Shuoxun Wang, Jie Hu, Wenzhen Song, Qiaoling Zhang, Chenchen Wu, Jiangyi Zhou, Lindong Yang, Yunzhe Wu, Yafeng Ye, Weishu Fan, Xiangdong Fu, Kun Wu
{"title":"Design strategies for enhanced sustainable green revolution productivity in rice.","authors":"Shuoxun Wang, Jie Hu, Wenzhen Song, Qiaoling Zhang, Chenchen Wu, Jiangyi Zhou, Lindong Yang, Yunzhe Wu, Yafeng Ye, Weishu Fan, Xiangdong Fu, Kun Wu","doi":"10.1016/j.jgg.2025.06.004","DOIUrl":null,"url":null,"abstract":"<p><p>Modern agriculture relies heavily on resource-intensive and environmentally harmful inputs, while the increasing global population and decreasing arable land demand new strategies to improve sustainable productivity of cereal crops, particularly reducing inorganic nitrogen fertilizer use while simultaneously increasing photosynthesis and grain yield in rice. To improve rice productivity, it is essential to improve photosynthetic nitrogen assimilation and optimize the translocation of carbon and nitrogen products from source to sink tissues. In this review, we first summarize recent advances in the genetic basis for improving grain yield by enhancing photosynthetic carbon and nitrogen assimilation. We then discuss progress in modulating the source-sink relationships to achieve higher yield and improved harvest index. Finally, we explore the necessary optimizations for adapting rice to high-density planting. These advancements are driving the development of sustainable green revolution varieties through the rational design of multi-gene pyramids and artificial intelligence (AI)-driven protein engineering.</p>","PeriodicalId":54825,"journal":{"name":"Journal of Genetics and Genomics","volume":" ","pages":""},"PeriodicalIF":6.6000,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Genetics and Genomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.jgg.2025.06.004","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Modern agriculture relies heavily on resource-intensive and environmentally harmful inputs, while the increasing global population and decreasing arable land demand new strategies to improve sustainable productivity of cereal crops, particularly reducing inorganic nitrogen fertilizer use while simultaneously increasing photosynthesis and grain yield in rice. To improve rice productivity, it is essential to improve photosynthetic nitrogen assimilation and optimize the translocation of carbon and nitrogen products from source to sink tissues. In this review, we first summarize recent advances in the genetic basis for improving grain yield by enhancing photosynthetic carbon and nitrogen assimilation. We then discuss progress in modulating the source-sink relationships to achieve higher yield and improved harvest index. Finally, we explore the necessary optimizations for adapting rice to high-density planting. These advancements are driving the development of sustainable green revolution varieties through the rational design of multi-gene pyramids and artificial intelligence (AI)-driven protein engineering.
期刊介绍:
The Journal of Genetics and Genomics (JGG, formerly known as Acta Genetica Sinica ) is an international journal publishing peer-reviewed articles of novel and significant discoveries in the fields of genetics and genomics. Topics of particular interest include but are not limited to molecular genetics, developmental genetics, cytogenetics, epigenetics, medical genetics, population and evolutionary genetics, genomics and functional genomics as well as bioinformatics and computational biology.