Literature DB >> 30272227

Genotype by feed interaction for feed efficiency and growth performance traits in pigs.

R M Godinho1,2, J W M Bastiaansen2, C A Sevillano2,3, F F Silva1, S E F Guimarães1, R Bergsma3.   

Abstract

A major objective of pork producers is to reduce production cost. Feeding may account for over 75% of pork production costs. Thus, selecting pigs for feed efficiency (FE) traits is a priority in pig breeding programs. While in the Americas, pigs are typically fed high-input diets, based on corn and soybean meal (CS); in Western Europe, pigs are commonly fed diets based on wheat and barley with high amounts of added protein-rich coproducts (WB), e.g., from milling and seed-oil industries. These two feeding scenarios provided a realistic setting for investigating a specific type of genotype by environment interaction; thus, we investigated the genotype by feed interaction (GxF). In the presence of a GxF, different feed compositions should be considered when selecting for FE. This study aimed to 1) verify the presence of a GxF for FE and growth performance traits in different growth phases (starter, grower, and finisher) of 3-way crossbred growing-finishing pigs fed either a CS (547 boars and 558 gilts) or WB (567 boars and 558 gilts) diet; and 2) to assess and compare the expected responses to direct selection under the 2 diets and the expected correlated responses for one diet to indirect selection under the other diet. We found that GxF did not interfere in the ranking of genotypes under both diets for growth, protein deposition, feed intake, energy intake, or feed conversion rate. Therefore, for these traits, we recommend changing the diet of growing-finishing pigs from high-input feed (i.e., CS) to feed with less valuable ingredients, as WB, to reduce production costs and the environmental impact, regardless of which diet is used in selection. We found that GxF interfered in the ranking of genotypes and caused heterogeneity of genetic variance under both diets for lipid deposition (LD), residual energy intake (REI), and residual feed intake (RFI). Thus, selecting pigs under a diet different from the diet used for growing-finishing performance could compromise the LD in all growth phases, compromise the REI and RFI during the starter phase, and severely compromise the REI during the grower phase. In particular, when pigs are required to consume a WB diet for growing-finishing performance, pigs should be selected for FE under the same diet. Breeding pigs for FE under lower-input diets should be considered, because FE traits will become more important and lower-input diets will become more widespread in the near future.

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Year:  2018        PMID: 30272227      PMCID: PMC6162583          DOI: 10.1093/jas/sky304

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


  6 in total

1.  Heat stress effects on farrowing rate in sows: genetic parameter estimation using within-line and crossbred models.

Authors:  S Bloemhof; A Kause; E F Knol; J A M Van Arendonk; I Misztal
Journal:  J Anim Sci       Date:  2012-01-20       Impact factor: 3.159

2.  Selection response and genetic parameters for residual feed intake in Yorkshire swine.

Authors:  W Cai; D S Casey; J C M Dekkers
Journal:  J Anim Sci       Date:  2007-11-12       Impact factor: 3.159

3.  Estimating challenge load due to disease outbreaks and other challenges using reproduction records of sows.

Authors:  P K Mathur; J M Herrero-Medrano; P Alexandri; E F Knol; J ten Napel; H Rashidi; H A Mulder
Journal:  J Anim Sci       Date:  2014-11-03       Impact factor: 3.159

4.  Genetic correlations between lactation performance and growing-finishing traits in pigs.

Authors:  R Bergsma; P K Mathur; E Kanis; M W A Verstegen; E F Knol; J A M Van Arendonk
Journal:  J Anim Sci       Date:  2013-07-23       Impact factor: 3.159

5.  Estimation of genetic parameters and breeding values across challenged environments to select for robust pigs.

Authors:  J M Herrero-Medrano; P K Mathur; J ten Napel; H Rashidi; P Alexandri; E F Knol; H A Mulder
Journal:  J Anim Sci       Date:  2015-04       Impact factor: 3.159

6.  Genetic variation for farrowing rate in pigs in response to change in photoperiod and ambient temperature.

Authors:  C A Sevillano; H A Mulder; H Rashidi; P K Mathur; E F Knol
Journal:  J Anim Sci       Date:  2016-08       Impact factor: 3.159

  6 in total
  3 in total

1.  Investigation of muscle transcriptomes using gradient boosting machine learning identifies molecular predictors of feed efficiency in growing pigs.

Authors:  Farouk Messad; Isabelle Louveau; Basile Koffi; Hélène Gilbert; Florence Gondret
Journal:  BMC Genomics       Date:  2019-08-17       Impact factor: 3.969

2.  Genotype-by-environment interactions for reproduction, body composition, and growth traits in maternal-line pigs based on single-step genomic reaction norms.

Authors:  Shi-Yi Chen; Pedro H F Freitas; Hinayah R Oliveira; Sirlene F Lázaro; Yi Jian Huang; Jeremy T Howard; Youping Gu; Allan P Schinckel; Luiz F Brito
Journal:  Genet Sel Evol       Date:  2021-06-17       Impact factor: 4.297

3.  Effects of sire line, birth weight and sex on growth performance and carcass traits of crossbred pigs under standardized environmental conditions.

Authors:  Kathrin Elbert; Neal Matthews; Ralf Wassmuth; Jens Tetens
Journal:  Arch Anim Breed       Date:  2020-11-03
  3 in total

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