Cargando…

Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials

“Sparse testing” refers to reduced multi-environment breeding trials in which not all genotypes of interest are grown in each environment. Using genomic-enabled prediction and a model embracing genotype × environment interaction (GE), the non-observed genotype-in-environment combinations can be pred...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jarquin, Diego, Howard, Reka, Crossa, Jose, Beyene, Yoseph, Gowda, Manje, Martini, Johannes W. R., Covarrubias Pazaran, Giovanny, Burgueño, Juan, Pacheco, Angela, Grondona, Martin, Wimmer, Valentin, Prasanna, Boddupalli M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Genetics Society of America 2020
Materias:	Genomic Prediction
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407457/ https://www.ncbi.nlm.nih.gov/pubmed/32527748 http://dx.doi.org/10.1534/g3.120.401349

Ejemplares similares

Joint Use of Genome, Pedigree, and Their Interaction with Environment for Predicting the Performance of Wheat Lines in New Environments
por: Howard, Réka, et al.
Publicado: (2019)

Deep Kernel for Genomic and Near Infrared Predictions in Multi-environment Breeding Trials
por: Cuevas, Jaime, et al.
Publicado: (2019)

Lost in Translation: On the Problem of Data Coding in Penalized Whole Genome Regression with Interactions
por: Martini, Johannes W. R., et al.
Publicado: (2019)

Application of Genomic Selection at the Early Stage of Breeding Pipeline in Tropical Maize
por: Beyene, Yoseph, et al.
Publicado: (2021)

Modeling genotype × environment interaction for single and multitrait genomic prediction in potato (Solanum tuberosum L.)
por: Cuevas, Jaime, et al.
Publicado: (2022)

Scalable Sparse Testing Genomic Selection Strategy for Early Yield Testing Stage
por: Atanda, Sikiru Adeniyi, et al.
Publicado: (2021)

Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture
por: Montesinos-López, Abelardo, et al.
Publicado: (2018)

Multi-trait, Multi-environment Deep Learning Modeling for Genomic-Enabled Prediction of Plant Traits
por: Montesinos-López, Osval A., et al.
Publicado: (2018)

Efficiency of a Constrained Linear Genomic Selection Index To Predict the Net Genetic Merit in Plants
por: Cerón-Rojas, J. Jesus, et al.
Publicado: (2019)

Combined Multistage Linear Genomic Selection Indices To Predict the Net Genetic Merit in Plant Breeding
por: Cerón-Rojas, J. Jesus, et al.
Publicado: (2020)

Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm
por: Mageto, Edna K., et al.
Publicado: (2020)

A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data
por: Montesinos-López, Osval A., et al.
Publicado: (2019)

Maximum a posteriori Threshold Genomic Prediction Model for Ordinal Traits
por: Montesinos-López, Abelardo, et al.
Publicado: (2020)

Results from rapid-cycle recurrent genomic selection in spring bread wheat
por: Dreisigacker, Susanne, et al.
Publicado: (2023)

A Multivariate Poisson Deep Learning Model for Genomic Prediction of Count Data
por: Montesinos-López, Osval Antonio, et al.
Publicado: (2020)

A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding
por: Montesinos-López, Osval A., et al.
Publicado: (2019)

New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes
por: Montesinos-López, Osval A., et al.
Publicado: (2019)

Multimodal deep learning methods enhance genomic prediction of wheat breeding
por: Montesinos-López, Abelardo, et al.
Publicado: (2023)

Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat
por: Krause, Margaret R., et al.
Publicado: (2019)

Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices
por: Lopez-Cruz, Marco, et al.
Publicado: (2021)

Phantom Epistasis in Genomic Selection: On the Predictive Ability of Epistatic Models
por: Schrauf, Matías F., et al.
Publicado: (2020)

Optimizing Low-Cost Genotyping and Imputation Strategies for Genomic Selection in Atlantic Salmon
por: Tsairidou, Smaragda, et al.
Publicado: (2019)

Predicting Longitudinal Traits Derived from High-Throughput Phenomics in Contrasting Environments Using Genomic Legendre Polynomials and B-Splines
por: Momen, Mehdi, et al.
Publicado: (2019)

Genome-Wide Association Study and Cost-Efficient Genomic Predictions for Growth and Fillet Yield in Nile Tilapia (Oreochromis niloticus)
por: Yoshida, Grazyella M., et al.
Publicado: (2019)

Genetic dissection of Striga hermonthica (Del.) Benth. resistance via genome-wide association and genomic prediction in tropical maize germplasm
por: Gowda, Manje, et al.
Publicado: (2021)

Maximizing efficiency of genomic selection in CIMMYT’s tropical maize breeding program
por: Atanda, Sikiru Adeniyi, et al.
Publicado: (2020)

Genetic analyses of tropical maize lines under artificial infestation of fall armyworm and foliar diseases under optimum conditions
por: Kamweru, Isaac, et al.
Publicado: (2023)

Prediction of Subgenome Additive and Interaction Effects in Allohexaploid Wheat
por: Santantonio, Nicholas, et al.
Publicado: (2018)

Extensions of BLUP Models for Genomic Prediction in Heterogeneous Populations: Application in a Diverse Switchgrass Sample
por: Ramstein, Guillaume P., et al.
Publicado: (2019)

The Role of Standing Variation in the Evolution of Weedines Traits in South Asian Weedy Rice (Oryza spp.)
por: Huang, Zhongyun, et al.
Publicado: (2018)

Genomic Prediction Using Multi-trait Weighted GBLUP Accounting for Heterogeneous Variances and Covariances Across the Genome
por: Karaman, Emre, et al.
Publicado: (2018)

Training Population Optimization for Prediction of Cassava Brown Streak Disease Resistance in West African Clones
por: Ozimati, Alfred, et al.
Publicado: (2018)

Phenomic Selection Is a Low-Cost and High-Throughput Method Based on Indirect Predictions: Proof of Concept on Wheat and Poplar
por: Rincent, Renaud, et al.
Publicado: (2018)

Genotype Imputation in Winter Wheat Using First-Generation Haplotype Map SNPs Improves Genome-Wide Association Mapping and Genomic Prediction of Traits
por: Nyine, Moses, et al.
Publicado: (2018)

Use of F2 Bulks in Training Sets for Genomic Prediction of Combining Ability and Hybrid Performance
por: Technow, Frank
Publicado: (2019)

Usefulness Criterion and Post-selection Parental Contributions in Multi-parental Crosses: Application to Polygenic Trait Introgression
por: Allier, Antoine, et al.
Publicado: (2019)

Genomic Selection for Yield and Seed Composition Traits Within an Applied Soybean Breeding Program
por: Stewart-Brown, Benjamin B., et al.
Publicado: (2019)

Optimizing Selection and Mating in Genomic Selection with a Look-Ahead Approach: An Operations Research Framework
por: Moeinizade, Saba, et al.
Publicado: (2019)

Genomic Selection with Allele Dosage in Panicum maximum Jacq.
por: de C. Lara, Letícia A., et al.
Publicado: (2019)

Genomic Prediction of Additive and Non-additive Effects Using Genetic Markers and Pedigrees
por: de Almeida Filho, Janeo Eustáquio, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_ijeavq6ajg00g7l1gnpq7arlau