Results 41 to 50 of about 96,795 (287)

Multi-trait genome prediction of new environments with partial least squares

Frontiers in Genetics, 2022
The genomic selection (GS) methodology proposed over 20 years ago by Meuwissen et al. (Genetics, 2001) has revolutionized plant breeding. A predictive methodology that trains statistical machine learning algorithms with phenotypic and genotypic data of a
Osval A. Montesinos-López, Abelardo Montesinos-López, David Alejandro Bernal Sandoval, Brandon Alejandro Mosqueda-Gonzalez, Marco Alberto Valenzo-Jiménez, José Crossa, José Crossa   +6 more
doaj   +1 more source

Reliability of genomic predictions of complex human phenotypes

BMC Proceedings, 2018
Genome-wide association studies have helped us identify a wealth of genetic variants associated with complex human phenotypes. Because most variants explain a small portion of the total phenotypic variation, however, marker-based studies remain limited ...
Arthur Porto, Juan M. Peralta, Nicholas B. Blackburn, John Blangero   +3 more
doaj   +1 more source

Association between systolic blood pressure course and outcomes after stroke thrombectomy

BMJ Neurology Open, 2021
Background Systolic blood pressure (SBP) after endovascular thrombectomy (EVT) for large artery occlusive stroke is dynamic, requiring adaptable early prediction tools for improving outcomes.
Matteo Bottai, Charith Cooray, Niaz Ahmed, Staffan Holmin, Marius Matusevicius   +4 more
doaj   +1 more source

A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data

G3: Genes, Genomes, Genetics, 2019
In this paper we propose a Bayesian multi-output regressor stacking (BMORS) model that is a generalization of the multi-trait regressor stacking method. The proposed BMORS model consists of two stages: in the first stage, a univariate genomic best linear
Osval A. Montesinos-López, Abelardo Montesinos-López, José Crossa, Jaime Cuevas, José C. Montesinos-López, Zitlalli Salas Gutiérrez, Morten Lillemo, Juliana Philomin, Ravi Singh   +8 more
doaj   +1 more source

Parametric bootstrap approximation to the distribution of EBLUP and related prediction intervals in linear mixed models

, 2008
Empirical best linear unbiased prediction (EBLUP) method uses a linear mixed model in combining information from different sources of information. This method is particularly useful in small area problems.
Chatterjee, Snigdhansu, Lahiri, Partha, Li, Huilin   +2 more
core   +3 more sources

Genome-Wide Prediction of the Performance of Three-Way Hybrids in Barley

The Plant Genome, 2017
Predicting the grain yield performance of three-way hybrids is challenging. Three-way crosses are relevant for hybrid breeding in barley ( L.) and maize ( L.) adapted to East Africa.
Zuo Li, Norman Philipp, Monika Spiller, Gunther Stiewe, Jochen C. Reif, Yusheng Zhao   +5 more
doaj   +1 more source

Prediksi Risiko Sistematik Saham-Saham LQ45 Bursa Efek Indonesia

Jurnal Ekonomi dan Bisnis, 2016
Beta has been argued, both conceptually as well as empirically. In 1960's, many practitioners used superior advantages in calculation attempted at CAPM theory for investing in asset which has high Beta.
A An Arief Jusuf
doaj   +1 more source

Evaluation of nitrogen excretion equations for ryegrass pasture-fed dairy cows

Animal, 2021
Accurate and precise estimates of nitrogen (N) excretion in faeces and urine of dairy cattle may provide direct tools to improve N management and thus, to mitigate environmental pollution from dairy production.
C. Christodoulou, J.M. Moorby, E. Tsiplakou, D. Kantas, A. Foskolos   +4 more
doaj   +1 more source

Multiple-trait analyses improved the accuracy of genomic prediction and the power of genome-wide association of productivity and climate change-adaptive traits in lodgepole pine

BMC Genomics, 2022
Background Genomic prediction (GP) and genome-wide association (GWA) analyses are currently being employed to accelerate breeding cycles and to identify alleles or genomic regions of complex traits in forest trees species.
Eduardo P. Cappa, Charles Chen, Jennifer G. Klutsch, Jaime Sebastian-Azcona, Blaise Ratcliffe, Xiaojing Wei, Letitia Da Ros, Aziz Ullah, Yang Liu, Andy Benowicz, Shane Sadoway, Shawn D. Mansfield, Nadir Erbilgin, Barb R. Thomas, Yousry A. El-Kassaby   +14 more
doaj   +1 more source

Small area estimation for spatially correlated populations - a comparison of direct and indirect model-based methods [PDF]

, 2007
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate SAE based on linear models with spatially correlated small area effects where the neighbourhood structure is described by a contiguity matrix. Such models
Chambers, Ray, Chandra, Hukum, Salvati, Nicola   +2 more
core   +1 more source