Environmental stratification in trials of unbalanced multiyear soybean (Glycine max (l.) Merril) via the integration of GGE Biplot graphs and networks of environmental similarity-Reference-Cited by-同舟云学术

Environmental stratification in trials of unbalanced multiyear soybean (Glycine max (l.) Merril) via the integration of GGE Biplot graphs and networks of environmental similarity

Published:2022-05-13 Issue:6 Volume:218 Page:
ISSN:0014-2336
Container-title:Euphytica
language:en
Short-container-title:Euphytica

Author:

Rodrigues Fernanda Cupertino^ORCID,Silva Francisco Charles Santos,Carneiro Pedro Crescêncio Souza,Peternelli Luiz Alexandre,Bhering Leonardo Lopes,da Silva Felipe Lopes

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/s10681-022-02994-1.pdf

Reference23 articles.

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2. Cruz CD (2013) GENES–GENES—a software package for analysis in experimental statistics and quantitative genetics. Acta Scientiarum—Agronomy 35(3):271–276. https://doi.org/10.4025/actasciagron.v35i3.21251

3. Cruz CD, Regazzi AJ (2007) Modelos Biométricos Aplicados ao Melhoramento Genético, 4th ed. Editora UFV

4. Dalló SC, Zdziarski AD, Woyann LG, Milioli AS, Zanella R, Conte J, Benin G (2019) Across year and year-by-year GGE biplot analysis to evaluate soybean performance and stability in multi-environment trials. Euphytica 215(6):1–12. https://doi.org/10.1007/s10681-019-2438-x

5. da Silva KJ, Teodoro PE, da Silva MJ, Teodoro LPR, Cardoso MJ, Godinho VDPC, Mota JH, Simon GA, Tardin FD, da Silva AR, Guedes FL, de Menezes CB (2021) Identification of mega-environments for grain sorghum in Brazil using GGE biplot methodology. Agron J 113(4):3019–3030. https://doi.org/10.1002/agj2.20707

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