Evidence map›Paper›PMID 40487098›Full record

ArticleAnimal nutrition (Zhongguo xu mu shou yi xue hui)2025

Impacts of dietary arginine supplementation on performance, nutrient digestion and expression of proteins related to milk fatty acid and casein synthesis in early lactating dairy cows.

Jing Zhang, Jiaojiao Lang, Lijun Bu, Yapeng Liu, Wenjie Huo, Caixia Pei, Qiang Liu

Abstract read
In one paragraph

Article in Animal nutrition (Zhongguo xu mu shou yi xue hui), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jing ZhangCollege of Animal Science, Shanxi Agricultural University, Taigu 030801, Shanxi, China.
Jiaojiao LangCollege of Animal Science, Shanxi Agricultural University, Taigu 030801, Shanxi, China.
Lijun BuCollege of Animal Science, Shanxi Agricultural University, Taigu 030801, Shanxi, China.
Yapeng LiuCollege of Animal Science, Shanxi Agricultural University, Taigu 030801, Shanxi, China.
Wenjie HuoCollege of Animal Science, Shanxi Agricultural University, Taigu 030801, Shanxi, China.
Caixia PeiCollege of Animal Science, Shanxi Agricultural University, Taigu 030801, Shanxi, China.
Qiang LiuCollege of Animal Science, Shanxi Agricultural University, Taigu 030801, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arginine (Arg) can potentially increase milk yields in early lactating dairy cows by stimulating the development of mammary gland and the biosynthesis of milk proteins and fatty acids (FA); however, the underlying mechanism is still unclear. The hypothesis that rumen-protected Arg addition would increase milk, milk fat, and milk protein yields was tested, aiming to dlucidate the possible mechanism. Forty-eight multiparous Chinese Holstein dairy cows (milk yield 34.9 ± 1.27 kg/d, body weight 658 ± 12.7 kg, and days in lactation [DIL] 16.4 ± 2.56) were selected on the principle of proximity and blocked by DIL and milk yield, and divided into one of four groups in a randomized block design: control (without RPArg), low RPArg (LRPArg; 20 g/d Arg), medium RPArg (MRPArg; 40 g/d Arg), and high RPArg (HRPArg; 60 g/d Arg), 4 replicates per group and 3 cows per replicate and the experiment duration was 95 days, including a 10-d covariate period, a 15-d adaptation period, and a 70-d sampling period. The production of actual milk, energy-corrected milk, fat-corrected milk, milk fat, and milk protein linearly increased (

Indexed as

ArginineDairy cowMammary glandMilk fatty acidMilk proteinNutrient digestibility

Identifiers

PMID40487098
PMCPMC12145670

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Registered trials

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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 OpenQuestion graph.