Research on Hybrid Crop Breeding Information Management System Based on Combining Ability Analysis
文献类型: 外文期刊
作者: Han, Yan-yun 1 ; Wang, Kai-yi 1 ; Liu, Zhong-qiang 1 ; Pan, Shou-hui 1 ; Zhao, Xiang-yu 1 ; Zhang, Qi 1 ; Wang, Shu-fe 1 ;
作者机构: 1.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
2.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
3.Minist Agr, Key Lab Agri Informat, Beijing 100097, Peoples R China
4.Beijing Engn Res Ctr Agr Internet Things, Beijing 100097, Peoples R China
关键词: combining ability analysis; breeding informatization; crop breeding information management system
期刊名称:SUSTAINABILITY ( 影响因子:3.251; 五年影响因子:3.473 )
ISSN:
年卷期: 2020 年 12 卷 12 期
页码:
收录情况: SCI
摘要: Combining ability analysis can be used to preliminarily identify the advantages and disadvantages of combinations and parents in earlier generations, enabling breeders to reduce the range of material, save breeding time, and improve breeding efficiency. An approach for combining ability analysis through the hybrid crop breeding information management system is presented. The general combining ability prediction effect of parents and the specific combining ability prediction effect of combinations are calculated to analyze hybrid combinations using the hybrid crop breeding information management system. The results provide the basis for parent selection and combination selection. The plant breeding trial management function of the system can provide convenient diallel crossing trial design, field planting plan, and combining ability analysis. In the system, the genealogy of breeding materials is traced with the combining ability test crosses. The selection of high-generation breeding materials can be performed in accordance with the combining ability test results of early generation materials. The system has been successfully applied to a large Chinese seed company. The combining ability test function automates data analysis and eliminates days in the decision-making process. The efficiency of the combining ability test analysis and test report generation has improved to more than double by using the system.
- 相关文献
作者其他论文 更多>>
-
Prediction of maize cultivar yield based on machine learning algorithms for precise promotion and planting
作者:Han, Yanyun;Wang, Kaiyi;Yang, Feng;Pan, Shouhui;Liu, Zhongqiang;Zhang, Qiusi;Zhang, Qi;Han, Yanyun;Wang, Kaiyi;Yang, Feng;Pan, Shouhui;Liu, Zhongqiang;Zhang, Qiusi;Zhang, Qi
关键词:Prediction of maize cultivar yield; Machine learning; Random forest; Levenberg - Marquardt neural network; Multilayer perceptron neural network; Assessment of varieties
-
Developing a comprehensive evaluation model of variety adaptability based on machine learning method
作者:Han, Yanyun;Wang, Kaiyi;Zhang, Qi;Yang, Feng;Pan, Shouhui;Liu, Zhongqiang;Zhang, Qiusi;Han, Yanyun;Wang, Kaiyi;Zhang, Qi;Yang, Feng;Pan, Shouhui;Liu, Zhongqiang;Zhang, Qiusi
关键词:Maize variety adaptability evaluation; Variety adaptability comprehensive evaluation index; Entropy weight method; Machine learning method
-
TrG2P: A transfer-learning-based tool integrating multi-trait data for accurate prediction of crop yield
作者:Li, Jinlong;Zhang, Dongfeng;Yang, Feng;Zhang, Qiusi;Pan, Shouhui;Zhao, Xiangyu;Zhang, Qi;Han, Yanyun;Wang, Kaiyi;Zhao, Chunjiang;Li, Jinlong;Zhang, Dongfeng;Yang, Feng;Zhang, Qiusi;Pan, Shouhui;Zhao, Xiangyu;Zhang, Qi;Han, Yanyun;Wang, Kaiyi;Zhao, Chunjiang;Yang, Jinliang;Yang, Jinliang
关键词:crop; genotype to phenotype; transfer learning; yield prediction; multi-trait
-
Advances in understanding grapevine downy mildew: From pathogen infection to disease management
作者:Peng, Junbo;Wang, Xuncheng;Wang, Hui;Li, Xinghong;Zhang, Qi;Wang, Meng;Yan, Jiye
关键词:effector biology; grapevine; Plasmopara viticola; sustainable control
-
Prediction of corn variety yield with attribute-missing data via graph neural network
作者:Yang, Feng;Zhang, Dongfeng;Han, Yanyun;Zhang, Qiusi;Zhang, Qi;Liu, Zhongqiang;Wang, Kaiyi;Zhang, Yuqing;Zhang, Yong;Han, Yanyun;Liu, Zhongqiang;Wang, Kaiyi;Zhang, Qiusi;Zhang, Qi;Zhang, Chenghui
关键词:Corn variety yield prediction; Graph neural network; Data imputation; Adversarial learning
-
A variety test platform for the standardization and data quality improvement of crop variety tests
作者:Yang, Feng;Liu, Zhongqiang;Wang, Xiaofeng;Zhang, Qiusi;Han, Yanyun;Zhao, Xiangyu;Pan, Shouhui;Wang, Shufeng;Zhang, Qi;Wang, Kaiyi;Wang, Yuxi;Qiu, Jun;Wang, Xiaofeng;Zhang, Qiusi;Han, Yanyun;Wang, Shufeng;Zhang, Qi;Zhao, Xiangyu;Pan, Shouhui;Wang, Kaiyi;Yang, Shuo
关键词:crop variety test; trait data; standardization; data quality control; statistical analysis
-
A crop variety yield prediction system based on variety yield data compensation
作者:Zhang, Qi;Zhao, Chunjiang;Zhang, Qi;Wang, Kaiyi;Han, Yanyun;Liu, Zhongqiang;Yang, Feng;Wang, Shufeng;Zhao, Xiangyu;Zhao, Chunjiang;Zhang, Qi;Wang, Kaiyi;Han, Yanyun;Liu, Zhongqiang;Yang, Feng;Wang, Shufeng;Zhao, Xiangyu;Zhao, Chunjiang
关键词:Yield prediction; Meteorological factors; Ecological region; Yield data compensation; Key growth periods