Evidence map›Paper›PMID 42514647›Full record

ArticleVeterinary sciences2026

A Residual-Based Mathematical Approach to Evaluate Production-Adjusted Nitrogen Use Efficiency and Metabolic Responses in Dairy Cows.

Yunfei Zhai, Jiaxuan Song, Hantong Weng, Haihui Wang, Tianqin Hu, Zhaoyu Han

Abstract read
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Article in Veterinary sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yunfei ZhaiInstitute of Dairy Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0009-0002-6080-4396
Jiaxuan SongInstitute of Dairy Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Hantong WengInstitute of Dairy Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0009-0003-2606-271X
Haihui WangInstitute of Dairy Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Tianqin HuTechnical Promotion Department, Qinghai Provincial Animal Genetic Resources Protection and Utilization Center, Xining 810000, China.
Zhaoyu HanInstitute of Dairy Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.

Funding

Jiangsu Agricultural Industry Technology System JATS [2023] 427Jiangsu Province Key Technologies Integration and Demonstration JCTG [2025] 19
6 · The paper itself

Abstract

Nitrogen use efficiency (NUE) is commonly calculated as the ratio of milk nitrogen output to nitrogen intake in dairy cows. However, because milk nitrogen output is intrinsically determined by milk production and nitrogen intake is largely driven by dry matter intake, conventional NUE is mathematically dependent on production level and feed intake. This dependency makes it difficult to distinguish apparent efficiency caused by higher milk yield from intrinsic biological efficiency in nitrogen utilization. Therefore, this study aimed to evaluate NUE in dairy cows using a combined mathematical and metabolic framework based on residual NUE (rNUE) analysis. A total of 126 early-lactation Chinese Holstein cows were screened, and 16 high-NUE and 16 low-NUE cows were selected after matching for parity, days in milk, and dry matter intake. High-NUE cows had greater milk yield, milk nitrogen output, and NUE than low-NUE cows, despite similar nitrogen intake. They also exhibited higher ruminal microbial crude protein and ammonia nitrogen concentrations, a lower acetate-to-propionate ratio, and reduced circulating essential and total amino acid concentrations. Multiple regression analysis showed that energy-corrected milk and dry matter intake explained 71.4% of the variation in NUE. The residuals from this model were defined as rNUE, which was independent of milk production. After removing production-related effects, rNUE remained positively associated with ruminal microbial crude protein and ammonia nitrogen concentrations, and negatively associated with the acetate-to-propionate ratio and circulating amino acid pools. These findings indicate that conventional NUE in dairy cows is largely driven by production level, whereas residual-based modeling can identify a production-independent component associated with rumen nitrogen metabolism and amino acid utilization. The residual NUE approach provides a useful mathematical and metabolic framework for evaluating intrinsic NUE in dairy cows beyond milk production level.

Indexed as

amino acid metabolismdairy cowsmathematical modelingmetabolic efficiencynitrogen use efficiencyresidual NUErumen fermentation

Identifiers

PMID42514647
PMCPMC13417801

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.