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中国农学通报 ›› 2021, Vol. 37 ›› Issue (14): 9-14.doi: 10.11924/j.issn.1000-6850.casb2020-0380

所属专题: 小麦

• 农学·农业基础科学 • 上一篇    下一篇

新春系列不同小麦品种品质性状的分析与评价

雷建峰1(), 苏丽丽1, 赫云建2, 周桂玲1, 代培红1()   

  1. 1新疆农业大学农学院,乌鲁木齐 830052
    2乌鲁木齐米东区三道坝镇产业发展服务中心,乌鲁木齐 831404
  • 收稿日期:2020-08-19 修回日期:2020-11-16 出版日期:2021-05-15 发布日期:2021-05-19
  • 通讯作者: 代培红
  • 作者简介:雷建峰,男,1989年出生,河南人,博士研究生,研究方向:作物遗传育种。通信地址:830052 乌鲁木齐市沙依巴克区农大东路311号 新疆农业大学农学院,E-mail: 562190113@qq.com
  • 基金资助:
    国家自然科学基金项目“棒果芥属(广义)的系统学研究”(31160038)

Quality Characters of Wheat Varieties in Spring Series: Analysis and Evaluation

Lei Jianfeng1(), Su Lili1, He Yunjian2, Zhou Guiling1, Dai Peihong1()   

  1. 1College of Agronomy, Xinjiang Agricultural University, Urumqi 830052
    2Industrial Development Service Center of Sandaoba Town, Midong District, Urumqi 831404
  • Received:2020-08-19 Revised:2020-11-16 Online:2021-05-15 Published:2021-05-19
  • Contact: Dai Peihong

摘要:

为了探究新疆不同春小麦品种的品质特性,建立可靠的小麦品质评价体系,为新疆春小麦品质综合表现较为突出的品种的推广、选育及大规模的品质评价奠定基础。以9个新春系列小麦品种为试验材料,对其品质相关的14个指标进行测定,运用相关性分析、主成分分析和聚类分析方法对其品质进行分析和综合评价。结果表明利用相关性分析,14个单项测定指标之间存在或大或小的相关性,从而导致它们所提供的信息发生部分重叠;进一步通过主成分分析将14个单项指标转化为5个相互独立的综合指标,5个主成分的累计方差贡献率达94.46%,涵盖了原始测定指标所携带的绝大部分信息;通过隶属函数分析结合权重系数,得到不同小麦品质的综合评价值(D值);最后,通过聚类分析将9个小麦品种按品质优劣划分为3种类型,其中品质一般的1个品种,品质良好的4个品种,品质优的4个品种。‘新春37号’、‘新春41号’和‘新春38号’品质综合表现较为突出,可为新疆优质春小麦品种选育提供参考依据。

关键词: 新疆, 小麦, 新春系列小麦品种, 品质, 主成分分析, 聚类分析, 综合评价

Abstract:

The objectives are to explore the quality characteristics of different spring wheat varieties in Xinjiang, establish a reliable quality evaluation system for wheat, and lay a foundation for the promotion, breeding and large-scale quality evaluation of Xinjiang spring wheat varieties with outstanding comprehensive performance. Nine accessions of spring wheat lines were used as experimental materials, fourteen quality-related indexes were determined, and the wheat qualities were analyzed and comprehensively evaluated by correlation analysis, principal component analysis and cluster analysis. The results showed that there was a large or small correlation between the fourteen single indexes, which led to the partially overlapped information. Fourteen single indexes were further classified into five independent comprehensive indexes by principal component analysis. The cumulative variance contribution rate of the five principal component was 94.46%, which covered most of information carried by the original measurement indexes; According to membership function analysis combined with weight coefficient, the comprehensive evaluation value (D value) of different wheat varieties’ quality were obtained. Finally, the nine wheat varieties were divided into three types according to their quality by cluster analysis. Among them, there was one variety with general quality, four varieties with good quality and four varieties with high quality. The comprehensive quality performance of ‘Xinchun 37’, ‘Xinchun 41’ and ‘Xinchun 38’ is relatively outstanding, which can provide reference for selection and breeding of high-quality spring wheat varieties in Xinjiang.

Key words: Xinjiang, wheat, Xinjiang spring wheat varieties, quality, principal component analysis, cluster analysis, comprehensive evaluation

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