Prediction of additive, epistatic, and dominance effects using models accounting for incomplete inbreeding in parental lines of hybrid rye and sugar beet

Autor: Peter Skov Kristensen, Pernille Sarup, Dario Fé, Jihad Orabi, Per Snell, Linda Ripa, Marius Mohlfeld, Thinh Tuan Chu, Joakim Herrström, Ahmed Jahoor, Just Jensen

Publikováno v: Frontiers in Plant Science, Vol 14 (2023)

Genomic models for prediction of additive and non-additive effects within and across different heterotic groups are lacking for breeding of hybrid crops. In this study, genomic prediction models accounting for incomplete inbreeding in parental lines

Externí odkaz: https://doaj.org/article/27d7b0e0acdc419ab4bd953354ff8533

Phenotypically Selective Genotyping Realizes More Genetic Gains in a Rainbow Trout Breeding Program in the Presence of Genotype-by-Environment Interactions

Autor: Thinh Tuan Chu, Anders Christian Sørensen, Mogens Sandø Lund, Kristian Meier, Torben Nielsen, Guosheng Su

Publikováno v: Frontiers in Genetics, Vol 11 (2020)

Selective genotyping of phenotypically superior animals may lead to bias and less accurate genomic breeding values (GEBV). Performing selective genotyping based on phenotypes measured in the breeding environment (B) is not necessarily a good strategy

Externí odkaz: https://doaj.org/article/8584ac5e99e74d7f8f7533bee2b54589

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

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

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

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

Publikováno v: Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-13 (2019)
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution 51 (2019) 1
Genetics Selection Evolution, 51(1)
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), pp.50. ⟨10.1186/s12711-019-0493-3⟩
Chu, T T, Bastiaansen, J WM, Berg, P, Rome, H J S, Marois, D, Henshall, J & Jensen, J 2019, ' Use of genomic information to exploit genotype-by-environment interactions for body weight of broiler chicken in bio-secure and production environments ', Genetics Selection Evolution, vol. 51, 50 . https://doi.org/10.1186/s12711-019-0493-3

BackgroundThe 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 interactions

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcfc0a47c12bdbfb1dfd9eb2bf72baf4
https://doi.org/10.1186/s12711-019-0493-3