内蒙古地区温性荒漠草原牧草营养指标近红外光谱分析  

Near-infrared reflectance spectroscopy analysis of forage nutrition indexes of temperate desert steppe in Inner Mongolia

作　　者：贺梦婷 吕广一 蔡君 王成杰 HE Mengting;LYU Guangyi;CAI Jun;WANG Chengjie(College of Grassland and Resource Environment,Inner Mongolia Agricultural University,Hohhot 010018,China;Inner Mongolia Erdos Resources Co.,Ltd.,Erdos 017000,China)

机构地区：[1]内蒙古农业大学草原与资源环境学院,呼和浩特010018 [2]内蒙古鄂尔多斯资源股份有限公司,内蒙古鄂尔多斯017000

出　　处：《黑龙江畜牧兽医》2024年第1期90-95,共6页Heilongjiang Animal Science And veterinary Medicine

基　　金：内蒙古自治区“科技兴蒙”国际合作引导项目(2021CG0020)。

摘　　要：为了对内蒙古地区温性荒漠草原牧草的营养成分进行快速检测,试验以85份混合鲜草为研究对象采用偏最小二乘(partial least square regression,PLS)法建立干物质(dry matter,DM)、粗蛋白(crude protein,CP)、酸性洗涤纤维(acid detergent fiber,ADF)、中性洗涤纤维(neutral detergent fiber,NDF)、粗脂肪(ether extract,EE)和粗灰分(crude ash,Ash)含量的近红外光谱(near-infrared reflectance spectroscopy,NIRS)预测模型。结果表明:DM、NDF、ADF和Ash的定标集决定系数(R2)分别为0.985,0.728,0.749,0.727,验证集R2分别为0.848,0.536,0.673,0.741,验证相对分析误差(ratio of performance to deviation for validation,RPD)为8.163,1.899,1.927,1.878(均大于1.75),建立的定标模型预测准确度较高,可以用于实际应用;CP和EE的定标集R2分别为0.195和0.536,RPD为1.117和1.479(均小于1.75),验证集R2均小于0.49,模型精度有待提高。说明NIRS技术可用于天然混合牧草营养价值的评定。In order to quickly detect the nutritional components of the forage in the temperate desert steppe in Inner Mongolia,85 mixed fresh grasses were collected in the experiment,and the partial least squares regression method was used to establish a near-infrared reflectance spectroscopy(NIRS)predicted model for dry matter(DM),crude protein(CP),acid detergent fiber(ADF),neutral detergent fiber(NDF),ether extract(EE)and crude ash(Ash).The results showed that the determination coefficient(R2)of calibration set of DM,NDF,ADF and Ash were 0.985,0.728,0.749 and 0.727,respectively.The R2 of validation set were 0.848,0.536,0.673,0.741,respectively.The ratio of performance to deviation for validation(RPD)values were 8.163,1.899,1.927,1.878(all greater than 1.75),and the prediction accuracy of the established calibration model was high,which could be used for accurate detection in actual production.The R2 of calibration set of CP and EE were 0.195 and 0.536,respectively.RPD was 1.117 and 1.479(both less than 1.75),respectively.The validation set R2 were less than 0.49,so the accuracy of the model needs to be improved.The results indicated that NIRS could be used to evaluate the nutritional indexes of natural mixed forage.

关 键 词：温性荒漠草原 牧草 营养指标 化学测定 近红外光谱 预测模型 

分 类 号：S916.5[农业科学—水产科学]