Evidence map›Paper›PMID 36309814›Full record

ArticleAnimal biotechnology2023

Analysis of the population genetic structure using microsatellite markers in goat populations in Taiwan.

Fang-Yu Lai, Chung-Ying Yin, Shih-Torng Ding, Po-An Tu, Pei-Hwa Wang

Abstract read
In one paragraph

Article in Animal biotechnology, 2023. 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

5 authors.

Fang-Yu LaiDepartment of Animal Science and Technology, Key Laboratory of Animal Genetics, Breeding and Bioresources, College of Bioresources and Agriculture, National Taiwan University, Taipei, Taiwan.ORCID 0000-0001-9912-6647
Chung-Ying YinDepartment of Animal Science and Technology, Key Laboratory of Animal Genetics, Breeding and Bioresources, College of Bioresources and Agriculture, National Taiwan University, Taipei, Taiwan.
Shih-Torng DingDepartment of Animal Science and Technology, Laboratory of Molecular Genetic, College of Bioresources and Agriculture, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-9866-1776
Po-An TuLivestock Research Institute, Hsinchu Branch, Council of Agriculture, Hsinchu, Taiwan.
Pei-Hwa WangDepartment of Animal Science and Technology, Key Laboratory of Animal Genetics, Breeding and Bioresources, College of Bioresources and Agriculture, National Taiwan University, Taipei, Taiwan.ORCID 0000-0003-4405-3166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the poor growth rate of the Taiwan black (TB) goat in Taiwan, many exotic breeds were brought into breeding schemes to improve TB goat. However, the excessive cross-breeding of alien species with TB goat has decreased its population numbers, genetic variation and biodiversity. Therefore, TB goat population considered an endemic species in Taiwan that needed to be conservation. The objective of the present study was to analyze the genetic structure and TB goat using genetic markers for genetic improvement and to sustain germplasm conservation and utilization. 15 microsatellite markers, divided into three sets, were used to analyze 690 goats sampled from 10 goat populations. The average number of alleles (Na) and effective alleles (Ne) was 11.87 ± 3.93 and 5.093 ± 1.768, respectively. The average expected heterozygosity (H

Indexed as

Genetic VariationGoatsAllelesAnimalsGenetics, PopulationHumansMicrosatellite RepeatsPhylogenyTaiwangenetic polymorphismsgenomicsmicrosatellite markerpopulation genetic structureTaiwan black (TB) goat

Identifiers

PMID36309814
PMCPMC13353433

What OpenQuestion holds

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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 OpenQuestion graph.