Evidence map›Paper›PMID 28068399›Full record

ArticlePloS one2017

Effect of Calf Gender on Milk Yield and Fatty Acid Content in Holstein Dairy Cows.

Amy V Gillespie, James L Ehrlich, Dai H Grove-White

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Bias of Calf Sex on Milk Yield and Fat Yield in Holstein Crossbreed Cows.Animals : an open access journal from MDPI · 2021
    Article
  2. Article
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

3 authors at 2 institutions in 2 countries.

Amy V GillespieLivestock Health and Welfare, School of Veterinary Science, University of Liverpool, Leahurst Campus, Chester High Road, Neston, United Kingdom.ORCID http://orcid.org/0000-0002-0017-3388
James L EhrlichDairy Veterinarians Group, Argyle, NY, United States of America.
Dai H Grove-WhiteLivestock Health and Welfare, School of Veterinary Science, University of Liverpool, Leahurst Campus, Chester High Road, Neston, United Kingdom.
University of Liverpool · GBVeterinarians Without Borders · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The scale of sexed semen use to avoid the birth of unwanted bull calves in the UK dairy industry depends on several economic factors. It has been suggested in other studies that calf gender may affect milk yield in Holsteins- something that would affect the economics of sexed semen use. The present study used a large milk recording data set to evaluate the effect of calf gender (both calf born and calf in utero) on both milk yield and saturated fat content. Linear regression was used to model data for first lactation and second lactation separately. Results showed that giving birth to a heifer calf conferred a 1% milk yield advantage in first lactation heifers, whilst giving birth to a bull calf conferred a 0.5% advantage in second lactation. Heifer calves were also associated with a 0.66kg reduction in saturated fatty acid content of milk in first lactation, but there was no significant difference between the genders in second lactation. No relationship was found between calf gender and milk mono- or polyunsaturated fatty acid content. The observed effects of calf gender on both yield and saturated fatty acid content was considered minor when compared to nutritional and genetic influences.

Indexed as

Food AnalysisAnimalsCattleDatasets as TopicFatty AcidsFemaleMaleMilkFatty Acids

Identifiers

PMID28068399
PMCPMC5221817
OpenAlexW2568332984

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.