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OsGRF4 controls grain shape, panicle length and seed shattering in rice

Journal of Integrative Plant Biology 2016年第10期58卷 836-847页

作者： Pingyong Sun Wuhan Zhang Yihua Wang Qiang He Fu Shu Hai Liu Jie Wang Jianmin Wang Longping Yuan Huafeng Deng College of Agronomy Hunan Agricultural University Changsha 410128 China State Key Laboratory of Hybrid Rice Hunan Hybrid Rice Research Center Hunan Academy of Agricultural Sciences Changsha 410125 China Collaborative Innovation Center of Grain and Oil Crops in South China Changsha 410128 China China National Japonica Rice Research and Development Center Tianjin 300457 China State Key Laboratory for Crop Genetics and Germplasm Enhancement Nanjing Agricultural University Nanjing 210095 China.

traits such as grain shape, panicle length and seed shattering, play important roles in grain yield and harvest. In this study, the cloning and functional analysis of panicle traits 2 （PT2）, a novel gene from the Indica rice Chuandali （CDL）, is reported. PT2 is synonymous with Growth-Regulating Factor 4 （OsGRF4）, which encodes a growth-regulating factor that positively regulates grain shape and panicle length and negatively regulates seed shattering. Higher expression of OsGRF4 is correlated with larger grain, longer panicle and lower seed shattering. A unique OsGRF4 mutation, which occurs at the OsmiRNA396 target site of OsGRF4, seems to be associated with high levels of OsGRF4 expression, and results in phenotypic difference. Further research showed that OsGRF4 regulated two cytokinin dehydrogenase precursor genes （CKX5 and CKX1） resulting in increased cytokinin levels, which might affect the panicle traits. High storage capacity and moderate seed shattering of OsGRF4 may be useful in high-yield breeding and mechanized harvesting of rice. Our findings provide additional insight into the molecular basis of panicle growth.

关键词： High-yield breeding mechanized harvesting OsmiRNA396 panicle traits plant growth regulator

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An integrated rice panicle phenotyping method based on X-ray and RGB scanning and deep learning

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The Crop Journal 2021年第1期9卷 42-56页

作者： Lejun Yu Jiawei Shi Chenglong Huang Lingfeng Duan Di Wu Debao Fu Changyin Wu Lizhong Xiong Wanneng Yang Qian Liu Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for OptoelectronicsKey Laboratory of Ministry of Education for Biomedical PhotonicsDepartment of Biomedical EngineeringHuazhong University of Science and TechnologyWuhan 430074HubeiChina National Key Laboratory of Crop Genetic Improvement National Center of Plant Gene ResearchAgricultural Bioinformatics Key Laboratory of Hubei ProvinceCollege of EngineeringHuazhong Agricultural UniversityWuhan 430070HubeiChina School of Biomedical Engineering Hainan UniversityHaikou 570228HainanChina

Rice panicle phenotyping is required in rice breeding for high yield and grain quality.To fully evaluate spikelet and kernel traits without threshing and hulling,using X-ray and RGB scanning,we developed an integrated rice panicle phenotyping system and a corresponding image analysis pipeline.We compared five methods of counting spikelets and found that Faster R-CNN achieved high accuracy(R~2 of 0.99)and speed.Faster R-CNN was also applied to indica and japonica classification and achieved 91%accuracy.The proposed integrated panicle phenotyping method offers benefit for rice functional genetics and breeding.

关键词： Rice(O.satiua) panicle traits RGB imaging X-ray scanning Faster R-CNN

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