The effects of oviposition-site deprivation on Anopheles gambiae reproduction

Parasites & Vectors

Table 1 The effect of short-term (7 days) and long-term (14 days) oviposition-site deprivation on egg batch size (EBS) and hatch rate

		EBS			EBS	0-exl			OvipRt^b		HR
*Source*	DF	*Z/F*	P	DF	*Z/F*	P	DF	χ ²	P	DF	F	P
Treatment group	6/238	12.1	0.001	6/138	6.72	0.001	6	34.5	0.001	4/127	12.9	0.001
Experiment	--	0.56	0.29		0.67	0.25	1	2.5	0.12	1/127	0.31	0.53
Replicate(Experiment)	--	0.77	0.22	--	ND	ND	--	ND	ND	--	ND	ND
Residual	--	10.9	0.001		8.31	0.001	6	6.8	0.34	127	--	--
(AIC) / (−2LL)^a	--	(2433)	(2437)		1354	1350
*Contrasts*
OD-7 vs. Gon1 & Gon2	1/238	12.9	0.001	1/138	0.01	0.91		11.9	0.001	1/127	48.7	0.001
Gon1 & Gon2	1/238	0.23	0.63	1/138	0.20	0.65		0.0	0.97	1/127	0.03	0.86
OD-7 vs. BD-7	1/238	7.0	0.009	1/138	0.60	0.44		9.8	0.002	1/127	31.7	0.001
OD-14 vs. Gon1 & Gon3	1/238	31.9	0.001	1/138	0.04	0.83		16.8	0.001	--	ND	ND
Gon1 & Gon3	1/238	7.64	0.006	1/138	15.9	0.001		0.0	0.95	--	ND	ND
OD-14 vs. BD-14	1/238	0.6	0.44	1/138	2.64	0.11		7.1	0.008	--	ND	ND
OD-7 vs. OD-14	1/238	9.25	0.003	1/138	0.04	0.84		7.0	0.008	--	ND	ND

Mixed model ANOVA (Proc Mixed, SAS) was used to estimate variance among Experiments and Replicates (nested in Experiment) as well as Treatment group (fixed) on EBS. A log-linear categorical model (Proc Catmod, SAS) was used for oviposition rate. The effect of short-term oviposition-site deprivation on hatch rate was estimated using ANOVA (Proc GLM, SAS) using Experiment as random blocks. Hatch rate could not be estimated in females with long-term oviposition-site deprivation and blood deprivation because of very low oviposition rate (See also Figure2 and the Methods for more details). Bold values were significant after accommodating the number of contrast tests (for each response variable separately) using the Sequential Bonferroni procedure[22].
^a Model fit statistics residual −2 Log Likelihood and AIC values are given in parentheses in the DF column.
^b Log-linear categorical models (Proc Catmod, SAS) were used to assess the effects of various factors.

ISSN: 1756-3305