Pesticide usage in Scotland: soft fruit 2020

This publication presents information from a survey of pesticide use on soft fruit crops grown in Scotland during 2020.


Appendix 5 – Standard errors

The figures presented in this report are produced from surveying a sample of holdings rather than a census of all the holdings in Scotland. Therefore the figures are estimates of the total pesticide use for Scotland and should not be interpreted as exact. To give an idea of the precision of estimates, the report includes relative standard errors (RSE) (Table 35). Standard errors are produced using the raising factors. An overall variance is calculated by summing the variance estimates for individual strata (region and size group) multiplied by the square of their raising factors. These variance estimates include a finite population correction. The overall standard error is calculated from the overall variance by taking its square root. This method of standard estimation was implemented as it is both relatively straightforward and has advantages over ratio estimator methods when within-strata sample sizes are small.

Standard errors are expressed as percentage relative standard errors (Table 35) for both total pesticide use by area treated and for weight applied. Larger relative standard errors mean that the estimates are less precise. A relative standard error of 0 per cent would be achieved by a census. A relative standard error of 100 per cent indicates that the error in the survey is of the same order as the measurement. Relative standard errors may be reduced with larger sample sizes. However, larger relative standard errors can also result from greater variability in pesticide use among holdings.

The RSE for estimates of total pesticide use on soft fruit crops (protected and non-protected) was 12 per cent for area and 13 per cent for quantity (Table 35).

The RSE for constituent protected and non-protected crop groups varied from 12 to 71 per cent for area and 17 to 69 per cent for weight (Table 36), varying with sample size and uniformity of pesticide regime encountered. However, due to insufficient data, RSE values could not be calculated for all strata and overall RSE values for protected and non-protected soft fruit crops should be treated with caution.

Table 35 Relative standard errors for total soft fruit - 2020, Relative standard errors ( RSE) for the area treated (ha) with pesticide and for weight of active substance (kg) applied
Crops Area SE (%) Weight SE (%)
Raspberry 24 20
Strawberry 14 20
Blackcurrant(1) 25 26
Other soft fruit 30 28
All soft fruit crops 12 13

Table 36 Relative standard errors for protected and non-protected soft fruit crops - 2020

Relative standard errors (RSE) for the area treated (ha) with pesticide and for weight of active substance (kg) applied

Crops Area SE (%) Weight SE (%)
Protected raspberry(1) 24 17
Protected strawberry 12 19
Protected other soft fruit 29 25
Non-protected raspberry(2) NC NC
Non-protected strawberry(2) NC NC
Non-protected blackcurrant(1) 23 24
Non-protected other soft fruit(1) 71 69
All non-protected crops(1) 32 36
All protected crops 14 16

(1) For these crops standard errors could not be calculated for all strata due to insufficient data in the sample, as these strata have not been used in the aggregate totals for the region the overall RSE values should be treated with caution

(2) Standard errors could not be calculated (NC) for non-protected raspberries and non-protected strawberries because there were too few active substances recorded. Therefore, estimates for these crops should be treated with caution.

Contact

Email: psu@sasa.gov.scot

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