Results 21 to 30 of about 816,699 (265)
Test-day or 305-day milk yield for genetic evaluation of Gir cattle [PDF]
: 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
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Randomized Regression In Differentiators
Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
Sari Siren, Pauli Kuosmanen
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Regression-Enhanced Random Forests
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
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Genotype × environment interaction in milk traits of Guzerá cattle using reaction norm models [PDF]
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
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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
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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
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Random kernel k-nearest neighbors regression
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
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Analyses of growth curves of Nellore cattle by Bayesian method via Gibbs sampling
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
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Genetic growth potential characterization in the Japanese quail: a meta-analysis
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
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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
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