No. 55 (2019): Proceedings of the 2019 Interbull Meeting

Articles

• Feed intake genetic evaluation: progress and an index for saved feed cost

  Gerben de Jong, Yvette de Haas, Roel Veerkamp, Ghyslaine Schopen, Jorien Bouwmeester-Vosman, Rene van der Linde

  1-4

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• Exploiting opportunities in dairy cattle breeding using mid-infrared spectral data associated to novel traits in the Walloon Region of Belgium

  Nicolas Gengler, Hélène Soyeurt, Catherine Bastin, Carlo Bertozzi, Frédéric Colinet, Eric Froidmont, Alain Gillon, Clément Grelet, Hedi Hammami, Julie Leblois, Patrick Mayeres, Emile Piraux, Rodrigo Reis Mota, Sylvie Vanderick, Amélie Vanlierde, Marie-Laure Vanrobays, Didier Veselko, Frédéric Dehareng

  5-10

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• Changes occurring in the breed composition of U.S. dairy herds

  Fiona Louise Guinan, Howard Duane Norman, João Walter Dürr

  11-16

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• The Effect of Synchronized Breeding on Genetic Evaluations of Fertility Traits in Dairy Cattle

  Gerson Oliveira, Larry R. Schaeffer, Flavio Schenkel, Christine Baes

  17-20

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• Genetic Evaluation for Maintenance – Towards Genomic Breeding Values for Saved Feed in Nordic Dairy Cattle

  Martin H. Lidauer, Anna-Maria Leino, Rasmus S. Stephansen, Jukka Pösö, Ulrik S. Nielsen, W. Freddy Fikse, Gert P. Aamand

  21-25

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• Enhancements to U.S. genetic and genomic evaluations in 2018 and 2019

  Ezequiel Luis Nicolazzi, Lillian R. Bacheller, Gary C. Fok, Kristen L. Parker Gaddis, Laura Jensen, Joel H. Megonigal Jr., H.D. Norman, Daniel J. Null, Leigh W. Walton, George R. Wiggans, John B. Cole, Joao W. Durr, Paul M. VanRaden

  26-29

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• Using the ARS-UCD1.2 reference genome in U.S. evaluations

  Daniel Null, Paul M VanRaden, Ben Rosen, Jeff O'Connell, Derek Bickhart

  30-34

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• Genomic prediction of health traits using a mixed reference bull and cow reference population for German Holsteins

  Zengting Liu, Hatem Alkhoder, Christian Kubitz, Katharina Stock, Johannes Heise, Dierck Segelke, Friedrich Reinhardt, Reinhard Reents

  35-45

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• Extending genomic evaluation to crossbred dairy cattle US implementation

  George Wiggans, Paul VanRaden, Ezequiel Nicolazzi

  46-49

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• Comparing the use of dry matter intake and residual feed intake to improve feed efficiency in Holstein cattle

  Kerry Houlahan, Flavio Schenkel, Filippo Miglior, Gerson Oliveira, Allison Fleming, Tatiane Chud, Christine Baes

  50-57

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• CDCB's Genotyping Laboratory Certification Program

  José Carrillo, George Wiggans, Ezequiel Nicolazzi, Kaori Tokuhisa, Duane Norman, João Dürr

  58-63

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• Strategy to stabilize genomic breeding values under an evolving sire and cow reference population in the single-step evaluation system of Walloon region of Belgium

  Rodrigo Mota, Saeid Naderi, Sylvie Vanderick, Frédéric Colinet, Alain Gillon, Patrick Mayeres, Nicolas Gengler

  64-69

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• The application of several genomic models for the analysis of small holder dairy cattle data

  Raphael Mrode, Hassan Aliloo, Chinyere Ekine, Julie Ojango, John Gibson, Mwai Okeyo

  70-76

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• Modifying MACE to accommodate genomic preselection effects

  Peter G Sullivan, Esa Mantysaari, Gerben deJong, Haifa Benhajali

  77-80

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• Consideration of heat stress in multiple lactation test–day models for dairy production traits

  YAMATO ATAGI, Gota Morota, Akio Onogi, Takefumi Osawa, Takanori Yasumori, Kazunori Adachi, Shigeki Yamaguchi, Mitsuo Aihara, Hideyuki Goto, Kenji Togashi, Hiroyoshi Iwata

  81-87

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• Multitrait Across Country Genomic Evaluations for EuroGenomics Countries ─ Daughter information approximation method

  Hanni Kärkkäinen, Vincent Ducrocq, Søren Borchersen, Gert Aamand, Esa Mäntysaari

  88-93

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• Nordic breeding values for beef breed sires used for crossbreeding with dairy dams

  Ruth Bønløkke Davis, W.F. Fikse, Emma Carlén, Jukka Pös¨o, Gert Pedersen Aamand

  94-102

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• Imputation of genetic characteristics using deep learning methods

  Dierck Segelke, Lilian Gehrke, Jan Wabbersen

  103-106

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• SNPMace - A meta-analysis to estimate SNP effects across countries

  Abdulqader Jighly, Haifa Benhajali, Zengting Liu, Michael E Goddard

  107-115

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