Genetic mechanisms underlying feed utilization and implementation of genomic selection for improved feed efficiency in dairy cattle
The economic importance of genetically improving feed efficiency has been recognized by cattle producers worldwide. It has the potential to considerably reduce costs, minimize environmental impact, optimize land and resource use efficiency, and improve the overall cattle industry’s profitability. Fe...
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Veröffentlicht in: | Canadian journal of animal science 2020-12, Vol.100 (4), p.587-604 |
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creator | Brito, Luiz F. Oliveira, Hinayah R. Houlahan, Kerry Fonseca, Pablo A.S. Lam, Stephanie Butty, Adrien M. Seymour, Dave J. Vargas, Giovana Chud, Tatiane C.S. Silva, Fabyano F. Baes, Christine F. Cánovas, Angela Miglior, Filippo Schenkel, Flavio S. |
description | The economic importance of genetically improving feed efficiency has been recognized by cattle producers worldwide. It has the potential to considerably reduce costs, minimize environmental impact, optimize land and resource use efficiency, and improve the overall cattle industry’s profitability. Feed efficiency is a genetically complex trait that can be described as units of product output (e.g., milk yield) per unit of feed input. The main objective of this review paper is to present an overview of the main genetic and physiological mechanisms underlying feed utilization in ruminants and the process towards implementation of genomic selection for feed efficiency in dairy cattle. In summary, feed efficiency can be improved via numerous metabolic pathways and biological mechanisms through genetic selection. Various studies have indicated that feed efficiency is heritable, and genomic selection can be successfully implemented in dairy cattle with a large enough training population. In this context, some organizations have worked collaboratively to do research and develop training populations for successful implementation of joint international genomic evaluations. The integration of “-omics” technologies, further investments in high-throughput phenotyping, and identification of novel indicator traits will also be paramount in maximizing the rates of genetic progress for feed efficiency in dairy cattle worldwide. |
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It has the potential to considerably reduce costs, minimize environmental impact, optimize land and resource use efficiency, and improve the overall cattle industry’s profitability. Feed efficiency is a genetically complex trait that can be described as units of product output (e.g., milk yield) per unit of feed input. The main objective of this review paper is to present an overview of the main genetic and physiological mechanisms underlying feed utilization in ruminants and the process towards implementation of genomic selection for feed efficiency in dairy cattle. In summary, feed efficiency can be improved via numerous metabolic pathways and biological mechanisms through genetic selection. Various studies have indicated that feed efficiency is heritable, and genomic selection can be successfully implemented in dairy cattle with a large enough training population. In this context, some organizations have worked collaboratively to do research and develop training populations for successful implementation of joint international genomic evaluations. The integration of “-omics” technologies, further investments in high-throughput phenotyping, and identification of novel indicator traits will also be paramount in maximizing the rates of genetic progress for feed efficiency in dairy cattle worldwide.</description><identifier>ISSN: 0008-3984</identifier><identifier>EISSN: 1918-1825</identifier><identifier>DOI: 10.1139/cjas-2019-0193</identifier><language>eng</language><publisher>Ottawa: Canadian Science Publishing</publisher><subject>Cattle ; Cattle industry ; consommation résiduelle ; Costs (Law) ; Dairy cattle ; Economic importance ; Economics ; Efficiency ; empreinte écologique ; environmental footprint ; Environmental impact ; Feed efficiency ; Feeds ; Genetic research ; genomic selection ; indice de consommation ; INVITED REVIEW ; Livestock industry ; Maximization ; Metabolic pathways ; microbiome du rumen ; Milk ; Milk production ; Optimization ; Phenotyping ; Populations ; Profitability ; residual feed intake ; Rumen ; rumen microbiome ; sélection génomique ; Training</subject><ispartof>Canadian journal of animal science, 2020-12, Vol.100 (4), p.587-604</ispartof><rights>Copyright remains with the author(s) or their institution(s). This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.</rights><rights>COPYRIGHT 2020 NRC Research Press</rights><rights>2020 Published by NRC Research Press</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b478t-4f57f289eea5c35151263f815b61335feea9eb9958c99d7136b40eadd0322d1a3</citedby><cites>FETCH-LOGICAL-b478t-4f57f289eea5c35151263f815b61335feea9eb9958c99d7136b40eadd0322d1a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Brito, Luiz F.</creatorcontrib><creatorcontrib>Oliveira, Hinayah R.</creatorcontrib><creatorcontrib>Houlahan, Kerry</creatorcontrib><creatorcontrib>Fonseca, Pablo A.S.</creatorcontrib><creatorcontrib>Lam, Stephanie</creatorcontrib><creatorcontrib>Butty, Adrien M.</creatorcontrib><creatorcontrib>Seymour, Dave J.</creatorcontrib><creatorcontrib>Vargas, Giovana</creatorcontrib><creatorcontrib>Chud, Tatiane C.S.</creatorcontrib><creatorcontrib>Silva, Fabyano F.</creatorcontrib><creatorcontrib>Baes, Christine F.</creatorcontrib><creatorcontrib>Cánovas, Angela</creatorcontrib><creatorcontrib>Miglior, Filippo</creatorcontrib><creatorcontrib>Schenkel, Flavio S.</creatorcontrib><title>Genetic mechanisms underlying feed utilization and implementation of genomic selection for improved feed efficiency in dairy cattle</title><title>Canadian journal of animal science</title><description>The economic importance of genetically improving feed efficiency has been recognized by cattle producers worldwide. It has the potential to considerably reduce costs, minimize environmental impact, optimize land and resource use efficiency, and improve the overall cattle industry’s profitability. Feed efficiency is a genetically complex trait that can be described as units of product output (e.g., milk yield) per unit of feed input. The main objective of this review paper is to present an overview of the main genetic and physiological mechanisms underlying feed utilization in ruminants and the process towards implementation of genomic selection for feed efficiency in dairy cattle. In summary, feed efficiency can be improved via numerous metabolic pathways and biological mechanisms through genetic selection. Various studies have indicated that feed efficiency is heritable, and genomic selection can be successfully implemented in dairy cattle with a large enough training population. In this context, some organizations have worked collaboratively to do research and develop training populations for successful implementation of joint international genomic evaluations. The integration of “-omics” technologies, further investments in high-throughput phenotyping, and identification of novel indicator traits will also be paramount in maximizing the rates of genetic progress for feed efficiency in dairy cattle worldwide.</description><subject>Cattle</subject><subject>Cattle industry</subject><subject>consommation résiduelle</subject><subject>Costs (Law)</subject><subject>Dairy cattle</subject><subject>Economic importance</subject><subject>Economics</subject><subject>Efficiency</subject><subject>empreinte écologique</subject><subject>environmental footprint</subject><subject>Environmental impact</subject><subject>Feed efficiency</subject><subject>Feeds</subject><subject>Genetic research</subject><subject>genomic selection</subject><subject>indice de consommation</subject><subject>INVITED REVIEW</subject><subject>Livestock industry</subject><subject>Maximization</subject><subject>Metabolic pathways</subject><subject>microbiome du rumen</subject><subject>Milk</subject><subject>Milk production</subject><subject>Optimization</subject><subject>Phenotyping</subject><subject>Populations</subject><subject>Profitability</subject><subject>residual feed intake</subject><subject>Rumen</subject><subject>rumen microbiome</subject><subject>sélection génomique</subject><subject>Training</subject><issn>0008-3984</issn><issn>1918-1825</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqVks1rFTEUxYMo-KxuXQddCU5NJpOZZFmK1kJR8GMdMsnNM4-Z5DXJiM9t__Fm-rqwIIiEEO7ld869hIPQS0pOKWXyndnp3LSEyqZe9ghtqKSioaLlj9GGECIaJkX3FD3LeVfLoefDBt1cQIDiDZ7B_NDB5znjJVhI08GHLXYAFi_FT_63Lj4GrIPFft5PMEMox1Z0eAshztUkwwTmruliWrkUf1aDOxdwzhsPwRywD9hqnw7Y6FImeI6eOD1leHH_nqDvH95_O__YXH2-uDw_u2rGbhCl6RwfXCskgOaGccpp2zMnKB97yhivQ7SEUUoujJR2oKwfOwLaWsLa1lLNTtDro29d63qBXNQuLinUkartesa57GRXqVdHaqsnUD64WJI2Zu-vVd_TYWBEigqd_gWqx0L9hxjA-do_-1Pw5oGgMgV-la1eclaXX7_8B_vpIXu_iEkx5wRO7ZOfdTooStQaC7XGQq2xUGssquDtUTD6WPf8F34LXUG5Gg</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Brito, Luiz F.</creator><creator>Oliveira, Hinayah R.</creator><creator>Houlahan, Kerry</creator><creator>Fonseca, Pablo A.S.</creator><creator>Lam, Stephanie</creator><creator>Butty, Adrien M.</creator><creator>Seymour, Dave J.</creator><creator>Vargas, Giovana</creator><creator>Chud, Tatiane C.S.</creator><creator>Silva, Fabyano F.</creator><creator>Baes, Christine F.</creator><creator>Cánovas, Angela</creator><creator>Miglior, Filippo</creator><creator>Schenkel, Flavio S.</creator><general>Canadian Science Publishing</general><general>NRC Research Press</general><general>Canadian Science Publishing NRC Research Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISN</scope><scope>ISR</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>SOI</scope></search><sort><creationdate>20201201</creationdate><title>Genetic mechanisms underlying feed utilization and implementation of genomic selection for improved feed efficiency in dairy cattle</title><author>Brito, Luiz F. ; 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It has the potential to considerably reduce costs, minimize environmental impact, optimize land and resource use efficiency, and improve the overall cattle industry’s profitability. Feed efficiency is a genetically complex trait that can be described as units of product output (e.g., milk yield) per unit of feed input. The main objective of this review paper is to present an overview of the main genetic and physiological mechanisms underlying feed utilization in ruminants and the process towards implementation of genomic selection for feed efficiency in dairy cattle. In summary, feed efficiency can be improved via numerous metabolic pathways and biological mechanisms through genetic selection. Various studies have indicated that feed efficiency is heritable, and genomic selection can be successfully implemented in dairy cattle with a large enough training population. In this context, some organizations have worked collaboratively to do research and develop training populations for successful implementation of joint international genomic evaluations. The integration of “-omics” technologies, further investments in high-throughput phenotyping, and identification of novel indicator traits will also be paramount in maximizing the rates of genetic progress for feed efficiency in dairy cattle worldwide.</abstract><cop>Ottawa</cop><pub>Canadian Science Publishing</pub><doi>10.1139/cjas-2019-0193</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Cattle Cattle industry consommation résiduelle Costs (Law) Dairy cattle Economic importance Economics Efficiency empreinte écologique environmental footprint Environmental impact Feed efficiency Feeds Genetic research genomic selection indice de consommation INVITED REVIEW Livestock industry Maximization Metabolic pathways microbiome du rumen Milk Milk production Optimization Phenotyping Populations Profitability residual feed intake Rumen rumen microbiome sélection génomique Training |
title | Genetic mechanisms underlying feed utilization and implementation of genomic selection for improved feed efficiency in dairy cattle |
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