Description Usage Arguments Details Value References Examples
Compute the Peak value (\mjseqnPV) or Emergence Energy (\mjseqnEE) \insertCiteczabator_germination_1962,bonner_ideal_1967germinationmetrics and Germination value (\mjseqnGV) \insertCiteczabator_germination_1962,djavanshir_germination_1976,brown_representing_1988germinationmetrics. \loadmathjax
1 2 3 4 5 6 7 8 9 10 11 
germ.counts 
Germination counts at each time interval. Can be partial
or cumulative as specified in the argument 
intervals 
The time intervals. 
total.seeds 
Total number of seeds. 
partial 
logical. If 
method 
The method for computing germination value. Either

from.onset 
logical. If 
k 
Constant (See Details). Default is 10. 
Peak value (\mjseqnPV) is the maximum quotient obtained by dividing successive cumulative germination values by the relevant incubation time \insertCiteczabator_germination_1962germinationmetrics.
\mjsdeqnPV = \max\left ( \fracG_1T_1,\fracG_2T_2,\cdots \fracG_kT_k \right )
Where, \mjseqnT_i is the time from the start of the experiment to the \mjseqnith interval, \mjseqnG_i is the cumulative germination percentage in the \mjseqnith time interval, and \mjseqnk is the total number of time intervals.
It represents the mean daily germination of the most vigorous component of the seed lot, and is a mathematical expression of the break, or shoulder, of a typical sigmoid germination curve \insertCitedjavanshir_germination_1976germinationmetrics. It is the accumulated number of seeds germinated at the point on the germination curve at which the rate of germination starts to decrease. It is also described as Emergence energy \insertCitebonner_ideal_1967germinationmetrics.
For daily germination counts, germination value (\mjseqnGV) is computed as follows \insertCiteczabator_germination_1962germinationmetrics.
\mjsdeqnGV = PV \times MDG
Where, \mjseqnPV is the peak value, and \mjseqnMDG is the mean daily germination percentage from the onset of germination.
Germination value (\mjseqnGV) can also be computed for other time intervals of successive germination counts, by replacing \mjseqnMDG with the mean germination percentage per unit time (\mjseqn\overlineGP).
A new estimation of germination value was given by \insertCitedjavanshir_germination_1976;textualgerminationmetrics as follows.
\mjsdeqnGV = \frac\sum DGSN \times GP \times c
Where, \mjseqnDGS is the daily germination speed computed by dividing cumulative germination percentage by the number of days since the onset of germination, \mjseqnN is the frequency or number of DGS calculated during the test, \mjseqnGP is the germination percentage expressed over 100, and \mjseqnc is a constant. The value of \mjseqnc is decided on the basis of average daily speed of germination (\mjseqn\frac\sum DGSN). If it is less than 10, then \mjseqnc value of 10 can be used and if it is more than 10, then value of 7 or 8 can be used for \mjseqnc.
For both methods of computing \mjseqnGV, only the duration from the onset
of germination is considered by default. Alternatively, modified \mjseqnGV
(\mjseqnGV_mod), where the entire duration from the beginning of the test
is considered can be obtained by using the argument from.onset = FALSE
\insertCitebrown_representing_1988germinationmetrics.
A list with the following components:
Germination Value 
The germination value 
Calculations 
The data frame of calculations. 
testend 
The end of test value (Only for method 
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30  x < c(0, 0, 34, 40, 21, 10, 4, 5, 3, 5, 8, 7, 7, 6, 6, 4, 0, 2, 0, 2)
y < c(0, 0, 34, 74, 95, 105, 109, 114, 117, 122, 130, 137, 144, 150,
156, 160, 160, 162, 162, 164)
int < 1:length(x)
total.seeds = 200
# From partial germination counts
#
PeakValue(germ.counts = x, intervals = int, total.seeds = 200)
GermValue(germ.counts = x, intervals = int, total.seeds = 200,
method = "czabator")
GermValue(germ.counts = x, intervals = int, total.seeds = 200,
method = "dp", k = 10)
GermValue(germ.counts = x, intervals = int, total.seeds = 200,
method = "czabator", from.onset = FALSE)
GermValue(germ.counts = x, intervals = int, total.seeds = 200,
method = "dp", k = 10, from.onset = FALSE)
# From cumulative germination counts
#
PeakValue(germ.counts = y, interval = int, total.seeds = 200,
partial = FALSE)
GermValue(germ.counts = y, intervals = int, total.seeds = 200,
partial = FALSE, method = "czabator")
GermValue(germ.counts = y, intervals = int, total.seeds = 200,
partial = FALSE, method = "dp", k = 10)
GermValue(germ.counts = y, intervals = int, total.seeds = 200,
partial = FALSE, method = "czabator", from.onset = FALSE)
GermValue(germ.counts = y, intervals = int, total.seeds = 200,
partial = FALSE, method = "dp", k = 10, from.onset = FALSE)

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