Construction of Near Infrared Spectroscopy Calibration Model for Nutrient Contents of Cattle and Sheep Concentrate Supplements
The aim of this study was to establish the rapid prediction models for the contents of seven conven-tional nutrients[moisture,organic matter(OM),crude protein(CP),neutral detergent fiber(NDF),acid detergent fiber(ADF),ether extract(EE)and ash(Ash)]and five mineral elements(potassium,phosphor-us,sodium,magnesium and iron)in cattle and sheep concentrate supplements by near infrared spectroscopy(NIRS)combined with modified partial least squares(MPLS).The results showed as follows:1)in conven-tional nutrients,the coefficient of determination in prediction(RP2)and relative prediction deviation(RPD)of Ash content prediction model were 0.74 and 1.96,respectively,which could be used for rapid screening analy-sis;the RP2 and RPD of moisture,OM,CP,NDF,ADF and EE content prediction models were 0.90 to 0.98 and 2.95 to 6.66,respectively,which could be used for actual quantitative analysis.2)In mineral elements,the RP of potassium and iron content prediction models were 0.70 and 0.73,respectively,and the RPD were 1.84 and 1.83,respectively,which could be used for rapid screening analysis;the RP2 of phosphorus,sodium and magnesium content prediction models were 0.56,0.31 and 0.63,respectively,and the RPD were 1.50,1.12 and 1.65,respectively,which needed to be further adjusted and optimized for practical production.In conclusion,this study successfully establish NIRS rapid prediction models for the nutrient and mineral element content of cattle and sheep concentrate supplements,most of the component predictions have high accuracy,but some mineral element models need further optimization.[Chinese Journal of Animal Nutrition,2024,36(12):8088-8099]
near infrared spectroscopyconcentrate supplementsconventional nutrientsmineral elementsrapid prediction model
万方数据
维普
