Description Usage Arguments Value Examples
View source: R/evolution_ovules.R
Auxiliary function to calculate the penalisation parameter "eff" for subsequent visits in dependence of the parameters:
1 | evolution_ovules(svd, ovu, self, eff, x)
|
svd |
Single Visit Pollen Deposition of different bee species on a certain crop obtained from data measured in the field |
ovu |
mean number of ovules of the inspected crop |
self |
number of pollen grains present on the stigmas before first bee visit to account for selfing (default = 0) |
eff |
(ovu-self)/(svd + ovu - self) minimum efficiency to achieve full fertilization |
x |
number of accumulated visits |
the proportion of fertilized ovules after x visits
to be used in curve_ovule_parameters.R function
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | data_crop <- curve_ovule_parameters("Blueberry",0)
i=14 # Visitor: Colletes sp.
svd <- data_crop$svd[i]
ovu <- data_crop$ovu[i]
self <- data_crop$self[i]
example_1 <- tibble(visits=c(0:60),
perc_fecundated_ovules = evolution_ovules(svd,ovu,self,1,c(0:60)),
efficiency = paste0("eff. = 1.00"))
ggplot(example_1, aes(x=visits,y=perc_fecundated_ovules,color =efficiency))+
geom_point()+
geom_line()+
labs(x="Visits",y="Percentage of fecundated ovules",
color="Fertilization\n Efficiency",
title = data_crop$Species[i])
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