Construction and Application of Near Infrared Reflectance Spectroscope Rapid Detection Model for Routine Nutritional Components Contents of Total Mixed Ration in Dairy Cattle

CAO Mingyue; ZHNEG Airong; LOU Yuanzhi; LI Xian; MA Aihua; LAN Jian; LAN Zunhai

doi:10.3969/j.issn.1006-267x.2020.07.052

2020 , Vol. 32 >Issue 7: 3420 - 3427

DOI: https://doi.org/10.3969/j.issn.1006-267x.2020.07.052

Construction and Application of Near Infrared Reflectance Spectroscope Rapid Detection Model for Routine Nutritional Components Contents of Total Mixed Ration in Dairy Cattle

CAO Mingyue ,
ZHNEG Airong ,
LOU Yuanzhi ,
LI Xian ,
MA Aihua ,
LAN Jian ,
LAN Zunhai

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1. Henan Hai-Rui-Zheng Testing Technology Co., Ltd., Zhengzhou 450001, China;
2. Forage Feeds Service Station of Henan Province, Zhengzhou 450008, China;
3. Yanjin Agricultural and Rural Rureau, Yanjin 453200, China;
4. Zhumadian Veterinary Drug Feed(Animal Products) Quality Inspection and Monitoring Center, Zhumadian 463000, China;
5. Henan University of Animal Husbandry and Economy, Zhengzhou 450046, China

Received date: 2020-01-15

Online published: 2020-07-15

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Abstract

This experiment was aimed to establish the prediction model of routine nutritional components contents of total mixed ration (TMR) by near infrared reflectance spectroscope (NIRS) technique, and explore its feasibility. A population of 542 TMR samples were divided into calibration set (n=481) and verification set (n=61). Using partial least squares (PLS) method with four spectral pretreatments and ten derivative treatments, the prediction models of 7 kinds of routine nutrient[dry matter (DM), crude protein(CP), ether extract (EE), Starch, neutral detergent fiber (NDF), acid detergent fiber (ADF) and total amino acid (total AA)] contents in TMR were established and verified the accuracy of models. The results showed that the coefficient of determination for validation (RSQ_V) and ratio of performance to deviation for validation (RPD_V) of CP content were the highest, while those of DM, NDF, ADF and total AA contents were slightly lower than those of CP. RSQ_V and RPD_V of DM, CP, NDF, ADF and total AA contents were more than 0.83 and 2.50, respectively, indicating that the modeling effect of the five indexes were good and could be used to detect the actual content. However, the RSQ_V of EE content was 0.788 and less than 0.80, while the RPD_V was 2.192 and less than 2.50. It showed that the model of EE content could be predicted roughly and could not be used to detect the actual content. The RSQ_V of Starch was 0.562 and less than 0.66, while the RPD_V was 1.504, which was less than 2.00. It showed that the predictive effect was unsatisfying and the contents of Starch could not be predicted. It is concluded that the contents of DM, CP, NDF, ADF and total AA in TMR can be accurately predicted by NIRS technology, the contents of EE can be predicted roughly, while the contents of Starch cannot be predicted, which improves the convenience for the rapid test and database of the TMR nutrient.

Key words： NIRS; TMR; routine nutritional components

Cite this article

CAO Mingyue , ZHNEG Airong , LOU Yuanzhi , LI Xian , MA Aihua , LAN Jian , LAN Zunhai . Construction and Application of Near Infrared Reflectance Spectroscope Rapid Detection Model for Routine Nutritional Components Contents of Total Mixed Ration in Dairy Cattle[J]. Chinese Journal of Animal Nutrition, 2020 , 32(7) : 3420 -3427 . DOI: 10.3969/j.issn.1006-267x.2020.07.052

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