Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Stephen R, Davis"'
Autor:
Thomas J. Lopdell, Alexander J. Trevarton, Janelle Moody, Claire Prowse-Wilkins, Sarah Knowles, Kathryn Tiplady, Amanda J. Chamberlain, Michael E. Goddard, Richard J. Spelman, Klaus Lehnert, Russell G. Snell, Stephen R. Davis, Mathew D. Littlejohn
Publikováno v:
Genetics Selection Evolution, Vol 56, Iss 1, Pp 1-18 (2024)
Abstract Background Bovine lactoferrin (Lf) is an iron absorbing whey protein with antibacterial, antiviral, and antifungal activity. Lactoferrin is economically valuable and has an extremely variable concentration in milk, partly driven by environme
Externí odkaz:
https://doaj.org/article/8080a82b88cf4f85b058bde3a2e3767d
Autor:
Kathryn M. Tiplady, Thomas J. Lopdell, Richard G. Sherlock, Thomas J.J. Johnson, Richard J. Spelman, Bevin L. Harris, Stephen R. Davis, Mathew D. Littlejohn, Dorian J. Garrick
Publikováno v:
Journal of Dairy Science, Vol 105, Iss 12, Pp 9763-9791 (2022)
ABSTRACT: Fourier-transform mid-infrared (FT-MIR) spectroscopy is a high-throughput and inexpensive methodology used to evaluate concentrations of fat and protein in dairy cattle milk samples. The objective of this study was to compare the genetic ch
Externí odkaz:
https://doaj.org/article/87ad00ec3d594691b9978de5dc621ff2
Autor:
Stephen R. Davis, Hamish E. Ward, Van Kelly, David Palmer, Alexandra E. Ankersmit-Udy, Thomas J. Lopdell, Sarah D. Berry, Mathew D. Littlejohn, Kathryn Tiplady, Linda F. Adams, Katie Carnie, Alayna Burrett, Natalie Thomas, Russell G. Snell, Richard J. Spelman, Klaus Lehnert
Publikováno v:
Genetics Selection Evolution, Vol 54, Iss 1, Pp 1-11 (2022)
Abstract Background Milk samples from 10,641 dairy cattle were screened by a mass spectrometry method for extreme concentrations of the A or B isoforms of the whey protein, β-lactoglobulin (BLG), to identify causative genetic variation driving chang
Externí odkaz:
https://doaj.org/article/460d3305b076430b8ce7ce75746098c0
Autor:
Edwardo G. M. Reynolds, Thomas Lopdell, Yu Wang, Kathryn M. Tiplady, Chad S. Harland, Thomas J. J. Johnson, Catherine Neeley, Katie Carnie, Richard G. Sherlock, Christine Couldrey, Stephen R. Davis, Bevin L. Harris, Richard J. Spelman, Dorian J. Garrick, Mathew D. Littlejohn
Publikováno v:
Genetics Selection Evolution, Vol 54, Iss 1, Pp 1-16 (2022)
Abstract Background Deleterious recessive conditions have been primarily studied in the context of Mendelian diseases. Recently, several deleterious recessive mutations with large effects were discovered via non-additive genome-wide association studi
Externí odkaz:
https://doaj.org/article/c6d74fe902814b03a9b570eab1034eda
Autor:
Kathryn M. Tiplady, Thomas J. Lopdell, Edwardo Reynolds, Richard G. Sherlock, Michael Keehan, Thomas JJ. Johnson, Jennie E. Pryce, Stephen R. Davis, Richard J. Spelman, Bevin L. Harris, Dorian J. Garrick, Mathew D. Littlejohn
Publikováno v:
Genetics Selection Evolution, Vol 53, Iss 1, Pp 1-24 (2021)
Abstract Background Fourier-transform mid-infrared (FT-MIR) spectroscopy provides a high-throughput and inexpensive method for predicting milk composition and other novel traits from milk samples. While there have been many genome-wide association st
Externí odkaz:
https://doaj.org/article/3741a0b431e24b8783c25e8d5cfc1f73
Autor:
Tania Fink, Thomas J. Lopdell, Kathryn Tiplady, Renee Handley, Thomas J. J. Johnson, Richard J. Spelman, Stephen R. Davis, Russell G. Snell, Mathew D. Littlejohn
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-13 (2020)
Abstract Background The DGAT1 gene encodes an enzyme responsible for catalysing the terminal reaction in mammary triglyceride synthesis, and underpins a well-known pleiotropic quantitative trait locus (QTL) with a large influence on milk composition
Externí odkaz:
https://doaj.org/article/c12b3a625ee1495d8ea1c2bf4fc75c90
Autor:
Swati Jivanji, Gemma Worth, Thomas J. Lopdell, Anna Yeates, Christine Couldrey, Edwardo Reynolds, Kathryn Tiplady, Lorna McNaughton, Thomas J. J. Johnson, Stephen R. Davis, Bevin Harris, Richard Spelman, Russell G. Snell, Dorian Garrick, Mathew D. Littlejohn
Publikováno v:
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-18 (2019)
Abstract Background White spotting of the coat is a characteristic trait of various domestic species including cattle and other mammals. It is a hallmark of Holstein–Friesian cattle, and several previous studies have detected genetic loci with majo
Externí odkaz:
https://doaj.org/article/4182bd4389d749efa8e40b3f86fe123a
Autor:
Thomas J. Lopdell, Kathryn Tiplady, Christine Couldrey, Thomas J. J. Johnson, Michael Keehan, Stephen R. Davis, Bevin L. Harris, Richard J. Spelman, Russell G. Snell, Mathew D. Littlejohn
Publikováno v:
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-16 (2019)
Abstract Background Over many years, artificial selection has substantially improved milk production by cows. However, the genes that underlie milk production quantitative trait loci (QTL) remain relatively poorly characterised. Here, we investigate
Externí odkaz:
https://doaj.org/article/9e66835c202f45f5869a32d75de44650
Autor:
Thomas J. Lopdell, Kathryn Tiplady, Maksim Struchalin, Thomas J. J. Johnson, Michael Keehan, Ric Sherlock, Christine Couldrey, Stephen R. Davis, Russell G. Snell, Richard J. Spelman, Mathew D. Littlejohn
Publikováno v:
BMC Genomics, Vol 18, Iss 1, Pp 1-18 (2017)
Abstract Background Lactose provides an easily-digested energy source for neonates, and is the primary carbohydrate in milk in most species. Bovine lactose is also a key component of many human food products. However, compared to analyses of other mi
Externí odkaz:
https://doaj.org/article/75617e1ab9624235b3aa763ae9625896
Publikováno v:
Animal Production Science. 61:1403-1411
Context In New Zealand, cows are usually milked twice a day (TAD), but in ~8% of herds, cows are milked once a day (OAD) for the entire lactation. If a genetic correlation (rg) of the same trait expressed in two environments (such as TAD and OAD) is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50de26a2cc1af93f7ca9eea43c9f213f
https://doi.org/10.1071/an20194
https://doi.org/10.1071/an20194