Evidence map›Paper›PMID 28980200›Full record

ArticleJournal of applied genetics2017

Genetic analysis of a red tilapia (Oreochromis spp.) population undergoing three generations of selection for increased body weight at harvest.

Azhar Hamzah, Ngo Phu Thoa, Nguyen Hong Nguyen

Abstract read
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In one paragraph

Article in Journal of applied genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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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

3 authors at 3 institutions in 3 countries.

Azhar HamzahNational Prawn Fry Production and Research Centre, Kg. Pulau Sayak, 08500, Kota Kuala Muda, Kedah, Malaysia. azhhas@yahoo.com.ORCID http://orcid.org/0000-0002-4143-955X
Ngo Phu ThoaResearch Institute for Aquaculture No.1, Tu Son, Bắc Ninh, Vietnam.
Nguyen Hong NguyenUniversity of the Sunshine Coast, Maroochydore, QLD, 4558, Australia.
Research Institute for Aquaculture No1 · VNSultan Abdul Halim Mu'adzam Shah International Islamic University · MYUniversity of the Sunshine Coast · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative genetic analysis was performed on 10,919 data records collected over three generations from the selection programme for increased body weight at harvest in red tilapia (Oreochromis spp.). They were offspring of 224 sires and 226 dams (50 sires and 60 dams per generation, on average). Linear mixed models were used to analyse body traits (weight, length, width and depth), whereas threshold generalised models assuming probit distribution were employed to examine genetic inheritance of survival rate, sexual maturity and body colour. The estimates of heritability for traits studied (body weight, standard length, body width, body depth, body colour, early sexual maturation and survival) across statistical models were moderate to high (0.13-0.45). Genetic correlations among body traits and survival were high and positive (0.68-0.96). Body length and width exhibited negative genetic correlations with body colour (- 0.47 to - 0.25). Sexual maturity was genetically correlated positively with measurements of body traits (weight and length). Direct and correlated genetic responses to selection were measured as estimated breeding values in each generation and expressed in genetic standard deviation units (σ

Indexed as

AnimalsBody WeightBreedingPhenotypeSelection, GeneticTilapiaWeight GainColour and sexual maturationGenetic improvementRed tilapiaSelection responseSurvival

Identifiers

PMID28980200
OpenAlexW2763833975

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.