Boosting(机器学习)
生物
鉴定(生物学)
基因型
选择(遗传算法)
粮食产量
农学
生物技术
化学
计算机科学
遗传学
人工智能
植物
基因
作者
Liang Sun,Ruigang Wang,Wenbang Tang,Yuchao Chen,Jieqiang Zhou,Haoran Ma,Sai Li,Hubing Deng,Lei Han,Yibo Chen,Yongjun Tan,Yuxing Zhu,Dasong Lin,Qihong Zhu,Jiurong Wang,Daoyou Huang,Caiyan Chen
标识
DOI:10.1016/j.jhazmat.2021.127703
摘要
Rice (Oryza sativa L.), a staple for half of the world's population, usually accumulates high levels of cadmium (Cd) in the grain when planted in the Cd-contaminated paddy fields. Genetic improvements using natural variation of grain-Cd accumulation is the most cost-effective way to mitigate the risk of excess Cd accumulation. However, as a complex trait, grain-Cd accumulation is susceptible to environmental variation, which challenges to characterize the genetic nature and subsequently the stable performance of grain-Cd accumulation. To boost the genetic effect on grain-Cd performance, we established an approach of normalization using the comparative grain-Cd value (CCd) following a contrasting field design. Identification of the genetic locus responsible for CCd variation help us develop a low-grain-Cd variety de novo, named 'Lushansimiao', which had lower grain-Cd levels in a large-scale field test and can produce Cd-safe rice following prolonged irrigations in the field with intermediate levels of Cd pollution. Combined CCd evaluating and low-Cd allelic genotyping, another six varieties were also identified as low-grain-Cd rice. Our study paves the way to efficiently quantify the genetic nature of grain-Cd accumulation in rice, and the stable low-Cd rice varieties will help to mitigate the risk of excess Cd accumulation in rice.
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