Evidence map›Paper›PMID 40575583›Full record

ArticleFrontiers in veterinary science2025

Comparative analysis of milk production, composition, and plasma metabolomics across various dairy goat breeds in Yunnan Province, China.

Xun Xiang, Hua Chang, Samiullah Khan, Ibrar Muhammad Khan, Feiyan Zhu, Linfu Yang, Gang Duan, Jiming Li, Nourhan Nassar, Feiyan Dai and 1 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

11 authors.

Xun Xiang *College of Animal Science and Technology in Yunnan Agricultural University, Kunming, China.
Hua Chang *College of Veterinary Medicine in Yunnan Agricultural University, Kunming, China.
Samiullah KhanGuizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, China.
Ibrar Muhammad KhanSchool of Life Science, Anhui Agricultural University, Hefei, China.
Feiyan ZhuCollege of Animal Science and Technology in Yunnan Agricultural University, Kunming, China.
Linfu YangCollege of Veterinary Medicine in Yunnan Agricultural University, Kunming, China.
Gang DuanCollege of Veterinary Medicine in Yunnan Agricultural University, Kunming, China.
Jiming LiAnimal Disease Prevention and Control Center of Shilin County, Shilin County Agricultural and Rural Bureau, Kunming, China.
Nourhan NassarSchool of Life Science, Anhui Agricultural University, Hefei, China.
Feiyan DaiCollege of Veterinary Medicine in Yunnan Agricultural University, Kunming, China.
Huaming MaoCollege of Animal Science and Technology in Yunnan Agricultural University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study involved crossing Alpine goats with Yunshang black bucks from Yunnan Province to produce Alpine-Yunshang dual-purpose F1 (AYF1) goats. The AYF1 goats were compared with Saanen and Toggenburg goats by evaluating milk yield, composition, and molecular markers in order to identify metabolites using liquid chromatography-mass spectrometry (LC-MS) technology. A total of 18 goats were selected, with 6 goats from each breed forming 3 groups. Daily milk yield was recorded, and milk composition was analyzed on days 60 and 120 of lactation. The results showed that on day 60, Saanen and AYF1 goats had significantly higher protein and fat contents than Toggenburg goats. On day 120, AYF1 goats had higher fat content, while Saanen goats had higher protein content compared to Toggenburg goats. There were no differences (

Indexed as

compositiondairy goatLC-MS technologymilk yieldplasma metabolomics

Identifiers

PMID40575583
PMCPMC12199267

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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.