Germination T50 is the time at which 50% of the viable seeds in an experiment have germinated. One approach to calculate T50 values is to use Coolbear et al. (1984) formula modified by Farooq et al.(2005).
where N is the final number of germinating seeds and nj and ni are the cumulative number of seeds germinated by adjacent counts at times tj and ti , respectively, when ni < N/2 < nj. In essence, this formula identifies the midpoint of the cumulative germination sigmoidal curve, where the slope is steepest.
coolbear()
requires a vector of cumulative germination,
a vector of the dates or times at which these germinations were
recorded, and the total number of viable seeds in the experiment.
total_viable_seeds<-25
time_germination_recorded<-c(seq(1,12,1)) #germination scored daily for 12 days
cumulative_germination<-c(0,0,0,0,1,3,6,7,15,16,23,25)
coolbear(time_germination_recorded,cumulative_germination,total_viable_seeds)
#> [1] 8.6875
If T50 can’t be calculated (e.g. not enough seeds germinated) the function will output NA. ‘coolbear()’ can efficiently be used within a loop to calculate T50 of several experiments at a time. Given the following germination experiment results (including a row with final viability):
germination_results<-data.frame(days=c(seq(1,12,1)),
exp1=c(0,0,0,0,0,0,0,9,9,9,9,9),
exp2=c(0,2,5,6,7,12,16,25,25,25,25,25),
exp3=c(0,0,0,10,15,20,25,26,27,28,28,30))
germination_results
#> days exp1 exp2 exp3
#> 1 1 0 0 0
#> 2 2 0 2 0
#> 3 3 0 5 0
#> 4 4 0 6 10
#> 5 5 0 7 15
#> 6 6 0 12 20
#> 7 7 0 16 25
#> 8 8 9 25 26
#> 9 9 9 25 27
#> 10 10 9 25 28
#> 11 11 9 25 28
#> 12 12 9 25 30
coolbear()
can easily be implemented like:
for (col in colnames(germination_results)[-1]) {
T50<-coolbear(day=germination_results$days,
cumulative=germination_results[[col]],
n=25)
print(paste(col,"- T50:", T50))
}
#> [1] "exp1 - T50: NA"
#> [1] "exp2 - T50: 6.125"
#> [1] "exp3 - T50: 4.5"
Note the function has been feed with a fixed number of viable seeds, but this can be modified to be a vector to adapt for different viabilities across experiments and replicates