Stability Indices to Deciphering the Genotype-by-Environment Interaction (GEI) Effect: An Applicable Review for Use in Plant Breeding Programs
Experiments measuring the interaction between genotypes and environments measure the spatial (e.g., locations) and temporal (e.g., years) separation and/or combination of these factors. The genotype-by-environment interaction (GEI) is very important in plant breeding programs. Over the past six deca...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Plants |
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| Online Access: | https://www.mdpi.com/2223-7747/11/3/414 |
| _version_ | 1797485392166912000 |
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| author | Alireza Pour-Aboughadareh Marouf Khalili Peter Poczai Tiago Olivoto |
| author_facet | Alireza Pour-Aboughadareh Marouf Khalili Peter Poczai Tiago Olivoto |
| author_sort | Alireza Pour-Aboughadareh |
| collection | DOAJ |
| description | Experiments measuring the interaction between genotypes and environments measure the spatial (e.g., locations) and temporal (e.g., years) separation and/or combination of these factors. The genotype-by-environment interaction (GEI) is very important in plant breeding programs. Over the past six decades, the propensity to model the GEI led to the development of several models and mathematical methods for deciphering GEI in multi-environmental trials (METs) called “stability analyses”. However, its size is hidden by the contribution of improved management in the yield increase, and for this reason comparisons of new with old varieties in a single experiment could reveal its real size. Due to the existence of inherent differences among proposed methods and analytical models, it is necessary for researchers that calculate stability indices, and ultimately select the superior genotypes, to dissect their usefulness. Thus, we have collected statistics, as well as models and their equations, to explore these methods further. This review introduces a complete set of parametric and non-parametric methods and models with a selection pattern based on each of them. Furthermore, we have aligned each method or statistic with a matched software, macro codes, and/or scripts. |
| first_indexed | 2024-03-09T23:19:05Z |
| format | Article |
| id | doaj.art-f847dba695734ada979951981302ec6d |
| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-09T23:19:05Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Plants |
| spelling | doaj.art-f847dba695734ada979951981302ec6d2023-11-23T17:31:37ZengMDPI AGPlants2223-77472022-02-0111341410.3390/plants11030414Stability Indices to Deciphering the Genotype-by-Environment Interaction (GEI) Effect: An Applicable Review for Use in Plant Breeding ProgramsAlireza Pour-Aboughadareh0Marouf Khalili1Peter Poczai2Tiago Olivoto3Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj 31587-77871, IranDepartment of Biotechnology and Plant Breeding, Payame Noor University, Tehran 14556-43183, IranBotany Unit, Finnish Museum of Natural History, University of Helsinki, P.O. Box 7, FI-00014 Helsinki, FinlandDepartment of Plant Sciences, Federal University of Santa Catarina, Florianópolis 88034-000, SC, BrazilExperiments measuring the interaction between genotypes and environments measure the spatial (e.g., locations) and temporal (e.g., years) separation and/or combination of these factors. The genotype-by-environment interaction (GEI) is very important in plant breeding programs. Over the past six decades, the propensity to model the GEI led to the development of several models and mathematical methods for deciphering GEI in multi-environmental trials (METs) called “stability analyses”. However, its size is hidden by the contribution of improved management in the yield increase, and for this reason comparisons of new with old varieties in a single experiment could reveal its real size. Due to the existence of inherent differences among proposed methods and analytical models, it is necessary for researchers that calculate stability indices, and ultimately select the superior genotypes, to dissect their usefulness. Thus, we have collected statistics, as well as models and their equations, to explore these methods further. This review introduces a complete set of parametric and non-parametric methods and models with a selection pattern based on each of them. Furthermore, we have aligned each method or statistic with a matched software, macro codes, and/or scripts.https://www.mdpi.com/2223-7747/11/3/414genotype-by-environment interaction (GEI)stabilityGGE biplotAMMI modeldynamic concept |
| spellingShingle | Alireza Pour-Aboughadareh Marouf Khalili Peter Poczai Tiago Olivoto Stability Indices to Deciphering the Genotype-by-Environment Interaction (GEI) Effect: An Applicable Review for Use in Plant Breeding Programs Plants genotype-by-environment interaction (GEI) stability GGE biplot AMMI model dynamic concept |
| title | Stability Indices to Deciphering the Genotype-by-Environment Interaction (GEI) Effect: An Applicable Review for Use in Plant Breeding Programs |
| title_full | Stability Indices to Deciphering the Genotype-by-Environment Interaction (GEI) Effect: An Applicable Review for Use in Plant Breeding Programs |
| title_fullStr | Stability Indices to Deciphering the Genotype-by-Environment Interaction (GEI) Effect: An Applicable Review for Use in Plant Breeding Programs |
| title_full_unstemmed | Stability Indices to Deciphering the Genotype-by-Environment Interaction (GEI) Effect: An Applicable Review for Use in Plant Breeding Programs |
| title_short | Stability Indices to Deciphering the Genotype-by-Environment Interaction (GEI) Effect: An Applicable Review for Use in Plant Breeding Programs |
| title_sort | stability indices to deciphering the genotype by environment interaction gei effect an applicable review for use in plant breeding programs |
| topic | genotype-by-environment interaction (GEI) stability GGE biplot AMMI model dynamic concept |
| url | https://www.mdpi.com/2223-7747/11/3/414 |
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