STABILITYSOFT: a new online program to calculate parametric and non-parametric stability statistics for crop traits
| Autor: | Hoda Moradkhani, Alireza Pour-Aboughadareh, Kadambot H. M. Siddique, Mohsen Yousefian, Péter Poczai |
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| Přispěvatelé: | Finnish Museum of Natural History, Embryophylo, Doctoral Programme in Plant Sciences |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
0301 basic medicine ranking method X ENVIRONMENT INTERACTION Plant Science Biology quantitative traits 010603 evolutionary biology 01 natural sciences 03 medical and health sciences Linear regression Statistics Range (statistics) PHENOTYPIC STABILITY RANK-SUM METHOD ADAPTATION Ecology Evolution Behavior and Systematics Parametric statistics 2. Zero hunger STABILITYSOFT Nonparametric statistics Univariate adaptability Variance (accounting) Software Notes PERFORMANCE 113 Computer and information sciences YIELD STABILITY GENOTYPE Data set Software Note 030104 developmental biology Ranking TESTS 1181 Ecology evolutionary biology |
| Zdroj: | Applications in Plant Sciences |
| Popis: | Premise of the study Access to improved crop cultivars is the foundation for successful agriculture. New cultivars must have improved yields that are determined by quantitative and qualitative traits. Genotype-by-environment interactions (GEI) occur for quantitative traits such as reproductive fitness, longevity, height, weight, yield, and disease resistance. The stability of genotypes across a range of environments can be analyzed using GEI analysis. GEI analysis includes univariate and multivariate analyses with both parametric and non-parametric models. Methods and results The program STABILITYSOFT is online software based on JavaScript and R to calculate several univariate parametric and non-parametric statistics for various crop traits. These statistics include Plaisted and Peterson's mean variance component (θ i ), Plaisted's GE variance component (θ (i) ), Wricke's ecovalence stability index (W i 2 ), regression coefficient (b i ), deviation from regression (S di 2 ), Shukla's stability variance (σ i 2 ), environmental coefficient of variance (CV i ), Nassar and Huhn's statistics (S (1) , S (2) ), Huhn's equation (S (3) and S (6) ), Thennarasu's non-parametric statistics (NP (i) ), and Kang's rank-sum. These statistics are important in the identification of stable genotypes; hence, this program can compare and select genotypes across multiple environment trials for a given data set. This program supports both the repeated data across environments and matrix data types. The accuracy of the results obtained from this software was tested on several crop plants. Conclusions This new software provides a user-friendly interface to estimate stability statistics accurately for plant scientists, agronomists, and breeders who deal with large volumes of quantitative data. This software can also show ranking patterns of genotypes and describe associations among different statistics with yield performance through a heat map plot. The software is available at https://mohsenyousefian.com/stabilitysoft/. |
| Databáze: | OpenAIRE |
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