首页> 外文期刊>Applications in plant sciences. >STABILITYSOFT: A new online program to calculate parametric and non‐parametric stability statistics for crop traits
【24h】

STABILITYSOFT: A new online program to calculate parametric and non‐parametric stability statistics for crop traits

机译:STABILITYSOFT:一种新的在线程序,用于计算作物性状的参数和非参数稳定性统计数据

获取原文
       

摘要

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 sub i /sub), Plaisted's GE variance component ( θ sub (i) /sub), Wricke's ecovalence stability index ( W sub i /subsup 2 /sup), regression coefficient ( b sub i /sub), deviation from regression ( S sub di /subsup 2 /sup), Shukla's stability variance ( σ sub i /subsup 2 /sup), environmental coefficient of variance ( CV sub i /sub), Nassar and Huhn's statistics ( S sup (1) /sup, S sup (2) /sup), Huhn's equation ( S sup (3) /sup and S sup (6) /sup), Thennarasu's non‐parametric statistics ( NP sup (i) /sup), 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/ .
机译:研究前提获得改良的作物品种是成功农业的基础。新品种必须提高产量,这取决于数量和质量特征。基因型与环境之间的相互作用(GEI)发生于定量性状,例如生殖健康,寿命,身高,体重,产量和抗病性。可以使用GEI分析来分析基因型在各种环境中的稳定性。 GEI分析包括具有参数模型和非参数模型的单变量和多变量分析。方法和结果程序STABILITYSOFT是基于JavaScript和R的在线软件,用于计算各种作物性状的一些单变量参数和非参数统计。这些统计数据包括Plaisted和Peterson的平均方差分量(θ i ),Plaisted的GE方差分量(θ(i)),Wricke的生态价稳定性指数(W i < / sub> 2 ),回归系数(b i ),与回归的偏差(S di 2 ),舒克拉的稳定性方差(σ i 2 ),环境方差系数(CV i ),纳萨尔和休恩的统计量(S (1 ),S (2)),休恩方程(S (3)和S (6)),Thennarasu的非参数统计(NP (i))和Kang的秩和。这些统计数据对于鉴定稳定的基因型很重要。因此,该程序可以针对给定的数据集在多个环境试验中比较和选择基因型。该程序支持跨环境和矩阵数据类型的重复数据。从该软件获得的结果的准确性已在几种作物上进行了测试。结论该新软件提供了一个用户友好的界面,可为处理大量定量数据的植物科学家,农艺师和育种人员准确地估算稳定性统计数据。该软件还可以显示基因型的排名模式,并通过热图曲线描述不同统计数据与产量表现之间的关联。该软件位于https://mohsenyousefian.com/stabilitysoft/。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号