Articles citing this paper
Advances in methodology for random regression analyses
K. Meyer A
+ Author Affiliations
- Author Affiliations
A Animal Genetics and Breeding Unit (a joint venture between NSW Department of Primary Industries and the University of New England), University of New England, Armidale, NSW 2351, Australia. Email: kmeyer@didgeridoo.une.edu.au
Australian Journal of Experimental Agriculture 45(8) 847-858 https://doi.org/10.1071/EA05040
Submitted: 14 February 2005 Accepted: 29 April 2005 Published: 26 August 2005
24 articles found in Crossref database.
Parameter expansion for estimation of reduced rank covariance matrices(Open Access publication)
Meyer Karin
Genetics Selection Evolution. 2008 40(1). p.3
Genetic evaluation for scrotal circumference in Guzerat cattle through different models
Mota L.F.M.,
Costa L.S.,
Abreu L.R.A.,
Bonafé C.M.,
Ventura H.T., Martins P.G.M.A.
Livestock Science. 2019 222 p.1
Estimation of genetic parameters and trends for growth traits in Hays Converter cattle using multiple-trait and random regression models
Khorshidi R.,
MacNeil M.D.,
Hays D.P.,
Abo-Ismail M.K.,
Crowley J.J.,
Akanno E.C.,
Wang Z., Plastow G.
Livestock Science. 2020 241 p.104245
Modelos de regressão aleatória na avaliação da produção de leite em cabras da raça Saanen
Menezes Gilberto Romeiro de Oliveira,
Torres Robledo de Almeida,
Sarmento José Lindenberg Rocha,
Rodrigues Marcelo Teixeira,
Brito Luiz Fernando,
Lopes Paulo Sávio, Silva Felipe Gomes da
Revista Brasileira de Zootecnia. 2011 40(7). p.1526
Review Genetic analysis of longitudinal data in beef cattle: a review
Speidel S.E.,
Enns R.M., Crews Jr. D.H.
Genetics and Molecular Research. 2010 9(1). p.19
Random regression models for multi-environment, multi-time data from crop breeding selection trials
De Faveri J.,
Verbyla A. P.,
Rebetzke G., Cammarano Davide
Crop & Pasture Science. 2022 74(4). p.271
Genetic and phenotypic parameters of milk yield, milk composition and age at first kidding in Saanen goats from Mexico
Torres-Vázquez J.A.,
Valencia-Posadas M.,
Castillo-Juárez H., Montaldo H.H.
Livestock Science. 2009 126(1-3). p.147
Genetic evaluation of growth of Dorper sheep in semi-arid Kenya using random regression models
Kariuki C.M.,
Ilatsia E.D.,
Wasike C.B.,
Kosgey I.S., Kahi A.K.
Small Ruminant Research. 2010 93(2-3). p.126
Genetic evaluation and selection response for growth in meat-type quail through random regression models using B-spline functions and Legendre polynomials
Mota L.F.M.,
Martins P.G.M.A.,
Littiere T.O.,
Abreu L.R.A.,
Silva M.A., Bonafé C.M.
Animal. 2018 12(4). p.667
Comparison of different traits to evaluate the growth of bulls
Přibyl J.,
Přibylová J.,
Krejčová H., Mielenz N.
Czech Journal of Animal Science. 2008 53(7). p.273
Integrating High-Throughput Phenotyping and Statistical Genomic Methods to Genetically Improve Longitudinal Traits in Crops
Moreira Fabiana F.,
Oliveira Hinayah R.,
Volenec Jeffrey J.,
Rainey Katy M., Brito Luiz F.
Frontiers in Plant Science. 2020 11
Random regression models for the prediction of days to weight, ultrasound rib eye area, and ultrasound back fat depth in beef cattle
Speidel S. E.,
Peel R. K.,
Crews D. H., Enns R. M.
Journal of Animal Science. 2016 94(2). p.471
Changes in soil nutrients and stoichiometric ratios reveal increasing phosphorus deficiency along a tropical soil chronosequence
Zhao Wen, Huang Lai-Ming
CATENA. 2023 222 p.106893
Estimation of genetic parameters for body weight of the Goettingen minipig with random regression models1
Köhn F.,
Sharifi A. R.,
Malovrh Š., Simianer H.
Journal of Animal Science. 2007 85(10). p.2423
Models for genetic evaluation of growth of Brazilian Bonsmara cattle
Bignardi A.B.,
Santana M.L.,
Eler J.P., Ferraz J.B.S.
Livestock Science. 2014 162 p.50
Models for evaluation of growth of performance tested bulls
Přibyl J.,
Krejčová H.,
Přibylova J.,
Misztal I.,
Tsuruta S., Mielenz N.
Czech Journal of Animal Science. 2008 53(2). p.45
Bayesian analysis of random regression models using B-splines to model test-day milk yield of Holstein cattle in Brazil
Bignardi A.B.,
El Faro L.,
Santana M.L.,
Rosa G.J.M.,
Cardoso V.L.,
Machado P.F., Albuquerque L.G.
Livestock Science. 2012 150(1-3). p.401
Trajectory of body weight of performance tested dual-purpose bulls
Přibyl J.,
Krejčová H.,
Přibylová J.,
Misztal I.,
Bohmanová J., Štípková M.
Czech Journal of Animal Science. 2007 52(10). p.315
Random regression models on Legendre polynomials to estimate genetic parameters for weights from birth to adult age in Canchim cattle*
Baldi F.,
Albuquerque L.G., Alencar M.M.
Journal of Animal Breeding and Genetics. 2010 127(4). p.289
Random regression analyses using B-spline functions to model growth of Nellore cattle
Boligon A.A.,
Mercadante M.E.Z.,
Lôbo R.B.,
Baldi F., Albuquerque L.G.
Animal. 2012 6(2). p.212
Comparison of B-splines and non-linear functions to describe growth patterns and predict mature weight of female beef cattle
Cano G.,
Blanco M.,
Casasús I.,
Cortés-Lacruz X., Villalba D.
Animal Production Science. 2016 56(11). p.1787
Evaluation of the sensitivity of pulmonary arterial pressure to elevation using a reaction norm model in Angus Cattle
Speidel Scott E,
Thomas Milton G,
Holt Timothy N, Enns R Mark
Journal of Animal Science. 2020 98(5).
A dynamic linear model for genetic analysis of longitudinal traits1
Forni S.,
Gianola D.,
Rosa G. J. M., de los Campos G.
Journal of Animal Science. 2009 87(12). p.3845
Random regression analyses using B‐splines functions to model growth from birth to adult age in Canchim cattle*
Baldi F.,
Alencar M.M., Albuquerque L.G.
Journal of Animal Breeding and Genetics. 2010 127(6). p.433
