Evidence map›Paper›PMID 34978613›Full record

ArticleTropical animal health and production2022

Genetic parameters for traditional and novel ultrasound carcass traits in Nellore cattle.

B S Marestone, R A A Torres Junior, L O C Silva, G R O Menezes, C A S D Muniz, E L A Ribeiro

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Article in Tropical animal health and production, 2022. 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
–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

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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.

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4 · The record

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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

6 authors.

B S MarestonePostgraduate Program in Animal Science, State University of Londrina, Londrina, Paraná, Brazil. bruna.marestone@uel.br.
R A A Torres JuniorBrazilian Agricultural Research Corporation, Embrapa Beef Cattle, Campo Grande, Mato Grosso do Sul, Brazil.
L O C SilvaBrazilian Agricultural Research Corporation, Embrapa Beef Cattle, Campo Grande, Mato Grosso do Sul, Brazil.
G R O MenezesBrazilian Agricultural Research Corporation, Embrapa Beef Cattle, Campo Grande, Mato Grosso do Sul, Brazil.
C A S D MunizDepartment of Animal Science, State University of Londrina, Londrina, Paraná, Brazil.
E L A RibeiroDepartment of Animal Science, State University of Londrina, Londrina, Paraná, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to contribute to genetic improvement for carcass quality in Nellore cattle by estimating genetic parameters for carcass characteristics measured by traditional and novel ultrasound adjusted for body weight. Records of 19,910 Nellore breed animals born between 2001 and 2015 as part of a genetic improvement program were evaluated for this purpose. The (co)variance components and genetic parameters for yearling weight (YW), slaughter conformation at yearling age (SCY), ribeye area (REA), REA adjusted for 100 kg of body weight (REA100), REA adjusted for 450 kg of body weight (REA450), subcutaneous fat thickness over the loin (SFTL) and the rump (SFTR), intramuscular fat (IF), and height × width ratio of the sirloin steak (RATIO) were estimated using the restricted maximum likelihood (REML) method and the three-trait animal model. The estimated heritability values were 0.39 (YW), 0.33 (SCY), 0.31 (REA), 0.42 (REA100), 0.38 (REA450), 0.31 (RATIO), 0.17 (SFTL), 0.27 (SFTR), and 0.41 (MAR). The genetic correlations between REA and YW (0.43) and SCY and YW (0.78), respectively, suggested that selecting for REA or SCY could result in an increase in body weight. Because of its moderate and negative correlation with YW, REA100 was ineffective as a muscling indicator (- 0.38). The indicators REA450 and RATIO had a - 0.12 and 0.11 low correlation with YW, respectively. Thus, it is concluded that REA450 and RATIO were the best indicators of muscling, with heritability of medium magnitude, making the selection viable, as well as having a low correlation with body weight.

Indexed as

Models, GeneticMusclesAnimalsBody WeightCattlePhenotypeUltrasonographyBeef cattleGenetic correlationHeritabilitySelectionSlaughter conformation

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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.