Literature DB >> 30085118

Genetic analysis of robustness in meat sheep through body weight and body condition score changes over time.

Tiphaine Macé1, Eliel González-García2, Julien Pradel3, Sara Parisot3, Fabien Carrière3, Sebastien Douls3, Didier Foulquié3, Dominique Hazard1.   

Abstract

Animal robustness may be defined as a complex trait characterizing the ability of an individual to be adapted, productive and healthy under contrasted and fluctuating environmental situations. Such a trait is now considered an essential criterion in order to meet the more ambitious goals of farming sustainability. In ruminants, one of the key mechanisms via which robustness is expressed is the capacity to mobilize or restore body reserves (BR) to cope with the challenges of negative energy balances. The objectives of this work were as follows: 1) to estimate the genetic parameters related to BR dynamics in ewes over successive production cycles and 2) to investigate BR management relationships between different physiological stages. For this, historical individual BW and BCS data from 2,920 phenotyped ewes were used for genetic analysis. The changes in BW (∆BW) and BCS (∆BCS) over time were analyzed. Eight physiological stages were considered to investigate these changes over time: mating, early pregnancy, mid-pregnancy, lambing, early suckling, mid-suckling, weaning, and postweaning. The estimated heritability were low for both ∆BW (h2 = 0.13 to 0.18) and ∆BCS (h2 = 0.04 to 0.16). Moderate to high positive genetic correlations (from 0.48 to 0.91) were obtained between BR mobilization phases and between BR accretion phases. Similarly, moderate to high negative genetic correlations (from -0.36 to -0.75) were estimated between the BR mobilization and accretion periods, suggesting that mechanisms driving BR mobilization and accretion processes were genetically correlated. This is the first study in ruminants that demonstrate that the extent and temporal changes in profiles of BR mobilization and accretion are heritable and genetically linked, indicating that such traits could be considered in genetic programs aimed at improving robustness. Nevertheless, further research is needed for a more comprehensive understanding of BR dynamics, notably by including other physiological parameters (i.e., metabolites and hormones) and additional information on the productive and reproductive life of the ewe.

Entities:  

Mesh:

Year:  2018        PMID: 30085118      PMCID: PMC6247844          DOI: 10.1093/jas/sky318

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


  16 in total

1.  Genetic analysis of body condition score of lactating Dutch Holstein and Red-and-White heifers.

Authors:  E P Koenen; R F Veerkamp; P Dobbelaar; G De Jong
Journal:  J Dairy Sci       Date:  2001-05       Impact factor: 4.034

2.  Genetic parameters for weight, weight adjusted for body condition score, height, and body condition score in beef cows.

Authors:  J A Arango; L V Cundiff; L D Van Vleck
Journal:  J Anim Sci       Date:  2002-12       Impact factor: 3.159

3.  On-farm estimation of energy balance in dairy cows using only frequent body weight measurements and body condition score.

Authors:  V M Thorup; D Edwards; N C Friggens
Journal:  J Dairy Sci       Date:  2012-04       Impact factor: 4.034

Review 4.  Review: Deciphering animal robustness. A synthesis to facilitate its use in livestock breeding and management.

Authors:  N C Friggens; F Blanc; D P Berry; L Puillet
Journal:  Animal       Date:  2017-05-02       Impact factor: 3.240

5.  Merino ewes can be bred for body weight change to be more tolerant to uncertain feed supply.

Authors:  G Rose; A Kause; H A Mulder; J H J van der Werf; A N Thompson; M B Ferguson; J A M van Arendonk
Journal:  J Anim Sci       Date:  2013-03-18       Impact factor: 3.159

6.  A dynamic model as a tool to describe the variability of lifetime body weight trajectories in livestock females.

Authors:  L Puillet; O Martin
Journal:  J Anim Sci       Date:  2017-11       Impact factor: 3.159

Review 7.  Partitioning of nutrients during pregnancy and lactation: a review of mechanisms involving homeostasis and homeorhesis.

Authors:  D E Bauman; W B Currie
Journal:  J Dairy Sci       Date:  1980-09       Impact factor: 4.034

Review 8.  The role of grasslands in food security and climate change.

Authors:  F P O'Mara
Journal:  Ann Bot       Date:  2012-09-21       Impact factor: 4.357

9.  The effects of parity, litter size, physiological state, and milking frequency on the metabolic profile of Lacaune dairy ewes.

Authors:  E González-García; A Tesniere; S Camous; F Bocquier; F Barillet; P Hassoun
Journal:  Domest Anim Endocrinol       Date:  2014-07-23       Impact factor: 2.290

Review 10.  Digestive and metabolic adaptations of ruminants to undernutrition, and consequences on reproduction.

Authors:  Y Chilliard; F Bocquier; M Doreau
Journal:  Reprod Nutr Dev       Date:  1998 Mar-Apr
View more
  5 in total

1.  Relationships between body reserve dynamics and rearing performances in meat ewes1.

Authors:  Tiphaine Macé; Dominique Hazard; Fabien Carrière; Sebastien Douls; Didier Foulquié; Eliel González-García
Journal:  J Anim Sci       Date:  2019-10-03       Impact factor: 3.159

2.  Genetic Variations within the Bovine CRY2 Gene Are Significantly Associated with Carcass Traits.

Authors:  Xuelan Li; Enhui Jiang; Kejing Zhang; Sihuan Zhang; Fugui Jiang; Enliang Song; Hong Chen; Peng Guo; Xianyong Lan
Journal:  Animals (Basel)       Date:  2022-06-23       Impact factor: 3.231

3.  Genome-wide analyses reveal a strong association between LEPR gene variants and body fat reserves in ewes.

Authors:  Tiphaine Macé; Dominique Hazard; Eliel González-García; Didier Foulquié; Fabien Carrière; Julien Pradel; Christian Durand; Sebastien Douls; Charlotte Allain; Sara Parisot
Journal:  BMC Genomics       Date:  2022-06-01       Impact factor: 4.547

4.  Effect of feed restriction on the environmental variability of birth weight in divergently selected lines of mice.

Authors:  Nora Formoso-Rafferty; Isabel Cervantes; Juan Pablo Sánchez; Juan Pablo Gutiérrez; Loys Bodin
Journal:  Genet Sel Evol       Date:  2019-06-13       Impact factor: 4.297

5.  The impact of genetic merit on ewe performance and efficiency parameters.

Authors:  Nicola Fetherstone; Noirin McHugh; Tommy M Boland; Philip Creighton; Norann Galvin; Fiona M McGovern
Journal:  J Anim Sci       Date:  2021-12-01       Impact factor: 3.159

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.