Literature DB >> 22100596

Correlated responses in sow appetite, residual feed intake, body composition, and reproduction after divergent selection for residual feed intake in the growing pig.

H Gilbert1, J-P Bidanel, Y Billon, H Lagant, P Guillouet, P Sellier, J Noblet, S Hermesch.   

Abstract

Residual feed intake (RFI) has been explored as an alternative selection criterion to feed conversion ratio to capture the fraction of feed intake not explained by expected production and maintenance requirements. Selection experiments have found that low RFI in the growing pig is genetically correlated with reduced fatness and feed intake. Selection for feed conversion ratio also reduces sow appetite and fatness, which, together with increased prolificacy, has been seen as a hindrance for sow lifetime performance. The aims of our study were to derive equations for sow RFI during lactation (SRFI) and to evaluate the effect of selection for RFI during growth on sow traits during lactation. Data were obtained on 2 divergent lines selected for 7 generations for low and high RFI during growth in purebred Large Whites. The RFI was measured on candidates for selection (1,065 pigs), and sow performance data were available for 480 sows having from 1 to 3 parities (1,071 parities). Traits measured were sow daily feed intake (SDFI); sow BW and body composition before farrowing and at weaning (28.4 ± 1.7d); number of piglets born total, born alive, and surviving at weaning; and litter weight, average piglet BW, and within-litter SD of piglet BW at birth, 21 d of age (when creep feeding was available), and weaning. Sow RFI was defined as the difference between observed SDFI and SDFI predicted for sow maintenance and production. Daily production requirements were quantified by litter size and daily litter BW gain as well as daily changes in sow body reserves. The SRFI represented 24% of the phenotypic variability of SDFI. Heritability estimates for RFI and SRFI were both 0.14. The genetic correlation between RFI and SRFI was 0.29 ± 0.23. Genetic correlations of RFI with sow traits were low to moderate, consistent with responses to selection; selection for low RFI during growth reduced SDFI and increased number of piglets and litter growth, but also increased mobilization of body reserves. No effect on rebreeding performance was found. Metabolic changes previously observed during growth in response to selection might explain part of the better efficiency of the low-RFI sows, decreasing basal metabolism and favoring rapid allocation of resources to lactation. We propose to consider SRFI as an alternative to SDFI to select for efficient sows with reduced input demands during lactation.

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Year:  2011        PMID: 22100596     DOI: 10.2527/jas.2011-4515

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


  15 in total

1.  Thermoregulatory responses during thermal acclimation in pigs divergently selected for residual feed intake.

Authors:  Paulo Henrique Reis Furtado Campos; Jean Noblet; Yolande Jaguelin-Peyraud; Hélène Gilbert; Pierre Mormède; Rita Flavia Miranda de Oliveira Donzele; Juarez Lopes Donzele; David Renaudeau
Journal:  Int J Biometeorol       Date:  2014-01-04       Impact factor: 3.787

2.  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

3.  Economic and environmental assessments of combined genetics and nutrition optimization strategies to improve the efficiency of sustainable pork production.

Authors:  Tara Soleimani; Susanne Hermesch; Hélène Gilbert
Journal:  J Anim Sci       Date:  2021-03-01       Impact factor: 3.159

Review 4.  Review: divergent selection for residual feed intake in the growing pig.

Authors:  H Gilbert; Y Billon; L Brossard; J Faure; P Gatellier; F Gondret; E Labussière; B Lebret; L Lefaucheur; N Le Floch; I Louveau; E Merlot; M-C Meunier-Salaün; L Montagne; P Mormede; D Renaudeau; J Riquet; C Rogel-Gaillard; J van Milgen; A Vincent; J Noblet
Journal:  Animal       Date:  2017-01-25       Impact factor: 3.240

5.  Differentially expressed genes in the caecal and colonic mucosa of Landrace finishing pigs with high and low food conversion ratios.

Authors:  Zhen Tan; Yuan Wang; Ting Yang; Kai Xing; Hong Ao; Shaokang Chen; Fengxia Zhang; Xitong Zhao; Jianfeng Liu; Chuduan Wang
Journal:  Sci Rep       Date:  2017-11-02       Impact factor: 4.379

6.  Differences in gut microbiota composition in finishing Landrace pigs with low and high feed conversion ratios.

Authors:  Zhen Tan; Yuan Wang; Ting Yang; Hong Ao; Shaokang Chen; Kai Xing; Fengxia Zhang; Xitong Zhao; Jianfeng Liu; Chuduan Wang
Journal:  Antonie Van Leeuwenhoek       Date:  2018-03-01       Impact factor: 2.271

7.  Transcriptome analysis of mRNA and miRNA in skeletal muscle indicates an important network for differential Residual Feed Intake in pigs.

Authors:  Lu Jing; Ye Hou; Hui Wu; Yuanxin Miao; Xinyun Li; Jianhua Cao; John Michael Brameld; Tim Parr; Shuhong Zhao
Journal:  Sci Rep       Date:  2015-07-07       Impact factor: 4.379

8.  Effects of correcting missing daily feed intake values on the genetic parameters and estimated breeding values for feeding traits in pigs.

Authors:  Tetsuya Ito; Kazuo Fukawa; Mai Kamikawa; Satoshi Nikaidou; Masaaki Taniguchi; Aisaku Arakawa; Genki Tanaka; Satoshi Mikawa; Tsutomu Furukawa; Kensuke Hirose
Journal:  Anim Sci J       Date:  2017-08-30       Impact factor: 1.749

9.  A Transcriptome Analysis Identifies Biological Pathways and Candidate Genes for Feed Efficiency in DLY Pigs.

Authors:  Xingwang Wang; Shaoyun Li; Jie Wu; Rongrong Ding; Jianping Quan; Enqin Zheng; Jie Yang; Zhenfang Wu
Journal:  Genes (Basel)       Date:  2019-09-18       Impact factor: 4.096

10.  Identification of Important Proteins and Pathways Affecting Feed Efficiency in DLY Pigs by iTRAQ-Based Proteomic Analysis.

Authors:  Jie Wu; Xingwang Wang; Rongrong Ding; Jianping Quan; Yong Ye; Ting Gu; Zheng Xu; Enqin Zheng; Gengyuan Cai; Zhenfang Wu; Ming Yang; Jie Yang
Journal:  Animals (Basel)       Date:  2020-01-22       Impact factor: 2.752

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