Accounting for spatial trends to increase the selection efficiency in potato breeding-Reference-Cited by-同舟云学术

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Accounting for spatial trends to increase the selection efficiency in potato breeding

Published:2020-08-06 Issue:5 Volume:60 Page:2354-2372
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Sci.

Author:

Andrade Mario Henrique Murad Leite¹^ORCID,Fernandes Filho Claudio Carlos²^ORCID,Fernandes Maiara Oliveira²,Bastos Abel Jamir Ribeiro³,Guedes Marcio Lisboa⁴,Marçal Tiago de Souza²^ORCID,Gonçalves Flavia Maria Avelar²,Pinto Cesar Augusto Brasil Pereira²,Zotarelli Lincoln¹

Affiliation:

1. Horticultural Sciences Department University of Florida Gainesville FL 32603 USA

2. Department of Biology Universidade Federal de Lavras Lavras MG 37200000 Brazil

3. Agronomy Department Universidade Federal de Viçosa Viçosa MG 36570900 Brazil

4. Agronomy Department Universidade Federal de Goiás Goiânia GO 74690900 Brazil

Funder

University of Florida

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20226

Reference43 articles.

1. A New Look at the Statistical Model Identification

2. Can spatial modeling substitute for experimental design in agricultural experiments?;Borges A.;Crop Science,2018

3. Review and Analysis of Limitations in Ways to Improve Conventional Potato Breeding

4. Spatial Analysis of Field Experiments

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1. Evaluating the impact of modeling the family effect for clonal selection in potato-breeding programs;Frontiers in Plant Science;2023-10-30

2. A spatial-based approach applied to early selection stages in a forage breeding program;Euphytica;2023-05-02

3. Evaluation of finger millet (Eleusine coracana (L.) Gaertn.) in multi-environment trials using enhanced statistical models;PLOS ONE;2023-02-01

4. Bioenergy elephant grass genotype selection leveraged by spatial modeling of conventional and high-throughput phenotyping data;Journal of Cleaner Production;2022-08

5. Spatial variability in evaluation experiments of corn genotypes in the state of Mato Grosso do Sul, Brazil;Acta Scientiarum. Agronomy;2022-06-29

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