Literature DB >> 29529319

Relationships among mortality, performance, and disorder traits in broiler chickens: a genetic and genomic approach.

X Zhang1, S Tsuruta1, S Andonov2, D A L Lourenco1, R L Sapp3, C Wang3, I Misztal1.   

Abstract

Four performance-related traits [growth trait (GROW), feed efficiency trait 1 (FE1) and trait 2 (FE2), and dissection trait (DT)] and 4 categorical traits [mortality (MORT) and 3 disorder traits (DIS1, DIS2, and DIS3)] were analyzed using linear and threshold single- and multi-trait models. Field data included 186,596 records of commercial broilers from Cobb-Vantress, Inc. Average-information restricted maximum likelihood and Gibbs sampling-based methods were used to obtain estimates of the (co)variance components, heritabilities, and genetic correlations in a traditional approach using best linear unbiased prediction (BLUP). The ability to predict future breeding values (measured as realized accuracy) was checked in the last generation when traditional BLUP and single-step genomic BLUP were used. Heritability estimates for GROW, FE1, and FE2 in single- and multi-trait models were similar and moderate (0.22 to 0.26) but high for DT (0.48 to 0.50). For MORT, DIS1, and DIS2, heritabilities were 0.13, 0.24, and 0.34, respectively. Estimates from single- and multi-trait models were also very similar. However, heritability for DIS3 was higher from the single-trait threshold model than for the multi-trait linear-threshold model (0.29 vs. 0.19). Genetic correlations between growth traits and MORT were weak, except for maternal GROW, which had a moderate negative correlation (-0.50) with MORT. The genetic correlation between MORT and DIS1 was strong and positive (0.77). Feed efficiency 1, which was moderately heritable (0.25) and is highly selected for, was not genetically related to MORT of broilers and other disorders. Broiler MORT also had moderate heritability (0.13), which suggests that MORT and FE1 can be improved through selection without negatively impacting other important traits. Selection of heavier maternal GROW also may decrease offspring MORT.

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Year:  2018        PMID: 29529319      PMCID: PMC5890605          DOI: 10.3382/ps/pex431

Source DB:  PubMed          Journal:  Poult Sci        ISSN: 0032-5791            Impact factor:   3.352


  23 in total

1.  Bayesian inference for categorical traits with an application to variance component estimation.

Authors:  M F Luo; P J Boettcher; L R Schaeffer; J C Dekkers
Journal:  J Dairy Sci       Date:  2001-03       Impact factor: 4.034

2.  Genetic parameters of ascites-related traits in broilers: effect of cold and normal temperature conditions.

Authors:  A Pakdel; J A M van Arendonk; A L J Vereijken; H Bovenhuis
Journal:  Br Poult Sci       Date:  2005-02       Impact factor: 2.095

3.  Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score.

Authors:  I Aguilar; I Misztal; D L Johnson; A Legarra; S Tsuruta; T J Lawlor
Journal:  J Dairy Sci       Date:  2010-02       Impact factor: 4.034

4.  Disease-induced variability of genetic correlations: ascites in broilers as a case study.

Authors:  K H de Greef; L L Janss; A L Vereijken; R Pit; C L Gerritsen
Journal:  J Anim Sci       Date:  2001-07       Impact factor: 3.159

5.  Comparison of threshold vs linear and animal vs sire models for predicting direct and maternal genetic effects on calving difficulty in beef cattle.

Authors:  R Ramirez-Valverde; I Misztal; J K Bertrand
Journal:  J Anim Sci       Date:  2001-02       Impact factor: 3.159

6.  Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus.

Authors:  D A L Lourenco; S Tsuruta; B O Fragomeni; Y Masuda; I Aguilar; A Legarra; J K Bertrand; T S Amen; L Wang; D W Moser; I Misztal
Journal:  J Anim Sci       Date:  2015-06       Impact factor: 3.159

7.  Divergent selection for ascites incidence in chickens.

Authors:  H O Pavlidis; J M Balog; L K Stamps; J D Hughes; W E Huff; N B Anthony
Journal:  Poult Sci       Date:  2007-12       Impact factor: 3.352

8.  Genetic properties of feed efficiency parameters in meat-type chickens.

Authors:  Samuel E Aggrey; Arthur B Karnuah; Bram Sebastian; Nicholas B Anthony
Journal:  Genet Sel Evol       Date:  2010-06-29       Impact factor: 4.297

9.  The development and characterization of a 60K SNP chip for chicken.

Authors:  Martien A M Groenen; Hendrik-Jan Megens; Yalda Zare; Wesley C Warren; LaDeana W Hillier; Richard P M A Crooijmans; Addie Vereijken; Ron Okimoto; William M Muir; Hans H Cheng
Journal:  BMC Genomics       Date:  2011-05-31       Impact factor: 3.969

10.  Accuracy of estimated breeding values with genomic information on males, females, or both: an example on broiler chicken.

Authors:  Daniela A L Lourenco; Breno O Fragomeni; Shogo Tsuruta; Ignacio Aguilar; Birgit Zumbach; Rachel J Hawken; Andres Legarra; Ignacy Misztal
Journal:  Genet Sel Evol       Date:  2015-07-02       Impact factor: 4.297

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  2 in total

1.  Profiles of genetic parameters of body weight and feed efficiency in two divergent broiler lines for meat ultimate pH.

Authors:  Quentin Berger; Elodie Guettier; Jérémy Bernard; Patrice Ganier; Marine Chahnamian; Elisabeth Le Bihan-Duval; Sandrine Mignon-Grasteau
Journal:  BMC Genom Data       Date:  2022-03-16

2.  Validation of single-step GBLUP genomic predictions from threshold models using the linear regression method: An application in chicken mortality.

Authors:  Matias Bermann; Andres Legarra; Mary Kate Hollifield; Yutaka Masuda; Daniela Lourenco; Ignacy Misztal
Journal:  J Anim Breed Genet       Date:  2020-09-28       Impact factor: 2.380

  2 in total

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