Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype× environment interaction on prediction accuracy in chickpea
Genomic selection (GS) by selecting lines prior to field phenotyping using genotyping data
has the potential to enhance the rate of genetic gains. Genotype× environment (G× E) …
has the potential to enhance the rate of genetic gains. Genotype× environment (G× E) …
Predictive breeding for maize: Making use of molecular phenotypes, machine learning, and physiological crop models
Maize (Zea mays L.) has been a focus of scientific research and breeding for over a century.
It is also one of the most economically important crops in the world, with a value of …
It is also one of the most economically important crops in the world, with a value of …
Accuracy of genomic prediction in synthetic populations depending on the number of parents, relatedness, and ancestral linkage disequilibrium
P Schopp, D Müller, F Technow, AE Melchinger - Genetics, 2017 - academic.oup.com
Synthetics play an important role in quantitative genetic research and plant breeding, but
few studies have investigated the application of genomic prediction (GP) to these …
few studies have investigated the application of genomic prediction (GP) to these …
Effect of trait heritability, training population size and marker density on genomic prediction accuracy estimation in 22 bi-parental tropical maize populations
Genomic selection is being used increasingly in plant breeding to accelerate genetic gain
per unit time. One of the most important applications of genomic selection in maize breeding …
per unit time. One of the most important applications of genomic selection in maize breeding …
Biological reality and parsimony in crop models—why we need both in crop improvement!
The potential to add significant value to the rapid advances in plant breeding technologies
associated with statistical whole-genome prediction methods is a new frontier for crop …
associated with statistical whole-genome prediction methods is a new frontier for crop …
Improvement of predictive ability in maize hybrids by including dominance effects and marker× environment models
LFV Ferrão, CD Marinho, PR Munoz… - Crop …, 2020 - Wiley Online Library
Hybrid breeding programs are driven by the potential to explore the heterosis phenomenon
in traits with nonadditive inheritance. Traditionally, progress has been achieved by crossing …
in traits with nonadditive inheritance. Traditionally, progress has been achieved by crossing …
Improvement of predictive ability by uniform coverage of the target genetic space
Genome-enabled prediction provides breeders with the means to increase the number of
genotypes that can be evaluated for selection. One of the major challenges in genome …
genotypes that can be evaluated for selection. One of the major challenges in genome …
Modeling copy number variation in the genomic prediction of maize hybrids
Key message Our study indicates that copy variants may play an essential role in the
phenotypic variation of complex traits in maize hybrids. Moreover, predicting hybrid …
phenotypic variation of complex traits in maize hybrids. Moreover, predicting hybrid …
Multi-trait genomic prediction for nitrogen response indices in tropical maize hybrids
In maize breeding, genomic prediction may be an efficient tool for selecting single-crosses
evaluated under abiotic stress conditions. In addition, a promising strategy is applying …
evaluated under abiotic stress conditions. In addition, a promising strategy is applying …
Genomewide prediction accuracy within 969 maize biparental populations
In genomewide selection, the expected correlation between predicted and true genotypic
values (rMG) has been previously derived as a function of the training population size (N) …
values (rMG) has been previously derived as a function of the training population size (N) …