Results 21 to 30 of about 2,173,075 (279)
The PX-EM algorithm for fast stable fitting of Henderson's mixed model
This paper presents procedures for implementing the PX-EM algorithm of Liu, Rubin and Wu to compute REML estimates of variance covariance components in Henderson's linear mixed models.
Van Dyk David A, Foulley Jean-Louis
doaj +1 more source
Genetic evaluation of daily gains of dual-purpose bulls using a random regression model
Daily gains of 8 243 dual-purpose bulls from 100 to 400 days of age during the years 1971 to 2007 were analyzed by random regression models. Orthogonal Legendre polynomials (LP) of degree 4 were applied to daily gains calculated at 30-day intervals over ...
H. Krejčová +4 more
doaj +1 more source
Convergence rates of Kernel Conjugate Gradient for random design regression [PDF]
We prove statistical rates of convergence for kernel-based least squares regression from i.i.d. data using a conjugate gradient algorithm, where regularization against overfitting is obtained by early stopping.
Blanchard, Gilles, Krämer, Nicole
core +2 more sources
Genetic and permanent environmental correlations between milk yield and somatic cell score (SCS) were estimated. The data set used in this analyse contained a total of 204,438 test-day (TD) observations of milk yield and SCS from 22,903 primiparous ...
Khabat Kheirabadi
doaj +1 more source
Trajectory of body weight of performance tested dual-purpose bulls
6 508 bulls of dual-purpose cattle at performance-test stations were weighed at intervals of 30 days from birth to 420 days. After all editing a total of 74 558 weight records were available.
J. Přibyl +5 more
doaj +1 more source
Estimating linear functionals in nonlinear regression with responses missing at random [PDF]
We consider regression models with parametric (linear or nonlinear) regression function and allow responses to be ``missing at random.'' We assume that the errors have mean zero and are independent of the covariates.
Müller, Ursula U.
core +4 more sources
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 +3 more
doaj +1 more source
Genetic parameters for milk yield in imported Jersey and Jersey-Friesian cows using daily milk records in Sri Lanka [PDF]
Objective This study was conducted to estimate genetic parameters for milk yield traits using daily milk yield records from parlour data generated in an intensively managed commercial dairy farm with Jersey and Jersey-Friesian cows in Sri Lanka.
Amali Malshani Samaraweera +4 more
doaj +1 more source
Os objetivos com este estudo foram verificar a presença de interação genótipo-ambiente e comparar modelos para o ajuste do ganho pós-desmama padronizado para 345 dias de bovinos da raça Devon, via normas de reação obtidas por regressão aleatória.
Marcela Bicca Bragança Corrêa +2 more
doaj +1 more source
Inclusion of bioclimatic variables in genetic evaluations of dairy cattle [PDF]
Objective Considering the importance of dairy farming and the negative effects of heat stress, more tolerant genotypes need to be identified. The objective of this study was to investigate the effect of heat stress via temperature-humidity index (THI ...
Renata Negri +6 more
doaj +1 more source

