Evidence map›Paper›PMID 36800041›Full record

ArticleTropical animal health and production2023

Heritability and environmental influence on pre-weaning traits in Kilis goats.

Sabri Gul, Yunus Arzik, Mehmet Kizilaslan, Sedat Behrem, Mahmut Keskin

Abstract read
PubMed Publisher
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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Estimation of Genetic Parameters of Early Growth Traits in Dumeng Sheep.Animals : an open access journal from MDPI · 2024
    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 at 2 institutions in 1 country.

Sabri GulAgriculture Faculty, Mustafa Kemal University, Hatay, Turkey. sabrigul@mku.edu.tr.ORCID http://orcid.org/0000-0001-6787-8190
Yunus ArzikInternational Centre for Livestock Research and Training, Ankara, Turkey.ORCID http://orcid.org/0000-0002-3068-8155
Mehmet KizilaslanInternational Centre for Livestock Research and Training, Ankara, Turkey.ORCID http://orcid.org/0000-0001-6305-8742
Sedat BehremVeterinary Faculty, Aksaray University, Aksaray, Turkey.ORCID http://orcid.org/0000-0002-7351-1229
Mahmut KeskinAgriculture Faculty, Mustafa Kemal University, Hatay, Turkey.ORCID http://orcid.org/0000-0002-8147-2477
Mustafa Kemal University · TRAksaray University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Birth and weaning weights, average daily weight gain, and Kleiber ratio are important indicator traits in selection decision. The phenotypic expression of these traits is determined by the genetic background, environmental effects, and their interactions. The objective of this study was to estimate genetic parameters regarding birth (BW) and weaning weights (WW) and average daily weight gain (ADWG), Kleiber ratio (KR), and obtain the effects of sex, birth type, herd, and year. The data consisted of 2274 Kilis goats with pedigree information obtained from 53 bucks and 774 does in 4 generations. The restricted maximum likelihood (REML) procedure was conducted with an animal linear mixed model. Sex, birth type, herd, and year were found to be statistically significant (p value < 0.001) for all traits. Moderate direct heritabilities (h

Indexed as

GoatsWeight GainAnimalsBirth WeightBody WeightPhenotypeWeaningEnvironmental effectsGenetic parametersKilis goatsKleiber ratioPre-weaning growth traits

Identifiers

PMID36800041
OpenAlexW4321169782

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.