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黄淮冬麦区主栽小麦品种根系的生理特性比较
引用本文:臧贺藏,贺德先.黄淮冬麦区主栽小麦品种根系的生理特性比较[J].核农学报,2012,26(1):150-156.
作者姓名:臧贺藏  贺德先
作者单位:1. 河南农业大学农学院,河南郑州450002/中国农业大学农学与生物技术学院,北京100193
2. 河南农业大学农学院,河南郑州,450002
基金项目:河南省科技创新人才计划项目(104200510013),农业部公益性行业科研专项经费资助项目(201003027)
摘    要:采用盆栽试验方法,以黄淮麦区主栽的23个小麦品种为材料,以根系活力、根中全氮含量和根中可溶性糖含量为指标进行聚类分析。结果表明, 23个小麦品种的根系生理特性可归为3个类群:根系生理活性旺盛型(A类群);根系生理活性中等型(B类群);根系生理活性较弱型(C类群)。本研究条件下,根系生理活性中等型综合表现较好,主要表现为根系活力较强,根中氮含量和可溶性糖含量较高,获得的籽粒产量较高,是较为理想的育种材料。研究结果为黄淮冬麦区当前主栽品种的合理利用、新品种选育以及高产优质高效栽培提供了理论参考。

关 键 词:小麦  根系  生理特性  聚类分析
收稿时间:2011-03-30
修稿时间:2011-08-31

COMPARISON OF ROOT PHYSIOLOGICAL CHARACTERISTICS OF LEADING WHEAT (Triticum aestivum L.) CULTIVARS IN HUANGHUAI WINTER WHEAT PLAINS
ZANG He-cang,HE De-xian.COMPARISON OF ROOT PHYSIOLOGICAL CHARACTERISTICS OF LEADING WHEAT (Triticum aestivum L.) CULTIVARS IN HUANGHUAI WINTER WHEAT PLAINS[J].Acta Agriculturae Nucleatae Sinica,2012,26(1):150-156.
Authors:ZANG He-cang  HE De-xian
Institution:1.College of Agronomy,Henan Agricultural University,Zhengzhou,Henan 450002;2.College of Agronomy and Bio-technology,China Agricultural University,Beijing 100193)
Abstract:Pot experiments were conducted to investigate root traits using 23 leading wheat cultivars currently grown in in Huanghuai Plains as test materials. Root vigor, nitrogen content, soluble sugars were investigated and subjected to cluster analysis. Results showed that the twenty-three cultivars could be classified into three groups: being with the strong(A groups), the medium(B groups), and the weak(C groups) root physiological activity, respectively. Under the present experiment, cultivars in B groups showed a better overall performance with more medium root vigor, nitrogen content, soluble sugars, and the highest grain yield, and were considered as more ideal breeding materials. These findings provided theoretical references for reasonable utilization of the current leading cultivars, breeding of new cultivars, and high-yield, good-quality and high-efficient wheat production practice in Huanghuai Plains.
Keywords:wheat  root system  physiological characteristics  cluster analysis
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