Galerucella placida Baly feeds on the rice-field weed Polygonum orientale L. (Polygonaceae) in India and Bangladesh during autumn and winter seasons. The insect is widely available during the winter season when the temperature fluctuates between 9 and 24 °C. Hence, it is of considerable interest to study how the adults cope with the stress resulting due to temperature fluctuations. Consequently, we analysed the levels of H2O2, antioxidant enzymes [catalase (CAT), superoxide dismutase (SOD), peroxidases (POD), guaiacol peroxidase (GPX), pyrogallol peroxidases (PPX), ascorbate peroxidases (APOX) and glutathione-S-transferases (GST)] and malondialdehyde (MDA) at 9, 12, 15, 18, 21 and 24 °C in adult G. placida. H2O2 was highest at 24 °C followed by 9 °C and lowest at 18 and 21°C. CAT and SOD were highest at 9 °C followed by 24 °C, while POD was highest at 24 °C followed by 9 °C. CAT and POD were lowest at 18 and 21 °C, but SOD was the lowest at 21 °C. APOX were three-fold higher at 9 °C compared to 12 °C, which was the lowest at 18 and 21 °C, implying that APOX had strong detoxification function at 9 °C. GST was highest and lowest at 9 and 21 °C, respectively. MDA was highest at 9 °C and lowest at 18 and 21 °C, which did not differ significantly at 15 and 24 °C, suggesting that lower and higher temperature stress was accompanied by lipid peroxidation. This finding provides useful information for mass rearing of G. placida for predicting population dynamics and understanding the potential for G. placida as biocontrol agent under varying environmental conditions.

Ladybeetles are known beneficial insects, with a long history in augmentative and classical biological control. The ladybeetle Oenopia conglobata (L.) is a natural enemy of many herbivores, particularly aphids. The temperature-dependent development of O. conglobata was studied at six constant temperatures (22.5, 25, 27.5, 30, 32.5 and 35 °C) to understand its development rate and environmental constraints better. Linear and nonlinear (Lactin) models were fitted to the data. In the thermal range from 22.5 to 32.5 °C, the rate of development increased for all stages; 35 °C was lethal for all stages and no eggs hatched. The Tb and K values for the biological cycle (egg–adult) were 8.84 °C and 263.15 DD, respectively. Depending on the model, tmin values for the total development time of the coccinellid ranged from 8.45 to 8.82 °C. The nonlinear model of Lactin estimated the optimum and upper temperature thresholds for the total development time of the ladybeetle to be 33.2 and 35.0 °C, respectively. High R2 values and low residual sum of squares values revealed a good fit to the experimental data for total development and different developmental stages of O. conglobata. The results may contribute to the improvement of practical methods for mass rearing of O. conglobata.

The coffee berry borer (CBB), Hypothenemus hampei Ferrari, a recent invader to Hawaii, is impacting coffee growers by reducing yields and quality and increasing production costs. Monitoring strategies are needed to assess infestations and where control operations are warranted, and evaluate their effectiveness. To develop and validate a fixed-precision sequential sampling plan, an intensive CBB sampling programme was conducted in 17 small farms in Kona and Kau districts in the Big Island in 2016/17. At each location, 30 trees/ha were monitored at 2–4 week intervals. Results show that the CBB has an aggregated spatial distribution based on Taylor's power law parameters. According to Green's stop line formula, between 6 and 50 coffee branches per ha (sample unit) are required to estimate infestation rates of 1.5–2.5% infested green berries (suggested economic threshold) with a precision fixed at 10 to 25%. Concurrently, a modified strategy was tested on 14 farms, in which only infested green berries (not total) was counted. The standard and modified sampling methods were highly correlated (R2 ≥ 0.98), while the modified approach required on average only 35 min (27% less time) to complete, with an additional 24 min taken to observe the position of the CBB inside the berry. Our data also show that berry infestation rates of CBB prior to harvest were a good predictor of the total defects resulting in processed green coffee from these farms (Pearson's r coefficient of 0.82). Our findings support improved sampling for the CBB under Hawaiian conditions using a simpler and faster monitoring strategy based on counting green infested berries.