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Prediction of additive, epistatic, and dominance effects using models accounting for incomplete inbreeding in parental l...

Published in Frontiers in Plant Science

Genomic models for prediction of additive and non-additive effects within and across different heterotic groups are lacking for breeding of hybrid crops. In this study, genomic prediction models accounting for incomplete inbreeding in parental lines from two different heterotic groups were developed and evaluated. The models can be used for predict...

Realized genomic selection across generations in a reciprocal recurrent selection breeding program of Eucalyptus hybrids...

Published in Frontiers in Plant Science

Introduction Genomic selection (GS) experiments in forest trees have largely reported estimates of predictive abilities from cross-validation among individuals in the same breeding generation. In such conditions, no effects of recombination, selection, drift, and environmental changes are accounted for. Here, we assessed the effectively realized pr...

Functional genomic approaches in molecular breeding for crop improvement

Published in Frontiers in Genetics

Accurate prediction of quantitative traits with failed SNP calls in canola and maize

Published in Frontiers in Plant Science

In modern plant breeding, genomic selection is becoming the gold standard to select superior genotypes in large breeding populations that are only partially phenotyped. Many breeding programs commonly rely on single-nucleotide polymorphism (SNP) markers to capture genome-wide data for selection candidates. For this purpose, SNP arrays with moderate...

Impacts of salinity stress on crop plants: improving salt tolerance through genetic and molecular dissection

Published in Frontiers in Plant Science

Improper use of water resources in irrigation that contain a significant amount of salts, faulty agronomic practices such as improper fertilization, climate change etc. are gradually increasing soil salinity of arable lands across the globe. It is one of the major abiotic factors that inhibits overall plant growth through ionic imbalance, osmotic s...

A review of machine learning models applied to genomic prediction in animal breeding

Published in Frontiers in Genetics

The advent of modern genotyping technologies has revolutionized genomic selection in animal breeding. Large marker datasets have shown several drawbacks for traditional genomic prediction methods in terms of flexibility, accuracy, and computational power. Recently, the application of machine learning models in animal breeding has gained a lot of in...

Haplotype blocks for genomic prediction: a comparative evaluation in multiple crop datasets

Published in Frontiers in Plant Science

In modern plant breeding, genomic selection is becoming the gold standard for selection of superior genotypes. The basis for genomic prediction models is a set of phenotyped lines along with their genotypic profile. With high marker density and linkage disequilibrium (LD) between markers, genotype data in breeding populations tends to exhibit consi...

Genome-wide association study as a powerful tool for dissecting competitive traits in legumes

Published in Frontiers in Plant Science

Legumes are extremely valuable because of their high protein content and several other nutritional components. The major challenge lies in maintaining the quantity and quality of protein and other nutritional compounds in view of climate change conditions. The global need for plant-based proteins has increased the demand for seeds with a high prote...

G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype pred...

Published in Frontiers in Plant Science

Genotype-to-phenotype (G2P) prediction has become a mainstream paradigm to facilitate genomic selection (GS)-assisted breeding in the seed industry. Many methods have been introduced for building GS models, but their prediction precision may vary depending on species and specific traits. Therefore, evaluation of multiple models and selection of the...