Evidence map›Paper›PMID 32219121›Full record

ArticleJournal of advanced veterinary and animal research2020

Correlation and path analysis of body weight and biometric traits of Nguni cattle breed.

Thobela Louis Tyasi, Nhlakanipho Divine Mathye, Lebogang William Danguru, Lebo Trudy Rashijane, Kwena Mokoena, Kgotlelelo Maaposo Makgowo, Madumetja Cyril Mathapo, Kagisho Madikadike Molabe, Paul Mogowe Bopape, Dannis Maluleke

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of advanced veterinary and animal research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 27 citations in OpenAlex.

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  3. Genetic variations ofJournal of advanced veterinary and animal research · 2024
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  4. Body weight prediction of Belgian Blue crossbred using random forest.Journal of advanced veterinary and animal research · 2024
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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 1 institution in 1 country.

Thobela Louis TyasiDepartment of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa.
Nhlakanipho Divine MathyeDepartment of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa.
Lebogang William DanguruDepartment of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa.
Lebo Trudy RashijaneDepartment of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa.
Kwena MokoenaDepartment of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa.
Kgotlelelo Maaposo MakgowoDepartment of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa.
Madumetja Cyril MathapoDepartment of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa.
Kagisho Madikadike MolabeDepartment of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa.
Paul Mogowe BopapeDepartment of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa.
Dannis MalulekeDepartment of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa.
University of Limpopo · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis work was conducted to examine the association between body weight (BW) and biometric traits viz. head width (HW), head length (HL), ear length (EL), body length (BL), rump height (RH), withers height (WH), sternum height (SH), rump width (RW), and heart girth (HG) and to determine the direct and indirect effects of biometric traits on BW. MATERIALS AND

methodsSixty female and twenty male Nguni cattle between the ages of one to four years were used. Pearson correlation and path analysis were used for data analysis.

resultsCorrelation results recognized that BW had a positive highly significant correlation with RW (

conclusionAssociation findings suggest that improvement of RW, RH, HG, SH, HG, and WH might result in the increase in BW of Nguni cattle. Path analysis results suggest that RW and RH might be used as a selection criterion during breeding to increase BW of Nguni cattle. The results of the current study might be used by cattle farmers to estimate BW using biometric traits.

Indexed as

Direct effectindirect effectsrump heightrump widthsternum height

Identifiers

PMID32219121
PMCPMC7096126
OpenAlexW3010675753

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.