Results 21 to 30 of about 816,699 (265)

Test-day or 305-day milk yield for genetic evaluation of Gir cattle [PDF]

open access: yesPesquisa Agropecuária Brasileira, 2019
: The objective of this work was to compare genetic evaluations of milk yield in the Gir breed, in terms of breeding values and their accuracy, using a random regression model applied to test-day records or the traditional model (TM) applied to estimates
Rodrigo Junqueira Pereira   +5 more
doaj   +1 more source

Randomized Regression In Differentiators

open access: yes, 1998
Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
Sari Siren, Pauli Kuosmanen
openaire   +2 more sources

Regression-Enhanced Random Forests

open access: yesCoRR, 2019
Random forest (RF) methodology is one of the most popular machine learning techniques for prediction problems. In this article, we discuss some cases where random forests may suffer and propose a novel generalized RF method, namely regression-enhanced random forests (RERFs), that can improve on RFs by borrowing the strength of penalized parametric ...
Haozhe Zhang   +2 more
openaire   +3 more sources

Genotype × environment interaction in milk traits of Guzerá cattle using reaction norm models [PDF]

open access: yesRevista Brasileira de Zootecnia
This study aimed to evaluate genotype × environment (G×E) interactions in Guzerá breed animals for 305-day first-lactation cumulative yields (kg) of milk (MY305), fat (FY305), and protein (PY305). We used 6823 records of MY305, 2466 records of FY305, and
Tainara Luana da Silva Soares   +7 more
doaj   +1 more source

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

open access: yesRevista 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   +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

open access: yesRevista 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   +3 more
doaj   +1 more source

Random kernel k-nearest neighbors regression

open access: yesFrontiers 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   +1 more
doaj   +1 more source

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

open access: yesArquivo 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   +6 more
doaj   +1 more source

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

open access: yesAnimal, 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   +6 more
doaj   +1 more source

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

open access: yesGenetics 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   +3 more
doaj   +1 more source

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