Výsledky vyhledávání - "Danye Marois"

Akademický článek

Estimation and consequences of direct-maternal genetic and environmental covariances in models for genetic evaluation in broilers

Autor: Hélène Romé, Thinh T. Chu, Danye Marois, Chyong-Huoy Huang, Per Madsen, Just Jensen

Publikováno v: Genetics Selection Evolution, Vol 55, Iss 1, Pp 1-15 (2023)

Abstract Background Maternal effects influence juvenile traits such as body weight and early growth in broilers. Ignoring significant maternal effects leads to reduced accuracy and inflated predicted breeding values. Including genetic and environment

Externí odkaz: https://doaj.org/article/2b58473a83614bafb637327062f00076

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Akademický článek

Effect of genomic selection and genotyping strategy on estimation of variance components in animal models using different relationship matrices

Autor: Lei Wang, Luc L. Janss, Per Madsen, John Henshall, Chyong-Huoy Huang, Danye Marois, Setegn Alemu, AC Sørensen, Just Jensen

Publikováno v: Genetics Selection Evolution, Vol 52, Iss 1, Pp 1-14 (2020)

Abstract Background The traditional way to estimate variance components (VC) is based on the animal model using a pedigree-based relationship matrix (A) (A-AM). After genomic selection was introduced into breeding programs, it was anticipated that VC

Externí odkaz: https://doaj.org/article/3a1884d7f8804ea3bd5200c8800ac4db

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Akademický článek

Use of genomic information to exploit genotype-by-environment interactions for body weight of broiler chicken in bio-secure and production environments

Autor: Thinh T. Chu, John W. M. Bastiaansen, Peer Berg, Hélène Romé, Danye Marois, John Henshall, Just Jensen

Publikováno v: Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-13 (2019)

Abstract Background The increase in accuracy of prediction by using genomic information has been well-documented. However, benefits of the use of genomic information and methodology for genetic evaluations are missing when genotype-by-environment int

Externí odkaz: https://doaj.org/article/8e10d9f15fb1419494a919df387f9c59

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Akademický článek

Genetic parameters for body weight and different definitions of residual feed intake in broiler chickens

Autor: Wossenie Mebratie, Per Madsen, Rachel Hawken, Hélène Romé, Danye Marois, John Henshall, Henk Bovenhuis, Just Jensen

Publikováno v: Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-12 (2019)

Abstract Background The objectives of this study were to (1) simultaneously estimate genetic parameters for BW, feed intake (FI), and body weight gain (Gain) during a FI test in broiler chickens using multi-trait Bayesian analysis; (2) derive phenoty

Externí odkaz: https://doaj.org/article/8b38dc10317748209a5b34d526ca4bdd

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Akademický článek

Correction to: Use of genomic information to exploit genotype-by-environment interactions for body weight of broiler chicken in bio-secure and production environments

Autor: Thinh T. Chu, John W. M. Bastiaansen, Peer Berg, Hélène Romé, Danye Marois, John Henshall, Just Jensen

Publikováno v: Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-1 (2019)

After publication of this work [1], we noticed that there was an error: the formula to calculate the standard error of the estimated correlation

Externí odkaz: https://doaj.org/article/8d28c580f30147baa4d4e2e9fb3932e5

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Accounting for genetic architecture for body weight improves accuracy of predicting breeding values in a commercial line of broilers

Autor: Thinh Tuan Chu, Chyong-Huoy Huang, Hélène Romé, Danye Marois, Per Madsen, Just Jensen

Publikováno v: Rome, H J S, Chu, T T, Marois, D, Huang, C-H, Madsen, P & Jensen, J 2021, ' Accounting for genetic architecture for body weight improves accuracy of predicting breeding values in a commercial line of broilers ', Journal of Animal Breeding and Genetics, vol. 138, no. 5, 528-540 . https://doi.org/10.1111/jbg.12546
Journal of Animal Breeding and Genetics

BLUP (best linear unbiased prediction) is the standard for predicting breeding values, where different assumptions can be made on variance–covariance structure, which may influence predictive ability. Herein, we compare accuracy of prediction of fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3f7687cf071c7afb3c759e7e8194aed
https://pure.au.dk/portal/da/publications/accounting-for-genetic-architecture-for-body-weight-improves-accuracy-of-predicting-breeding-values-in-a-commercial-line-of-broilers(a5dd8d89-c58b-49a7-a493-abb093664f1b).html

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Effect of genomic selection and genotyping strategy on estimation of variance components in animal models using different relationship matrices

Autor: Luc Janss, Setegn Worku Alemu, John M. Henshall, Chyong-Huoy Huang, Just Jensen, Danye Marois, Anders Christian Sørensen, Per Madsen, Lei Wang

Publikováno v: Genetics, Selection, Evolution : GSE
Wang, L, Janss, L L, Madsen, P, Henshall, J, Huang, C-H, Marois, D, Alemu, S, Sørensen, A C & Jensen, J 2020, ' Effect of genomic selection and genotyping strategy on estimation of variance components in animal models using different relationship matrices ', Genetics, selection, evolution : GSE, vol. 52, no. 1, 31 . https://doi.org/10.1186/s12711-020-00550-w
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2020, 52 (1), pp.31. ⟨10.1186/s12711-020-00550-w⟩
Genetics Selection Evolution, Vol 52, Iss 1, Pp 1-14 (2020)

Background The traditional way to estimate variance components (VC) is based on the animal model using a pedigree-based relationship matrix (A) (A-AM). After genomic selection was introduced into breeding programs, it was anticipated that VC estimate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69a829c3c2cdfe4ecaed6526ac67c4b7
https://doi.org/10.1186/s12711-020-00550-w

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Additional file 1 of Effect of genomic selection and genotyping strategy on estimation of variance components in animal models using different relationship matrices

Autor: Wang, Lei, Janss, Luc L., Madsen, Per, Henshall, John, Chyong-Huoy Huang, Danye Marois, Setegn Alemu, AC Sørensen, Jensen, Just

Additional file 1: Figure S1. Genetic variance by generation in the simulated data computed from the variance of true breeding values in each generation.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63ed9206efa0b0d7ce6b6ca51dee3a52

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Genetic analysis on body weight at different ages in broiler chicken raised in commercial environment

Autor: Danye Marois, Per Madsen, John M. Henshall, Thinh Tuan Chu, Just Jensen, E. Norberg, Lei Wang

Publikováno v: Chu, T T, Madsen, P, Norberg, E, Wang, L, Marois, D, Henshall, J & Jensen, J 2020, ' Genetic analysis on body weight at different ages in broiler chicken raised in commercial environment ', Journal of Animal Breeding and Genetics (Online), vol. 137, no. 2, pp. 245-259 . https://doi.org/10.1111/jbg.12448
Journal of Animal Breeding and Genetics 137 (2020) 2
Journal of Animal Breeding and Genetics, 137(2), 245-259

A multivariate model was developed and used to estimate genetic parameters of body weight (BW) at 1–6 weeks of age of broilers raised in a commercial environment. The development of model was based on the predictive ability of breeding values evalu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff62de7568ae405181d8f854260be664
https://pubmed.ncbi.nlm.nih.gov/31621116

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Genetic parameters for body weight and different definitions of residual feed intake in broiler chickens

Autor: Rachel Hawken, Danye Marois, Hélène Romé, John M. Henshall, Just Jensen, Per Madsen, Henk Bovenhuis, Wossenie Mebratie

Publikováno v: Genetics Selection Evolution 51 (2019) 1
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), pp.53. ⟨10.1186/s12711-019-0494-2⟩
Mebratie, W, Madsen, P, Hawken, R, Romé, H, Marois, D, Henshall, J, Bovenhuis, H & Jensen, J 2019, ' Genetic parameters for body weight and different definitions of residual feed intake in broiler chickens ', Genetics Selection Evolution, vol. 51, no. 1, 53 . https://doi.org/10.1186/s12711-019-0494-2
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-12 (2019)
Genetics Selection Evolution, 51(1)

Background The objectives of this study were to (1) simultaneously estimate genetic parameters for BW, feed intake (FI), and body weight gain (Gain) during a FI test in broiler chickens using multi-trait Bayesian analysis; (2) derive phenotypic and g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5bc5189325a7f221baa6abbe39f5b54
https://research.wur.nl/en/publications/genetic-parameters-for-body-weight-and-different-definitions-of-r

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