Evidence map›Paper›PMID 38478192›Full record

ArticleTropical animal health and production2024

Phenotypic and genetic characterization of unexplored, potential cattle population of Madhya Pradesh.

Jayakumar Sivalingam, S K Niranjan, Dinesh Kumar Yadav, S P Singh, Nidhi Sukhija, K K Kanaka, P K Singh, Ajit Pratap Singh

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Article in Tropical animal health and production, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Jayakumar SivalingamPresently at ICAR-Directorate of Poultry Research, Hyderabad, India. jeyvet@gmail.com.
S K NiranjanPresently at ICAR-Directorate of Poultry Research, Hyderabad, India.
Dinesh Kumar YadavPresently at ICAR-Directorate of Poultry Research, Hyderabad, India.
S P SinghICAR-National Bureau of Animal Genetic Resources, Karnal, 132001, Haryana, India.
Nidhi SukhijaKrishi Vigyan Kendra, Rajmata Vijayaraje Scindia Krishi Vishwavidyalaya, Morena, MP, India.
K K KanakaCentral Tasar Research and Training Institute, Ranchi, India.
P K SinghPresently at ICAR-Directorate of Poultry Research, Hyderabad, India.
Ajit Pratap SinghICAR-Indian Institute of Agricultural Biotechnology, Ranchi, India.

Funding

National Bureau of Animal Genetic Resources 1.33
6 · The paper itself

Abstract

Bawri or Garri, a non-descript cattle population managed under an extensive system in Madhya Pradesh state of India, was identified and characterized both genetically and phenotypically to check whether or not it can be recognised as a breed. The cattle have white and gray colour and are medium sized with 122.5 ± 7.5 cm and 109.45 ± 0.39 cm height at withers in male and female, respectively. Double-digest restriction site associated DNA (ddRAD) sequencing was employed to identify ascertainment bias free SNPs representing the entire genome cost effectively; resulting in calling 1,156,650 high quality SNPs. Observed homozygosity was 0.76, indicating Bawri as a quite unique population. However, the inbreeding coefficient was 0.025, indicating lack of selection. SNPs found here can be used in GWAS and genetic evaluation programs. Considering the uniqueness of Bawri cattle, it can be registered as a breed for its better genetic management.

Indexed as

GenomeInbreedingAnimalsCattleDNAFemaleIndiaMalePolymorphism, Single NucleotideDNABawri cattleCharacterizationConservationddRADDiversitySNP

Identifiers

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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.