Environmental stratification in trials of unbalanced multiyear soybean (Glycine max (l.) Merril) via the integration of GGE Biplot graphs and networks of environmental similarity
Genotype × environment (GE) interaction can difficult soybean breeding programs to achieve the aim of more productive cultivars. Environment stratification is a way to circumvent this problem. However, multiyear data studies are difficult to work with, because they are, usually, unbalanced. GGE Bipl...
Main Authors: | Bhering, L.L (Author), Carneiro, P.C.S (Author), da Silva, F.L (Author), Peternelli, L.A (Author), Rodrigues, F.C (Author), Silva, F.C.S (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer Science and Business Media B.V.
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
The Application of GGE Biplot Analysis for Evaluat ng Test Locations and Mega-Environment Investigation of Cotton Regional Trials
by: Nai-yin XU, et al.
Published: (2014-09-01) -
GGE Biplot Analysis of Genotype × Environment Interaction and Yield Stability in Bambara Groundnut
by: Oluwaseyi Samuel Olanrewaju, et al.
Published: (2021-09-01) -
Comparação do GGE biplot-ponderado e AMMI- ponderado com outros modelos de interação genótipo x ambiente
by: Kuang Hongyu
Published: (2015) -
Comparação do GGE biplot-ponderado e AMMI- ponderado com outros modelos de interação genótipo x ambiente
by: Hongyu, Kuang
Published: (2015) -
GGE biplot analysis of sugar beet multi-environment trials
by: Ćurčić Živko, et al.
Published: (2017-01-01)