ArticlePlant communications2023
Modeling the influence of phenotypic plasticity on maize hybrid performance.
Article in Plant communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 22 citations in OpenAlex.
- Genomic insights intoFrontiers in plant science · 2026Article
- Decades' progress and prospects on maize functional genomics and molecular breeding.Science China. Life sciences · 2025Review
- A Natural Major Module Confers the Trade-Off between Phenotypic Mean and Plasticity of Grain Chalkiness in Rice.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Phenotypic plasticity in maize grain yield: Genetic and environmental insights of response to environmental gradients.The plant genome · 2025Article
- Phenotypic plasticity of flowering time and plant height related traits in wheat.BMC plant biology · 2025Article
- Leveraging Automated Machine Learning for Environmental Data-Driven Genetic Analysis and Genomic Prediction in Maize Hybrids.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- The analysis of the genetic loci affecting phenotypic plasticity of soybean isoflavone content by dQTG.seq model.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- IIIVmrMLM.QEI: An effective tool for indirect detection of QTN-by-environment interactions in genome-wide association studies.Computational and structural biotechnology journal · 2024Article
- Machine Learning for AI Breeding in Plants.Genomics, proteomics & bioinformatics · 2024Article
- TrG2P: A transfer-learning-based tool integrating multi-trait data for accurate prediction of crop yield.Plant communications · 2024Article
- QTL mapping for plant height and ear height using bi-parental immortalized heterozygous populations in maize.Frontiers in plant science · 2024Article
- Assessing the Impact of Yield Plasticity on Hybrid Performance in Maize.Physiologia plantarumArticle
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phenotypic plasticity, the ability of an individual to alter its phenotype in response to changes in the environment, has been proposed as a target for breeding crop varieties with high environmental fitness. Here, we used phenotypic and genotypic data from multiple maize (Zea mays L.) populations to mathematically model phenotypic plasticity in response to the environment (PPRE) in inbred and hybrid lines. PPRE can be simply described by a linear model in which the two main parameters, intercept a and slope b, reflect two classes of genes responsive to endogenous (class A) and exogenous (class B) signals that coordinate plant development. Together, class A and class B genes contribute to the phenotypic plasticity of an individual in response to the environment. We also made connections between phenotypic plasticity and hybrid performance or general combining ability (GCA) of yield using 30 F
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