Literature DB >> 30523776

Invited review: Phenotyping strategies and quantitative-genetic background of resistance, tolerance and resilience associated traits in dairy cattle.

S König1, K May1.   

Abstract

In dairy cattle, resistance, tolerance and resilience refer to the adaptation ability to a broad range of environmental conditions, implying stable performances (e.g. production level, fertility status) independent from disease or infection pressure. All three mechanisms resistance, tolerance and resilience contribute to overall robustness, implying the evaluation of phenotyping and breeding strategies for improved robustness in dairy cattle populations. Classically, breeding approaches on improved robustness rely on simple production traits, in combination with detailed environmental descriptors and enhanced statistical modelling to infer possible genotype by environment interactions. In this regard, innovative environmental descriptors were heat stress indicators, and statistical modelling focussed on random regression or reaction norm methodology. A robust animal has high breeding values over a broad spectra of environmental levels. During the last years, direct health traits were included into selection indices, implying advances in genetic evaluations for traits being linked to resistance or tolerance against infectious and non-infectious diseases. Up to now, genetic evaluation for health traits is primarily based on subjectively measured producer-recorded data, with disease trait heritabilities in a low-to-moderate range. Thus, it is imperative to identify objectively measurable phenotypes as suitable biomarkers. New technologies (e.g. mid-infrared spectrometry) offer possibilities to determine potential biomarkers via laboratory analyses. Novel biomarkers include measurable physiological traits (e.g. serum metabolites, hormone levels) as indicators for a current infection, or the host's reaction to environmental stressors. The rumen microbiome composition is proposed as a biomarker to detect interactions between host genotype and environmental effects. The understanding of host genetic variation in disease resistance and individual expression of robustness encourages analyses on the underlying immune response (IR) system. Recent advances have been made in order to infer the genetic background of IR traits and cows immunological competence in relation to functional and production traits. Thus, a last aspect of this review addresses the genetic background and current state of genetic control for resistance to economically relevant infectious and non-infectious dairy cattle diseases by considering immune-related factors.

Entities:  

Keywords:  biomarkers; genotype by environment interaction; immune response; resistance; robustness

Mesh:

Year:  2018        PMID: 30523776     DOI: 10.1017/S1751731118003208

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  6 in total

1.  Differential haptoglobin responsiveness to a Mannheimia haemolytica challenge altered immunologic, physiologic, and behavior responses in beef steers.

Authors:  Lauren R Wottlin; Gordon E Carstens; William C Kayser; William E Pinchak; Jennifer M Thomson; Valerie Copié; Galen P O'Shea-Stone
Journal:  J Anim Sci       Date:  2020-12-22       Impact factor: 3.159

2.  Heat stress during late pregnancy and postpartum influences genetic parameter estimates for birth weight and weight gain in dual-purpose cattle offspring generations.

Authors:  Kathrin Halli; Kerstin Brügemann; Mehdi Bohlouli; Tong Yin; Sven König
Journal:  J Anim Sci       Date:  2021-05-01       Impact factor: 3.159

3.  Differential haptoglobin responsiveness to a Mannheimia haemolytica challenge altered immunologic, physiologic, and behavior responses in beef steers.

Authors:  Lauren R Wottlin; Gordon E Carstens; William C Kayser; William E Pinchak; Jennifer M Thomson; Valerie Copié; Galen P O'Shea-Stone
Journal:  J Anim Sci       Date:  2021-01-01       Impact factor: 3.159

4.  Inflammation: friend or foe of bovine reproduction?

Authors:  Sylvie Chastant; Marie Saint-Dizier
Journal:  Anim Reprod       Date:  2019-10-24       Impact factor: 1.807

5.  Modelling the shape of the pig scapula.

Authors:  Øyvind Nordbø
Journal:  Genet Sel Evol       Date:  2020-07-01       Impact factor: 4.297

Review 6.  Genomic Analysis, Progress and Future Perspectives in Dairy Cattle Selection: A Review.

Authors:  Miguel A Gutierrez-Reinoso; Pedro M Aponte; Manuel Garcia-Herreros
Journal:  Animals (Basel)       Date:  2021-02-25       Impact factor: 3.231

  6 in total

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