Description Usage Arguments Details Value References Examples

Compute George's index \insertCitegeorge_influence_1961,tucker_estimating_1965,nichols_two_1968,chopraEffectSoilTemperature1980germinationmetrics, Timson's index or Timson's germination velocity index \insertCitegrose_laboratory_1958,timson_new_1965,lyonRapidMethodDetermining1966,chaudharyEffectTemperatureAssociated1970,negmEffectsEthyleneCarbon1978,brown_representing_1988,baskin_seeds_1998germinationmetrics and it's modifications by Labouriau \insertCiteranal_how_2006germinationmetrics and \insertCitekhan_effect_1984germinationmetrics. \loadmathjax

1 2 3 4 5 6 7 8 9 10 | ```
TimsonsIndex(
germ.counts,
intervals,
partial = TRUE,
total.seeds,
max,
modification = c("none", "labouriau", "khanungar")
)
GermRateGeorge(germ.counts, intervals, partial = TRUE, max)
``` |

`germ.counts` |
Germination counts at each time interval. Can be partial
or cumulative as specified in the argument |

`intervals` |
The time intervals. |

`partial` |
logical. If |

`total.seeds` |
Total number of seeds. |

`max` |
The maximum interval value up to which Timson's index/George's germination rate is to be computed. |

`modification` |
The modification to be applied. Either |

Timson's index \insertCitetimson_new_1965germinationmetrics is computed as follows \insertCitegrose_laboratory_1958,brown_representing_1988,baskin_seeds_1998germinationmetrics.

\mjsdeqn\Sigmak = \sum_i=1^kG_i

Where, \mjseqnG_i is the cumulative germination percentage in time interval \mjseqni and \mjseqnk is the total number of time intervals.

For example ten summation (\mjseqn\Sigma 10) is expressed as follows.

\mjsdeqn\Sigma10 = G_1+G_2+\cdots+G_10

Where \mjseqnG_1,G_2,\cdots G_10 are the cumulative germination percentage at day 1, 2, 3, \mjseqn\cdots, 10 respectively.

Similarly \mjseqn\Sigma 5 or \mjseqn\Sigma 20 can be estimated. For \mjseqn\Sigma 10, the value can range from 0 (no germination) to 1,000 (100% germination after 24 hours).

It is the progressive total of cumulative germination percentage recorded at specific intervals for a set period of time. It combines onset, rate and total percentage of germination and estimates the area under the cumulative germination percentage curve. It is same as the indices for area under time course curve of germination described by \insertCitelyonRapidMethodDetermining1966;textualgerminationmetrics as well as \insertCitenegmEffectsEthyleneCarbon1978;textualgerminationmetrics. It is also described as Emergence Rate Index (\mjseqnERI) by \insertCitechaudharyEffectTemperatureAssociated1970;textualgerminationmetrics.

\insertCitegoodchild_method_1971;textualgerminationmetrics, described the same in terms of partial germination percentage as follows.

\mjsdeqn\Sigmak = \sum_i=1^kg_i(k-j)

Where, \mjseqng_i is the germination (not cumulative, but partial germination) in time interval \mjseqni (\mjseqni varying from \mjseqn0 to \mjseqnk), \mjseqnk is the total number of time intervals, and \mjseqnj = i - 1.

Timson's index is equivalent to the Germination Energy Index \mjseqnGEI proposed by \insertCitegrose_laboratory_1958;textualgerminationmetrics.

As Timson's index is useful for comparison only when samples have similar germinabilities or final germination percentage, the following modification was suggested by Labouriau \insertCiteranal_how_2006germinationmetrics.

\mjsdeqn\Sigmak_mod = \frac\Sigma k\sum_i=1^kg_i

Here Timson's index (\mjseqn\Sigma k) is divided by the sum of partial germination percentages.

Similarly another modification was proposed by \insertCitekhan_effect_1984germinationmetrics, where Timson's index (\mjseqn\Sigma k) is divided by the total time period of germination (\mjseqnT_k).

\mjsdeqn\Sigmak_mod = \frac\Sigma kT_k

Timson's index is similar to the Germination Rate (\mjseqnGR) proposed by \insertCitegeorge_influence_1961;textualgerminationmetrics as follows \insertCitetucker_estimating_1965,nichols_two_1968germinationmetrics.

\mjsdeqnGR = \sum_i=1^kN_iK_i

Where \mjseqnN_i is the number of seeds germinated by \mjseqnith interval, \mjseqnK_i is the number of intervals(e.g. days) until the end of the test, and \mjseqnk is the total number of time intervals.

This index uses number of seeds germinated instead of germination percentage. It is also described as Emergence Rate Index (\mjseqnERI) by \insertCitechopraEffectSoilTemperature1980;textualgerminationmetrics.

So germination rate (\mjseqnGR) can also be described in terms of partial (\mjseqnN_i) and cumulative (\mjseqn\sum_j=1^iN_j) number of seeds germinated in each time interval (\mjseqni) as follows.

\mjsdeqnGR = \sum_i=1^k\sum_j=1^iN_j

\mjsdeqnGR = \sum_i=1^kN_i(k-j)

For `TimsonsIndex`

The value of Timson's index.

For `GermRateGeorge`

The value of George's germination rate.

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 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | ```
x <- c(0, 0, 0, 0, 4, 17, 10, 7, 1, 0, 1, 0, 0, 0)
y <- c(0, 0, 0, 0, 4, 21, 31, 38, 39, 39, 40, 40, 40, 40)
int <- 1:length(x)
# From partial germination counts
#----------------------------------------------------------------------------
# Wihout max specified
TimsonsIndex(germ.counts = x, intervals = int, total.seeds = 50)
TimsonsIndex(germ.counts = x, intervals = int, total.seeds = 50,
modification = "none")
TimsonsIndex(germ.counts = x, intervals = int, total.seeds = 50,
modification = "labouriau")
TimsonsIndex(germ.counts = x, intervals = int, total.seeds = 50,
modification = "khanungar")
GermRateGeorge(germ.counts = x, intervals = int)
# With max specified
TimsonsIndex(germ.counts = x, intervals = int, total.seeds = 50, max = 10)
TimsonsIndex(germ.counts = x, intervals = int, total.seeds = 50,
max = 10, modification = "none")
TimsonsIndex(germ.counts = x, intervals = int, total.seeds = 50,
max = 10, modification = "labouriau")
TimsonsIndex(germ.counts = x, intervals = int, total.seeds = 50,
max = 10, modification = "khanungar")
GermRateGeorge(germ.counts = x, intervals = int, max = 10)
GermRateGeorge(germ.counts = x, intervals = int, max = 14)
# From cumulative germination counts
#----------------------------------------------------------------------------
# Wihout max specified
TimsonsIndex(germ.counts = y, intervals = int, partial = FALSE,
total.seeds = 50)
TimsonsIndex(germ.counts = y, intervals = int, partial = FALSE,
total.seeds = 50,
modification = "none")
TimsonsIndex(germ.counts = y, intervals = int, partial = FALSE,
total.seeds = 50,
modification = "labouriau")
TimsonsIndex(germ.counts = y, intervals = int, partial = FALSE,
total.seeds = 50,
modification = "khanungar")
GermRateGeorge(germ.counts = y, intervals = int, partial = FALSE,)
# With max specified
TimsonsIndex(germ.counts = y, intervals = int, partial = FALSE,
total.seeds = 50, max = 10)
TimsonsIndex(germ.counts = y, intervals = int, partial = FALSE,
total.seeds = 50,
max = 10, modification = "none")
TimsonsIndex(germ.counts = y, intervals = int, partial = FALSE,
total.seeds = 50,
max = 10, modification = "labouriau")
TimsonsIndex(germ.counts = y, intervals = int, partial = FALSE,
total.seeds = 50,
max = 10, modification = "khanungar")
GermRateGeorge(germ.counts = y, intervals = int, partial = FALSE,
max = 10)
GermRateGeorge(germ.counts = y, intervals = int, partial = FALSE,
max = 14)
``` |

```
--------------------------------------------------------------------------------
Welcome to germinationmetrics version 0.1.4
# To know how to use this package type:
browseVignettes(package = 'germinationmetrics')
for the package vignette.
# To know whats new in this version type:
news(package='germinationmetrics')
for the NEWS file.
# To cite the methods in the package type:
citation(package='germinationmetrics')
# To suppress this message use:
suppressPackageStartupMessages(library(germinationmetrics))
--------------------------------------------------------------------------------
[1] 664
[1] 664
[1] 8.3
[1] 47.42857
[1] 332
[1] 344
[1] 344
[1] 4.410256
[1] 24.57143
[1] 172
[1] 332
[1] 664
[1] 664
[1] 8.3
[1] 47.42857
[1] 332
[1] 344
[1] 344
[1] 4.410256
[1] 24.57143
[1] 172
[1] 332
```

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