Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Phil J Bowman"'
Autor:
Oscar Gonzalez-Recio, Hans D Daetwyler, Iona M MacLeod, Jennie E Pryce, Phil J Bowman, Ben J Hayes, Michael E Goddard
Publikováno v:
PLoS ONE, Vol 10, Iss 12, p e0143945 (2015)
The proportion of genetic variation in complex traits explained by rare variants is a key question for genomic prediction, and for identifying the basis of "missing heritability"--the proportion of additive genetic variation not captured by common va
Externí odkaz:
https://doaj.org/article/a8483c3228154c3abfa24894305e03ba
Publikováno v:
PLoS Genetics, Vol 6, Iss 9, p e1001139 (2010)
Prediction of genetic merit using dense SNP genotypes can be used for estimation of breeding values for selection of livestock, crops, and forage species; for prediction of disease risk; and for forensics. The accuracy of these genomic predictions de
Externí odkaz:
https://doaj.org/article/6a6f83de71304986976fedfd729b7b82
Autor:
Ben J Hayes, Phil J Bowman, Amanda J Chamberlain, Keith Savin, Curt P van Tassell, Tad S Sonstegard, Mike E Goddard
Publikováno v:
PLoS ONE, Vol 4, Iss 8, p e6676 (2009)
Continued production of food in areas predicted to be most affected by climate change, such as dairy farming regions of Australia, will be a major challenge in coming decades. Along with rising temperatures and water shortages, scarcity of inputs suc
Externí odkaz:
https://doaj.org/article/b2276dfcc0fc420ba4e3281e10b6aaa1
Publikováno v:
BMC Genomics
Background Bayesian mixture models in which the effects of SNP are assumed to come from normal distributions with different variances are attractive for simultaneous genomic prediction and QTL mapping. These models are usually implemented with Monte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fe958e2025e78cea26960e1405ac647
Autor:
Michael E. Goddard, Yizhou Chen, Phil J. Bowman, Josie B. Garner, Sunduimijid Bolormaa, Iona M. MacLeod, Hans D. Daetwyler, Ben J. Hayes, Brett A. Mason, Ruidong Xiang, Christy J. Vander Jagt, Zehu Yuan, Amanda J. Chamberlain, Leah C. Marett, Claire P. Prowse-Wilkins, Majid Khansefid, Coralie M. Reich
Publikováno v:
BMC Genomics
BMC Genomics, Vol 19, Iss 1, Pp 1-18 (2018)
BMC Genomics, Vol 19, Iss 1, Pp 1-18 (2018)
BackgroundMammalian phenotypes are shaped by numerous genome variants, many of which may regulate gene transcription or RNA splicing. To identify variants with regulatory functions in cattle, an important economic and model species, we used sequence
Publikováno v:
Journal of Dairy Science 101 (2018) 5
Journal of Dairy Science, 101(5), 4279-4294
Journal of Dairy Science, 101(5), 4279-4294
Genomic prediction is applicable to individuals of different breeds. Empirical results to date, however, show limited benefits in using information on multiple breeds in the context of genomic prediction. We investigated a multitask Bayesian model, p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d153970360ca29f7fbd0b988eb705bb5
https://research.wur.nl/en/publications/multibreed-genomic-prediction-using-multitrait-genomic-residual-m
https://research.wur.nl/en/publications/multibreed-genomic-prediction-using-multitrait-genomic-residual-m
Autor:
Phil J. Bowman, Johanna Vilkki, Mehdi Sargolzaei, Robert D. Schnabel, Didier Boichard, Frank Panitz, Chris Hozé, Kay Uwe Götz, D. C. Purfield, Christian Bendixen, Lars-Erik Holm, Carla Hurtado Ponce, Ben J. Hayes, Alessandro Bagnato, J. J. Crowley, Cord Drögemüller, Jeremy F. Taylor, Aniek C. Bouwman, Aurélien Capitan, Jesse L. Hoff, Marie Pierre Sanchez, Thierry Tribout, Hubert Pausch, Dorian J. Garrick, Michael E. Goddard, Mekki Boussaha, Min Wang, Anna A. E. Vinkhuyzen, Ruedi Fries, Hans D. Daetwyler, Roel F. Veerkamp, Curtis P. Van Tassell, Ingolf Russ, Amanda J. Chamberlain, Reiner Emmerling, R.F. Brøndum, Mirjam Frischknecht, Vidhya Jagannathan, Marlies Dolezal, Paul Stothard, Bo Thomsen, Bertrand Servin, Simon Boitard, Donagh P. Berry, James M. Reecy, Dominique Rocha, Anna Bieber, Birgit Gredler, Johann Sölkner, Mogens Sandø Lund, Christy J. Vander Jagt, Pascal Croiseau, Goutam Sahana, Anne Barbat, Armelle Govignon-Gion, Flavio S Schenkel, Bernt Guldbrandtsen
Publikováno v:
Nature Genetics 50 (2018)
Nature Genetics
Nature Genetics, Nature Publishing Group, 2018, 50 (3), pp.362-367. ⟨10.1038/s41588-018-0056-5⟩
Bouwman, A C, Daetwyler, H D, Chamberlain, A J, Ponce, C H, Sargolzaei, M, Schenkel, F S, Sahana, G, Govignon-Gion, A, Boitard, S, Dolezal, M, Pausch, H, Brøndum, R F, Bowman, P J, Thomsen, B, Guldbrandtsen, B, Lund, M S, Servin, B, Garrick, D J, Reecy, J, Vilkki, J, Bagnato, A, Wang, M, Hoff, J L, Schnabel, R D, Taylor, J F, Vinkhuyzen, A A E, Panitz, F, Bendixen, C, Holm, L E, Gredler, B, Hozé, C, Boussaha, M, Sanchez, M P, Rocha, D, Capitan, A, Tribout, T, Barbat, A, Croiseau, P, Drögemüller, C, Jagannathan, V, Vander Jagt, C, Crowley, J J, Bieber, A, Purfield, D C, Berry, D P, Emmerling, R, Götz, K U, Frischknecht, M, Russ, I, Sölkner, J, van Tassell, C P, Fries, R, Stothard, P, Veerkamp, R F, Boichard, D, Goddard, M E & Hayes, B J 2018, ' Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals ', Nature Genetics, vol. 50, pp. 362-372 . https://doi.org/10.1038/s41588-018-0056-5
Nature Genetics, 50, 362-367
Nature Genetics
Nature Genetics, Nature Publishing Group, 2018, 50 (3), pp.362-367. ⟨10.1038/s41588-018-0056-5⟩
Bouwman, A C, Daetwyler, H D, Chamberlain, A J, Ponce, C H, Sargolzaei, M, Schenkel, F S, Sahana, G, Govignon-Gion, A, Boitard, S, Dolezal, M, Pausch, H, Brøndum, R F, Bowman, P J, Thomsen, B, Guldbrandtsen, B, Lund, M S, Servin, B, Garrick, D J, Reecy, J, Vilkki, J, Bagnato, A, Wang, M, Hoff, J L, Schnabel, R D, Taylor, J F, Vinkhuyzen, A A E, Panitz, F, Bendixen, C, Holm, L E, Gredler, B, Hozé, C, Boussaha, M, Sanchez, M P, Rocha, D, Capitan, A, Tribout, T, Barbat, A, Croiseau, P, Drögemüller, C, Jagannathan, V, Vander Jagt, C, Crowley, J J, Bieber, A, Purfield, D C, Berry, D P, Emmerling, R, Götz, K U, Frischknecht, M, Russ, I, Sölkner, J, van Tassell, C P, Fries, R, Stothard, P, Veerkamp, R F, Boichard, D, Goddard, M E & Hayes, B J 2018, ' Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals ', Nature Genetics, vol. 50, pp. 362-372 . https://doi.org/10.1038/s41588-018-0056-5
Nature Genetics, 50, 362-367
peer-reviewed H.D.D., A.J.C., P.J.B. and B.J.H. would like to acknowledge the Dairy Futures Cooperative Research Centre for funding. H.P. and R.F. acknowledge funding from the German Federal Ministry of Education and Research (BMBF) within the AgroCl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ceea2c23b14bcc3f6ef51fff0f20f9e7
https://orgprints.org/id/eprint/35102/
https://orgprints.org/id/eprint/35102/
Autor:
Hubert Pausch, Phil J. Bowman, Reiner Emmerling, Ruedi Fries, Iona M. MacLeod, Michael E. Goddard, Hans D. Daetwyler
Publikováno v:
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2017, 49 (1), pp.24. ⟨10.1186/s12711-017-0301-x⟩
Genetics Selection Evolution, 49
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution, BioMed Central, 2017, 49 (1), pp.24. ⟨10.1186/s12711-017-0301-x⟩
Genetics Selection Evolution, 49
Genetics, Selection, Evolution : GSE
Background The availability of dense genotypes and whole-genome sequence variants from various sources offers the opportunity to compile large datasets consisting of tens of thousands of individuals with genotypes at millions of polymorphic sites tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a92a77f7dd2e93553bd4d605c5a9b30
https://hal.archives-ouvertes.fr/hal-01479153/file/12711_2017_Article_301.pdf
https://hal.archives-ouvertes.fr/hal-01479153/file/12711_2017_Article_301.pdf
Autor:
Ben J. Hayes, Phil J. Bowman, Sunduimijid Bolormaa, Iona M. MacLeod, Irene van den Berg, Tingting Wang, Michael E. Goddard
Publikováno v:
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2017, 49 (1), pp.70. ⟨10.1186/s12711-017-0347-9⟩
Genetics Selection Evolution, Vol 49, Iss 1, Pp 1-15 (2017)
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution, BioMed Central, 2017, 49 (1), pp.70. ⟨10.1186/s12711-017-0347-9⟩
Genetics Selection Evolution, Vol 49, Iss 1, Pp 1-15 (2017)
Genetics, Selection, Evolution : GSE
Background The increasing availability of whole-genome sequence data is expected to increase the accuracy of genomic prediction. However, results from simulation studies and analysis of real data do not always show an increase in accuracy from sequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cfcc3172f52c1abb267dc4d26099d8c
https://hal.archives-ouvertes.fr/hal-01591723/file/12711_2017_Article_347.pdf
https://hal.archives-ouvertes.fr/hal-01591723/file/12711_2017_Article_347.pdf
Autor:
Benjamin J. Hayes, Phil J. Bowman, Thuy T. T. Nguyen, Mekonnen Haile-Mariam, Jennie E. Pryce, Gert J. Nieuwhof
Publikováno v:
Journal of dairy science. 100(9)
Excessive ambient temperature and humidity can impair milk production and fertility of dairy cows. Selection for heat-tolerant animals is one possible option to mitigate the effects of heat stress. To enable selection for this trait, we describe the