Predicted Accuracy of Performance Based on CPM-Dairy Software Evaluated Feed Effective Nutritional Value and Effects of Evaluated Feed Effective Nutritional Value on Ruminal Microflora and Serum Biochemical Indexes in Dairy Cows

WU Shengru; QIAO Yu; ZHENG Chen; ZHAO Congcong; LEI Xinjian; CAO Yangchun; YAO Junhu

doi:10.3969/j.issn.1006-267x.2020.10.041

2020 , Vol. 32 >Issue 10: 4904 - 4913

DOI: https://doi.org/10.3969/j.issn.1006-267x.2020.10.041

Predicted Accuracy of Performance Based on CPM-Dairy Software Evaluated Feed Effective Nutritional Value and Effects of Evaluated Feed Effective Nutritional Value on Ruminal Microflora and Serum Biochemical Indexes in Dairy Cows

WU Shengru ,
QIAO Yu ,
ZHENG Chen ,
ZHAO Congcong ,
LEI Xinjian ,
CAO Yangchun ,
YAO Junhu

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1. College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China;
2. Yangling Vocational and Technical College, Yangling 712100, China

Received date: 2020-04-10

Online published: 2020-10-22

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Abstract

This experiment was conducted to investigate the predicted accuracy of performance based on the evaluated feed effective nutritional value using Cornell-Penn-Miner (CPM)-dairy software through comprehensively evaluated the serum biochemical indexes, rumen fermentation parameters and ruminal microflora of dairy cows, in order to provide new evidence to use the CPM-Dairy software in dairy cow feed production. Based on a 4×4 Latin square design, four healthy dairy cows with similar condition were selected, and fed with 4 different diets in 4 periods. By using the CPM software, 4 diets with different additive amounts (0, 300, 600, and 900 g/d) of corn starch but with the same levels of lactation net energy, metabolic energy and metabolic protein. The experiment was divided into 4 periods, and 35 days in each period. Each period consisted 15 d of pretrial period and 20 d of trial period (the last 6 d of trial period was sample period. Rumen fluid blood and milk samples were collected to measure rumen fermentation parameters, serum biochemical indexes, milk performance and ruminal microflora. The results showed that the dry matter intake, rumen fermentation parameters, serum biochemical indexes and milk performance were not significantly affected by 4 diets which had similar effective nutritional value evaluated by CPM-Dairy dairy software (P>0.05). The actual milk yield was 22.30 to 23.60 kg/d, which was not significantly different with the milk yield predicted by metabolic protein (MP)(P>0.05), but significantly different from the milk yield predicted by metabolic energy (ME) (P<0.05). Moreover, 4 diets were not significantly affected the microbial diversity and richness (P>0.05), but significantly affected the abundances of Prevotella 7 and norank_f_Bacteroidales_RF-16_group (P<0.05). In conclusion, the effective nutritional value (net energy of lactation, ME and MP) in diet predicted by the CPM-Dairy software can effectively predict the performance of dairy cows. The absence of metabolic protein is the main reason which limits the performance of dairy cows in the present study.

Key words： CPM-Dairy software; dairy cows; ruminal microflora; metabolic energy; metabolic protein; corn starch

Cite this article

WU Shengru , QIAO Yu , ZHENG Chen , ZHAO Congcong , LEI Xinjian , CAO Yangchun , YAO Junhu . Predicted Accuracy of Performance Based on CPM-Dairy Software Evaluated Feed Effective Nutritional Value and Effects of Evaluated Feed Effective Nutritional Value on Ruminal Microflora and Serum Biochemical Indexes in Dairy Cows[J]. Chinese Journal of Animal Nutrition, 2020 , 32(10) : 4904 -4913 . DOI: 10.3969/j.issn.1006-267x.2020.10.041

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