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Analysis of institutional authors

Tarres, JCorresponding Author

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June 7, 2023
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Validation of an approximate approach to compute genetic correlations between longevity and linear traits

Publicated to: Genetics Selection Evolution. 38 (1): 65-83 - 2006-02-01 38(1), DOI: 10.1051/gse:2005027

Authors:

Tarrés, J; Piedrafita, J; Ducrocq, V
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Affiliations

- Author

Abstract

The estimation of genetic correlations between a nonlinear trait such as longevity and linear traits is computationally difficult on large datasets. A two-step approach was proposed and was checked via simulation. First, univariate analyses were performed to get genetic variance estimates and to compute pseudo-records and their associated weights. These pseudo-records were virtual performances free of all environmental effects that can be used in a BLUP animal model, leading to the same breeding values as in the ( possibly nonlinear) initial analyses. By combining these pseudo-records in a multiple trait model and fixing the genetic and residual variances to their values computed during the first step, we obtained correlation estimates by AI-REML and approximate MT-BLUP predicted breeding values that blend direct and indirect information on longevity. Mean genetic correlations and reliabilities obtained on simulated data confirmed the suitability of this approach in a wide range of situations. When nonzero residual correlations exist between traits, a sire model gave nearly unbiased estimates of genetic correlations, while the animal model estimates were biased upwards. Finally, when an incorrect genetic trend was simulated to lead to biased pseudo-records, a joint analysis including a time effect could adequately correct for this bias.
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Keywords

CowsDairy-cattleGenetic correlationLongevityModelsParametersReliabilitySimulationSurvival analysisViability

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, 2006, it was in position 91/130, thus managing to position itself as a Q1 (Primer Cuartil), in the category Genetics & Heredity.

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 2026-04-05:

  • WoS: 22
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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 2026-04-05:

  • 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: 32 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

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    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.

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