首页|The CropGPT project:Call for a global,coordinated effort in precision design breeding driven by AI using biological big data

The CropGPT project:Call for a global,coordinated effort in precision design breeding driven by AI using biological big data

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Wanchao Zhu、Rui Han、Xiaoyang Shang、Tao Zhou、Chengyong Liang、Xiaomeng Qin、Hong Chen、Zaiwen Feng、Hongwei Zhang、Xingming Fan、Weifu Li、Lin Li

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National Key Laboratory of Crop Genetic Improvement,Huazhong Agricultural University,Wuhan 430070,China

Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region,College of Agronomy,Northwest A&F University,Yangling,Shaanxi 712100,China

College of Informatics,Huazhong Agricultural University,Wuhan 430070,China

State Key Laboratory of Crop Gene Resources and Breeding,Institute of Crop Science,Chinese Academy of Agricultural Sciences,Beijing 100081,China

Institute of Food Crops Sciences,Yunnan Academy of Agricultural Sciences,2238 Beijing Road,Kunming,Yunnan 650200,China

Hubei Hongshan Laboratory,Wuhan 430070,China

Shenzhen Institute of Nutrition and Health,Huazhong Agricultural University,Wuhan 430070,China

Shenzhen Branch,Guangdong Laboratory for Lingnan Modern Agriculture,Genome Analysis Laboratory of the Ministry of Agriculture,Agricultural Genomics Institute at Shenzhen,Chinese Academy of Agricultural Sciences,Shenzhen 518120,China

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National Key Research and Development Program of ChinaInternational(regional)Cooperation and Exchange Project of the National Natural Science Foundation of ChinaHainan Yazhou Bay Seed LabHZAU-AGIS Cooperation Fund

2023YFF100010032261143463B21HJ8102SZYJY2021006

2024

分子植物(英文版)
中科院上海生命科学研究院植物生理生态所 中国植物生理学会

分子植物(英文版)

CSTPCD
影响因子:0.659
ISSN:1674-2052
年,卷(期):2024.17(2)
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