Impact of Phenotypic Correction Method and Missing Phenotypic Data on Genomic Prediction of Maize Hybrids-Reference-Cited by-同舟云学术

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Impact of Phenotypic Correction Method and Missing Phenotypic Data on Genomic Prediction of Maize Hybrids

Published:2018-06-14 Issue:4 Volume:58 Page:1481-1491
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Science

Author:

Galli Giovanni¹,Lyra Danilo Hottis²,Alves Filipe Couto¹,Granato Ítalo Stefanine Correia¹,e Sousa Massaine Bandeira³,Fritsche-Neto Roberto¹

Affiliation:

1. Dep. of Genetics; “Luiz de Queiroz” College of Agriculture; Univ. of São Paulo; Piracicaba São Paulo Brazil

2. Dep. of Computational & Analytical Sciences; Rothamsted Research; Harpenden UK

3. Embrapa Cassava and Fruits; Cruz das Almas Bahia Brazil

Funder

Allogamous Plant Breeding Laboratory

Luiz de Queiroz College of Agriculture

Universidade de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.2135/cropsci2017.07.0459/fullpdf

Reference58 articles.

1. Genome-based prediction of maize hybrid performance across genetic groups, testers, locations, and years;Albrecht;Theor. Appl. Genet.,2014

2. The importance of phenotypic data analysis for genomic prediction-a case study comparing different spatial models in rye;Bernal-Vasquez;BMC Genomics,2014

3. Molecular markers and selection for complex traits in plants: Learning from the last 20 years;Bernardo;Crop Sci.,2008

4. Genomewide selection when major genes are known;Bernardo;Crop Sci.,2014

5. Prospects for genomewide selection for quantitative traits in maize;Bernardo;Crop Sci.,2007

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automated Machine Learning: A Case Study of Genomic “Image-Based” Prediction in Maize Hybrids;Frontiers in Plant Science;2022-03-07

2. Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap Review;Frontiers in Plant Science;2021-07-01

3. EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture;G3 Genes|Genomes|Genetics;2021-02-06

4. Factors Influencing Genomic Prediction Accuracies of Tropical Maize Resistance to Fall Armyworm and Weevils;Plants;2020-12-24

5. EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture;2020-10-14

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