Results 31 to 40 of about 9,816 (139)

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
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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
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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
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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
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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
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Genomic Analysis, Progress and Future Perspectives in Dairy Cattle Selection: A Review

Animals, 2021
Genomics comprises a set of current and valuable technologies implemented as selection tools in dairy cattle commercial breeding programs. The intensive progeny testing for production and reproductive traits based on genomic breeding values (GEBVs) has ...
Miguel A. Gutierrez-Reinoso, Pedro M. Aponte, Manuel Garcia-Herreros   +2 more
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Comparison of spatial interpolation techniques to predict soil properties in the colombian piedmont eastern plains

Tecnura, 2017
Context: Interpolating soil properties at field-scale in the Colombian piedmont eastern plains is challenging due to: the highly and complex variable nature of some processes; the effects of the soil; the land use; and the management. While interpolation
Mauricio Castro Franco, Dayra Yisel García Ramírez, Andrés Fernando Jiménez López   +2 more
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Genomic prediction from observed and imputed high-density ovine genotypes

Genetics Selection Evolution, 2017
Background Genomic prediction using high-density (HD) marker genotypes is expected to lead to higher prediction accuracy, particularly for more heterogeneous multi-breed and crossbred populations such as those in sheep and beef cattle, due to providing ...
Nasir Moghaddar, Andrew A. Swan, Julius H. J. van der Werf   +2 more
doaj   +1 more source

On Empirical Best Linear Unbiased Predictor under s Linear Mixed Model with Correlated Random Effects

Ekonometria, 2020
The problem of small area prediction is considered under a Linear Mixed Model. The article presents a proposal of an empirical best linear unbiased predictor under a model with two correlated random effects.
Małgorzata K. Krzciuk
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