Bear with me while I do my best to explain my problem. Briefly; I am testing whether acclimating plants to low levels of salt can create a tolerance in their offspring, over 3 generations. However, in my first generation the plants died before setting seed. See below:
Gen 1: high level of salt, died without setting seed.
Gen 2: medium level of salt, survived and set seed.
Gen 3: identical salt level to Gen 1; testing to see whether an acclimated parent plant could provide a tolerance.
In each generation there are 128 plants overall with 4 treatments (32 in each treatment). However, for half of the first generation and most of the third generation I have masses of missing data where the plants either died or failed to germinate.
I have height, weight, flower number and 5 points of chlorophyll fluorescence as dependent variables, with time and salt amount as independent. With 12 data points in each generation, repeated measures one-way ANOVA seems to be the best option but with so much data missing, would this not affect the output?
Thanks for your time.