Natural parasitization (%) of H. armigera by C. chlorideae
During all three cropping seasons, a high parasitism level of
H. armigera by its larval-endo parasitoid
C. chlorideae was recorded and this parasitoid marked its 1
st appearance (24% parasitization) on 3
rd SMW after the appearance of
H. armigera (Fig 1). During 2017-18 and 2018-19, the larval parasitization % by
C. chlorideae gradually increased and reached its peak (64% and 72%, respectively) in 7
th SMW (3
rd week of February). From 8
th SMW (4
th week of February) there was a regular decline in parasitization from 20% and 40%, respectively, to 4% (11
th SMW). While, during 2019-20
C. chlorideae parasitization % increased gradually and reached its peak of 68% parasitization in 6
th SMW (2
nd week of February). Thereafter, from 7
th SMW (3
rd week of February) a gradual decrease in parasitization of 60% to 4% (11
th SMW). Thus, a maximum parasitization of 64% to 72% was recorded during 6
th to 7
th SMW
i.e., flowering to pod initiation stage. During all three years, parasitization became almost nil in 12
th SMW (4
th week of March) (Fig 1).
Jagdish et al., (2016) reported the coincidence of parasitoid activity with the crop’s flowering and pod formation stage. The maximum parasitization recorded in this study was in agreement with the findings of
Ojha et al., (2017) and
Divija and Agnihotri (2021) who recorded a maximum parasitization of 51.67% to 56.67% and 68% to 72%, respectively, in late sown crop.
Ravi and Verma (1997) and
Kaur et al., (2000) reported that in normal and late-sown crops,
H. armigera parasitism by
C. chlorideae was maximum in 6
th and 7
th SMW, respectively, which was followed by a gradual decline supports the present findings. During three years, the range of minimum - maximum temperatures and morning - evening RH of 9.7°C to 11.01°C - 27.94°C to 28.36°C and 93% to 96.71% - 43% to 50.37%, respectively, along with nil rainfall were found to be favourable for
C. chlorideae population build-up. The minimum to a maximum threshold temperature and RH of 12°C to 35°C and 95%, respectively, were ideal for the survival, development and increased incidence of
C. chlorideae (Kaur
et al., 2000;
Dhillon and Sharma, 2008).
Pillai et al., (2016) documented that the minimum - maximum temperature as well as morning - evening RH in the range of 8.3°C to 9.2°C - 23°C to 24°C and 89% to 90% - 44% to 54%, respectively and nil rainfall were found to be favourable for the increased
C. chlorideae incidence in Terai region of Uttarakhand.
Association of C. chlorideae incidence with weather variables
A simple correlation was worked out between the weather parameters and
H. armigera parasitization % by
C. chlorideae during all three
Rabi seasons (Fig 2).
C. chlorideae parasitization % had a significant negative correlation with maximum temperature (r= -0.71*
p= 0.02; r= -0.63*
p= 0.04 and r= -0.73**,
p= 0.01, respectively) and minimum temperature (r= -0.71*,
p= 0.02, r= -0.73**,
p= 0.01, r= -0.62*,
p= 0.04), While, remaining independent variables such as evening RH (r= -0.16,
p= 0.64; r= -0.58,
p= 0.06 and r= -0.40,
p= 0.23, respectively), morning RH (r= 0.46,
p= 0.16; r= -0.47,
p= 0.14 and r=-0.57,
p= 0.07, respectively) and rainfall (not available; r= -0.07,
p= 0.84 and r= -0.48,
p= 0.14, respectively) showed non-significant association with
C. chlorideae parsitization (Fig 2). Thus, among the weather variables only temperature (maximum and minimum) had a strong negative association with parasitoid incidence
i.e., as the temperature increases, the parasitoid incidence (calculated based on parasitization %) decreases sharply and other weather variables did not play any significant role in influencing parasitization %. The temperature had a negative association with
C. chlorideae larval and pupal periods and the parasitoid activity was found to cease at a temperature above 35°C to 40°C (
Gupta and Raj, 2003;
Teggelli et al., 2004; Dhillon and Sharma, 2008). Though
Pillai et al., (2016) as well as
Divija and Agnihorti, (2021) reported that the maximum and minimum temperatures had a significant negative association with
C. chlorideae incidence, which supports the present result, they have also pointed out that there exists a positive correlation between morning/evening RH and parasitoid incidence. As per
Singh et al., (2015) RH and rainfall did not play any precise function in
C. chlorideae parasitization of
H. armigera which is in agreement with the present findings.
Stepwise regression analysis of parasitoid incidence and weather variables
Based on all three years of weather data, it was confirmed that multicollinearity exists
i.e., a condition where explanatory/independent variables are interdependent or a high correlation is observed between independent variables (indicated inside the red colour circle) (Fig 2). Under multicollinearity conditions, one or two best explanatory variables with adequate information that appropriately explain the dependent variable were selected by dropping out other explanatory variables using stepwise regression (
Farrar and Glauber, 1967). Based on both forward and backward regression analysis, during 2017-18 and 2019-20, maximum temperature was responsible for 50.28% and 52.71% variation in parasitoid incidence. While, during 2018-19 minimum temperature emerged as the best explanatory variable, responsible for 52.93% variation in parasitoid incidence. The effect of maximum temperature (2017-18 and 2019-20) and minimum temperature (2018-19) was statistically significant at 95% probability level which was evident from the t probability values (
p= 0.05) (Table 1). Thus, only 50%
C. chlorideae incidence was significantly influenced by temperature (maximum and minimum). Since the parasitoid incidence does not depend only on weather variables alone, some other factors such as the host density for parasitization and food availability for adults might have contributed to the remaining parasitoid population build-up.
Bisane et al., (2013) reported that in pigeonpea
H. armigera larva parasitization by
C. chlorideae exhibited a density-dependent relationship. In contrast to the present result
Gupta and Raj (2003) reported that RH and total rainfall had a significant effect of 74.15% on larval parasitism, both individually as well as in association with other abiotic factors.
Pillai et al., (2016) revealed that various abiotic factors such as minimum and maximum temperatures, morning and evening RH, rainfall, sunshine hours and wind velocity were influencing 97.9% to 99.3% of parasitization. Keeping other factors constant, the model regression equation
(y=a+bx) indicates that during 2017-18 and 2019-20, every 1°C decrease in maximum temperature resulted in 4.16% and 4.83% increase in the parasitoid population, respectively. During 2018-19 there was 4.78% increase in parasitoid incidence for every 1°C decrease in minimum temperature (Table 1).