Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Vivian Breen"'
Autor:
Anderson A.C. Alves, Arthur F.A. Fernandes, Fernando Brito Lopes, Vivian Breen, Rachel Hawken, Guilherme J.M. Rosa
Publikováno v:
Poultry Science, Vol 103, Iss 7, Pp 103737- (2024)
ABSTRACT: This study aimed to estimate genetic parameters for feeding behavior (FB) traits and to assess their genetic relationship with performance traits in group-housed broilers. In total, 99,472,151 visits were recorded for 95,711 birds between 2
Externí odkaz:
https://doaj.org/article/21c39d50ccbe44ac9b6de7ff585fdec4
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:
Anderson A Carvalho Alves, Arthur F A Fernandes, Fernando B Lopes, Vivian Breen, Rachel Hawken, Guilherme J J M Rosa
Publikováno v:
Journal of Animal Science. 100:9-10
This study aimed to assess the genetic relationship among feeding behavior (FB), feed efficiency (FE), and production traits in broilers. A total of 44,234,350 feeders visit logs from 55,400 birds allocated into 88 trials were recorded by radio-frequ
Autor:
Matias Bermann, Daniela Lourenco, Vivian Breen, Rachel Hawken, Fernando Brito Lopes, Ignacy Misztal
Publikováno v:
J Anim Sci
The objectives of this study were to model the inclusion of a group of external birds into a local broiler chicken population for the purpose of genomic evaluations and evaluating the behavior of two accuracy estimators under different model specific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc606ba7c00202eb42be4c372c4999f2
https://europepmc.org/articles/PMC8499182/
https://europepmc.org/articles/PMC8499182/
Autor:
Anderson A Carvalho Alves, Arthur F A Fernandes, Fernando B Lopes, Vivian Breen, Rachel Hawken, Guilherme J J M Rosa
Publikováno v:
Journal of Animal Science. 100:2-2
In this study, we investigated the performance of different machine learning (ML) methods for predicting withdrawing events (culled or dead animals) according to feeding behaviors (FB) time series. The raw data comprised a total of 1,492,482 daily ob
Autor:
Daniela Lourenco, Ignacy Misztal, Vivian Breen, Shogo Tsuruta, Rachel Hawken, Yutaka Masuda, Jorge Hidalgo, Matias Bermann
Publikováno v:
Journal of Animal Science
Accuracy of genomic predictions is an important component of the selection response. The objectives of this research were: 1) to investigate trends for prediction accuracies over time in a broiler population of accumulated phenotypes, genotypes, and
Autor:
Rachel Hawken, Ignacy Misztal, Daniela Lourenco, Matias Bermann, Vivian Breen, Fernando B. Lopes
Publikováno v:
Journal of Animal Science
The introduction of animals from a different environment or population is a common practice in commercial livestock populations. In this study, we modeled the inclusion of a group of external birds into a local broiler chicken population for the purp
Autor:
Daniela Lourenco, Rachel Hawken, Yutaka Masuda, Ignacy Misztal, Jorge Hidalgo, Matias Bermann, Vivian Breen, Shogo Tsuruta
Publikováno v:
Journal of Animal Science. 99:28-28
The objectives of this research were to investigate trends for accuracy of genomic predictions over time in a broiler population accumulating data, and to test if data from distant generations are useful in maintaining the accuracy of genomic predict
Autor:
Pascal Duenk, Yvonne C. J. Wientjes, Mario P. L. Calus, Vivian Breen, Piter Bijma, John M. Henshall, Rachel Hawken
Publikováno v:
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution, 51(1)
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), pp.6. ⟨10.1186/s12711-019-0447-9⟩
Genetics Selection Evolution 51 (2019) 1
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-11 (2019)
Genetics Selection Evolution, 51(1)
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), pp.6. ⟨10.1186/s12711-019-0447-9⟩
Genetics Selection Evolution 51 (2019) 1
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-11 (2019)
Background In pig and poultry breeding programs, the breeding goal is to improve crossbred (CB) performance, whereas selection in the purebred (PB) lines is often based on PB performance. Thus, response to selection may be suboptimal, because the gen
Autor:
Pascal Duenk, Mario P. L. Calus, Yvonne C. J. Wientjes, John M. Henshall, Vivian Breen, Rachel Hawken, Piter Bijma
Publikováno v:
Genetics Selection Evolution, 51(1)
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), pp.38. ⟨10.1186/s12711-019-0481-7⟩
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-12 (2019)
Genetics Selection Evolution 51 (2019) 1
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), pp.38. ⟨10.1186/s12711-019-0481-7⟩
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-12 (2019)
Genetics Selection Evolution 51 (2019) 1
Genetics, Selection, Evolution : GSE
Background Pig and poultry breeding programs aim at improving crossbred (CB) performance. Selection response may be suboptimal if only purebred (PB) performance is used to compute genomic estimated breeding values (GEBV) because the genetic correlati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0d01d17d461c89eb7ea78f68ccc5410
https://research.wur.nl/en/publications/validation-of-genomic-predictions-for-body-weight-in-broilers-usi
https://research.wur.nl/en/publications/validation-of-genomic-predictions-for-body-weight-in-broilers-usi