Interbull Bulletin

Articles

• Genetic parameters for daily milk weights in U.S. Holsteins using pen-based contemporary groups

  Fiona Louise Guinan, Robert Fourdraine, Francisco Peñagaricano, Kent Weigel

  1-7

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• Heritable variation in gene expression is the key to maximizing genetic gain and preserving genetic diversity with a properly designed breeding program.

  Tom Lawlor

  8-13

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• Revision of random regression test-day model has improved genomic prediction for Nordic Red dairy cattle

  T.J. Pitkänen, M.H. Lidauer, J.Pösö, W.F.Fikse, U.S. Nielsen, G.P. Aamand, M. Koivula

  14-18

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• Genetic trend in milk fat percent is highly responsive to the relative economic value of milk fat and milk protein in the New Zealand dairy sector

  Melissa Stephen, Rhiannon Handcock, Peter Amer

  19-22

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• Next-Level Genomic Selection: Mitigating Inbreeding

  Johannes B.C.H.M. van Kaam, Christos Dadousis, Francesco Tiezzi, Martino Cassandro

  23-28

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• Breeding programs compared across countries, continents, and breeds

  Paul M VanRaden, Taylor M. McWhorter, Jose A. Carrillo, Rodrigo R. Mota

  29-33

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• Analysis of Factors Affecting Daily Milk Yields: An Initial Case Study in an Automatic Thrice-Milking Farm

  Nick Wu, Malia Caputo, George Wiggans, Duane Norman, Asha Miles, Curtis Van Tassell, Ransom Baldwin, Steven Sievert, Jay Mattison, Javier Burchard, Joao Durr

  34-41

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• Genetic evaluation of differential somatic cell count in Italian Holstein cattle

  Ferdinando Galluzzo, Giulio Visentin, Johannes B. C. H. M. van Kaam, Raffaella Finocchiaro, Maurizio Marusi, Martino Cassandro

  42-46

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• Breeding for feed efficiency in German Holsteins: the new RZFeedEfficiency

  Emhimad Abdalla, Leen Polman, Stefan Rensing, Zengting Liu, Hatem Alkhoder, Reinhard Reents, Johannes Heise

  47-53

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• Alternative Residual Feed Intake (RFI) expressions in dairy cattle

  Janusz Jamrozik, Peter Sullivan

  54-61

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• Simulating genetic progress for traits with expensive phenotyping

  Janez Jenko, Alireza Ehsani, Gregor Gorjanc

  62-66

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• Genomic Prediction of Genetic Residual Feed Intake Integrating a Novel Energy Sink for Change in Body Reserves.

  Rasmus Stephansen, Jan Lassen, Vivi Thorup, Bjarke Poulsen, Just Jensen, Goutam Sahana, Ole Christensen

  67-73

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• Estimation of variance components for clinical mastitis and somatic cell scores for the Nordic dairy cattle populations

  Napoleon Vargas Jurado, Gert Pedersen Aamand, Ulrik Sander Nielsen, Freddy Fikse, Jukka Pösö, Andrei Kudinov, Martin Lidauer

  74-77

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• Genetic Correlations Between Daily Dry Matter Intake, Body Weight, and Enteric Methane in Norwegian Red

  Karoline Bakke, Bjørg Heringstad

  78-85

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• Next steps towards the development of a collaborative genomic evaluation system for residual methane production in Walloon Holstein cows

  Hadi Atashi, Yansen Chen, Amélie Vanlierde, Frédéric Dehareng, Hélène Soyeurt, Nicolas Gengler

  86-91

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• Single-step genomic prediction models for metabolic body weight in Nordic Holstein, Red dairy cattle, and Jersey

  R. Kempe, M. Koivula, T.J. Pitkänen, R.B. Stephansen, J. Pösö, U.S. Nielsen, W.F. Fikse, G.P. Aamand, M.H. Lidauer

  92-96

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• Effect of heat stress on methane emissions of Dutch Holstein cows

  Coralia Manzanilla, Jeremie Vandenplas, Anouk van Breukelen, Roel Veerkamp, Birgit Gredler-Grandl

  97-102

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• Breeding for resilience in the Netherlands and Flanders

  Niek Meijer, Jorien Bouwmeester-Vosman, Mathijs van Pelt, Gerben de Jong

  103-107

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• Cross-Validation Assessment of Random Regression Specifications in a Single-Step Genomic Model for Dry Matter Intake

  Matias Schrauf, Roel Veerkamp, Renzo Bonifazi, Christopher Orrett, Gerben de Jong, Birgit Gredler-Grandl

  108-114

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• Using cow carcass weight to select efficient cows in UK

  Getinet Tarekegn, Harriet Bunning, Marco Winters, Raphael Mrode, Mike Coffey

  115-120

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• A weekly genomic evaluation of newly genotyped selection candidates based on a single-step genomic model

  Hatem Alkhoder, Zengting Liu, Reinhard Reents

  121-126

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• Multi-breed multi-trait single-step genomic predictions for Holstein and Jersey including crossbred animals

  Renzo Bonifazi, Stella Aivazidou, Jan ten Napel, Matias Schrauf, Gerben de Jong, Lisette Wiesenekker, Jeremie Vandenplas

  127-137

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• Improving single-step genomic prediction reliabilities for clinical mastitis in Nordic Red dairy cattle and Jersey by applying marker-specific weights

  Arash Chegini, Ismo Strandén, Emre Karaman, Terhi Iso-Tuoru, Jukka Pösö, Gert P. Aamand, Martin H. Lidauer

  138-142

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• Technical options for all-breed Single-step GBLUP for US dairy cattle

  Andres Legarra, Matias Bermann, Paul M VanRaden, Ezequiel Luis Nicolazzi, Rodrigo R Mota, Joe Menwer Tabet, Daniela L Lourenco, Ignacy Misztal

  143-147

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• Guidelines for Approximating Genomic Reliabilities of the Single-Step Genomic Model

  Zengting Liu, Ismo Stranden, Jeremie Vandenplas, Herwin Eding, Martin Lidauer, Katrine Haugaard, Paul M. VanRaden

  148-160

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• Genomic-free EBVs computed from Single-Step evaluations as proofs for MACE in France

  Roberta Rostellato, Emeric Dugas, Sophie Mattalia, Thierry Tribout, Didier Boichard, Iola Croue

  161-166

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• Differential handling of missing parents in genetic evaluation of dairy cattle using single-step test-day SNP-BLUP model

  Dawid Słomian, Joanna Szyda, Jan ten Napel, Jeremie Vandenplas, Kacper Żukowski, Monika Skarwecka

  167-171

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• Single-step evaluation for milking cow survival in Poland

  Katarzyna Stachowicz, Simone Savoia, Luna Zhang, Marcin Pszczola, Kacper Zukowski, Monika Skarwecka, Sebastian Mucha

  172-178

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• Genetic correlations: a parameter or a latent phenotype in genetic evaluations?

  Beatriz Cuyabano, Pascal Croiseau, Fatima Shokor, Sophie Aguerre, Sophie Mattalia, Mariana Motta

  179-186

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• Incorporation of external GEBV in the Dutch-Flemish dairy genetic evaluation

  Herwin Eding

  187-190

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• Modeling unknown parent groups or metafounders in single step genomic BLUP – results of a simulation study

  Judith Himmelbauer, Hermann Schwarzenbacher, Christian Fuerst, Birgit Fuerst-Waltl

  191-199

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• Genomic validation software: USA update including truncated MACE

  Rodrigo Mota, Peter Sullivan, Ezequiel Nicolazzi, Taylor McWhorter, Andres Legarra, Paul Vanraden

  200-206

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• The PREP database: Extension to Genomic Form

  Anahit Nazari

  207-211

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• Designing a validation application for genetic and genomic evaluation systems in the New Zealand dairy industry

  Ee Cheng Ooi, Matt Price, Katarzyna Stachowicz, Peter Amer, Rhiannon Handcock, Melissa Stephen

  212-217

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• Integration of estimates of SNP effects into a single-step genomic evaluation

  Jeremie Vandenplas, Renzo Bonifazi

  218-227

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