Results 71 to 80 of about 179,787 (326)

The impact of truncating data on the predictive ability for single‐step genomic best linear unbiased prediction

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie, 2018
Simulated and swine industry data sets were utilized to assess the impact of removing older data on the predictive ability of selection candidate estimated breeding values (EBV) when using single-step genomic best linear unbiased prediction (ssGBLUP ...
J. Howard, T. Rathje, C. Bruns, Danielle F. Wilson-Wells, S. Kachman, M. Spangler   +5 more
semanticscholar   +1 more source

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows

Advanced Functional Materials, EarlyView.
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao, Niamh Mac Fhionnlaoich, Max Besenhard, Arun Pankajakshan, Federico Galvanin, Stefan Guldin   +5 more
wiley   +1 more source

Genomic selection in rubber tree breeding: A comparison of models and methods for managing G×E interactions [PDF]

, 2019
Several genomic prediction models combining genotype × environment (G×E) interactions have recently been developed and used for genomic selection (GS) in plant breeding programs. G×E interactions reduce selection accuracy and limit genetic gains in plant
Francisco, Felipe O., Fritsche-Neto, Roberto, Gonçalves, Paulo De Souza, Le Guen, Vincent, Scaloppi Junior, Erivaldo José, Souza, Anete Pereira, Souza, Livia Moura   +6 more
core   +2 more sources

Enhancing Direct Solar Water Splitting via ALD of Multifunctional TiO2/Pt Nanoparticle Coatings With Engineered Interfaces to GaAs/GaInP Tandem Cells

Advanced Functional Materials, EarlyView.
Multifunctional atomic layer deposited coatings and interface treatments enhance direct solar water splitting on GaAs/GaInP tandem cells. Optimized TiO2/Pt nanoparticle bilayers ensure durability and catalytic efficiency with minimal optical losses, while H2 plasma pretreatments maximize photovoltage and interfacial charge extraction.
Tim F. Rieth, Verena Streibel, Oliver Bienek, Sergej Levashov, Johannes Dittloff, Kristof Möller, Johanna Eichhorn, Matthias M. May, Ian D. Sharp   +8 more
wiley   +1 more source

Aggregation-cokriging for highly multivariate spatial data [PDF]

, 2017
Best linear unbiased prediction of spatially correlated multivariate random processes, often called cokriging in geostatistics, requires the solution of a large linear system based on the covariance and cross-covariance matrix of the observations.
Furrer, Reinhard, Genton, Marc G.
core  

Single-step genomic prediction of fruit-quality traits using phenotypic records of non-genotyped relatives in citrus.

PLoS ONE, 2019
The potential of genomic selection (GS) is currently being evaluated for fruit breeding. GS models are usually constructed based on information from both the genotype and phenotype of population.
Atsushi Imai, Takeshi Kuniga, Terutaka Yoshioka, Keisuke Nonaka, Nobuhito Mitani, Hiroshi Fukamachi, Naofumi Hiehata, Masashi Yamamoto, Takeshi Hayashi   +8 more
doaj   +1 more source

Spatial EBLUP dalam Pendugaan Area Kecil

Sainsmat, 2018
Empirical Best Linear Unbiased Prediction (EBLUP) merupakan salah satu metode dalam pendugaan area kecil. Asumsi yang digunakan dalam EBLUP adalah bahwa pengaruh acak galat area saling bebas.
Muhammad Nusrang, Suwardi Annas, Asfar Asfar, Hastuty Hastuty, Jajang Jajang   +4 more
doaj   +1 more source

Accuracy of genomic evaluation with weighted single-step genomic best linear unbiased prediction for milk production traits, udder type traits, and somatic cell scores in French dairy goats.

Journal of Dairy Science, 2019
Genomic evaluation of French dairy goats is routinely conducted using the single-step genomic BLUP (ssGBLUP) method. This method has the advantage of simultaneously using all phenotypes, pedigrees, and genotypes.
M. Teissier, H. Larroque, C. Robert-Granié   +2 more
semanticscholar   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Genetic Dissection of Snow Mold Tolerance in US Pacific Northwest Winter Wheat Through Genome-Wide Association Study and Genomic Selection

Frontiers in Plant Science, 2019
Snow mold is a yield-limiting disease of wheat in the Pacific Northwest (PNW) region of the US, where there is prolonged snow cover. The objectives of this study were to identify genomic regions associated with snow mold tolerance in a diverse panel of ...
Dennis Lozada, Jayfred V. Godoy, Timothy D. Murray, Brian P. Ward, Arron H. Carter   +4 more
doaj   +1 more source