Results 21 to 30 of about 46,336 (180)

LIMA BEAN POPULATIONS ASSESSMENTS VIA REML/BLUP METHODOLOGY

open access: yesRevista Caatinga, 2022
ABSTRACT - Based on its nutritional and economic value, the lima bean (Phaseolus lunatus L.) is the second most important species of the genus. It has high genetic diversity and potential for production and is considered an alternative food and income source.
JHESSICA LANNA RODRIGUES DE CARVALHO   +5 more
openaire   +3 more sources

Estimation of Genetic Parameters and Breeding Values for Body weight and Linear Body Measurements of Mixed Flock of Cattle Breeds

open access: yesScientific Papers Animal Science and Biotechnologies, 2023
The aim of this study was to estimate the genetic parameters and breeding values for body weight and linear body measurements namely body length, heart girth, height at withers, hip height and tail length of cattle.
Ifeanyichukwu Udeh   +2 more
doaj  

QTL mapping for production traits in Czech Fleckvieh cattle

open access: yesCzech Journal of Animal Science, 2013
The objective of this study was to find QTL for milk production traits in Czech Fleckvieh cattle on chromosomes 6, 7, 11, 14, and 23 where QTL were previously identified in other dairy cattle populations.
J. Matějíčková   +9 more
doaj   +1 more source

Selection of a suitable definition of environment for the estimation of genotype × environment interaction in the weaning weight of beef cattle

open access: yesCzech Journal of Animal Science, 2008
Genotype by environment interactions for weaning weight in beef cattle were tested using several definitions of environments. Four breeds of beef cattle (Hereford, Aberdeen Angus, Beef Simmental, and Charolais) were represented.
L. Vostrý   +4 more
doaj   +1 more source

The analysis of very small samples of repeated measurements II: a modified box correction [PDF]

open access: yes, 2010
There is a need for appropriate methods for the analysis of very small samples of continuous repeated measurements. A key feature of such analyses is the role played by the covariance matrix of the repeated observations.
Bellavance   +22 more
core   +2 more sources

Estimation of genetic parameters of Wood’s lactation curve parameters using Bayesian and REML methods for milk production trait of Holstein dairy cattle

open access: yesJournal of Applied Animal Research, 2022
Bayesian and average information restricted maximum likelihood (AI-REML) approaches were used to estimate variance components and genetic parameters of Wood’s lactation curve parameters of milk production traits in three lactations of Iranian Holstein ...
Keyvan Radjabalizadeh   +3 more
doaj   +1 more source

Regularization for Generalized Additive Mixed Models by Likelihood-Based Boosting [PDF]

open access: yes, 2011
With the emergence of semi- and nonparametric regression the generalized linear mixed model has been expanded to account for additive predictors. In the present paper an approach to variable selection is proposed that works for generalized additive mixed
Groll, Andreas, Tutz, Gerhard
core   +2 more sources

A new approach fits multivariate genomic prediction models efficiently

open access: yesGenetics Selection Evolution, 2022
Background Fast, memory-efficient, and reliable algorithms for estimating genomic estimated breeding values (GEBV) for multiple traits and environments are needed to make timely decisions in breeding.
Alencar Xavier, David Habier
doaj   +1 more source

Plasma metabolites reflect seasonally changing metabolic processes in a long-distance migrant shorebird (Calidris canutus) [PDF]

open access: yes, 2002
Migrant birds have tightly scheduled annual cycles consisting of several distinct life cycle (sub-)stages such as reproduction, migration, moult and overwintering, each of which have specific metabolic requirements (e.g., fattening during migration ...
Jenni, Lukas,   +2 more
core   +2 more sources

Predicted Residual Error Sum of Squares of Mixed Models: An Application for Genomic Prediction. [PDF]

open access: yes, 2017
Genomic prediction is a statistical method to predict phenotypes of polygenic traits using high-throughput genomic data. Most diseases and behaviors in humans and animals are polygenic traits. The majority of agronomic traits in crops are also polygenic.
Xu, Shizhong
core   +2 more sources

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