ArticleFrontiers in plant science2021
Dynamic Programming for Resource Allocation in Multi-Allelic Trait Introgression.
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 2 papers.
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2 citing papers in PubMed.
- Modern elite winter wheat cultivars use two physiological pathways to achieve yield stability.Journal of experimental botany · 2026Article
- Deep reinforcement learning enables adaptive-image augmentation for automated optical inspection of plant rust.Frontiers in plant science · 2023Article
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5 authors.
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Abstract
Trait introgression is a complex process that plant breeders use to introduce desirable alleles from one variety or species to another. Two of the major types of decisions that must be made during this sophisticated and uncertain workflow are: parental selection and resource allocation. We formulated the trait introgression problem as an engineering process and proposed a Markov Decision Processes (MDP) model to optimize the resource allocation procedure. The efficiency of the MDP model was compared with static resource allocation strategies and their trade-offs among budget, deadline, and probability of success are demonstrated. Simulation results suggest that dynamic resource allocation strategies from the MDP model significantly improve the efficiency of the trait introgression by allocating the right amount of resources according to the genetic outcome of previous generations.
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