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Training Population Optimization for Genomic Selection

Published:2019-11 Issue:3 Volume:12 Page:190028
ISSN:1940-3372
Container-title:The Plant Genome
language:en
Short-container-title:Plant Genome

Author:

Berro Inés¹²,Lado Bettina²,Nalin Rafael S.¹³,Quincke Martin⁴,Gutiérrez Lucía¹²

Affiliation:

1. Dep. of AgronomyUniv. of Wisconsin – Madison1575 Linden Dr.MadisonWI53706

2. Statistics Dep.Facultad de AgronomíaUniv. de la RepúblicaGarzón 780Montevideo12900Uruguay

3. Dep. of GeneticsEscola Superior de Agricultura “Luiz de Queiroz”Univ. de São PauloPiracicabaSão PauloBrazil

4. Instituto Nacional de Investigación AgropecuariaEst. Exp. La Estanzuela, Ruta 50 km 11.570006ColoniaUruguay

Funder

University de la Republica, Uruguay

Comision Sectorial de Investigacion Cientifica

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Genetics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.3835/plantgenome2019.04.0028

Reference73 articles.

1. Field high-throughput phenotyping: the new crop breeding frontier

2. Accuracy and Training Population Design for Genomic Selection on Quantitative Traits in Elite North American Oats

3. Prospects for Genomewide Selection for Quantitative Traits in Maize

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1. Comparing strategies for genomic predictions in interspecific biparental populations: a case study with the Rubus genus;Euphytica;2024-09-04

2. Simulations of Genomic Selection Implementation Pathways in Common Bean (Phaseolus vulgaris L.) Using RRBLUP and Artificial Neural Networks;2024-08-26

3. Use of simulation to optimize a sweet corn breeding program: implementing genomic selection and doubled haploid technology;G3: Genes, Genomes, Genetics;2024-06-13

4. Elite germplasm introduction, training set composition, and genetic optimization algorithms effect in genomic selection-based breeding programs: a stochastic simulation study in self-pollinated crops;2024-05-13

5. Genomic prediction for targeted populations of environments in oat (Avena sativa);Crop & Pasture Science;2024-04-30

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