湖北农业科学 ›› 2020, Vol. 59 ›› Issue (24): 35-40.doi: 10.14088/j.cnki.issn0439-8114.2020.24.008

• 育种·栽培 • 上一篇    下一篇

不同麦区小麦种质资源在鄂北岗地的品质表现及农艺性状分析

刘莹1, 靳晓杰2, 凌冬1, 左珍喜1, 谭靖1, 龙小玲3, 温亮3, 王立峰1   

  1. 1.襄阳市农业科学院,湖北 襄阳 441057;
    2.河南省作物分子育种研究院,郑州 450002;
    3.湖北省农业科学院,武汉 430064
  • 收稿日期:2020-09-20 出版日期:2020-12-25 发布日期:2021-01-21
  • 通讯作者: 王立峰(1974-),男,山西襄垣人,高级农艺师,主要从事小麦遗传育种研究,(电子信箱)277873636@qq.com;
  • 作者简介:刘莹(1982-),女,湖北襄阳人,助理研究员,硕士,主要从事小麦单倍体遗传育种研究,(电话)13545318690(电子信箱)myseaky_2007@163.com;靳晓杰(1986-)女,河南郑州人,助理研究员,博士,主要从事小麦品质、抗病遗传育种研究,(电子信箱)86361325@qq.com
  • 基金资助:
    湖北省技术创新专项(重大项目)(2018ABA085); 湖北省中央引导地方科技发展专项(2019ZYYD037); 湖北省重点研发计划项目(2020BBA033)

Analysis of agronomic characters and quality performances on wheat germplasm of different types planted in humpy ground in northern Hubei province

LIU Ying1, JIN Xiao-jie2, LING Dong1, ZUO Zhen-xi1, TAN Jing1, LONG Xiao-ling 3, WEN Liang3, WANG Li-feng1   

  1. 1. Xiangyang Academy of Agricultural Sciences, Xiangyang 441057,Hubei, China;
    2. Henan Academy of Crop Molecular Breeding, Zhengzhou 450002, China;
    3. Hubei Academy of Agricultural Sciences, Wuhan 430064, China
  • Received:2020-09-20 Online:2020-12-25 Published:2021-01-21

摘要: 为了研究不同麦区小麦(Triticum aestivum L.)种质资源在以襄阳市为代表的鄂北岗地品质表现及农艺性状变异情况,对226份小麦品种进行了农艺性状分析和品质指标测定,并对每穗粒数、千粒重、株高等5个农艺性状指标和包括蛋白质含量、湿筋含量、沉淀值等在内的11个品质指标相关数据进行了变异、相关性分析。结果表明,在鄂北岗地,不同品种的每穗粒数差异最大,千粒重、小穗数的差异较小,品质指标中容重变异最小,稳定时间变异最大。相关性分析结果表明,多个农艺、品质性状间存在显著相关性,在小麦育种及种质资源创新中要兼顾考虑,用于提高优质小麦的选择效率和综合评价的准确性。

关键词: 小麦(Triticum aestivum L.), 种质资源, 品质指标, 农艺性状, 变异分析, 相关分析

Abstract: The performance and variation of wheat (Triticum aestivum L.) quality and agronomic characters on wheat germplasm of different types planted in humpy ground in Xiangyang of northern Hubei province were studied. We have analyzed the agronomic characters and quality indices. The variation analysis and correlation analysis were made on five agronomic character indices including grain number per spike, 1 000-grain weight, plant height and 11 wheat quality indices such as protein content, wet gluten content and sedimentation value. The results of variation analysis showed that the grain number per spike had the highest variation, while the least variation was found on 1 000-grain weight and spikelet number. As for quality indices, the bulk density was with the smallest variation while stability time had the highest variation. Correlation analysis showed that significant positive correlations among the agronomic characters and quality indices. It should be considered in wheat breeding and germplasm resources innovation to improve the selection efficiency of high quality wheat and the accuracy of comprehensive evaluation.

Key words: wheat (Triticum aestivum L.), germplasm resources, quality index, agronomic characters, variation analysis, correlation analysis

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