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Identifying yield-related genes in maize based on ear trait plasticity
Minguo Liu1,2,3, Shuaisong Zhang1,3, Wei Li1,3
1State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
We developed MAIZTRO, an automated phenotyping platform for maize ear traits. This system identified 34 genes regulating kernel number plasticity, crucial for stable crop yields under climate change.
Area of Science:
- Plant genetics
- Agricultural science
- Genomics
Background:
- Phenotypic plasticity, the variation in traits due to environmental factors, is key to crop adaptation.
- Understanding the genetic basis of maize ear trait plasticity is vital for climate-resilient agriculture.
- High-throughput phenotyping is essential for genetic studies in large maize populations.
Purpose of the Study:
- To develop an automated platform for high-throughput maize ear phenotyping.
- To investigate the phenotypic plasticity of maize ear traits in response to different environments.
- To identify candidate genes controlling kernel number plasticity in maize.
Main Methods:
- Development of MAIZTRO, an automated maize ear phenotyping platform.
- Analysis of 15 ear phenotypes and their plasticity in 3819 transgenic maize lines across multiple environments.
- Focus on kernel number as a primary trait for yield improvement and stability.
Main Results:
- MAIZTRO enabled high-throughput measurement of maize ear phenotypes and their plasticity.
- 34 candidate genes potentially regulating kernel number plasticity were identified.
- Significant variation in phenotypic plasticity was observed across transgenic maize lines.
Conclusions:
- MAIZTRO is an effective platform for exploring yield-related traits and their plasticity.
- Genes and alleles influencing ear trait plasticity can be identified using transgenic maize populations.
- This research contributes to developing strategies for stable maize yields in changing climates.
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