Literature DB >> 28651668

Impact of hygiene of housing conditions on performance and health of two pig genetic lines divergent for residual feed intake.

A Chatelet1, F Gondret1, E Merlot1, H Gilbert2, N C Friggens3, N Le Floc'h1.   

Abstract

Pigs selected for high performance may be more at risk of developing diseases. This study aimed to assess the health and performance of two pig lines divergently selected for residual feed intake (RFI) (low RFI (LRFI) v. high RFI (HRFI)) and housed in two contrasted hygiene conditions (poor v. good) using a 2×2 factorial design (n=40/group). The challenge period (Period 1), started on week zero (W0) when 12-week-old pigs were transferred to good or poor housing conditions. At week 6 (W6), half of the pigs in each group were slaughtered. During a recovery period (Period 2) from W6 to W13 to W14, the remaining pigs (n=20/group) were transferred in good hygiene conditions before being slaughtered. Blood was collected every three (Period 1) or 2 weeks (Period 2) to assess blood indicators of immune and inflammatory responses. Pulmonary lesions at slaughter and performance traits were evaluated. At W6, pneumonia prevalence was greater for pigs housed in poor than in good conditions (51% v. 8%, respectively, P<0.001). Irrespective of hygiene conditions, lung lesion scores were lower for LRFI pigs than for HRFI pigs (P=0.03). At W3, LRFI in poor conditions had the highest number of blood granulocytes (hygiene×line, P=0.03) and at W6, HRFI pigs in poor conditions had the greatest plasma haptoglobin concentrations (hygiene×line, P=0.02). During Period 1, growth rate and growth-to-feed ratio were less affected by poor hygiene in LRFI pigs than in HRFI pigs (hygiene×line, P=0.001 and P=0.02, respectively). Low residual feed intake pigs in poor conditions ate more than the other groups (hygiene×line, P=0.002). Irrespective of the line, fasting plasma glucose concentrations were higher in poor conditions, whereas fasting free fatty acids concentrations were lower than in good conditions. At the end of Period 2, pneumonia prevalence was similar for both housing conditions (39% v. 38%, respectively). During Period 2, plasma protein concentrations were greater for pigs previously housed in poor than in good conditions during Period 1. Immune traits, gain-to-feed ratio, BW gain and feed consumption did not differ during Period 2. Nevertheless, at W12, BW of HRFI previously housed in poor conditions was 13.4 kg lower than BW of HRFI pigs (P<0.001) previously housed in good conditions. In conclusion, health of the most feed efficient LRFI pigs was less impaired by poor hygiene conditions. This line was able to preserve its health, growth performance and its feed ingestion to a greater extent than the less efficient HRFI line.

Entities:  

Keywords:  genetic; growth; health; pigs

Mesh:

Year:  2017        PMID: 28651668     DOI: 10.1017/S1751731117001379

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


  12 in total

1.  Effect of live yeast supplementation in sow diet during gestation and lactation on sow and piglet fecal microbiota, health, and performance.

Authors:  Nathalie Le Flocʹh; Caroline Stéphanie Achard; Francis Amann Eugenio; Emmanuelle Apper; Sylvie Combes; Hélène Quesnel
Journal:  J Anim Sci       Date:  2022-08-01       Impact factor: 3.338

2.  Poor hygiene of housing conditions influences energy metabolism in a muscle type-dependent manner in growing pigs differing in feed efficiency.

Authors:  Annie Vincent; Frédéric Dessauge; Florence Gondret; Bénédicte Lebret; Nathalie Le Floc'h; Isabelle Louveau; Louis Lefaucheur
Journal:  Sci Rep       Date:  2022-05-14       Impact factor: 4.996

3.  Metabolic adaptation of pigs to a Mycoplasma hyopneumoniae and Lawsonia intracellularis dual challenge.

Authors:  Emma T Helm; Amanda C Outhouse; Kent J Schwartz; Steven M Lonergan; Shelby M Curry; Jack C M Dekkers; Nicholas K Gabler
Journal:  J Anim Sci       Date:  2018-07-28       Impact factor: 3.159

4.  Responses to weaning in two pig lines divergently selected for residual feed intake depending on diet.

Authors:  Hélène Gilbert; Julien Ruesche; Nelly Muller; Yvon Billon; Vincent Begos; Lucile Montagne
Journal:  J Anim Sci       Date:  2019-01-01       Impact factor: 3.159

5.  Acute systemic inflammatory response to lipopolysaccharide stimulation in pigs divergently selected for residual feed intake.

Authors:  Haibo Liu; Kristina M Feye; Yet T Nguyen; Anoosh Rakhshandeh; Crystal L Loving; Jack C M Dekkers; Nicholas K Gabler; Christopher K Tuggle
Journal:  BMC Genomics       Date:  2019-10-11       Impact factor: 3.969

6.  Tissue-specific responses of antioxidant pathways to poor hygiene conditions in growing pigs divergently selected for feed efficiency.

Authors:  K Sierżant; M-H Perruchot; E Merlot; N Le Floc'h; F Gondret
Journal:  BMC Vet Res       Date:  2019-10-16       Impact factor: 2.741

7.  Selection for feed efficiency elicits different postprandial plasma metabolite profiles in response to poor hygiene of housing conditions in growing pigs.

Authors:  Alícia Zem Fraga; Isabelle Louveau; Paulo Henrique Reis Furtado Campos; Luciano Hauschild; Nathalie Le Floc'h
Journal:  PLoS One       Date:  2021-03-29       Impact factor: 3.240

8.  Identification of blood immune and metabolic indicators explaining the variability of growth of pigs under contrasted sanitary conditions.

Authors:  N Le Floc'h; F Gondret; R Resmond
Journal:  BMC Vet Res       Date:  2021-04-15       Impact factor: 2.741

9.  Effects of host genetics and environmental conditions on fecal microbiota composition of pigs.

Authors:  Tereza Kubasova; Lenka Davidova-Gerzova; Vladimir Babak; Darina Cejkova; Lucile Montagne; Nathalie Le-Floc'h; Ivan Rychlik
Journal:  PLoS One       Date:  2018-08-07       Impact factor: 3.240

10.  A value chain analysis of interventions to control production diseases in the intensive pig production sector.

Authors:  Jarkko Niemi; Richard Bennett; Beth Clark; Lynn Frewer; Philip Jones; Thomas Rimmler; Richard Tranter
Journal:  PLoS One       Date:  2020-04-08       Impact factor: 3.240

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