Results 31 to 40 of about 2,148,018 (281)

Hierarchical Bayesian models for genotype × environment estimates in post-weaning gain of Hereford bovine via reaction norms Modelos hierárquicos bayesianos para estimativas de interação genótipo × ambiente em ganho pós-desmama de bovinos Hereford via normas de reação

Revista Brasileira de Zootecnia, 2011
It was evaluated statistical models with different assumptions to define the one that best describes the presence of genotype × environment interaction on adjusted post-weaning weight gain (PWG345) of Hereford cattle, through the study of reactions norms
Leandro Lunardini Cardoso, José Braccini Neto, Fernando Flores Cardoso, Jaime Araújo Cobuci, Igor de Oliveira Biassus, Júlio Otávio Jardim Barcellos   +5 more
doaj   +1 more source

Predicting Longitudinal Traits Derived from High-Throughput Phenomics in Contrasting Environments Using Genomic Legendre Polynomials and B-Splines

G3: Genes, Genomes, Genetics, 2019
Recent advancements in phenomics coupled with increased output from sequencing technologies can create the platform needed to rapidly increase abiotic stress tolerance of crops, which increasingly face productivity challenges due to climate change.
Mehdi Momen, Malachy T. Campbell, Harkamal Walia, Gota Morota   +3 more
doaj   +1 more source

Fitting Prediction Rule Ensembles with R Package pre [PDF]

, 2020
Prediction rule ensembles (PREs) are sparse collections of rules, offering highly interpretable regression and classification models. This paper presents the R package pre, which derives PREs through the methodology of Friedman and Popescu (2008).
Fokkema, Marjolein
core   +4 more sources

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

Genomic and phenotypic selection indices for decreased birth weight, shortening fattening period, and regulating total weight gain in beef cattle [PDF]

Animal Bioscience
Objective This study aimed to develop genomic and phenotypic indices for beef cattle selection that afford progeny with reduced birth weight and fattening period.
Kenji Togashi, Atsushi Ogino, Toshio Watanabe, Masakazu Shinomiya, Masashi Kinukawa, Kazuhito Kurogi, Masanobu Nurimoto   +6 more
doaj   +1 more source

Exploring nonlinearity with random field regression [PDF]

Applied Economics Letters, 2007
Random field regression models provide an extremely flexible way to investigate nonlinearity in economic data. This paper introduces a new approach to interpreting such models, which may allow for improved inference about the possible parametric specification of nonlinearity.
Bond, D. (Derek), Harrison, Michael J., O'Brien, Edward J. (Edward Joseph)   +2 more
openaire   +3 more sources

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

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

Estimation of genetic parameters for milk yield using a random regression test-day model in first parity dairy cows under pasture-based systems of Los Ríos region in Chile

Austral Journal of Veterinary Sciences, 2020
In dairy cattle, genetic selection for milk yield was generally based on 305 days lactation records that were calculated from available monthly test-day milk yield records.
Héctor Uribe, Felipe Lembeye
doaj   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source