Infrared Spectrometry as a High-Throughput Phenotyping Technology to Predict Complex Traits in Livestock Systems by Tiago Bresolin, João R. R. Dórea

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Using pseudo-labeling to improve performance of deep neural networks for animal identification by Rafael E. P. Ferreira, Yong Jae Lee, João R. R. Dórea

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Near-infrared spectroscopy analysis of blood plasma for predicting nonesterified fatty acid concentrations in dairy cows by Guilherme L. Menezes, Tiago Bresolin, Rafael Ferreira, Henry T. Holdorf, Sebastian I. Arriola Apelo, Heather M. White, JoaoR.R. Dórea

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Would large dataset sample size unveil the potential of deep neural networks for improved genome-enabled prediction of complex traits? The case for body weight in broilers by Tiago L. Passafaro, Fernando B. Lopes, João R. R. Dórea, Mark Craven, Vivian Breen, Rachel J. Hawken, Guilherme J. M. Rosa

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Current challenges and future of agricultural genomes to phenomes in the USA by Christopher K. Tuggle, Jennifer L. Clarke, Brenda M. Murdoch, Eric Lyons, Nicole M. Scott, Bedrich Beneš, Jacqueline D. Campbell, Henri Chung, Courtney L. Daigle, Sruti Das Choudhury, Jack C. M. Dekkers, Joao R. R. Dórea, David S. Ertl, Max Feldman, Breno O. Fragomeni, Janet E. Fulton, Carmela R. Guadagno, Darren E. Hagen, Andrew S. Hess, Luke M. Kramer, Carolyn J. Lawrence-Dill, Alexander E. Lipka, Thomas Lübberstedt, Fiona M. McCarthy, Stephanie D. McKay, Seth C. Murray, Penny K. Riggs, Troy N. Rowan, Moira J. Sheehan, Juan P. Steibel, Addie M. Thompson, Kara J. Thornton, Curtis P. Van Tassell, Patrick S. Schnable

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