loading page

Leveraging phenotypic plasticity in seed oil content for climate-adapted breeding and production
  • +9
  • Lingju Zeng,
  • Xu Han,
  • Xiangjian Gou,
  • He Pei,
  • Yang Shao,
  • Yilan Cao,
  • Zhenwei Zhang,
  • Xianran Li,
  • Jianming Yu,
  • Jianbing Yan,
  • Liang Guo,
  • Tingting Guo
Lingju Zeng
National Key Laboratory of Crop Genetic Improvement
Author Profile
Xu Han
National Key Laboratory of Crop Genetic Improvement
Author Profile
Xiangjian Gou
National Key Laboratory of Crop Genetic Improvement
Author Profile
He Pei
National Key Laboratory of Crop Genetic Improvement
Author Profile
Yang Shao
National Key Laboratory of Crop Genetic Improvement
Author Profile
Yilan Cao
National Key Laboratory of Crop Genetic Improvement
Author Profile
Zhenwei Zhang
National Key Laboratory of Crop Genetic Improvement
Author Profile
Xianran Li
USDA Agricultural Research Service Wheat Health Genetics and Quality Research Unit
Author Profile
Jianming Yu
Iowa State University of Science and Technology Department of Agronomy
Author Profile
Jianbing Yan
National Key Laboratory of Crop Genetic Improvement
Author Profile
Liang Guo
National Key Laboratory of Crop Genetic Improvement
Author Profile
Tingting Guo
National Key Laboratory of Crop Genetic Improvement

Corresponding Author:[email protected]

Author Profile

Abstract

Phenotypic plasticity is the ability of organisms to respond to environmental changes. Understanding and leveraging crop phenotypic plasticity is crucial for mitigating the threats caused by climate change. Here, we assessed phenotypic plasticity in multi-environment trials over 4 years, covering a wide geographical area, using 505 inbred lines from a Brassica napus genetic diversity panel. The observed phenotypic variation for seed oil content (SOC) was influenced by three environmental indices, i.e., precipitation, diurnal temperature range, and ultraviolet B during the flowering or pod-filling stage, alongside five plasticity genes. Leveraging this information with climate records, we developed a predictive model to estimate SOC for various planting dates in seven major production regions, and validated the accuracy of our predictions in new environments. With the quantified plasticity conferred by genetic variation in the five plasticity genes, we identified an optimal haplotype for each production region for adaptability to future climate projections. This study offers valuable insights and selection of materials to mitigate the adverse effects of climate change on agriculture.
20 Jul 2024Submitted to Plant, Cell & Environment
27 Jul 2024Submission Checks Completed
27 Jul 2024Assigned to Editor
28 Jul 2024Review(s) Completed, Editorial Evaluation Pending
28 Jul 2024Reviewer(s) Assigned
01 Sep 2024Editorial Decision: Revise Minor
22 Oct 20241st Revision Received
26 Oct 2024Submission Checks Completed
26 Oct 2024Assigned to Editor
27 Oct 2024Review(s) Completed, Editorial Evaluation Pending
27 Oct 2024Reviewer(s) Assigned