Evidence mapPaperPMID 36251757Full record

ArticleVeterinary medicine and science2023

The physiological dissimilarities of Holstein dairy cows with different milk yields.

Jianan Dong, Yongjun Liu, Songze Li, Zhe Sun, Xue Chen, Duojia Wang, Guixin Qin, Xuefeng Zhang, Natnael Demelash Aschalew, Tao Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Veterinary medicine and science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

11 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Jianan DongCollege of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun, P.R. China.
Yongjun LiuCollege of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun, P.R. China.
Songze LiCollege of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun, P.R. China.
Zhe SunCollege of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun, P.R. China.ORCID https://orcid.org/0000-0003-1872-2194
Xue ChenCollege of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun, P.R. China.
Duojia WangInstitute of Animal Science, Jilin Academy of Agricultural Sciences, Changchun, P.R. China.
Guixin QinCollege of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun, P.R. China.
Xuefeng ZhangCollege of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun, P.R. China.
Natnael Demelash AschalewCollege of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun, P.R. China.
Tao WangCollege of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun, P.R. China.ORCID https://orcid.org/0000-0002-1876-0097
Yuguo ZhenCollege of Animal Science and Technology, JLAU-Borui Dairy Science and Technology R&D Center, Key Laboratory of Animal Nutrition and Feed Science of Jilin Province, Key Laboratory of Animal Production Product Quality and Security Ministry of Education, Jilin Agricultural University, Changchun, P.R. China.
Jilin University · CNJilin Academy of Agricultural Sciences · CN

Funding

Scientific and Technological Developing Scheme of Jilin Province 20210202037NCScientific and Technological Developing Scheme of Jilin Province 20210508007RQ
6 · The paper itself

Abstract

backgroundEven if breed, parity, dietary and environmental management are same, dairy cows still have notable differences in milk yield that may be underpinned by physiologic differences.

objectivesThis study aimed to investigate the physiological dissimilarities of dairy cows with different milk yields.

methodsThirty cows were sorted into high milk-yielding cows (group H: 58.93±2.31 kg/day), moderate milk-yielding cows (group M: 44.99±0.54 kg/day), and low milk-yielding cows (group L: 24.99±6.83 kg/day) according to milk yield. Blood was collected and serum parameters were assessed. Rumen fluid was collected for the evaluation of rumen fermentation parameters (RFPs) and bacterial community composition (BCC).

resultsSerum prolactin, growth hormone, glutathione peroxidase, immunoglobulin A and non-esterified fatty acid had a significantly positive correlation with milk yield (p < 0.05), whereas serum glucagon and total antioxidant capacity had a significantly negative correlation with milk yield (p < 0.05). The concentration of valeric acid and the ratio of acetic acid to propionic acid in the rumen fluid in group H was significantly lower than that in group L (p < 0.05). The concentration of acetic acid and butyric acid in group H was significantly lower than that in groups M and L (p < 0.05). The relative abundances of Ruminococcaceae_NK4A214_group, Prevotella_1, Rikenellaceae_RC9_gut_group, Christensenellaceae_R-7_group, Muribaculaceae, and Ruminococcus_2 were negatively correlated with milk yield, whereas the relative abundance of Succinivibrionaceae_UCG-001, Lachnospiraceae_NK3A20_group, Shuttleworthia and Dialister were positively correlated with milk yield (p < 0.05).

conclusionsThis study indicates that dairy cows with different milk yields have clear divergence in serum indicators, RFPs, BCC and rumen microbial metabolism.

Indexed as

LactationMilkAcetatesAnimalsBacteriaButyratesCattleDietFemalePregnancyAcetatesButyratesbacterial community compositionHolstein dairy cowsmilk yieldphysiological dissimilaritiesrumen fermentation parametersserum indicator

Identifiers

PMID36251757
PMCPMC9857101
OpenAlexW4306631471

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.