Exploring the potential of computer vision analysis of pupae size dimorphism for adaptive sex sorting systems of various vector mosquito species

Table 4 Predicted values for the descriptive parameters of the sex sorting of the Ae. aegypti GSS strain simulated under different conditions

Sim.	Conditions	Group	μ_m	μ_f	σ_m	σ_f	SDI	SHI	Performance	Purity
-	Experimental	Batch1	17.34	20.31	0.76	0.73	2.00	1.02	91.51	99.5
		Batch 2	18.20	22.16	0.75	0.75	2.65	1.00	99.68	99.5
		Batch 3	18.04	22.24	0.95	0.72	2.54	0.87	99.03	99.5
a	Combination of batches	Total	17.86	21.72	1.22	0.81	1.94	0.81	74.51	99.5
b	Differences in	Batch 1	17.34	20.31	0.76	0.73	2.00	1.02	91.51	99.5
	intra-batch variance.	sd* 1.2	17.34	20.31	0.91	0.87	1.66	1.02	74.38	99.5
	SSD constant	sd* 0.8	17.34	20.31	0.61	0.58	2.49	1.02	99.12	99.5
c	Differences in SSD	Batch 1	17.34	20.31	0.76	0.73	2.00	1.02	91.51	99.5
	intra-batch. Variance,	SSD-0.5	17.59	20.06	0.76	0.73	1.66	1.02	74.14	99.5
	Constant	SSD+0.5	17.09	20.56	0.76	0.73	2.33	1.02	97.99	99.5
d	Fixed threshold	Batch1	17.34	20.31	0.76	0.73	2.00	1.02	93.69	99.22
	x=18.5 √pixels	Batch 2	18.20	22.16	0.75	0.75	2.65	1.00	65.54	100.00
		Batch 3	18.04	22.24	0.95	0.72	2.54	0.87	73.80	99.99

Abbreviations: Sim, reference for the simulation; Group, specific simulation for the group; μ_m, μ_f, σ_m, σ_f, parameters of the model; SDI, SHI, dimensionless parameters; Performance, % males recovery; Purity, % males on the sorted sample
Simulations: a, effects of sex-sorting after combining the three batches; b, effects of increase/decrease the variance; c, effects of increase/decrease the difference in means between sexes; d, effects of sex-sorting three batches with a predefined size threshold. For each simulation, the parameters that are modified from the experimental data (first 3 rows) are highlighted in bold style

ISSN: 1756-3305