Evidence map›Paper›PMID 35534492›Full record

ArticleScientific reports2022

Performance and milk quality parameters of Jersey crossbreds in low-input dairy systems.

Sabrina Ormston, Hannah Davis, Gillian Butler, Eleni Chatzidimitriou, Alan W Gordon, Katerina Theodoridou, Sharon Huws, Tianhai Yan, Carlo Leifert, Sokratis Stergiadis

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 7 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

10 authors at 6 institutions in 4 countries.

Sabrina OrmstonDepartment of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, New Agriculture Building, Earley Gate, Reading, RG6 6EU, UK.
Hannah DavisSchool of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
Gillian ButlerSchool of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
Eleni ChatzidimitriouSchool of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
Alan W GordonStatistical Services Branch, Agri-Food and Biosciences Institute, Newforge Lane, Belfast, BT9 5PX, Co. Antrim, UK.
Katerina TheodoridouInstitute for Global Food Security, Queen's University Belfast, Belfast, BT9 5DL, UK.
Sharon HuwsInstitute for Global Food Security, Queen's University Belfast, Belfast, BT9 5DL, UK.
Tianhai YanSustainable Agri-Food Sciences Division, Agri-Food and Biosciences Institute, Hillsborough, BT26 6DR, Co. Down, UK.
Carlo LeifertDepartment of Nutrition, IMB, University of Oslo, Sognsvannsveien, 0372, Oslo, Norway.
Sokratis StergiadisDepartment of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, New Agriculture Building, Earley Gate, Reading, RG6 6EU, UK. s.stergiadis@reading.ac.uk.
Agri Food and Biosciences Institute · GBNewcastle University · GBQueen's University Belfast · GBUniversity of Reading · GBAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail · FRUniversity of Oslo · NO

Funding

Biotechnology and Biological Sciences Research Council Doctoral Training Partnership FoodBioSystems: biological processes across the Agri-Food system from pre-farm to post-fork (BB/T008776/1)
6 · The paper itself

Abstract

Previous work has demonstrated some benefit from alternative breeds in low-input dairying, although there has been no systematic analysis of the simultaneous effect of Jersey crossbreeding on productivity, health, fertility parameters or milk nutritional quality. This work aimed to understand the effects of, and interactions/interrelations between, dairy cow genotypes (Holstein-Friesian (HF), Holstein-Friesian × Jersey crossbreds (HF × J)) and season (spring, summer, autumn) on milk yield; basic composition; feed efficiency, health, and fertility parameters; and milk fatty acid (FA) profiles. Milk samples (n = 219) and breed/diet data were collected from 74 cows in four UK low-input dairy farms between March and October 2012. HF × J cows produced milk with more fat (+ 3.2 g/kg milk), protein (+ 2.9 g/kg milk) and casein (+ 2.7 g/kg milk); and showed higher feed, fat, and protein efficiency (expressed as milk, fat and protein outputs per kg DMI) than HF cows. Milk from HF × J cows contained more C4:0 (+ 2.6 g/kg FA), C6:0 (+ 1.9 g/kg FA), C8:0 (+ 1.3 g/kg FA), C10:0 (+ 3.0 g/kg FA), C12:0 (+ 3.7 g/kg FA), C14:0 (+ 4.6 g/kg FA) and saturated FA (SFA; + 27.3 g/kg milk) and less monounsaturated FA (MUFA; -23.7 g/kg milk) and polyunsaturated FA (- 22.3 g/kg milk). There was no significant difference for most health and fertility parameters, but HF × J cows had shorter calving interval (by 39 days). The superior feed, fat and protein efficiency of HF × J cows, as well as shorter calving interval can be considered beneficial for the financial sustainability of low-input dairy farms; and using such alternative breeds in crossbreeding schemes may be recommended. Although statistically significant, it is difficult to determine if differences observed between HF and HF × J cows in fat composition are likely to impact human health, considering average population dairy fat intakes and the relatively small difference. Thus, the HF × J cow could be used in low-input dairying to improve efficiency and productivity without impacting milk nutritional properties.

Indexed as

LactationMilkAnimal FeedAnimalsCattleDairyingDietFatty AcidsFemaleFertilityFatty Acids

Identifiers

PMID35534492
PMCPMC9085769
OpenAlexW4229371800

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.