A spatial-based approach applied to early selection stages in a forage breeding program-Reference-Cited by-同舟云学术

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A spatial-based approach applied to early selection stages in a forage breeding program

Published:2023-05-02 Issue:6 Volume:219 Page:
ISSN:0014-2336
Container-title:Euphytica
language:en
Short-container-title:Euphytica

Author:

Ragalzi Celina M.^ORCID,de Oliveira Renato G.,Ribeiro Alessandra G.,Pereira Carlos H.,Jank Liana^ORCID,Santos Mateus F.^ORCID,Resende Rafael T.^ORCID

Funder

Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul

Publisher

Springer Science and Business Media LLC

Subject

Horticulture,Plant Science,Genetics,Agronomy and Crop Science

Link

https://link.springer.com/content/pdf/10.1007/s10681-023-03179-0.pdf

Reference42 articles.

1. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control 19(6):716–723. https://doi.org/10.1109/TAC.1974.1100705

2. Alemu T, Bahrndorff S, Pertoldi C, Hundera K, Alemayehu E, Ambelu A (2018) Development of a plant based riparian index of biotic integrity (RIBI) for assessing the ecological condition of highland streams in East Africa. Ecol Ind 87:77–85. https://doi.org/10.1016/j.ecolind.2017.12.032

3. Andrade MHML et al (2020) Accounting for spatial trends to increase the selection efficiency in potato breeding. Crop Sci 60:2354–2372. https://doi.org/10.1002/csc2.20226

4. Araus JL (2018) Translating high-throughput phenotyping into genetic gain. Trends Plant Sci 23:451–466

5. Araus JL, Cainrs JE (2014) Field high-throughput phenotyping: the new crop breeding frontier. Trand Plant Sci 19:52–61

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