A comparison of methods for training population optimization in genomic selection

A comparison of methods for training population optimization in genomic selection

20 Pág..

Saved in:

Bibliographic Details
Main Authors:	Fernández-González, Javier, Akdemir, Deniz, Isidro-Sánchez, Julio
Other Authors:	Conferencia de Rectores de las Universidades Españolas
Format:	artículo biblioteca
Language:	English
Published:	Springer Nature 2023-03-09
Online Access:	http://hdl.handle.net/10261/310782 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100003339 https://api.elsevier.com/content/abstract/scopus_id/85149972898
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Training Set Optimization for Sparse Phenotyping in Genomic Selection: A Conceptual Overview
by: Sanchez, Julio Isidro, et al.
Published: (2021-09-09)

TrainSel: An R Package for Selection of Training Populations
by: Akdemir, Deniz, et al.
Published: (2021-05-07)

Assessment of genomic prediction reliability and optimization of experimental designs in multi-environment trials
by: Rio, Simon, et al.
Published: (2022-02)

Genomic prediction and training set optimization in a structured Mediterranean oat population
by: Rio, Simon, et al.
Published: (2021-12)

Genomic prediction and training set optimization in a structured Mediterranean oat population
by: Rio, Simon, et al.
Published: (2021-11)

Genomic prediction and training set optimization in a structured Mediterranean oat population
by: Rio, Simon, et al.
Published: (2021-12)

An Expectation-Maximization Algorithm for Combining a Sample of Partially Overlapping Covariance Matrices
by: Akdemir, Deniz, et al.
Published: (2023-02-04)

Comparison of selection methods in simulated populations of broilers
by: de Oliveira, Claudine Gonçalves, et al.
Published: (2005)

Alternative scoring methods of fusarium head blight resistance for genomic assisted breeding
by: Garcia-Abadillo, J., et al.
Published: (2022-01-11)

Combining Partially Overlapping Multi-Omics Data in Databases Using Relationship Matrices
by: Akdemir, Deniz, et al.
Published: (2020-07-14)

Genomic selection for new traits: optimal prediction and reference population design
by: Calus, M.P.L., et al.

Trait variation in a banana training population for genomic selection.
by: Nyine, Moses, et al.
Published: (2017-09)

Evaluation of strategies to optimize training populations for genomic prediction in oat (Avena sativa)
by: Sørensen, E.S., et al.
Published: (2023)

Optimizing self-pollinated crop breeding employing genomic selection: From schemes to updating training sets
by: Sabadin, Felipe, et al.
Published: (2022-10-06)

Comparison of different methods of goat sperm selection and capacitation for optimization of assisted reproductive technologies.
by: OLIVARES, C. C. S., et al.
Published: (2016-01-29)

Genomic Selection Module 6.0b: Basic genomic selection and the training population Part 2
by: Sneller, C.
Published: (2017-07-19)

A comparison of genomic and phenomic selection methods for yield prediction in Coffea canephora
by: ADUNOLA, P., et al.
Published: (2024)

COMPARISON OF RECURRENT SELECTION METHODS IN WHEAT: II. SELECTION RESPONSE IN NON INBRED POPULATIONS
by: Benítez-Riquelme, Ignacio
Published: (1998)

Comparison of breeding methods for yield selection in common bean segregant populations.
by: SILVA, A. C. F., et al.
Published: (2010-01-27)

Trait variation and genetic diversity in a banana genomic selection training population
by: Nyine, M., et al.
Published: (2017-07-13T08:57:25Z)

Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
by: De Verdal, Hugues, et al.

A comparison of methods to estimate genomic relationships using pedigree and markers in livestock populations
by: Forneris, Natalia Soledad, et al.

Optimizing genomic selection for scarcely recorded traits
by: Pszczola, M.J.

A comparison of two methods for prediction of response and rates of inbreeding in selected populations with the results obtained in two selection experiments
by: Loywyck, V., et al.

Genomic selection in rubber tree breeding: A comparison of models and methods for managing G×E interactions
by: Souza, Livia Moura, et al.

Seaweeds' protein digestibility: Method optimization and comparison of different species
by: Díaz-Piñero, Laura, et al.
Published: (2024)

OPTIMIZATION METHOD FOR ANKLE STRENGTH TRAINING DURING EXERCISE
by: Huang,Kun, et al.
Published: (2023)

Optimizing genomic reference populations to improve crossbred performance
by: Wientjes, Yvonne C.J., et al.

Optimization of response to selection using genomic selection in indigenous chicken breeding programmes
by: Ndung'u,C.W., et al.
Published: (2021)

de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
by: de Verdal, Hugues, et al.

de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
by: Verdal, Hugues de, et al.
Published: (2023-10-25T15:02:51Z)

Analysis of historical data for optimization of genomic selection pipeline in cassava
by: Bakare, M.A.
Published: (2024-01-23T11:37:38Z)

Comparison of two breeding methods in corn, 3: yield of selected fourth-cycle lines from each population and method
by: 96644 Morera, J.A.

Comparison of two breeding methods in corn. III. Yield of selection fourth-cycle lines from each population and method
by: 96644 Morera, J.A.
Published: (1989)

Comparison of two breeding methods in corn. III. Yield of selection fourth-cycle lines from each population and method
by: Morera, J.A
Published: (1989-04)

Phenotypic evaluation of a multi-location cassava breeding trial to improve a genomic selection training population
by: Uchendu, U.K., et al.
Published: (2017-06-08T10:19:46Z)

New insights into genomic selection through population-based non-parametric prediction methods.
by: LIMA L. P., et al.
Published: (2019-07-05)

New insights into genomic selection through population-based non-parametric prediction methods
by: Lima,Leísa Pires, et al.
Published: (2019)

Optimal plot size in the evaluation of papaya scions: proposal and comparison of methods
by: Celanti,Humberto Felipe, et al.
Published: (2016)

Practical implementation of optimal management strategies in conservation programmes A mate selection method
by: Fernández, J., et al.
Published: (2002)

Resource Map