STABILITYSOFT : A new online program to calculate parametric and non‐parametric stability statistics for crop traits
Open Access
- 15 January 2019
- journal article
- editorial
- Published by Wiley in Applications in Plant Sciences
- Vol. 7 (1) , e01211
Abstract
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/ .Keywords
This publication has 22 references indexed in Scilit:
- Additive Main Effect and Multiplicative Interaction Analysis of National Turfgrass Performance TrialsCrop Science, 2002
- Sasg × estab: A sas program for computing genotype × environment stability statisticsAgronomy Journal, 2000
- Stability Analysis Using the SAS SystemAgronomy Journal, 1999
- Studies on Estimation of Phenotypic Stability: Tests of Significance for Nonparametric Measures of Phenotypic StabilityBiometrics, 1987
- YIELD STABILITY STUDIES IN SHORT-SEASON MAIZE. I. A DESCRIPTIVE METHOD FOR GROUPING GENOTYPESCanadian Journal of Plant Science, 1978
- Some statistical aspects of partitioning genotype-environmental components of variabilityHeredity, 1972
- Stability Parameters for Comparing Varieties1Crop Science, 1966
- The analysis of adaptation in a plant-breeding programmeAustralian Journal of Agricultural Research, 1963
- A technique for evaluating the ability of selections to yield consistently in different locations or seasonsAmerican Journal of Potato Research, 1959
- VII. Note on regression and inheritance in the case of two parentsProceedings of the Royal Society of London, 1895