Results 41 to 50 of about 4,929,720 (302)

Reaction norms models in the adjusted weight at 550 days of age for Polled Nellore cattle in Northeast Brazil

Revista Brasileira de Zootecnia, 2014
The objective of this study was to evaluate the genotype-environment interaction (GEI) in the body weight adjusted to 550 days of age (W550) of Polled Nellore cattle raised in Northeastern Brazil using reaction norms (RN) models.
Diego Pagung Ambrosini, Paulo Luiz Souza Carneiro, José Braccini Neto, Raimundo Martins Filho, Rosimira dos Santos Amaral, Fernando Flores Cardoso, Carlos Henrique Mendes Malhado   +6 more
doaj   +1 more source

Estimação de parâmetros genéticos utilizando-se a produção de leite no dia do controle em primeiras lactações de vacas da raça Jersey Estimation of genetic parameters for test day milk yield of first lactation Jersey cows using repeatability and random regression models

Revista Brasileira de Zootecnia, 2006
Registros da produção de leite de 3.531 controles de 620 primíparas da raça Jersey foram utilizados para a estimação dos componentes de covariância e dos parâmetros genéticos para a produção de leite por meio dos modelos de repetibilidade e de regressão ...
Nelson José Laurino Dionello, Carlos Alberto Soares da Silva, Claudio Napolis Costa, Jaime Araújo Cobuci   +3 more
doaj   +1 more source

Genetic growth potential characterization in the Japanese quail: a meta-analysis

Animal, 2020
The description of the growth of the Japanese quails is necessary to characterize the genetic potential of these birds raised in different countries. Thus, the aim of this study was to describe the genetic potential of Japanese quails by conducting a ...
L.C. Carvalho, H.S. Nogueira, A.R.T. Minussi, M.B. Lima, D.P. Munari, N.J. Peruzzi, E.P. Silva   +6 more
doaj   +1 more source

Random kernel k-nearest neighbors regression

Frontiers in Big Data
The k-nearest neighbors (KNN) regression method, known for its nonparametric nature, is highly valued for its simplicity and its effectiveness in handling complex structured data, particularly in big data contexts.
Patchanok Srisuradetchai, Korn Suksrikran   +1 more
doaj   +1 more source

Analyses of growth curves of Nellore cattle by Bayesian method via Gibbs sampling

Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 2003
Growth curves of Nellore cattle were analyzed using body weights measured at ages ranging from 1 day (birth weight) to 733 days. Traits considered were birth weight, 10 to 110 days weight, 102 to 202 days weight, 193 to 293 days weight, 283 to 383 days ...
P.R.C. Nobre, P.S. Lopes, R.A. Torres, L.O.C. Silva, A.J. Regazzi, R.A.A. Torres Júnior, I. Misztal   +6 more
doaj   +1 more source

Models for evaluation of growth of performance tested bulls

Czech Journal of Animal Science, 2008
Before being used for insemination, young bulls of Czech Fleckvieh (CF) are tested for growth at performance-test stations. While at stations, the bulls are weighed monthly. Evaluation included 7 448 bulls with 82 676 records of weight measured from 6 to
J. Přibyl, H. Krejčová, J. Přibylova, I. Misztal, S. Tsuruta, N. Mielenz   +5 more
doaj   +1 more source

Multiple trait model combining random regressions for daily feed intake with single measured performance traits of growing pigs

Genetics Selection Evolution, 2002
A random regression model for daily feed intake and a conventional multiple trait animal model for the four traits average daily gain on test (ADG), feed conversion ratio (FCR), carcass lean content and meat quality index were combined to analyse data ...
Künzi Niklaus, Labroue Florence, Hofer Andreas, Schnyder Urs   +3 more
doaj   +1 more source

Random-effects regression models in expansion and contraction economic periods.

, 2019
Random-effects regression models in expansion and contraction economic periods.
Jorge Hernández-Pérez (6996686), Tomás Lorenzana de la Varga (6996689), Salvador Cruz Rambaud (2149327)   +2 more
core   +1 more source

Random-effects regression model for damage done to the CPR.

, 2016
Random-effects regression model for damage done to the CPR.
Narriman S. Jiddawi (532885), Achim Schlüter (106551), Micaela M. Kulesz (3395921), Aneeque Javaid (3607616), Alexandra Ghosh (3395924)   +4 more
core   +1 more source

EM-REML estimation of covariance parameters in Gaussian mixed models for longitudinal data analysis

Genetics Selection Evolution, 2000
This paper presents procedures for implementing the EM algorithm to compute REML estimates of variance covariance components in Gaussian mixed models for longitudinal data analysis.
Robert-Granié Christèle, Jaffrézic Florence, Foulley Jean-Louis   +2 more
doaj   +1 more source