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SaveShare Save Share Save Share Save Share Save Share Save Share Save Share Save Leveraging Automated Machine Learning for Environmental Data-Driven Genetic Analysis and Genomic Prediction in Maize Hybrids
He, KH; Yu, TX; Gao, S; Chen, SK; Li, L; Zhang, XC; Huang, CL; Xu, YB; Wang, JK; Prasanna, BM; Hearne, S; Li, XH; Li, HH Share Save Metabolic marker-assisted genomic prediction improves hybrid breedingXu, Yang; Yang, Wenyan; Qiu, Jie; Zhou, Kai; Yu, Guangning; Zhang, Yuxiang; Wang, Xin; Jiao, Yuxin; Wang, Xinyi; Hu, Shujun; Zhang, Xuecai; Li, Pengcheng; Lu, Yue; Chen, Rujia; Tao, Tianyun; Yang, Zefeng; Xu, Yunbi; Xu, Chenwu Share Save Share Save Share Save Share Save Share Save Integrative transcriptome and metabolome analysis reveals the mechanisms of light-induced pigmentation in purple waxy maizeLu, Yuan; Yu, Yao; Xuan, Yanfang; Kari, Ayiguli; Yang, Caixia; Wang, Chenyu; Zhang, Chao; Gu, Wei; Wang, Hui; Hu, Yingxiong; Sun, Pingdong; Guan, Yuan; Si, Wenshuai; Bai, Bing; Zhang, Xuecai; Xu, Yunbi; Prasanna, Boddupalli M.; Shi, Biao; Zheng, Hongjian Share Save Share Save Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic predictionXu, Yunbi; Zhang, Xingping; Li, Huihui; Zheng, Hongjian; Zhang, Jianan; Olsen, Michael S.; Varshney, Rajeev K.; Prasanna, Boddupalli M.; Qian, Qian Share Save A telomere-to-telomere gap-free reference genome of watermelon and its mutation library provide important resources for gene discovery and breedingDeng, Yun; Liu, Shoucheng; Zhang, Yilin; Tan, Jingsheng; Li, Xiaopeng; Chu, Xiao; Xu, Binghua; Tian, Yao; Sun, Yudong; Li, Bosheng; Xu, Yunbi; Deng, Xing Wang; He, Hang; Zhang, Xingping Share Save Share Save Integration of genomic selection with doubled-haploid evaluation in hybrid breeding: From GS 1.0 to GS 4.0 and beyondFu, Junjie; Hao, Yangfan; Li, Huihui; Reif, Jochen C.; Chen, Shaojiang; Huang, Changling; Wang, Guoying; Li, Xinhai; Xu, Yunbi; Li, Liang Share Save 
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