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中国农学通报 ›› 2026, Vol. 42 ›› Issue (11): 24-31.doi: 10.11924/j.issn.1000-6850.casb2025-0649

• 农学·农业基础科学 • 上一篇    下一篇

华北夏谷区谷子农艺性状与产量的综合分析

王淑婷(), 秦家范(), 刘忠玲, 李小艳, 韩聚东, 褚莹莹, 孙晓娟   

  1. 洛阳市农林科学院, 河南洛阳 471023
  • 收稿日期:2025-08-05 修回日期:2026-01-17 出版日期:2026-06-12 发布日期:2026-06-12
  • 通讯作者:
    秦家范,男,1972年出生,研究员,研究方向:谷子新品种选育及配套栽培技术研究。通信地址:471023 河南省洛阳市洛龙区农科路1号 洛阳市农林科学院甘薯谷子研究所,E-mail:
  • 作者简介:

    王淑婷,女,1998年出生,山东菏泽人,研究实习员,硕士,研究方向:谷子新品种选育及配套种植技术研究。通信地址:471023 河南洛阳市洛龙区农科路1号 洛阳市农林科学院甘薯谷子研究所,E-mail:

  • 基金资助:
    河南省农业良种联合攻关项目“节水耐瘠高产杂粮新品种选育与应用”(2022010401); 河南省甘薯杂粮产业技术体系(HARS-22-04-S)

Comprehensive Analysis of Agronomic Traits and Yield of Millet in Summer Millet Area of North China

WANG Shuting(), QIN Jiafan(), LIU Zhongling, LI Xiaoyan, HAN Judong, CHU Yingying, SUN Xiaojuan   

  1. Luoyang Academy of Agriculture and Forestry Sciences, Luoyang, Henan 471023
  • Received:2025-08-05 Revised:2026-01-17 Published:2026-06-12 Online:2026-06-12

摘要:

为筛选适合华北夏谷区夏播的谷子品种,本研究利用2023年全国谷子品种区域试验数据,对21个参试谷子品种(系)的主要产量相关性状及抗性相关性状进行灰色关联分析和隶属函数分析,旨在明确各农艺性状与产量之间的关系,为华北夏谷区谷子品种的布局和育种提供理论依据。结果表明,穗粒重的变异系数最高为8.24%,出米率的变异系数相对较低为1.41%;产量与单穗重(0.7409)、穗粒重(0.7321)关联度较高。隶属函数分析结果显示,‘中杂谷76’的穗部性状表现优异,其中穗长(0.9722)、穗粗(1)、单穗重(1)、穗粒重(1)、千粒重(1)均具有较高的隶属度值;加工品质方面也较好,其出米率数值为0.8652。同时,‘中杂谷72’在穗部性状中也表现突出,穗长隶属值达1,穗粗(0.8621)、单穗重(0.7432)、穗粒重(0.8)和千粒重(0.9773)也处于较高水平,其出米率为0.9265。此外,这2个品种在耐涝性与抗倒性方面隶属函数值均为1,表明在这两项抗性上表现较好。然而,二者在抗病性(包括谷锈病、纹枯病及白发病)方面表现中等,仍有进一步改良的空间。‘豫谷49’、‘豫谷52’在谷瘟病、谷锈病抗性(隶属函数值均为1)上表现优异,但穗部性状和产量稳定性稍弱,适合在病害高发区推广。高产优质谷子需兼顾穗型、品质与抗逆性。综合来看,‘中杂谷76’和‘中杂谷72’综合性能优异,具有推广潜力,而豫谷系列抗病基因突出,具重要育种价值。

关键词: 谷子, 灰色关联分析, 隶属函数分析, 综合评价, 谷子选育

Abstract:

To breed millet varieties suitable for summer sowing in the summer millet area of North China, using the regional trial data of millet varieties across the country in 2023, grey correlation analysis and membership function analysis were conducted on the main yield-related traits and resistance-related traits of 21 millet varieties (lines) participating in the trial to explore the relationship between agronomic traits and yield. The results showed that the coefficient of variation of grain weight of spike was the highest at 8.24%, while the coefficient of variation of yield rate of millet was relatively low at 1.41%. The yield was highly correlated with the weight per spike (0.7409) and the grain weight of spike (0.7321). The results of membership function analysis showed that the panicle traits of ‘Zhongzagu 76’performed exceptionally well, among which spike length (0.9722), spike thickness (1), weight per ear (1), grain weight per ear (1), and thousand kernel weight (1) all had higher membership values; the processing quality was also good, with its yield rate of millet value of 0.8652. At the same time, ‘Zhongzagu 72’ was also outstanding in panicle characters, with spike length belonging to 1, spike thickness (0.8621), weight per ear (0.7432), grain weight per ear (0.8) and thousand kernel weight (0.9773) were also at a high level, and its yield rate of millet was 0.9265. In addition, the membership function values of these two varieties in terms of waterlogging tolerance and lodging resistant were both 1, indicating good performance in these two resistances. However, both of them performed moderately in terms of disease resistance (including foxtail millet rust, sheath blight and sclerospora graminicola), and there was still room for further improvement. ‘Yugu 49’ and ‘Yugu 54’ performed well in terms of foxtail millet blast and foxtail millet rust (membership function values are both 1), but their panicle traits and yield stability were slightly weaker, making it suitable for promotion in areas with a high incidence of diseases. High-yield and high-quality millet requires a balance between panicle shape, quality and stress resistance. ‘Zhongzagu 76’ and ‘Zhongzagu 72’ have excellent comprehensive performance, and the disease-resistant genes of the Yugu series are prominent, making it of significant breeding value.

Key words: millet, grey relational analysis, membership function analysis, comprehensive evaluation, selection and breeding of millet

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