中国农业科学 ›› 2024, Vol. 57 ›› Issue (19): 3730-3742.doi: 10.3864/j.issn.0578-1752.2024.19.002

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

环青海湖地区不同饲用燕麦品种生产性能和营养品质综合评价

王小军1(), 王金兰2, 琚泽亮1, 梁国玲1, 贾志锋1, 刘文辉1, 马祥1, 马金秀3, 李文1()   

  1. 1 青海大学畜牧兽医科学院/青海省畜牧兽医科学院/青海省青藏高原优良牧草种质资源利用重点实验室,西宁 810016
    2 青海大学省部共建三江源生态与高原农牧业国家重点实验室,西宁 810016
    3 青海雪峰牦牛乳业有限责任公司,青海共和 813000
  • 收稿日期:2024-03-18 接受日期:2024-04-24 出版日期:2024-10-01 发布日期:2024-10-09
  • 通信作者:
    李文,E-mail:
  • 联系方式: 王小军,E-mail:2486402375@qq.com。
  • 基金资助:
    国家重点研发计划(2022YFD1602307); 青海省帅才科学家负责制项目(2023-NK-147-1); 国家牧草产业技术体系(CARS-34)

Comprehensive Evaluation on Production Performance and Nutritional Quality of Different Varieties of Forage Oat in the Qinghai Lake Area

WANG XiaoJun1(), WANG JinLan2, JU ZeLiang1, LIANG GuoLing1, JIA ZhiFeng1, LIU WenHui1, MA Xiang1, MA JinXiu3, LI Wen1()   

  1. 1 Academy of Animal and Veterinary Sciences, Qinghai University/Qinghai Academy of Animal and Veterinary Sciences/Key Laboratory of Superior Forage Germplasm in the Qinghai-Tibetan Plateau, Xining 810016
    2 State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016
    3 Qinghai Xuefeng Yak Dairy Industry Company Limited, Gonghe 813000, Qinghai
  • Received:2024-03-18 Accepted:2024-04-24 Published:2024-10-01 Online:2024-10-09

摘要:

【目的】探讨10个燕麦品种在环青海湖地区的适应性,筛选适宜该区种植的高产、优质燕麦品种,为该区及类似区域高产、优质饲草生产提供数据支撑。【方法】以青海地区普遍种植的青海444(Avena sativa cv. Qinghai No.444)、白燕7号(A. sativa cv. Baiyan No.7)、青燕4号(A. sativa cv. Qingyan No.4)、青莜3号(A. nuda cv. Qingyou No.3)、青引2号(A. sativa cv. Qingyin No.2)、青燕3号(A. sativa cv. Qingyan No.3)、林纳(A. sativa cv. Lena)、青海甜燕麦(A. sativa cv. Qinghai)、青燕1号(A. sativa cv. Qingyan No.1)和陇燕1号(A. sativa cv. Longyan No.1)10个燕麦品种为材料,采用随机区组试验设计,各品种3个重复,共30个小区,小区面积3 m×5 m,小区间距1 m,区组间距3 m。人工条播种植,行距为25 cm,播深为3—4 cm。根据各品种的千粒重、纯净度和发芽率,按675万株/hm2保苗数计算各品种的播量。以150 kg·hm-2磷酸二铵和75 kg·hm-2尿素作基肥。大田试验分别于2022年5月16日和2023年5月19日播种,分别于2022年9月23日和2023年9月26日进行野外观测及样品采集。分析不同燕麦品种的生产性能和营养品质,采用分段结构方程模型探讨品种、种植年份及其交互作用对燕麦营养品质的影响过程及其路径系数,并采用TOPSIS-多准则决策模型对供试品种的生产性能和营养品质进行综合评价。【结果】青燕3号的株高(89.4—92.5 cm)显著最高,酸性洗涤纤维(34.8%—34.9%)和中性洗涤纤维含量(51.8%—53.4%)均显著最低;青燕4号的分蘖数(2.7—3.6枝/株)显著最高,粗灰分(10.9%—11.3%)含量显著最低;青燕4号和青燕3号干草产量、粗蛋白含量、相对饲用价值显著最高,而茎叶比显著最低;青燕1号粗脂肪含量(3.8%—3.9%)显著最高。皮尔森相关性分析结果显示,燕麦饲草产量与粗蛋白含量和相对饲用价值均呈显著正相关,与酸性洗涤纤维和粗灰分均呈显著负相关;茎叶比与酸性洗涤纤维和中性洗涤纤维含量均呈显著正相关,与粗蛋白及相对饲用价值均呈显著负相关。结构方程模型分析表明,品种、种植年份及其交互作用对燕麦的营养品质形成均有直接效应,还通过影响株高、分蘖数、茎叶比和草产量间接影响燕麦的营养品质,其中,茎叶比的总效应值最高,为-0.37。【结论】青燕4号和青燕3号既能维持较高的生产性能,又具有较好的营养品质,是环青海湖地区的理想种植燕麦品种。

关键词: 环青海湖地区, 燕麦, 生产性能, 营养品质, 综合评价

Abstract:

【Objective】In order to explore the adaptability of 10 oat (Avena sativa) varieties in the Qinghai Lake area and screen out the high-yield and high-quality oat varieties suitable for planting in this area, so as to provide data support for high-yield and high-quality forage production in this area and similar areas. 【Method】In this study, 10 oat varieties (Avena sativa cv. Qinghai No.444, A. sativa cv. Baiyan No.7, A. sativa cv. Qingyan No.4, A. nuda cv. Qingyou No.3, A. sativa cv. Qingyin No.2, A. sativa cv. Qingyan No.3, A. sativa cv. Lena, A. sativa cv. Qinghai, A. sativa cv. Qingyan No.1 and A. sativa cv. Longyan No.1) commonly cultivated in Qinghai province were used. The experiment was established using a randomized complete block design. Three experimental blocks, located at least 3 m away from each other, were randomly chosen. Each block contained 10 different oat varieties plots, for a total of 30 plots. The area of each plot was 3 m × 5 m. The experiment was sown in strip. The row spacing was 25 cm and the sowing depth was 3-4 cm. According to the thousand seed weight, purity and germination rate of each variety, the seeding rate of each variety was calculated according to the seedling protection number of 6.75 million plants/hm2. Moreover, the diammonium phosphate (150 kg·hm-2) and urea (75 kg·hm-2) were used as base fertilizer. The seeds were sown on May 16, 2022 and May 19, 2023, and field observations and sample collection were conducted on September 23, 2022 and September 26, 2023, respectively. The production performance and nutritional quality of oat varieties were analyzed, and the piecewise structural equation model was used to explore how varieties, planting years and their interactions affected nutritional quality via agronomic traits and yield traits. Furthermore, the multi-criterion decision model-TOPSIS (Technique for order preference by similarity to an ideal) was used to comprehensively evaluate the various indexes of the tested oat varieties. 【Result】Our results demonstrated that A. sativa cv. Qingyan No.3 had the highest plant height (89.4-92.5 cm), and the lowest acid detergent fiber (34.8%-34.9%) and neutral detergent fiber (51.8%-53.4%). The A. sativa cv. Qingyan No.4 had the most tillers number (2.7-3.6/plant) and the lowest crude ash content (10.9%-11.3%). The highest of forage yield, crude protein, relative feeding value were found in A. sativa cv. Qingyan No.3 and A. sativa cv. Qingyan No.4. while the stem/leaf ratio of the A. sativa cv. Qingyan No.3 and A. sativa cv. Qingyan No.4 were significantly lower than that of other varieties. The highest crude fat was found in A. sativa cv. Qingyan No.1 (3.8%-3.9%). The Pearson correlation analysis showed that the oat yield was positively correlated with crude protein content and relative feeding value, but negatively correlated with acid detergent fiber and crude ash. The stem/leaf ratio was positively correlated with acid detergent fiber and neutral detergent fiber, but negatively correlated with crude protein and relative feeding value. The structural equation model analysis showed that the varieties, planting years and their interactions had direct effects on the oat nutritional quality, and indirectly affected the nutritional quality by affecting plant height, tillering number, stem/leaf ratio and hay yield. The total effect value of stem/leaf ratio was the highest, which was -0.37.【Conclusion】The comprehensive evaluation of TOPSIS model showed that A. sativa cv. Qingyan No.4 and A. sativa cv. Qingyan No.3 could not only maintain higher production performance, but also have higher nutritional quality, which are ideal oat varieties for planting in Qinghai Lake area.

Key words: Qinghai Lake area, oat, production performance, nutritional quality, comprehensive evaluation