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ORIGINAL RESEARCH article

Front. Genet.
Sec. Livestock Genomics
Volume 15 - 2024 | doi: 10.3389/fgene.2024.1462306

Genomic evaluation of residual feed intake in US Holstein cows: Insights into lifetime feed efficiency

Provisionally accepted
Piush Khanal Piush Khanal *Jocelyn Johnson Jocelyn Johnson Gabriela Gouveia Gabriela Gouveia Pablo Ross Pablo Ross Nader Deeb Nader Deeb
  • STgenetics, Navasota, TX, United States

The final, formatted version of the article will be published soon.

    Residual feed intake (RFI) is an important feed efficiency trait that has been increasingly considered in breeding objectives for dairy cattle. The objectives of this study were to estimate the genetic parameters of RFI and its component traits [dry matter intake (DMI), body weight (BW) and energy corrected milk (ECM)] in lactating Holstein cows, to develop a system for genomic evaluation for RFI in lactating Holstein cows and to explore the association of RFI of heifers and cows. RFI was calculated from 2,538 first (n = 2,118) and second (n = 420) lactation Holsteins cows between 2020 and 2024 as part of STgenetics EcoFeed® program. There were 1,516 animals with previous RFI as heifers from the same research station. After quality control, 61,283 single nucleotide polymorphisms were used for the analyses. Univariate analyses were performed to estimate the heritabilities for RFI and its components in lactating cows, and bivariate analyses were performed to estimate the genetic correlation between RFI of heifer and lactating cow using genomic best unbiased linear prediction (GBLUP) method. Animals with phenotypes and genotypes were used as training population and animals with only genotypes were considered as prediction population. Reliability of breeding values was obtained by approximation based on partitioning a function of the accuracy of training population genomic estimated breeding values (GEBVs) and magnitudes of genomic relationships between individuals in the training and prediction population. The heritability estimates (mean ± SE) of RFI, DMI, ECM, and BW, were 0.43 ± 0.07, 0.44 ± 0.04, 0.40 ± 0.05, and 0.46 ± 0.04, respectively. Average reliability of GEBVs for RFI from training and prediction population were 44% and 30%, respectively. The genetic correlations for RFI were 0.42 ± 0.08 between heifer and first lactation cows and 0.34 ± 0.06 between heifer and, first and second lactation cows. Our results showed that genetic component of RFI is not fully carried over from heifers to cows and there is re-ranking of individuals at different life stages. Selection of animals for feed efficiency on a lifetime basis requires accounting for efficiencies during animal growth and milk production as a lactating cow.

    Keywords: residual feed intake, Dry matter intake, energy corrected milk, Body Weight, Cow, feed efficiency, Genomic evaluation

    Received: 09 Jul 2024; Accepted: 11 Oct 2024.

    Copyright: © 2024 Khanal, Johnson, Gouveia, Ross and Deeb. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Piush Khanal, STgenetics, Navasota, TX, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.