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草业学报 ›› 2026, Vol. 35 ›› Issue (6): 83-92.DOI: 10.11686/cyxb2025278

• 研究论文 • 上一篇    下一篇

三江源地区10份无芒雀麦资源农艺性状与生产性能综合评价

牛浴林1,2(), 包明芳1,2, 王文虎1,2, 陈鑫1,2, 刘凯强1,2, 刘文辉1,2, 秦燕1,2()   

  1. 1.青海大学畜牧兽医科学院,青海省畜牧兽医科学院,青海 西宁 810016
    2.青藏高原种质资源研究与利用实验室,青海 西宁 810016
  • 收稿日期:2025-07-03 修回日期:2025-09-03 出版日期:2026-06-20 发布日期:2026-04-13
  • 通讯作者: 秦燕
  • 作者简介:Corresponding author. E-mail: mule119@163.com
    牛浴林(1998-),男,青海海东人,在读硕士。E-mail:1468209515@qq.com
  • 基金资助:
    青藏高原种质资源研究与利用实验室(2025)和现代农业产业技术体系建设专项资金(CARS-34)

A multivariate evaluation of agronomic traits, yield and seed production in ten accessions of Bromus inermis from the Three-River-Source Region

Yu-lin NIU1,2(), Ming-fang BAO1,2, Wen-hu WANG1,2, Xin CHEN1,2, Kai-qiang LIU1,2, Wen-hui LIU1,2, Yan QIN1,2()   

  1. 1.Academy of Animal and Veterinary Sciences,Qinghai University,Qinghai Academy of Animal and Veterinary Sciences,Xining 810016,China
    2.Laboratory for Research and Utilization of Qinghai Xizang Plateau Germplasm Resources,Xining 810016,China
  • Received:2025-07-03 Revised:2025-09-03 Online:2026-06-20 Published:2026-04-13
  • Contact: Yan QIN

摘要:

为了筛选出适宜在环青海湖地区种植的优异无芒雀麦资源,本研究以三江源地区10份野生无芒雀麦种质资源为对象,于青海省海北州分析和比较不同种质资源间农艺性状及饲草产量、种子产量等生产性能,通过构建结构方程模型(SEM)揭示影响产量的关键农艺性状,采用TOPSIS-多准则决策模型对供试无芒雀麦资源的各项指标进行综合评价,为环青海湖地区无芒雀麦种植提供理论依据。结果显示:1)2龄时,GN-2210的株高、茎粗、叶面积和单株种子产量较大,分别为137.20 cm、5.18 mm、30.69 cm2和114.29 g·株-1;3龄时,GN-2210株高、茎粗、叶面积和单株种子产量达到最大,分别为111.80 cm、4.33 mm、25.73 cm2和106.30 g·株-1;2)分段式结构方程(SEM)模型分析表明,叶面积和分蘖数是影响无芒雀麦饲草产量的关键因子,而影响无芒雀麦种子产量的驱动因子为叶面积和茎粗;3)TOPSIS-多准则决策模型表明,GN-221种质资源在生物量积累、单株结实量方面均显著优于其他资源,适宜在青藏高原东部种植与推广。

关键词: 无芒雀麦, 生产性能, 资源, 综合评价

Abstract:

To screen for superior Bromus inermis genetic material suitable for cultivation in the area surrounding Qinghai Lake, this study utilized ten wild B. inermis germplasm lines from the Three-River-Source Region. The research was conducted in Haibei Prefecture, Qinghai Province and analyzed and compared agronomic traits of the germplasm lines, including forage yield and seed yield. A structural equation model (SEM) was constructed to identify key agronomic traits influencing yield. Additionally, the TOPSIS multi-criteria decision model was employed for a multi-trait evaluation of the tested B. inermis germplasm, to provide formal testing of B. inermis lines intended for cultivation around Qinghai Lake. It was found: 1) At two years old, variety GN-2210 exhibited greater plant height, stem diameter, leaf area, and seed yield per plant than other lines, measuring 137.20 cm, 5.18 mm, 30.69 cm2, and 114.29 g·plant-1, respectively. At three years old, the plant height, stem diameter, leaf area, and seed yield per plant of GN-2210 reached their maximum values of 111.80 cm, 4.33 mm, 25.73 cm2, and 106.30 g·plant-1, respectively. 2) Analysis using a piecewise SEM indicated that leaf area and tiller number were key factors affecting the forage yield of B. inermis, while the key factors influencing its seed yield were leaf area and stem diameter. 3) The TOPSIS multi-criteria decision model demonstrated that the GN-221 germplasm lines was significantly superior to other varieties in terms of biomass accumulation and seed yield per plant, making it suitable for cultivation and promotion in the eastern Qinghai-Tibet Plateau.

Key words: Bromus inermis, production performance, resources, comprehensive evaluation