Evidence map›Paper›PMID 37184817›Full record

ArticleTropical animal health and production2023

Genetic improvement of economic traits in Murrah buffalo using significant SNPs from genome-wide association study.

Linda George, Rani Alex, Nidhi Sukhija, Komal Jaglan, Vikas Vohra, Ravi Kumar, Archana Verma

Abstract read
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In one paragraph

Article in Tropical animal health and production, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Candidate genes related to growth and milk production in three Anatolian goats revealed by GWAS.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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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

7 authors at 1 institution in 1 country.

Linda GeorgeDivision of Animal Genetics and Breeding, ICAR- National Dairy Research Institute, Karnal, Haryana, 132001, India. lindagpaliyath@gmail.com.ORCID http://orcid.org/0000-0002-6325-2040
Rani AlexDivision of Animal Genetics and Breeding, ICAR- National Dairy Research Institute, Karnal, Haryana, 132001, India.
Nidhi SukhijaDivision of Animal Genetics and Breeding, ICAR- National Dairy Research Institute, Karnal, Haryana, 132001, India.
Komal JaglanDivision of Animal Genetics and Breeding, ICAR- National Dairy Research Institute, Karnal, Haryana, 132001, India.
Vikas VohraDivision of Animal Genetics and Breeding, ICAR- National Dairy Research Institute, Karnal, Haryana, 132001, India.
Ravi KumarDivision of Animal Genetics and Breeding, ICAR- National Dairy Research Institute, Karnal, Haryana, 132001, India.
Archana VermaDivision of Animal Genetics and Breeding, ICAR- National Dairy Research Institute, Karnal, Haryana, 132001, India.
National Dairy Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GWAS helps to identify QTL and candidate genes of specific traits. Buffalo breeding has primarily focused on milk production, but its negative correlation with reproduction traits resulted in unfavorable decline of reproductive performance among buffaloes. A genome wide scan was performed on a total of 120 Murrah buffaloes genotyped by ddRAD sequencing for 13 traits related to female fertility, production, and growth. The identified 25 significant single nucleotide polymorphisms (SNPs) (P <1×10

Indexed as

BisonGenome-Wide Association StudyAnimalsBuffaloesFemaleFertilityPolymorphism, Single NucleotidePregnancyReproductionddRAD sequenceEconomic traitsGWASMurrah buffaloesSNPs

Identifiers

PMID37184817
OpenAlexW4376604844

What OpenQuestion holds

Textmetadata
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.