Evidence map›Paper›PMID 33981962›Full record

ArticleTranslational animal science2021

High-throughput genotype-based population structure analysis of selected buffalo breeds.

Prakash B Thakor, Ankit T Hinsu, Dhruv R Bhatia, Tejas M Shah, Nilesh Nayee, A Sudhakar, Dharamshibhai N Rank, Chaitanya G Joshi

Open access · goldAbstract read
In one paragraph

Article in Translational animal science, 2021. 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
0.9field-weighted citation impact, top 24% 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, 8 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

8 authors at 2 institutions in 1 country.

Prakash B ThakorDepartment of Animal Genetics and Breeding, College of Veterinary Science and Animal Husbandry, Anand Agriculture University, Anand 388001, India.
Ankit T HinsuDepartment of Animal Genetics and Breeding, College of Veterinary Science and Animal Husbandry, Anand Agriculture University, Anand 388001, India.
Dhruv R BhatiaDepartment of Animal Genetics and Breeding, College of Veterinary Science and Animal Husbandry, Anand Agriculture University, Anand 388001, India.
Tejas M ShahDepartment of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agriculture University, Anand 388001, India.
Nilesh NayeeNational Dairy Development Board, Anand 388001, India.
A SudhakarNational Dairy Development Board, Anand 388001, India.
Dharamshibhai N RankDepartment of Animal Genetics and Breeding, College of Veterinary Science and Animal Husbandry, Anand Agriculture University, Anand 388001, India.
Chaitanya G JoshiDepartment of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agriculture University, Anand 388001, India.
Anand Agricultural University · INNational Dairy Development Board · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

India is considered as the home tract of some of the best buffalo breeds. However, the genetic structure of the Indian river buffalo is poorly understood. Hence, there is a need to characterize the populations and understand the genetic structure of various buffalo breeds for selection and to design breeding strategies. In this study, we have analyzed genetic variability and population structure of seven buffalo breeds from their respective geographical regions using Axiom Buffalo Genotyping Array. Diversity, as measured by expected heterozygosity, ranged from 0.364 in Surti to 0.384 in Murrah breed, and pair-wise

Indexed as

admixtureaffymetrixIndian buffalolinkage disequilibriumquantitative trait locisingle-nucleotide polymorphism

Identifiers

PMID33981962
PMCPMC8103726
OpenAlexW3163497563

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.