Literature DB >> 27085407

Harnessing the genetics of the modern dairy cow to continue improvements in feed efficiency.

M J VandeHaar1, L E Armentano2, K Weigel2, D M Spurlock3, R J Tempelman4, R Veerkamp5.   

Abstract

Feed efficiency, as defined by the fraction of feed energy or dry matter captured in products, has more than doubled for the US dairy industry in the past 100 yr. This increased feed efficiency was the result of increased milk production per cow achieved through genetic selection, nutrition, and management with the desired goal being greater profitability. With increased milk production per cow, more feed is consumed per cow, but a greater portion of the feed is partitioned toward milk instead of maintenance and body growth. This dilution of maintenance has been the overwhelming driver of enhanced feed efficiency in the past, but its effect diminishes with each successive increment in production relative to body size and therefore will be less important in the future. Instead, we must also focus on new ways to enhance digestive and metabolic efficiency. One way to examine variation in efficiency among animals is residual feed intake (RFI), a measure of efficiency that is independent of the dilution of maintenance. Cows that convert feed gross energy to net energy more efficiently or have lower maintenance requirements than expected based on body weight use less feed than expected and thus have negative RFI. Cows with low RFI likely digest and metabolize nutrients more efficiently and should have overall greater efficiency and profitability if they are also healthy, fertile, and produce at a high multiple of maintenance. Genomic technologies will help to identify these animals for selection programs. Nutrition and management also will continue to play a major role in farm-level feed efficiency. Management practices such as grouping and total mixed ration feeding have improved rumen function and therefore efficiency, but they have also decreased our attention on individual cow needs. Nutritional grouping is key to helping each cow reach its genetic potential. Perhaps new computer-driven technologies, combined with genomics, will enable us to optimize management for each individual cow within a herd, or to optimize animal selection to match management environments. In the future, availability of feed resources may shift as competition for land increases. New approaches combining genetic, nutrition, and other management practices will help optimize feed efficiency, profitability, and environmental sustainability.
Copyright © 2016 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  dairy cattle; feed efficiency; genetics

Mesh:

Year:  2016        PMID: 27085407     DOI: 10.3168/jds.2015-10352

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


  14 in total

1.  Genetic parameters for body weight and milk production of dairy Gyr herds.

Authors:  Bruna Hortolani; Priscila Arrigucci Bernardes; Aníbal Eugênio Vercesi Filho; João Cláudio do Carmo Panetto; Lenira El Faro
Journal:  Trop Anim Health Prod       Date:  2022-01-28       Impact factor: 1.559

2.  Data of bacterial community dynamics resulting from total rumen content exchange in beef cattle.

Authors:  Brooke A Clemmons; Madison T Henniger; Phillip R Myer
Journal:  BMC Res Notes       Date:  2021-08-10

3.  Signatures of selection reveal candidate genes involved in economic traits and cold acclimation in five Swedish cattle breeds.

Authors:  Seyed Mohammad Ghoreishifar; Susanne Eriksson; Anna M Johansson; Majid Khansefid; Sima Moghaddaszadeh-Ahrabi; Nahid Parna; Pourya Davoudi; Arash Javanmard
Journal:  Genet Sel Evol       Date:  2020-09-04       Impact factor: 4.297

4.  Sources of variation in maternal allocation in a long-lived mammal.

Authors:  Kaitlin R Macdonald; Jay J Rotella; Robert A Garrott; William A Link
Journal:  J Anim Ecol       Date:  2020-06-29       Impact factor: 5.091

Review 5.  Opportunities to Harness High-Throughput and Novel Sensing Phenotypes to Improve Feed Efficiency in Dairy Cattle.

Authors:  Cori J Siberski-Cooper; James E Koltes
Journal:  Animals (Basel)       Date:  2021-12-22       Impact factor: 2.752

Review 6.  The Potential of Using Temperate-Tropical Crossbreds and Agricultural by-Products, Associated with Heat Stress Management for Dairy Production in the Tropics: A Review.

Authors:  Predith Michael; Clement Roy de Cruz; Norhariani Mohd Nor; Saadiah Jamli; Yong Meng Goh
Journal:  Animals (Basel)       Date:  2021-12-21       Impact factor: 2.752

7.  Assessment of the Relationship between Postpartum Health and Mid-Lactation Performance, Behavior, and Feed Efficiency in Holstein Dairy Cows.

Authors:  Malia J Martin; Kent A Weigel; Heather M White
Journal:  Animals (Basel)       Date:  2021-05-13       Impact factor: 2.752

8.  The Ruminant Farm Systems Animal Module: A Biophysical Description of Animal Management.

Authors:  Tayler L Hansen; Manfei Li; Jinghui Li; Chris J Vankerhove; Militsa A Sotirova; Juan M Tricarico; Victor E Cabrera; Ermias Kebreab; Kristan F Reed
Journal:  Animals (Basel)       Date:  2021-05-12       Impact factor: 2.752

9.  Canola Meal versus Soybean Meal as Protein Supplements in the Diets of Lactating Dairy Cows Affects the Greenhouse Gas Intensity of Milk.

Authors:  Lucia Holtshausen; Chaouki Benchaar; Roland Kröbel; Karen A Beauchemin
Journal:  Animals (Basel)       Date:  2021-05-31       Impact factor: 2.752

10.  Circulating Metabolites Indicate Differences in High and Low Residual Feed Intake Holstein Dairy Cows.

Authors:  Malia J Martin; Ryan S Pralle; Isabelle R Bernstein; Michael J VandeHaar; Kent A Weigel; Zheng Zhou; Heather M White
Journal:  Metabolites       Date:  2021-12-14
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