Predicting nitrogen use efficiency,nitrogen loss and dry matter intake of individual dairy cows in late lactation by including mid‑infrared spectra of milk samples

作     者：Rui Shi Wenqi Lou Bart Ducro Aart van der Linden Han A.Mulder Simon J.Oosting Shengli Li Yachun Wang Rui Shi;Wenqi Lou;Bart Ducro;Aart van der Linden;Han A.Mulder;Simon J.Oosting;Shengli Li;Yachun Wang

作者机构：Laboratory of Animal GeneticsBreeding and ReproductionMinistry of Agriculture of ChinaNational Engineering Laboratory of Animal BreedingCollege of Animal Science and TechnologyChina Agricultural UniversityBeijing 100193China Wageningen University&Research Animal Breeding and GenomicsP.O.Box 3386700 AH Wageningenthe Netherlands Animal Production System GroupWageningen University&ResearchP.O.Box 3386700 AH Wageningenthe Netherlands 

出 版 物：《Journal of Animal Science and Biotechnology》 (畜牧与生物技术杂志（英文版）)

年 卷 期：2023年第14卷第3期

页      面：1287-1299页

核心收录：

学科分类：0905[农学-畜牧学] 09[农学] 

基　　金：supported by the earmarked fund for China Agriculture Research System (CARS-36) the Key Research Project of Henan Province (221111111100) the Key Research Project of Ningxia Hui Autonomous Region (2022BBF02017) the Program for Changjiang Scholar and Innovation Research Team in University (IRT_15R62) China Scholarship Council (No.201913043) Hainan University 

主　　题：Dairy cow Environment Mid-infrared spectra Nitrogen use efficiency Prediction 

摘      要：Background Nitrate leaching to groundwater and surface water and ammonia volatilization from dairy farms have negative impacts on the ***,the increasing demand for dairy products will result in more pollution if N losses are not ***,a more efficient,and environmentally friendly production system is needed,in which nitrogen use efficiency(NUE)of dairy cows plays a key *** genetically improve NUE,extensively recorded and cost-effective proxies are essential,which can be obtained by including mid-infrared(MIR)spectra of milk in prediction models for *** study aimed to develop and validate the best prediction model of NUE,nitrogen loss(NL)and dry matter intake(DMI)for individual dairy cows in *** A total of 86 lactating Chinese Holstein cows were used in this *** data editing,704 records were obtained for calibration and *** prediction models with three different machine learning algorithms and three kinds of pre-processed MIR spectra were developed for each *** showed that the coefficient of determination(R2)of the best model in within-herd validation was 0.66 for NUE,0.58 for NL and 0.63 for *** external validation,reasonable prediction results were only observed for NUE,with R2 ranging from 0.58 to 0.63,while the R2 of the other two traits was below *** infrared waves from 973.54 to 988.46 cm−1 and daily milk yield were the most important variables for *** The results showed that individual NUE can be predicted with a moderate accuracy in both within-herd and external *** model of NUE could be used for the datasets that are similar to the calibration *** prediction models for NL and 3-day moving average of DMI(DMI_a)generated lower accuracies in within-herd *** also indicated that information of MIR spectra variables increased the predictive ability of ***,pre-processed MIR spectra do not result in higher acc