I'm a PhD student at the University of São Paulo, Brazil, and I'm conducting experiments with multispectral analysis of soybean seeds.

I have reflectance data for 8 different soybean seed samples, whose data were obtained from 19 spectral wavelengths. I want to relate these data to the test data of: (i) germination (percentage of dead seeds, normal and abnormal seedlings), (ii) seedling image analysis (vigor index, developmental uniformity and seedling length) , (iii) tetrazolium (viability percentage, vigor and dead seeds).   Note: For each test, eight soybean seed lots were formed and used with different levels (0 to 14%) of immature seeds.

The tests were conducted in a completely randomized design with eight seed lots, each lot divided into 4 replications of 50 seeds.

So which statistic is most appropriate for tying multispectral data for each test conducted later?


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.