ArticleFrontiers in plant science2020
Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South Asia.
Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 45 citations in OpenAlex.
- Editorial: Utilizing machine learning with phenotypic and genotypic data to enhance effective breeding in agricultural and horticultural crops.Frontiers in plant science · 2026Article
- Bioinformatics in crop research: using genomic data for crop improvement.Frontiers in plant science · 2026Review
- Optimizing the selection of quantitative traits in plant breeding using simulation.Frontiers in plant science · 2025Review
- Review
- Genomic-inferred cross-selection methods for multi-trait improvement in a recurrent selection breeding program.Plant methods · 2024Article
- Sparse multi-trait genomic prediction under balanced incomplete block design.The plant genome · 2023Article
- Multi-trait genomic prediction improves selection accuracy for enhancing seed mineral concentrations in pea.The plant genome · 2022Article
- Development and validation of an optimized marker set for genomic selection in southern U.S. rice breeding programs.The plant genome · 2022Article
- Sparse testing using genomic prediction improves selection for breeding targets in elite spring wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Genomic Prediction of Complex Traits in an Allogamous Annual Crop: The Case of Maize Single-Cross Hybrids.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Genetic, Epigenetic, Genomic and Microbial Approaches to Enhance Salt Tolerance of Plants: A Comprehensive Review.Biology · 2021Review
- The Breeding Information Management System (BIMS): an online resource for crop breeding.Database : the journal of biological databases and curation · 2021Article
- Beat the stress: breeding for climate resilience in maize for the tropical rainfed environments.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Review
- Review
- Utilizing CRISPR-Cas in Tropical Crop Improvement: A Decision Process for Fitting Genome Engineering to Your Species.Frontiers in genetics · 2021Article
- Maximizing efficiency of genomic selection in CIMMYT's tropical maize breeding program.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Genomic Selection in Tropical Forage Grasses: Current Status and Future Applications.Frontiers in plant science · 2021Review
- Scalable Sparse Testing Genomic Selection Strategy for Early Yield Testing Stage.Frontiers in plant science · 2021Article
- Application of Genomic Selection at the Early Stage of Breeding Pipeline in Tropical Maize.Frontiers in plant science · 2021Article
- Genomic Prediction of Resistance to Tar Spot Complex of Maize in Multiple Populations Using Genotyping-by-Sequencing SNPs.Frontiers in plant science · 2021Article
Corrections and comments
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Authors and funding
19 authors at 6 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Much of the world's population growth will occur in regions where food insecurity is prevalent, with large increases in food demand projected in regions of Africa and South Asia. While improving food security in these regions will require a multi-faceted approach, improved performance of crop varieties in these regions will play a critical role. Current rates of genetic gain in breeding programs serving Africa and South Asia fall below rates achieved in other regions of the world. Given resource constraints, increased genetic gain in these regions cannot be achieved by simply expanding the size of breeding programs. New approaches to breeding are required. The Genomic Open-source Breeding informatics initiative (GOBii) and Excellence in Breeding Platform (EiB) are working with public sector breeding programs to build capacity, develop breeding strategies, and build breeding informatics capabilities to enable routine use of new technologies that can improve the efficiency of breeding programs and increase genetic gains. Simulations evaluating breeding strategies indicate cost-effective implementations of genomic selection (GS) are feasible using relatively small training sets, and proof-of-concept implementations have been validated in the International Maize and Wheat Improvement Center (CIMMYT) maize breeding program. Progress on GOBii, EiB, and implementation of GS in CIMMYT and International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) breeding programs are discussed, as well as strategies for routine implementation of GS in breeding programs serving Africa and South Asia.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.