Bootstrap Method and Grain Yield Stability of Rice
Date Issued
2015
Date
2015
Author(s)
Lin, Chia-Hsing
Abstract
The stability analysis method which were adopted frequently divided into parametric statistics, such as the joint regression analysis; nonparametric statistics, such as the Nassar’s method, and the method needs to take comparison with the check, such as the superiority analysis. According to the different statistical principle and timing of usage, breeders will confused by the choice of analysis methods or feel difficult to identify the result correctly. Thus, this study find five stability analysis method from different statistical principles, involve Finlay and Wilkinson regression analysis, Nassr’s method, Kang’s method, Wilcoxon signed rank test, and superiority analysis; use three datasets of multiple environments trial practiced in Taiwan to identify the stability properties of the potential lines. We found that the results from different methods truly lead to different conclusion and generate the confusion. As a result, we get one thousand bootstrap samples from the environments combination to make a larger scale of datasets, then do the same analysis by five analysis methods. The result of stability analysis with bootstrap become similar, and have an easier-identified conclusion. Finally, this study discuss about the stability analysis as well and submit the suggestion of data analysis by currently multiple environments trial, expect can help the rice breeder to get the correct conclusion to improve the yield and quality of rice.
Subjects
multiple environments trial
stability analysis
bootstrap method
rice
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-104-R02621202-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):2c4cf470ddff32dc7c3cd50034795c64