Literature DB >> 23462165

Short communication: estimation of genetic parameters for residual feed intake and feeding behavior traits in dairy heifers.

Z Lin1, I Macleod2, J E Pryce3.   

Abstract

Data from a 2-yr feeding trial of Holstein-Friesian heifers (n=842) were used to examine the heritability of feeding behavior traits and their relationships with residual feed intake (RFI), a measure of feed efficiency. Five traits were assessed: number of meals, feeding duration, dry matter intake (DMI), eating rate, and average meal size. For estimating genetic parameters, all traits were simultaneously fitted in a multivariate model with a genomic relationship matrix calculated from heifers' high-density genotype data. All 5 traits were moderately heritable (0.45-0.50), which was slightly higher than the estimate for RFI (0.40 ± 0.09). Two traits had modest genetic correlations with RFI (DMI and feeding duration; 0.45 ± 0.13 and 0.27 ± 0.15, respectively), and 2 traits had modest phenotypic correlations with RFI (DMI and eating rate; 0.52 ± 0.03 and 0.23 ± 0.04, respectively). The results indicate that feeding behavior (1) may differ between efficient and inefficient animals and (2) may be useful for selecting animals with better feed efficiency. However, the limitation is that measurements on DMI are still essential. It is therefore possible that a more efficient selection tool for RFI may be the use of high-density DNA markers to make direct genomic predictions for RFI.
Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23462165     DOI: 10.3168/jds.2012-6134

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  4 in total

1.  Eating Time as a Genetic Indicator of Methane Emissions and Feed Efficiency in Australian Maternal Composite Sheep.

Authors:  Boris J Sepulveda; Stephanie K Muir; Sunduimijid Bolormaa; Matthew I Knight; Ralph Behrendt; Iona M MacLeod; Jennie E Pryce; Hans D Daetwyler
Journal:  Front Genet       Date:  2022-05-11       Impact factor: 4.772

2.  RNA-Seq transcriptomics and pathway analyses reveal potential regulatory genes and molecular mechanisms in high- and low-residual feed intake in Nordic dairy cattle.

Authors:  M S Salleh; G Mazzoni; J K Höglund; D W Olijhoek; P Lund; P Løvendahl; H N Kadarmideen
Journal:  BMC Genomics       Date:  2017-03-24       Impact factor: 3.969

3.  Effects of Incorporating Dry Matter Intake and Residual Feed Intake into a Selection Index for Dairy Cattle Using Deterministic Modeling.

Authors:  Kerry Houlahan; Flavio S Schenkel; Dagnachew Hailemariam; Jan Lassen; Morten Kargo; John B Cole; Erin E Connor; Silvia Wegmann; Oliveira Junior; Filippo Miglior; Allison Fleming; Tatiane C S Chud; Christine F Baes
Journal:  Animals (Basel)       Date:  2021-04-17       Impact factor: 2.752

4.  Genetic variability in the feeding behavior of crossbred growing cattle and associations with performance and feed efficiency.

Authors:  David N Kelly; Roy D Sleator; Craig P Murphy; Stephen B Conroy; Donagh P Berry
Journal:  J Anim Sci       Date:  2021-11-01       Impact factor: 3.159

  4 in total

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