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The suggestions of the editor and two anonymous referees contributed to greatly improve the manuscript. Joaquim Tarres was supported by a Juan de la Cierva research contract from the Spain's Ministerio de Educacion y Ciencia. This research was financed by Spain's Ministerio de Educacion y Ciencia (AGL2007-66147-01/GAN grant) and carried out with data recorded by 12 commercial slaughterhouses and the Bruna dels Pirineus breed society. The Yield Recording Scheme of the breed was funded in part by the Department d'Agricultura, Alimentacio i Accio Rural of the Catalonia government.

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Tarres, JCorresponding Author
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Article

Carcass conformation and fat cover scores in beef cattle: A comparison of threshold linear models vs grouped data models

Publicated to:Genetics Selection Evolution. 43 (1): 16- - 2011-05-14 43(1), DOI: 10.1186/1297-9686-43-16

Authors: Tarrés, J; Fina, M; Varona, L; Piedrafita, J

Affiliations

Univ Autonoma Barcelona, Grp Recerca Remugants, Dept Ciencia Anim & Dels Aliments, Bellaterra 08193, Spain - Author
Univ Zaragoza, Dept Anat Embriol & Genet, Unidad Genet Cuantitat & Mejora Anim, E-50013 Zaragoza, Spain - Author

Abstract

Background: Beef carcass conformation and fat cover scores are measured by subjective grading performed by trained technicians. The discrete nature of these scores is taken into account in genetic evaluations using a threshold model, which assumes an underlying continuous distribution called liability that can be modelled by different methods. Methods: Five threshold models were compared in this study: three threshold linear models, one including slaughterhouse and sex effects, along with other systematic effects, with homogeneous thresholds and two extensions with heterogeneous thresholds that vary across slaughterhouses and across slaughterhouse and sex and a generalised linear model with reverse extreme value errors. For this last model, the underlying variable followed a Weibull distribution and was both a log-linear model and a grouped data model. The fifth model was an extension of grouped data models with score-dependent effects in order to allow for heterogeneous thresholds that vary across slaughterhouse and sex. Goodness-of-fit of these models was tested using the bootstrap methodology. Field data included 2,539 carcasses of the Bruna dels Pirineus beef cattle breed. Results: Differences in carcass conformation and fat cover scores among slaughterhouses could not be totally captured by a systematic slaughterhouse effect, as fitted in the threshold linear model with homogeneous thresholds, and different thresholds per slaughterhouse were estimated using a slaughterhouse-specific threshold model. This model fixed most of the deficiencies when stratification by slaughterhouse was done, but it still failed to correctly fit frequencies stratified by sex, especially for fat cover, as 5 of the 8 current percentages were not included within the bootstrap interval. This indicates that scoring varied with sex and a specific sex per slaughterhouse threshold linear model should be used in order to guarantee the goodness-of-fit of the genetic evaluation model. This was also observed in grouped data models that avoided fitting deficiencies when slaughterhouse and sex effects were score-dependent. Conclusions: Both threshold linear models and grouped data models can guarantee the goodness-of-fit of the genetic evaluation for carcass conformation and fat cover, but our results highlight the need for specific thresholds by sex and slaughterhouse in order to avoid fitting deficiencies.

Keywords
Genetic-parametersParametric bootstrapTraits

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Genetics Selection Evolution due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2011, it was in position 1/54, thus managing to position itself as a Q1 (Primer Cuartil), in the category Agriculture, Dairy & Animal Science.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-04-25:

  • WoS: 4
  • Scopus: 5
  • Europe PMC: 2
  • OpenCitations: 3
Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-04-25:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 26 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (TARRES FONT, JOAQUIM) .

the author responsible for correspondence tasks has been TARRES FONT, JOAQUIM.