Literature DB >> 32315038

Evaluation of the sensitivity of pulmonary arterial pressure to elevation using a reaction norm model in Angus Cattle.

Scott E Speidel1, Milton G Thomas1, Timothy N Holt2, R Mark Enns1.   

Abstract

Pulmonary arterial pressure (PAP) is a diagnostic measure used to determine an individual's susceptibility to developing high-altitude disease. The importance of PAP measures collected at elevations lower than the intended breeding elevation of the bulls (i.e., ≥1,520 m) is unknown. Therefore, the objective of this study was to determine the genetic relationship between PAP measures collected in a range of elevations using reaction norm models. A total of 9,177 PAP and elevation observations on purebred Angus cattle, which averaged 43.49 ± 11.32 mmHg and 1,878.6 ± 296.8 m, respectively, were used in the evaluation. The average age of the individuals in the evaluation was 434.04 ± 115.9 d. A random regression model containing the effects of sex, a linear covariate of age, a quadratic fixed covariate of elevation, and random effects consisting of a contemporary group and a linear regression of PAP on elevation was used for the evaluation of PAP. Two forms of PAP were evaluated with this model. First, to address the non-normality of the data, PAP was raised to the power of -2.6 (ptPAP) based on the results of a Box-Cox analysis. Second, raw PAP (rPAP) phenotypes were evaluated to compare the results to those obtained from the transformed data. For ptPAP, heritability ranged from 0.25 to 0.37 corresponding to elevations of 1,900 and 1,215 m, respectively. For rPAP, heritability ranged from 0.22 to 0.41 corresponding to elevations of 1,700 and 2,495 m, respectively. Generally, lower elevations corresponded to decreased heritabilities while higher elevations corresponded to increased heritability estimates. For ptPAP, genetic correlations ranged from 0.18 (elevation: 1,215 and 2,495 m) to 1.00. For rPAP, genetic correlations ranged from 0.08 (elevation: 1,215 and 2,495 m) to 1.00. In general, the closer the elevations in which PAP was measured, the greater the genetic relationship. The greater the difference in elevation between PAP measures resulted in lower genetic correlations. The rank correlation between expected progeny differences (EPD) for 1,215 and 2,495 m was 0.65 and 0.49 for the ptPAP and rPAP, respectively. These results suggested that PAP measures collected in lower elevations may be used as an indicator of high-altitude adaptability. In the estimation of EPD to rank sires for their suitability for use in high-elevation production systems, it is important to account for the relationships among varied altitudes.
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Angus; cattle; elevation; genetic correlation; heritability; pulmonary arterial pressure

Mesh:

Year:  2020        PMID: 32315038      PMCID: PMC7228678          DOI: 10.1093/jas/skaa129

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  12 in total

1.  Examination of potential methods to predict pulmonary arterial pressure score in yearling beef cattle.

Authors:  J K Ahola; R M Enns; T Holt
Journal:  J Anim Sci       Date:  2006-05       Impact factor: 3.159

2.  Inheritance of pulmonary arterial pressure in Angus cattle and its correlation with growth.

Authors:  K L Shirley; D W Beckman; D J Garrick
Journal:  J Anim Sci       Date:  2007-12-21       Impact factor: 3.159

Review 3.  Pulmonary arterial pressure testing for high mountain disease in cattle.

Authors:  Timothy N Holt; Robert J Callan
Journal:  Vet Clin North Am Food Anim Pract       Date:  2007-11       Impact factor: 3.357

4.  Heritabilities and genetic correlations of pulmonary arterial pressure and performance traits in Angus cattle at high altitude.

Authors:  N F Crawford; M G Thomas; T N Holt; S E Speidel; R M Enns
Journal:  J Anim Sci       Date:  2016-11       Impact factor: 3.159

5.  Reaction norm for yearling weight in beef cattle using single-step genomic evaluation.

Authors:  D P Oliveira; D A L Lourenco; S Tsuruta; I Misztal; D J A Santos; F R de Araújo Neto; R R Aspilcueta-Borquis; F Baldi; R Carvalheiro; G M F de Camargo; L G Albuquerque; H Tonhati
Journal:  J Anim Sci       Date:  2018-02-15       Impact factor: 3.159

6.  Evaluation of moderate to high elevation effects on pulmonary arterial pressure measures in Angus cattle1.

Authors:  Rachel C Pauling; Scott E Speidel; Milton G Thomas; Timothy N Holt; Richard M Enns
Journal:  J Anim Sci       Date:  2018-09-07       Impact factor: 3.159

7.  Behavioral changes in neonatal swine after an 8-hour rest during prolonged transportation.

Authors:  J L Williams; B T Richert; J N Marchant-Forde; S D Eicher
Journal:  J Anim Sci       Date:  2012-09       Impact factor: 3.159

8.  Random regression models for the prediction of days to weight, ultrasound rib eye area, and ultrasound back fat depth in beef cattle.

Authors:  S E Speidel; R K Peel; D H Crews; R M Enns
Journal:  J Anim Sci       Date:  2016-02       Impact factor: 3.159

9.  Multi-trait linear reaction norm model to describe the pattern of phenotypic expression of some economic traits in beef cattle across a range of environments.

Authors:  Mário Luiz Santana; Joanir Pereira Eler; Annaiza Braga Bignardi; Alberto Menéndez-Buxadera; Fernando Flores Cardoso; José Bento Sterman Ferraz
Journal:  J Appl Genet       Date:  2014-09-21       Impact factor: 3.240

10.  Genotype by environment interaction for tick resistance of Hereford and Braford beef cattle using reaction norm models.

Authors:  Rodrigo R Mota; Robert J Tempelman; Paulo S Lopes; Ignacio Aguilar; Fabyano F Silva; Fernando F Cardoso
Journal:  Genet Sel Evol       Date:  2016-01-14       Impact factor: 4.297

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