基因组到田间 2022 玉米基因型根据环境预测 竞赛
Dayane Cristina Lima1, Jacob D Washburn2, José Ignacio Varela3
1Department of Agronomy, University of Wisconsin - Madison, Madison, WI, 53706, USA. dclima@wisc.edu.
BMC research notes
|July 17, 2023
概括
基因组到田间 (G2F) 2022年玉米基因型根据环境 (GxE) 预测竞赛专注于预测谷物产量. 模型是使用来自实地试验的广泛的基因型,表型和环境数据来开发的.
科学领域:
- 农业科学 农业科学
- 遗传学 遗传学 是一个
- 数据科学数据科学数据科学
背景情况:
- 基因组到田间 (G2F) 计划为玉米育种产生了有价值的数据集.
- 通过环境相互作用了解基因型对于提高作物产量至关重要.
研究的目的:
- 利用2022年玉米GxE项目数据开发玉米谷物产量的预测模型.
- 利用历史和公开可用的数据来提高预测准确度.
主要方法:
- 利用了包括表型,基因型,土壤,天气和2014-2022年环境共变量在内的综合数据集.
- 数据涵盖了45个不同的实地试验地点.
- 数据集是为质量和统一性而策划的.
主要成果:
- 开发了模型来预测玉米杂交品种的谷物产量.
- 该竞赛促进了农业预测建模技术的进步.
结论:
- 2022年G2F玉米GxE预测竞赛成功推进了玉米谷物产量的预测模型的开发.
- 在G2F倡议中,合作性质和数据共享对于农业研究至关重要.
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