Check multivariate analysis

I would say yes if you are a good SAS programmer. This is what SAS was developed for. Contact SAS INSTITUTE, Cary, NC USA. I Would expect they know this stuff. Good luck, D Booth

Dear Bulo. I am a good SAS programmer and agronomic engineer too, if you send me your excel, dbf or cvs file, I could easily prepare SAS Code for this.

Khristian Edi Nugroho Soebandrija ,David Eugene Booth and Guillermo Enrique Ramos

I think, multivariate analysis is the best method to perform such analysis but, other than that, is there any methods to perform such type of analysis?

Thank you!

You may use a Manova Analysis, but several univariate Anova Analysis may be of complementary value too.

Guillermo Enrique Ramos

Thank you so much!

If you have discrete or any non normal variables, a manova only may be used by transforming the nonnormal data. Instead you may use a generalized linear model but it may require expert statistic advise.

Thank you so much Guillermo Enrique Ramos !

Dear Bulo

In the GLM procedure of SAS/STAT you may use the following for you requirement.

CLASS Site Rep Block Genotypes Line Tester Parents Cross Check;

...

MODEL SV= Site Rep(Site) Block(Rep) Genotypes Genotypes*Site

Line Line*Site Tester Tester*Site Line*Tester Line*Tester*Site

Parents Parents*Site Cross Cross*Site Check Check*Site;

The rest of your list (Cross Vs check, Cross Vs Check*Site, Cross Vs Parents,

Crosse Vs Parents*Site) I think that may require some dummy variables that will have to be build with more information.

I hope this help.