Quantifies the chill accumulation by means of converting temperatures to chill-units.

cherry_model(x, total = TRUE)

Arguments

x

Vector containing temperature values (Celsius-degree).

total

TRUE Shows the total value of accumulation, FALSE shows the value of chill-unit for each temperature (TRUE is default).

Value

The function returns values the chill-units for each temperature of vector (Total = FALSE), or returns the chill-units accumulation (Total = TRUE).

Details

The model is based on chill-units, where 1 chill-unit is when the tree is exposure between -2.1°C and 7°C. When the temperature is above 18°C the chill-unit is -1. The chill-units accumulation is 0 when occurs temperature between 14°C and 16°C.

Note

This model was make for quantifying the chill accumulation rates to 'Sweetheart' Sweet Cherry. We aren't recommended the application for others species.

References

GUAK, Sunghee & NEILSEN, Denise. (2013). Chill Unit Models for Predicting Dormancy Completion of Floral Buds in Apple and Sweet Cherry.

Examples

x <- rnorm(500, 8, 7) cherry_model(x)
#> [1] 183
cherry_model(x, FALSE)
#> [1] 1.00 0.50 0.00 0.75 0.25 -0.50 0.00 1.00 1.00 1.00 1.00 0.25 #> [13] -1.00 0.00 0.25 0.00 1.00 0.75 0.25 1.00 0.25 0.25 1.00 0.00 #> [25] -1.00 0.75 1.00 0.75 1.00 0.00 0.00 0.50 0.50 -1.00 0.50 0.75 #> [37] 0.00 1.00 1.00 0.00 0.50 1.00 0.75 1.00 0.25 -1.00 0.50 0.25 #> [49] 0.50 0.00 0.00 1.00 1.00 0.50 0.50 0.25 0.00 -1.00 1.00 0.50 #> [61] 0.00 1.00 0.00 1.00 1.00 1.00 0.00 0.50 0.25 0.00 0.00 0.50 #> [73] -0.50 0.50 -0.50 0.25 0.25 0.75 0.50 0.75 -1.00 -0.50 0.00 0.25 #> [85] 1.00 0.00 0.00 1.00 0.25 1.00 0.25 0.00 0.00 0.75 0.25 -1.00 #> [97] 1.00 0.00 -0.50 1.00 1.00 1.00 1.00 1.00 0.00 1.00 1.00 1.00 #> [109] 0.50 0.00 1.00 1.00 0.50 1.00 0.25 -1.00 0.25 0.00 0.50 0.00 #> [121] -1.00 0.25 -0.50 0.25 0.50 0.50 0.25 1.00 1.00 0.50 1.00 0.00 #> [133] 0.50 1.00 1.00 0.25 1.00 1.00 0.00 0.50 1.00 1.00 -1.00 0.00 #> [145] 0.00 -0.50 1.00 0.25 0.00 -1.00 0.25 0.50 1.00 1.00 0.00 0.25 #> [157] 0.50 1.00 0.00 0.00 0.00 0.00 1.00 0.50 0.00 1.00 1.00 0.25 #> [169] 1.00 0.25 0.75 1.00 -0.50 0.00 0.00 0.00 1.00 1.00 1.00 -1.00 #> [181] 1.00 1.00 0.00 -1.00 0.25 -1.00 1.00 -1.00 0.00 0.00 0.00 1.00 #> [193] 1.00 1.00 -1.00 0.50 0.25 0.00 -0.50 0.25 1.00 -0.50 0.75 1.00 #> [205] 0.00 0.50 1.00 1.00 0.00 -1.00 1.00 1.00 0.00 1.00 0.25 0.50 #> [217] 0.25 0.25 0.00 0.00 1.00 0.75 0.50 0.50 1.00 -0.50 0.25 1.00 #> [229] 0.25 0.00 0.50 1.00 0.00 0.00 0.50 1.00 1.00 0.25 -0.50 0.00 #> [241] 1.00 -0.50 0.00 -0.50 1.00 -0.50 0.50 0.75 0.25 0.50 1.00 1.00 #> [253] 1.00 1.00 -1.00 1.00 0.25 1.00 1.00 -1.00 0.50 1.00 0.75 1.00 #> [265] 1.00 0.00 -1.00 1.00 0.75 0.50 0.50 0.00 0.75 0.50 0.50 -1.00 #> [277] -1.00 0.25 0.00 1.00 0.00 1.00 0.25 0.25 0.25 0.00 1.00 0.50 #> [289] -0.50 1.00 1.00 1.00 1.00 0.25 -1.00 0.00 1.00 0.00 0.25 -1.00 #> [301] 1.00 1.00 0.00 -0.50 0.50 1.00 0.25 -1.00 -1.00 0.00 1.00 1.00 #> [313] 0.25 0.00 0.25 0.50 -0.50 1.00 1.00 0.50 0.25 0.25 -1.00 0.50 #> [325] -1.00 0.00 0.25 -0.50 0.25 0.25 0.00 0.00 -0.50 1.00 0.25 -0.50 #> [337] 1.00 1.00 0.50 0.00 1.00 -1.00 0.75 1.00 1.00 -1.00 0.75 1.00 #> [349] 0.75 0.00 1.00 1.00 0.25 -1.00 -1.00 -1.00 1.00 -1.00 1.00 1.00 #> [361] 1.00 0.00 0.00 -1.00 0.75 0.00 0.00 1.00 0.00 1.00 0.50 1.00 #> [373] 1.00 1.00 1.00 -0.50 0.25 1.00 0.75 -0.50 0.25 1.00 0.75 0.50 #> [385] 0.25 0.50 0.50 0.00 1.00 0.25 1.00 0.00 -1.00 1.00 0.50 -1.00 #> [397] 1.00 -0.50 1.00 1.00 -1.00 1.00 1.00 0.00 0.00 1.00 0.25 -1.00 #> [409] 1.00 0.00 0.75 1.00 1.00 1.00 -0.50 0.25 0.25 0.00 0.00 0.50 #> [421] 0.25 1.00 0.00 1.00 0.00 0.00 1.00 0.00 0.50 0.00 0.25 1.00 #> [433] 0.25 -0.50 1.00 1.00 1.00 1.00 0.50 0.00 1.00 0.25 1.00 1.00 #> [445] 0.25 1.00 1.00 1.00 -1.00 0.25 -1.00 0.25 1.00 0.00 0.75 0.00 #> [457] 0.50 1.00 -0.50 1.00 0.00 1.00 -1.00 1.00 1.00 1.00 1.00 0.75 #> [469] -0.50 0.25 1.00 1.00 1.00 0.00 1.00 1.00 1.00 1.00 0.25 1.00 #> [481] 1.00 0.25 0.00 0.00 -1.00 1.00 0.25 0.00 -1.00 0.00 0.50 1.00 #> [493] 1.00 1.00 1.00 1.00 1.00 0.25 1.00 -0.50