When you looked at the CV of the yield component data including height is very low compared to the grain yield, then it is very difficult to generate data that relate final yield data with height for example. This is due to subjectivity of the researchers! Is it not better to fix at office where to take the plant sample ( plant height ) ?
I have experience with big-size data of rice. I took yield and yield components including plant height data both at the field (at the dry condition) and office lab. So you can take a random or prefix sampling for yield component data of big cereals like maize, but precision will be reduced due to fixing or reducing sample size.
The data needs to be reviewed
Check the normality of the data
If the coefficient of variation is high and the F-test is significant, especially the level of one percent is not a problem
I can help you if needed
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