Literature DB >> 15384913

Phenotypic selection for residual feed intake and its effect on humoral immune responses in growing layer hens.

E Van Eerden1, H Van Den Brand, H K Parmentier, M C M De Jong, B Kemp.   

Abstract

According to the resource allocation theory, animals have to make a trade-off between resource-demanding life traits to obtain maximal fitness. Artificial selection toward efficient producing farm animals, however, may have created animals that have an impaired ability to divert resources to maintenance processes, such as responding to immune challenges. Residual feed intake (RFI), defined as the difference between observed feed intake (FI) and expected feed intake based on metabolic BW and growth, was used as a measure for feed efficiency. Individual BW and FI of 352 pullets were recorded weekly from 4 until 14 wk of age to estimate RFI. The top 50 efficient R- and the top 50 nonefficient R+ birds were selected. BW and BW gain in both groups were similar. FI and RFI, however, were significantly higher in R+ birds. Thirty animals out of every group were randomly allocated to 1 of 3 treatments: immunization with keyhole limpet hemocyanin (KLH), Mycobacterium butyricum, or heat-inactivated Salmonella enteritidis bacteria. Antibody titers against KLH, M. butyricum, or Salmonella lipopolysaccharide did not differ between R+ and R- birds. The antibody titer against Salmonella protein was higher in R+ birds. We concluded that a population of chickens from a commercial breed shows considerable variation in RFI. Specific antibody production against KLH, M. butyricum, and S. enteritidis lipopolysaccharide, however, is not influenced by efficiency in terms of RFI. R+ animals may have a higher level of nonantigen specific antibodies, as indicated by the higher antibody response to Salmonella protein.

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Year:  2004        PMID: 15384913     DOI: 10.1093/ps/83.9.1602

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


  7 in total

1.  Analysis of copy number variations in Holstein cows identify potential mechanisms contributing to differences in residual feed intake.

Authors:  Yali Hou; Derek M Bickhart; Hoyoung Chung; Jana L Hutchison; H Duane Norman; Erin E Connor; George E Liu
Journal:  Funct Integr Genomics       Date:  2012-09-19       Impact factor: 3.410

2.  Assessment of trade-offs between feed efficiency, growth-related traits, and immune activity in experimental lines of layer chickens.

Authors:  Tatiana Zerjal; Sonja Härtle; David Gourichon; Vanaïque Guillory; Nicolas Bruneau; Denis Laloë; Marie-Hélène Pinard-van der Laan; Sascha Trapp; Bertrand Bed'hom; Pascale Quéré
Journal:  Genet Sel Evol       Date:  2021-05-06       Impact factor: 4.297

3.  Intestinal microbiota profiles associated with low and high residual feed intake in chickens across two geographical locations.

Authors:  Sina-Catherine Siegerstetter; Stephan Schmitz-Esser; Elizabeth Magowan; Stefanie Urimare Wetzels; Qendrim Zebeli; Peadar G Lawlor; Niamh E O'Connell; Barbara U Metzler-Zebeli
Journal:  PLoS One       Date:  2017-11-15       Impact factor: 3.240

4.  Comparative transcriptome analysis of the Pacific White Shrimp (Litopenaeus vannamei) muscle reveals the molecular basis of residual feed intake.

Authors:  Ping Dai; Sheng Luan; Xia Lu; Kun Luo; Jie Kong
Journal:  Sci Rep       Date:  2017-09-05       Impact factor: 4.379

5.  Feed conversion ratio, residual feed intake and cholecystokinin type A receptor gene polymorphisms are associated with feed intake and average daily gain in a Chinese local chicken population.

Authors:  Zhenhua Yi; Xing Li; Wen Luo; Zhenqiang Xu; Congliang Ji; Yan Zhang; Qinghua Nie; Dexiang Zhang; Xiquan Zhang
Journal:  J Anim Sci Biotechnol       Date:  2018-06-14

6.  Correlated effects of selection for immunity in White Leghorn chicken lines on natural antibodies and specific antibody responses to KLH and M. butyricum.

Authors:  Giulietta Minozzi; Henk K Parmentier; Sandrine Mignon-Grasteau; Mike Gb Nieuwland; Bertrand Bed'hom; David Gourichon; Francis Minvielle; Marie-Helen Pinard-van der Laan
Journal:  BMC Genet       Date:  2008-01-14       Impact factor: 2.797

7.  In-Depth Duodenal Transcriptome Survey in Chickens with Divergent Feed Efficiency Using RNA-Seq.

Authors:  Guoqiang Yi; Jingwei Yuan; Huijuan Bi; Wei Yan; Ning Yang; Lujiang Qu
Journal:  PLoS One       Date:  2015-09-29       Impact factor: 3.240

  7 in total

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