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草业学报 ›› 2025, Vol. 34 ›› Issue (11): 150-160.DOI: 10.11686/cyxb2024481

• 研究论文 • 上一篇    

饲草中性洗涤纤维48 h消化率预测模型的构建

梁韵仪1(), 陈雅坤1, 何可可1,2, 杨嘉宇1,3, 赵连生1(), 卜登攀1()   

  1. 1.中国农业科学院北京畜牧兽医研究所,畜禽营养与饲养全国重点实验室,北京 100193
    2.新疆农业大学动物科学学院,新疆肉乳用草食动物营养实验室,新疆 乌鲁木齐 830052
    3.山西农业大学动物科学学院,山西 太谷 030801
  • 收稿日期:2024-12-03 修回日期:2025-02-17 出版日期:2025-11-20 发布日期:2025-10-09
  • 通讯作者: 赵连生,卜登攀
  • 作者简介:aaronann@163.com
    E-mail: budengpan@126.com
    梁韵仪(1994-),女,内蒙古锡林郭勒盟人,在读博士。E-mail: yunyi5553@163.com
  • 基金资助:
    国家重点研发计划(2022YFD1301002);云南省重大科技专项计划(202402AE090032);中国农业科学院科技创新工程(ASTIP-IAS-17);首农食品集团自立科技项目(SNSPKJ(2022)02);家畜产业技术体系北京市创新团队(BAIC05-2024)

Construction of a predictive model for the 48-hour digestibility of neutral detergent fiber in forage

Yun-yi LIANG1(), Ya-kun CHEN1, Ke-ke HE1,2, Jia-yu YANG1,3, Lian-sheng ZHAO1(), Deng-pan BU1()   

  1. 1.State Key Laboratory of Animal Nutrition and Feeding,Institute of Animal Science,Chinese Academy of Agricultural Sciences,Beijing 100193,China
    2.Xinjiang Key Laboratory of Herbivore Nutrition for Meat & Milk,College of Animal Science,Xinjiang Agricultural University,Urumqi 830052,China
    3.College of Animal Science,Shanxi Agriculture University,Taigu 030801,China
  • Received:2024-12-03 Revised:2025-02-17 Online:2025-11-20 Published:2025-10-09
  • Contact: Lian-sheng ZHAO,Deng-pan BU

摘要:

饲草等粗饲料是反刍动物日粮纤维的主要来源。中性洗涤纤维(NDF)是衡量饲草纤维含量的重要指标,其消化率是评估饲草质量、动物干物质采食量的关键参数。目前常用体外48 h NDF消化率(NDFD48)评估饲草NDF的可消化情况。准确测定粗饲料NDFD48值对精准平衡动物日粮具有指导意义。目前粗饲料NDFD48可用瘤胃尼龙袋法、实验室半体内法测定或近红外快速检测,但通常受测定试验条件和仪器设备等制约。基于NDFD48的生物学意义,旨在拟合构建估测NDFD48的计算方法。利用奶牛营养需要(NASEM,2021)中饲草纤维指标[NDF和酸性洗涤纤维(ADF)]及消化率指标(NDFD48)作为测试集,构建了NDFD48模型,并选取Journal of Dairy Science期刊中14篇文章的相关指标及本实验室实测指标作为2套验证集,对模型进行了验证。结果发现,NDFD48计算值与2套NDFD48实测值均具有显著相关性(P<0.001),R2分别为0.89和0.85。利用一致性相关系数(CCC)对模型进行验证,相关性达到0.93和0.91。此模型检测指标少,计算简便,精准度高。模型评估表明,该模型可为生产应用及饲草营养预判提供理论参考。

关键词: 粗饲料, 纤维消化率, 简化算法

Abstract:

Forage is the primary source of dietary fiber for ruminants. Neutral detergent fiber (NDF) is an important indicator used to measure the fiber content of roughage. Its digestibility is a key parameter for evaluating forage quality and animal dry matter intake. Currently, the in vitro 48-hour NDF digestibility (NDFD48) is commonly used to assess forage NDF digestibility. An accurate measure of the NDFD48 value of roughage is important for balancing animal diets. Presently, roughage NDFD48 can be measured using the rumen nylon bag technique, laboratory semi-in vitro methods, or near-infrared spectroscopy, but these are often constrained by test conditions and unavailability of equipment. Given the biological significance of NDFD48, this study aimed to develop a computational method to predict NDFD48. Fiber indicators (NDF and acid detergent fiber, ADF) and digestibility indicators (NDFD48) from NASEM (2021) were used as a test set to build the NDFD48 model. Fourteen articles from the Journal of Dairy Science along with relevant indicators, and laboratory-measured values, were selected as two validation sets for the model. The results showed that the calculated NDFD48 values were significantly correlated with the measured NDFD48 values in the two validation sets (P<0.001), with R2 values of 0.89 and 0.85, respectively. The model was further validated using the concordance correlation coefficient (CCC), achieving CCC values of 0.93 and 0.91. This model requires fewer input indicators, is easy to compute, and demonstrates high accuracy. Based on the evaluation performed here, the model can provide forage NDF estimates suitable for production applications and forage nutrition prediction.

Key words: roughage, fiber digestibility, simplified algorithm