Matches in SemOpenAlex for { <https://semopenalex.org/work/W4327560049> ?p ?o ?g. }
- W4327560049 endingPage "100780" @default.
- W4327560049 startingPage "100780" @default.
- W4327560049 abstract "Interest on methane emissions from livestock has increased in later years as it is an anthropogenic greenhouse gas with an important warming potential. The rumen microbiota has a large influence on the production of enteric methane. Animals harbour a second genome consisting of microbes, collectively referred to as the microbiome. The rumen microbial community plays an important role in feed digestion, feed efficiency, methane emission and health status. This review recaps the current knowledge on the genetic control that the cow exerts on the rumen microbiota composition. Heritability estimates for the rumen microbiota composition range between 0.05 and 0.40 in the literature, depending on the taxonomical group or microbial gene function. Variables depicting microbial diversity or aggregating microbial information are also heritable within the same range. This study includes a genome-wide association analysis on the microbiota composition, considering the relative abundance of some microbial taxa previously associated to enteric methane in dairy cattle (Archaea, Dialister, Entodinium, Eukaryota, Lentisphaerae, Methanobrevibacter, Neocallimastix, Prevotella and Stentor). Host genomic regions associated with the relative abundance of these microbial taxa were identified after Benjamini-Hoschberg correction (Padj < 0.05). An in-silico functional analysis using FUMA and DAVID online tools revealed that these gene sets were enriched in tissues like brain cortex, brain amigdala, pituitary, salivary glands and other parts of the digestive system, and are related to appetite, satiety and digestion. These results allow us to have greater knowledge about the composition and function of the rumen microbiome in cattle. The state-of-the art strategies to include methane traits in the selection indices in dairy cattle populations is reviewed. Several strategies to include methane traits in the selection indices have been studied worldwide, using bioeconomical models or economic functions under theoretical frameworks. However, their incorporation in the breeding programmes is still scarce. Some potential strategies to include methane traits in the selection indices of dairy cattle population are presented. Future selection indices will need to increase the weight of traits related to methane emissions and sustainability. This review will serve as a compendium of the current state of the art in genetic strategies to reduce methane emissions in dairy cattle." @default.
- W4327560049 created "2023-03-17" @default.
- W4327560049 creator A5009310351 @default.
- W4327560049 creator A5021169316 @default.
- W4327560049 creator A5030694186 @default.
- W4327560049 creator A5034671845 @default.
- W4327560049 creator A5034949197 @default.
- W4327560049 creator A5042079092 @default.
- W4327560049 creator A5045996901 @default.
- W4327560049 creator A5071596715 @default.
- W4327560049 creator A5077340028 @default.
- W4327560049 creator A5085764474 @default.
- W4327560049 date "2023-06-01" @default.
- W4327560049 modified "2023-10-17" @default.
- W4327560049 title "Review: Diving into the cow hologenome to reduce methane emissions and increase sustainability" @default.
- W4327560049 cites W1983040709 @default.
- W4327560049 cites W1997647138 @default.
- W4327560049 cites W1999717714 @default.
- W4327560049 cites W2026935866 @default.
- W4327560049 cites W2045949302 @default.
- W4327560049 cites W2060485250 @default.
- W4327560049 cites W2067715889 @default.
- W4327560049 cites W2080235308 @default.
- W4327560049 cites W2083170339 @default.
- W4327560049 cites W2087895295 @default.
- W4327560049 cites W2092696502 @default.
- W4327560049 cites W2110065044 @default.
- W4327560049 cites W2130410032 @default.
- W4327560049 cites W2158217645 @default.
- W4327560049 cites W2162835401 @default.
- W4327560049 cites W2275915069 @default.
- W4327560049 cites W2511106168 @default.
- W4327560049 cites W2749417525 @default.
- W4327560049 cites W2770092353 @default.
- W4327560049 cites W2780201198 @default.
- W4327560049 cites W2795939501 @default.
- W4327560049 cites W2888673753 @default.
- W4327560049 cites W2894166334 @default.
- W4327560049 cites W2898031575 @default.
- W4327560049 cites W2902196707 @default.
- W4327560049 cites W2929337160 @default.
- W4327560049 cites W2951220983 @default.
- W4327560049 cites W2953135971 @default.
- W4327560049 cites W2953159153 @default.
- W4327560049 cites W2955957648 @default.
- W4327560049 cites W2981075829 @default.
- W4327560049 cites W2999774945 @default.
- W4327560049 cites W3022660914 @default.
- W4327560049 cites W3026313426 @default.
- W4327560049 cites W3029430233 @default.
- W4327560049 cites W3031286528 @default.
- W4327560049 cites W3049342574 @default.
- W4327560049 cites W3087315339 @default.
- W4327560049 cites W3135288870 @default.
- W4327560049 cites W3158810389 @default.
- W4327560049 cites W3160905321 @default.
- W4327560049 cites W3161821996 @default.
- W4327560049 cites W3196158471 @default.
- W4327560049 cites W4200135473 @default.
- W4327560049 cites W4210405648 @default.
- W4327560049 cites W4212914242 @default.
- W4327560049 cites W4214515164 @default.
- W4327560049 cites W4220831425 @default.
- W4327560049 cites W4286432835 @default.
- W4327560049 doi "https://doi.org/10.1016/j.animal.2023.100780" @default.
- W4327560049 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37032282" @default.
- W4327560049 hasPublicationYear "2023" @default.
- W4327560049 type Work @default.
- W4327560049 citedByCount "3" @default.
- W4327560049 countsByYear W43275600492023 @default.
- W4327560049 crossrefType "journal-article" @default.
- W4327560049 hasAuthorship W4327560049A5009310351 @default.
- W4327560049 hasAuthorship W4327560049A5021169316 @default.
- W4327560049 hasAuthorship W4327560049A5030694186 @default.
- W4327560049 hasAuthorship W4327560049A5034671845 @default.
- W4327560049 hasAuthorship W4327560049A5034949197 @default.
- W4327560049 hasAuthorship W4327560049A5042079092 @default.
- W4327560049 hasAuthorship W4327560049A5045996901 @default.
- W4327560049 hasAuthorship W4327560049A5071596715 @default.
- W4327560049 hasAuthorship W4327560049A5077340028 @default.
- W4327560049 hasAuthorship W4327560049A5085764474 @default.
- W4327560049 hasBestOaLocation W43275600491 @default.
- W4327560049 hasConcept C100544194 @default.
- W4327560049 hasConcept C104317684 @default.
- W4327560049 hasConcept C143121216 @default.
- W4327560049 hasConcept C150903083 @default.
- W4327560049 hasConcept C15151743 @default.
- W4327560049 hasConcept C18903297 @default.
- W4327560049 hasConcept C2776979534 @default.
- W4327560049 hasConcept C2780423288 @default.
- W4327560049 hasConcept C31903555 @default.
- W4327560049 hasConcept C523546767 @default.
- W4327560049 hasConcept C54355233 @default.
- W4327560049 hasConcept C550995028 @default.
- W4327560049 hasConcept C69562835 @default.
- W4327560049 hasConcept C70262065 @default.
- W4327560049 hasConcept C81407943 @default.
- W4327560049 hasConcept C86803240 @default.