Near Infrared Prediction Model Establishment for Routine Nutritional Component Contents of Alfalfa Hay

HE Yun; ZHANG Liang; WU Xiaojiao; ZHNEG Airong; LIU Wei; HE Yonghui; NIU Yan; WANG Yuexian; ZHANG Xiaoxia

doi:10.3969/j.issn.1006-267x.2019.10.033

Chinese Journal of Animal Nutrition >

2019 , Vol. 31 >Issue 10: 4684 - 4690

DOI: https://doi.org/10.3969/j.issn.1006-267x.2019.10.033

Near Infrared Prediction Model Establishment for Routine Nutritional Component Contents of Alfalfa Hay

HE Yun ,
ZHANG Liang ,
WU Xiaojiao ,
ZHNEG Airong ,
LIU Wei ,
HE Yonghui ,
NIU Yan ,
WANG Yuexian ,
ZHANG Xiaoxia

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1. College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang 453003, China;
2. Forage and Feed Station of Henan Province, Zhengzhou 450008, China

Received date: 2019-03-13

Online published: 2019-10-17

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Abstract

In order to establish the near infrared prediction model of routine nutritional component contents of alfalfa hay used by manufacturing enterprises, a total of 265 alfalfa hay bale samples were collected from dairy farms and forage production enterprises in nine provinces. Using near-infrared spectroscopy by partial least squares (PLS) method with four spectral pretreatments and ten derivative treatments, this study established the near infrared prediction models of five indexes[including dry matter (DM), crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF) and ash (Ash) contents] of the alfalfa hay. The results showed that the coefficient of determination for validation (RSQ_V) and the ratio of performance to deviation for validation (RPD_V) of CP content were the highest, while those of DM, NDF and ADF contents were slightly lower than those of CP content. The RSQ_V and RPD_V of DM, CP, NDF and ADF contents were higher than 0.80 and 2.50, respectively, indicating that the modeling effects of the four indexes were good and could be used to detect the actual content. However, the RSQ_V of Ash content was 0.793 and was lower than 0.80, while the RPD_V was 2.102 and was lower than 2.50. It showed that the model of Ash content could only be used for the rough prediction and could not be used to detect the actual content. In conclusion, the near-infrared prediction models of DM, CP, NDF and ADF contents of alfalfa hay are preliminarily established, which improves the convenience for the rapid and efficient determination of these four indexes in production.

Key words： near-infrared spectroscopy; alfalfa hay; routine nutritional components

Cite this article

HE Yun , ZHANG Liang , WU Xiaojiao , ZHNEG Airong , LIU Wei , HE Yonghui , NIU Yan , WANG Yuexian , ZHANG Xiaoxia . Near Infrared Prediction Model Establishment for Routine Nutritional Component Contents of Alfalfa Hay[J]. Chinese Journal of Animal Nutrition, 2019 , 31(10) : 4684 -4690 . DOI: 10.3969/j.issn.1006-267x.2019.10.033

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