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农业信息技术在小麦育种中的应用研究
引用本文:王君婵,高致富,李东升,朱冬梅,吴宏亚.农业信息技术在小麦育种中的应用研究[J].作物杂志,2018,34(3):37-31.
作者姓名:王君婵  高致富  李东升  朱冬梅  吴宏亚
作者单位:江苏里下河地区农业科学研究所,225007,江苏扬州
基金项目:项目基金:国家重点研发计划(2017YFD0100805);国家自然科学基金(31700163)
摘    要:小麦作为我国三大粮食作物之一,其市场需求量不断增加。随着气候等因素变化,小麦产量及品质将受到严峻考验,因此需要更为优良的新品种出现。现阶段我国小麦育种仍主要以传统育种技术为主,而凭借育种家经验,从海量育种群体中筛选获得高产、多抗、优质新品种的难度越来越大。因此,有效提升育种效率变得极为迫切。随着农业信息技术在育种中应用的迅猛发展,无损预测预报与进程信息化管理等高效育种成为可能。本文从育种进程管理、数据采集、综合评判决策、种质资源信息化管理方面介绍国内外信息技术在小麦育种中的研究进展,分析信息化育种的需求和存在的主要问题,并对其应用前景进行展望。

关 键 词:小麦  育种  农业信息技术  数据采集  综合评判  
收稿时间:2017-12-04

The Application of Agricultural Information Technology in Wheat Breeding
Junchan Wang,Zhifu Gao,Dongsheng Li,Dongmei Zhu,Hongya Wu.The Application of Agricultural Information Technology in Wheat Breeding[J].Crops,2018,34(3):37-31.
Authors:Junchan Wang  Zhifu Gao  Dongsheng Li  Dongmei Zhu  Hongya Wu
Institution:Lixiahe Regional Institute of Agricultural Sciences of Jiangsu Province, Yangzhou 225007, Jiangsu, China
Abstract:As one of the three major grain crops in China, wheat has been increasingly demanded in the market. However, with the change of climate and other factors, the yield and quality of wheat will be severely tested and more new excellent varieties are needed. In recent years, the main breeding of wheat in China is still dominated by traditional breeding techniques. By virtue of the experience of breeders,the pressure of selecting new high yield, multi resistance and excellent quality varieties from massive breeding populations becomes bigger and bigger. There is a urgent need of the effective means to enhance the breeding process. With the continuous improvement of agricultural information technology in crop breeding,it is possible to make non-destructive forecasting and process information management. The research progresses of information technology in wheat breeding are introduced from four aspects: breeding process management, data collection, comprehensive evaluation decision making and information management of germplasm resources. The main problems and how to realize information breeding are analyzed and the application is prospected.
Keywords:Wheat  Breeding  Agricultural information technology  Data collection  Totally evaluation  
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