (PA) of genomic …
Multi-trait genomic-enabled prediction enhances accuracy in multi-year wheat breeding trials
A Montesinos-López, DE Runcie, MI Ibba… - G3, 2021 - academic.oup.com
Implementing genomic-based prediction models in genomic selection requires an
understanding of the measures for evaluating prediction accuracy from different models and …
understanding of the measures for evaluating prediction accuracy from different models and …
[HTML][HTML] Accuracy of single and multi-trait genomic prediction models for grain yield in US Pacific Northwest winter wheat
Incorporating secondary correlated traits collected from high-throughput phenotyping in
genomic selection (GS) models for complex traits has been demonstrated to improve …
genomic selection (GS) models for complex traits has been demonstrated to improve …
Genomic prediction of agronomic traits in wheat using different models and cross-validation designs
Key message Genomic predictions across environments and within populations resulted in
moderate to high accuracies but across-population genomic prediction should not be …
moderate to high accuracies but across-population genomic prediction should not be …
Multi-trait multi-environment genomic prediction for end-use quality traits in winter wheat
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 …
products requiring specific quality attributes. Due to associated cost, time, and amount of …
Use of multiple traits genomic prediction, genotype by environment interactions and spatial effect to improve prediction accuracy in yield data
Genomic selection has been extensively implemented in plant breeding schemes. Genomic
selection incorporates dense genome-wide markers to predict the breeding values for …
selection incorporates dense genome-wide markers to predict the breeding values for …
Single‐step genomic and pedigree genotype× environment interaction models for predicting wheat lines in international environments
Genomic prediction models have been commonly used in plant breeding but only in
reduced datasets comprising a few hundred genotyped individuals. However, pedigree …
reduced datasets comprising a few hundred genotyped individuals. However, pedigree …
Multi-trait genomic prediction using in-season physiological parameters increases prediction accuracy of complex traits in US wheat
Background Recently genomic selection (GS) has emerged as an important tool for plant
breeders to select superior genotypes. Multi-trait (MT) prediction model provides an …
breeders to select superior genotypes. Multi-trait (MT) prediction model provides an …
Genomic prediction with pedigree and genotype× environment interaction in spring wheat grown in South and West Asia, North Africa, and Mexico
Developing genomic selection (GS) models is an important step in applying GS to
accelerate the rate of genetic gain in grain yield in plant breeding. In this study, seven …
accelerate the rate of genetic gain in grain yield in plant breeding. In this study, seven …
Genomic prediction models for grain yield of spring bread wheat in diverse agro-ecological zones
C Saint Pierre, J Burgueño, J Crossa… - Scientific reports, 2016 - nature.com
Genomic and pedigree predictions for grain yield and agronomic traits were carried out
using high density molecular data on a set of 803 spring wheat lines that were evaluated in …
using high density molecular data on a set of 803 spring wheat lines that were evaluated in …