Literature DB >> 28805927

The relationship between different measures of feed efficiency and feeding behavior traits in Duroc pigs.

D Lu, S Jiao, F Tiezzi, M Knauer, Y Huang, K A Gray, C Maltecca.   

Abstract

Utilization of feed in livestock species consists of a wide range of biological processes, and therefore, its efficiency can be expressed in various ways, including direct measurement, such as daily feed intake, as well as indicator measures, such as feeding behavior. Measuring feed efficiency is important to the swine industry, and its accuracy can be enhanced by using automated feeding systems, which record feed intake and associated feeding behavior of individual animals. Each automated feeder space is often shared among several pigs and therefore raises concerns about social interactions among pen mates with regard to feeding behavior. The study herein used a data set of 14,901 Duroc boars with individual records on feed intake, feeding behavior, and other off-test traits. These traits were modeled with and without the random spatial effect of Pen_Room, a concatenation of room and pen, or random social interaction among pen mates. The nonheritable spatial effect of common Pen-Room was observed for traits directly measuring feed intake and accounted for up to 13% of the total phenotypic variance in the average daily feeding rate. The social interaction effect explained larger proportions of phenotypic variation in all the traits studied, with the highest being 59% for ADFI in the group of feeding behaviors, 73% for residual feed intake (RFI; RFI4 and RFI6) in the feed efficiency traits, and 69% for intramuscular fat percentage in the off-test traits. After accounting for the social interaction effect, residual BW gain and RFI and BW gain (RIG) were found to have the heritability of 0.38 and 0.18, respectively, and had strong genetic correlations with growth and off-test traits. Feeding behavior traits were found to be moderately heritable, ranging from 0.14 (ADFI) to 0.52 (average daily occupation time), and some of them were strongly correlated with feed efficiency measures; for example, there was a genetic correlation of 0.88 between ADFI and RFI6. Our work suggested that accounting for the social common pen effect was important for estimating genetic parameters of traits recorded by the automated feeding system. Residual BW gain and RIG appeared to be two robust measures of feed efficiency. Feeding behavior measures are worth further investigation as indicators of feed efficiency.

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Year:  2017        PMID: 28805927     DOI: 10.2527/jas.2017.1509

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


  15 in total

1.  Genome-wide association study for carcass quality traits and growth in purebred and crossbred pigs1.

Authors:  Matteo Bergamaschi; Christian Maltecca; Justin Fix; Clint Schwab; Francesco Tiezzi
Journal:  J Anim Sci       Date:  2020-01-01       Impact factor: 3.159

2.  Genetic and phenotypic parameters for feed efficiency and component traits in American mink.

Authors:  Pourya Davoudi; Duy Do; Stefanie M Colombo; Bruce Rathgeber; Guoyu Hu; Mehdi Sargolzaei; Zhiquan Wang; Graham Plastow; Younes Miar
Journal:  J Anim Sci       Date:  2022-08-01       Impact factor: 3.338

Review 3.  Application of Genetic, Genomic and Biological Pathways in Improvement of Swine Feed Efficiency.

Authors:  Pourya Davoudi; Duy Ngoc Do; Stefanie M Colombo; Bruce Rathgeber; Younes Miar
Journal:  Front Genet       Date:  2022-06-09       Impact factor: 4.772

4.  Use of Host Feeding Behavior and Gut Microbiome Data in Estimating Variance Components and Predicting Growth and Body Composition Traits in Swine.

Authors:  Yuqing He; Francesco Tiezzi; Jicai Jiang; Jeremy T Howard; Yijian Huang; Kent Gray; Jung-Woo Choi; Christian Maltecca
Journal:  Genes (Basel)       Date:  2022-04-26       Impact factor: 4.141

5.  Genetic analysis of disease resilience in wean-to-finish pigs from a natural disease challenge model.

Authors:  Jian Cheng; Austin M Putz; John C S Harding; Michael K Dyck; Frederic Fortin; Graham S Plastow; PigGen Canada; Jack C M Dekkers
Journal:  J Anim Sci       Date:  2020-08-01       Impact factor: 3.159

6.  Genetic correlations between feed efficiency traits, and growth performance and carcass traits in purebred and crossbred pigs.

Authors:  R M Godinho; R Bergsma; F F Silva; C A Sevillano; E F Knol; M S Lopes; P S Lopes; J W M Bastiaansen; S E F Guimarães
Journal:  J Anim Sci       Date:  2018-04-03       Impact factor: 3.159

7.  Estimation of direct and social effects of feeding duration in growing pigs using records from automatic feeding stations.

Authors:  Belcy K Angarita; Junjie Han; Rodolfo J C Cantet; Sarah K Chewning; Kaitlin E Wurtz; Janice M Siegford; Catherine W Ernst; Juan Pedro Steibel
Journal:  J Anim Sci       Date:  2021-05-01       Impact factor: 3.338

8.  Genetic Architecture of Feeding Behavior and Feed Efficiency in a Duroc Pig Population.

Authors:  Rongrong Ding; Ming Yang; Xingwang Wang; Jianping Quan; Zhanwei Zhuang; Shenping Zhou; Shaoyun Li; Zheng Xu; Enqin Zheng; Gengyuan Cai; Dewu Liu; Wen Huang; Jie Yang; Zhenfang Wu
Journal:  Front Genet       Date:  2018-06-19       Impact factor: 4.599

9.  Predicting Growth and Carcass Traits in Swine Using Microbiome Data and Machine Learning Algorithms.

Authors:  Christian Maltecca; Duc Lu; Constantino Schillebeeckx; Nathan P McNulty; Clint Schwab; Caleb Shull; Francesco Tiezzi
Journal:  Sci Rep       Date:  2019-04-25       Impact factor: 4.379

10.  Gut microbiome composition differences among breeds impact feed efficiency in swine.

Authors:  Matteo Bergamaschi; Francesco Tiezzi; Jeremy Howard; Yi Jian Huang; Kent A Gray; Constantino Schillebeeckx; Nathan P McNulty; Christian Maltecca
Journal:  Microbiome       Date:  2020-07-22       Impact factor: 14.650

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