ArticleFrontiers in plant science2021
Modeling Illustrates That Genomic Selection Provides New Opportunities for Intercrop Breeding.
Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 35 citations in OpenAlex.
- Crop legacies as genetic targets for sustainable farming systems.Nature genetics · 2026Review
- Integrating molecular genetics with plant breeding to deliver impact.Plant physiology · 2025Review
- SimpleMating: R-package for prediction and optimization of breeding crosses using genomic selection.The plant genome · 2025Article
- Evaluating genomic selection and speed breeding for Fusarium head blight resistance in wheat using stochastic simulations.Molecular breeding : new strategies in plant improvement · 2025Article
- Use of simulation to optimize a sweet corn breeding program: implementing genomic selection and doubled haploid technology.G3 (Bethesda, Md.) · 2024Article
- Genomic and phenotypic characterization of finger millet indicates a complex diversification history.The plant genome · 2024Article
- Harnessing monocrop breeding strategies for intercrops.Frontiers in plant science · 2024Article
- Toward plant breeding for multicrop systems.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Genomic selection strategies to increase genetic gain in tea breeding programs.The plant genome · 2023Article
- Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding?Plant physiology · 2022Article
- Linking quantitative genetics with community-level performance: Are there operational models for plant breeding?Frontiers in plant science · 2022Review
- Application of Crop Growth Models to Assist Breeding for Intercropping: Opportunities and Challenges.Frontiers in plant science · 2022Article
- Supply Chain Perspectives on Breeding for Legume-Cereal Intercrops.Frontiers in plant science · 2022Article
- A Comprehensive Approach to Evaluate Durum Wheat-Faba Bean Mixed Crop Performance.Frontiers in plant science · 2022Article
- Plant Breeding for Intercropping in Temperate Field Crop Systems: A Review.Frontiers in plant science · 2022Review
- Mixture × Genotype Effects in Cereal/Legume Intercropping.Frontiers in plant science · 2022Review
- Breeding Beyond Monoculture: Putting the "Intercrop" Into Crops.Frontiers in plant science · 2021Review
- Pea Breeding for Intercropping With Cereals: Variation for Competitive Ability and Associated Traits, and Assessment of Phenotypic and Genomic Selection Strategies.Frontiers in plant science · 2021Article
- Multi-Species Genomics-Enabled Selection for Improving Agroecosystems Across Space and Time.Frontiers in plant science · 2021Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intercrop breeding programs using genomic selection can produce faster genetic gain than intercrop breeding programs using phenotypic selection. Intercropping is an agricultural practice in which two or more component crops are grown together. It can lead to enhanced soil structure and fertility, improved weed suppression, and better control of pests and diseases. Especially in subsistence agriculture, intercropping has great potential to optimize farming and increase profitability. However, breeding for intercrop varieties is complex as it requires simultaneous improvement of two or more component crops that combine well in the field. We hypothesize that genomic selection can significantly simplify and accelerate the process of breeding crops for intercropping. Therefore, we used stochastic simulation to compare four different intercrop breeding programs implementing genomic selection and an intercrop breeding program entirely based on phenotypic selection. We assumed three different levels of genetic correlation between monocrop grain yield and intercrop grain yield to investigate how the different breeding strategies are impacted by this factor. We found that all four simulated breeding programs using genomic selection produced significantly more intercrop genetic gain than the phenotypic selection program regardless of the genetic correlation with monocrop yield. We suggest a genomic selection strategy which combines monocrop and intercrop trait information to predict general intercropping ability to increase selection accuracy in the early stages of a breeding program and to minimize the generation interval.
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