Pour-Aboughadareh Alireza, Yousefian Mohsen, Moradkhani Hoda, Poczai Peter, Siddique Kadambot H M
Department of Agronomy and Plant Breeding College of Agriculture and Natural Resources University of Tehran Karaj Iran.
Dr. Hashtroudi Pre-University Center Tehran Iran.
Appl Plant Sci. 2019 Jan 15;7(1):e01211. doi: 10.1002/aps3.1211. eCollection 2019 Jan.
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.
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 ( ), Plaisted's GE variance component ( ), Wricke's ecovalence stability index ( ), regression coefficient ( ), deviation from regression ( ), Shukla's stability variance ( ), environmental coefficient of variance ( ), Nassar and Huhn's statistics ( , ), Huhn's equation ( and ), Thennarasu's non-parametric statistics ( ), 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.
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/.
获取改良作物品种是农业成功的基础。新品种必须具备通过数量和质量性状决定的更高产量。诸如繁殖适合度、寿命、高度、重量、产量和抗病性等数量性状会发生基因型与环境的相互作用(GEI)。可以使用GEI分析来分析基因型在一系列环境中的稳定性。GEI分析包括使用参数模型和非参数模型的单变量和多变量分析。
STABILITYSOFT程序是基于JavaScript和R的在线软件,用于计算各种作物性状的几个单变量参数和非参数统计量。这些统计量包括普莱斯特德和彼得森的平均方差分量( )、普莱斯特德的GE方差分量( )、里克的等价稳定性指数( )、回归系数( )、离回归偏差( )、舒克拉的稳定性方差( )、环境方差系数( )、纳萨尔和胡恩的统计量( , )、胡恩方程( 和 )、森纳拉苏的非参数统计量( )以及康的秩和。这些统计量在稳定基因型的鉴定中很重要;因此,该程序可以针对给定数据集在多个环境试验中比较和选择基因型。该程序支持跨环境的重复数据和矩阵数据类型。在几种作物上测试了该软件所得结果的准确性。
这款新软件为处理大量定量数据的植物科学家、农学家和育种家提供了一个用户友好的界面,能够准确估计稳定性统计量。该软件还可以显示基因型的排名模式,并通过热图描述不同统计量与产量表现之间的关联。该软件可在https://mohsenyousefian.com/stabilitysoft/获取。