ArticleFrontiers in genetics2019
Enhancing Hybrid Prediction in Pearl Millet Using Genomic and/or Multi-Environment Phenotypic Information of Inbreds.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Prediction of biomass sorghum hybrids using environmental feature-enriched genomic combining ability models in tropical environments.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Enhancing winter wheat prediction with genomics, phenomics and environmental data.BMC genomics · 2024Article
- Omics-driven utilization of wild relatives for empowering pre-breeding in pearl millet.Planta · 2024Review
- The potentialities of omics resources for millet improvement.Functional & integrative genomics · 2023Review
- Comparing artificial-intelligence techniques with state-of-the-art parametric prediction models for predicting soybean traits.The plant genome · 2023Article
- Integrating Parental Phenotypic Data Enhances Prediction Accuracy of Hybrids in Wheat Traits.Genes · 2023Article
- Genetic insights in pearl millet breeding in the genomic era: challenges and prospects.Plant biotechnology reports · 2023Review
- Genetic mapping and prediction of flowering time and plant height in a maize Stiff Stalk MAGIC population.Genetics · 2022Article
- Breeding Drought-Tolerant Pearl Millet Using Conventional and Genomic Approaches: Achievements and Prospects.Frontiers in plant science · 2022Review
- Multi-omics-based prediction of hybrid performance in canola.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Response to Early Generation Genomic Selection for Yield in Wheat.Frontiers in plant science · 2021Article
- Genetic Gains in Pearl Millet in India: Insights Into Historic Breeding Strategies and Future Perspective.Frontiers in plant science · 2021Review
- Pearl Millet: A Climate-Resilient Nutricereal for Mitigating Hidden Hunger and Provide Nutritional Security.Frontiers in plant science · 2021Review
- Performance prediction of crosses in plant breeding through genotype by environment interactions.Scientific reports · 2020Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genomic selection (GS) is an emerging methodology that helps select superior lines among experimental cultivars in plant breeding programs. It offers the opportunity to increase the productivity of cultivars by delivering increased genetic gains and reducing the breeding cycles. This methodology requires inexpensive and sufficiently dense marker information to be successful, and with whole genome sequencing, it has become an important tool in many crops. The recent assembly of the pearl millet genome has made it possible to employ GS models to improve the selection procedure in pearl millet breeding programs. Here, three GS models were implemented and compared using grain yield and dense molecular marker information of pearl millet obtained from two different genotyping platforms (C [conventional GBS RAD-seq] and T [tunable GBS tGBS]). The models were evaluated using three different cross-validation (CV) schemes mimicking real situations that breeders face in breeding programs: CV2 resembles an incomplete field trial, CV1 predicts the performance of untested hybrids, and CV0 predicts the performance of hybrids in unobserved environments. We found that (
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