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• Mapping and Validation of Quantitative Trait Loci on Yield-Related Traits Using Bi-Parental Recombinant Inbred Lines and Reciprocal Single-Segment Substitution Lines in Rice (Oryza sativa L.)

  作者：Manzoor, Ghulam Ali;Zhang, Luyan;Wang, Jiankang;Yin, Changbin

  关键词：yield-related traits; QTL mapping; QTL validation; recombinant inbred lines (RILs); single-segment substitution lines (SSSLs); rice (Oryza sativa L.)

• Engineering the key domains of starch synthases and branching enzyme to balance the amylose increase and yield loss in maize kernels

  作者：Wang, Zhengqi;Hu, Shuting;Zhang, Xuan;Ge, Xingyu;Xu, Sixuan;Li, Jiansheng;Yang, Xiaohong;Wang, Zhengqi;Hu, Shuting;Zhang, Xuan;Ge, Xingyu;Xu, Sixuan;Li, Jiansheng;Yang, Xiaohong;Wang, Zhengqi;Xu, Sixuan;Li, Jiansheng;Yang, Xiaohong;Zhuang, Junhong;Zhao, Xiaoming;Wang, Xiqing;Li, Jiansheng;Yang, Xiaohong;Tang, Huaijun;Yang, Xiaohong

  关键词：Maize; Gene editing; SSIIa; SBEIIb; High-amylose starch

• Prediction by simulation in plant breeding

  作者：Li, Huihui;Zhang, Luyan;Gao, Shang;Wang, Jiankang;Li, Huihui;Zhang, Luyan;Gao, Shang;Wang, Jiankang;Li, Huihui;Gao, Shang;Wang, Jiankang

  关键词：Prediction by simulation; Plant breeding; Modeling; Genetic model; Breeding method

• Fast-forwarding plant breeding with deep learning-based genomic prediction

  作者：Gao, Shang;Yu, Tingxi;Wang, Jiankang;Li, Huihui;Gao, Shang;Yu, Tingxi;Wang, Jiankang;Li, Huihui;Rasheed, Awais;Crossa, Jose;Hearne, Sarah

  关键词：artificial intelligence; deep learning; genomic prediction; plant breeding

• Leveraging Automated Machine Learning for Environmental Data-Driven Genetic Analysis and Genomic Prediction in Maize Hybrids

  作者：He, Kunhui;Yu, Tingxi;Gao, Shang;Chen, Shoukun;Li, Liang;Zhang, Xuecai;Huang, Changling;Xu, Yunbi;Wang, Jiankang;Li, Xinhai;Li, Huihui;He, Kunhui;Yu, Tingxi;Gao, Shang;Chen, Shoukun;Zhang, Xuecai;Huang, Changling;Wang, Jiankang;Li, Huihui;Zhang, Xuecai;Hearne, Sarah;Prasanna, Boddupalli M.

  关键词：environmental data; genetic analysis; genomic selection; genotype-by-environment interactions; machine learning

• EXGEP: a framework for predicting genotype-by-environment interactions using ensembles of explainable machine-learning models

  作者：Yu, Tingxi;Zhang, Hao;Chen, Shoukun;Gao, Shang;Liu, Ze;Wang, Jiankang;Li, Huihui;Yu, Tingxi;Zhang, Hao;Chen, Shoukun;Gao, Shang;Liu, Ze;Wang, Jiankang;Li, Huihui;Crossa, Jose;Hearne, Sarah;Montesinos-Lopez, Osval A.

  关键词：maize; machine learning; phenotypic prediction; genotype-by-environment interactions; explainable artificial intelligence

• Understanding wave effects on the hydrodynamic characteristics of knotless nylon netting and flow field analysis around netting

  作者：Guo, Shaojian;Zhou, Cheng;Liu, Zhiqiang;Wan, Rong;Wang, Yucheng;Zhou, Cheng;Wan, Rong;Zhou, Cheng;Wan, Rong;Zhou, Cheng;Wan, Rong;Wang, Jiankang;Zhang, Xi;Xu, Zimu

  关键词：Knotless nylon nettings; Wave; Hydrodynamic characteristic; PIV; Flume experiments