| Autor: |
Francisco José Novais, Pedro Ratto Lisboa Pires, Pâmela Almeida Alexandre, Robert A Dromms, Amadeu Hoshi Iglesias, José Bento Sterman Ferraz, Mark Philip-Walter Styczynski, Heidge Fukumasu |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
BMC Genomics, Vol 20, Iss 1, Pp 1-10 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2164 |
| DOI: |
10.1186/s12864-018-5406-2 |
| Popis: |
Abstract Background Ruminants play a great role in sustainable livestock since they transform pastures, silage, and crop residues into high-quality human food (i.e. milk and beef). Animals with better ability to convert food into animal protein, measured as a trait called feed efficiency (FE), also produce less manure and greenhouse gas per kilogram of produced meat. Thus, the identification of high feed efficiency cattle is important for sustainable nutritional management. Our aim was to evaluate the potential of serum metabolites to identify FE of beef cattle before they enter the feedlot. Results A total of 3598 and 4210 m/z features was detected in negative and positive ionization modes via liquid chromatography-mass spectrometry. A single feature was different between high and low FE groups. Network analysis (WGCNA) yielded the detection of 19 and 20 network modules of highly correlated features in negative and positive mode respectively, and 1 module of each acquisition mode was associated with RFI (r = 0.55, P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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