Zobrazeno 1 - 4
of 4
pro vyhledávání: '"João R. R. Dórea"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Contemporary approaches for animal identification use deep learning techniques to recognize coat color patterns and identify individual animals in a herd. However, deep learning algorithms usually require a large number of labeled images to
Externí odkaz:
https://doaj.org/article/ce0e0fe807b74cb5939b82e18914a62c
Autor:
Tiago L. Passafaro, Fernando B. Lopes, João R. R. Dórea, Mark Craven, Vivian Breen, Rachel J. Hawken, Guilherme J. M. Rosa
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-13 (2020)
Abstract Background Deep neural networks (DNN) are a particular case of artificial neural networks (ANN) composed by multiple hidden layers, and have recently gained attention in genome-enabled prediction of complex traits. Yet, few studies in genome
Externí odkaz:
https://doaj.org/article/e5edfbd76f5843c2aef216b48b8018f5
Autor:
Tiago Bresolin, João R. R. Dórea
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
High-throughput phenotyping technologies are growing in importance in livestock systems due to their ability to generate real-time, non-invasive, and accurate animal-level information. Collecting such individual-level information can generate novel t
Externí odkaz:
https://doaj.org/article/965f859466da43709c192856d4750f50
Autor:
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
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Dramatic improvements in measuring genetic variation across agriculturally relevant populations (genomics) must be matched by improvements in identifying and measuring relevant trait variation in such populations across many environments (ph
Externí odkaz:
https://doaj.org/article/16775bc608354ceabfd4ba8fddc9415e