Incidence of spotted pod borer webbing
The pooled mean of
M. vitrata larval webbing per plant in pigeonpea (ICPL67B) during
Kharif 2014 to 2017, ranged from 2.05 to 5.78 (Table 1). The highest (5.78) larval webbing per plant was recorded from cowpea (T
4) as border crop with pigeonpea which was on par with sole crop (T
8:5.25) while the lowest (2.05) was recorded from sorghum (T
7) as border crop with pigeonpea. Among the four years, two years
i.e. Kharif 2017 (8.81) and 2015 (2.49) had recorded highest larval webbing from T
8; while
Kharif 2016 highest
C. septumpunctata followed by cowpea (555.6). The possible reason may be due to high incidence of aphids in sorghum compared to cowpea.
Activity of spider
The predominant spiders found in different treatments were
Oxyopus sp,
Clubiona sp,
Thomisus sp and
Araneu sp. The highest (0.76) spider population per plant was recorded from pigeonpea having sorghum as border crop (T
7) followed by pearl millet (0.45) (Table 4). Further, the sorghum (T
7) has recorded significantly highest spider population among the 8 treatments studied. The sorghum as border crop has recorded significantly higher spider population per pigeonpea plant during 2015 (0.69), 2016 (0.78) and 2017 (1.2). The present result supports the findings of
Gopali et al., (2010) where they reported that spider population was the highest in sorghum intercropped pigeonpea (1.25/plant) followed by bajra intercropped pigeonpea (1.05/plant). The sole crop (T
8:0.10) has recorded the lowest spider population per plant and was on par with treatments (T
1:0.30; T
2:0.35; T
3:0.14; T
4:0.16 and T
5:0.07).
Singh et al., (2013b) also reported that spider population (0.75/plant) was more in pigeonpea + rice intercrop than sole crop and other treatments. The present finding is in agreement with Solanki and Kumar (2015). They found highest spider diversity in maize crop followed by pigeonpea. In the present study the sorghum and pearl millet belongs to same family (Poaceae) and crop geometry as that of maize which in turn might have enhanced spider population in those treatments. The present result is in agreement with
Khajuria et al., (2015); wherein the occurrence of predatory spider was reported in pigeonpea agro-ecosystem.
Yield
The sorghum as border crop with pigeonpea has recorded significantly highest pooled yield of pigeonpea (730.72 kg/ha) among the 8 treatments. The second highest yield was recorded from green gram as border crop with pigeonpea (517.79 kg/ha) followed by cluster bean (494.25 kg/ha) and pearl millet (487.58 kg/ha). Also, similar trend was observed in per cent increase in yield over sole crop. The highest percent increase in yield (Fig 1) was recorded from sorghum (65.81%) followed by green gram (17.49%), cluster bean (12.15%) and pearl millet (10.64%). The pulse intercropping with monocots such as sorghum always enhances the yield. The present finding is in accordance with
Prasad et al., (2011) wherein they had reported pigeonpea + sorghum cropping system as most remunerative cropping system among the four different intercropping systems they had evaluated. A similar report of the lowest per cent fruit damage in brinjal by
L. orbonalis was found when it is planted with maize as border crop and coriander as intercrop as reported by
Sujayanand et al., (2015). Thus, the graminaceous crops (like sorghum or maize or pearl millet) act as wind shield and it restrict the movement of adult moths by mechanical means. Apart from mechanical hindrance some of the plants like sorghum, maize, etc offers pollen and nectar for the predaceous coccinellids that act as refugia for them, the predators, in turn, suppress the neonate larvae present in main crop. Thus, indirect biological control service and mechanical hindrance provided by these refugia crops results in the lowest pod damage and thereby increases the pod yield.
Influence of abiotic factors on seasonal abundance of M. vitrata larvae
The
Maruca larval population was noticed from 41
st SMW to 47
th SMW in Kanpur for the four years of study except 2016; wherein the infestation started from 40
th SMW to 41
st SMW (Fig 2) according to prevailing weather condition of the year. The peak larval population was recorded on 46
th SMW (8.00/plant) and 44th SMW (13.33/plant) during 2014 and 2017 whereas during
Kharif 2015 and 2016, peak population was recorded in 41
st SMW (5.13/plant and 9.67/plant). A similar finding of peak
Maruca larval webbing (24.00; 24.88 and 25/plant) in 40
th SMW during
Kharif 2015-2017 was reported from Ludhiana (30.9010° N, 75.8071° E) by
Taggar et al., (2019). Except for the
Kharif 2017 (4 week difference) there was a difference of 1 week in peak
Maruca larval webbing between Ludhiana (40
th SMW) and Kanpur (41
st SMW). The present finding is not in agreement with
Chaitanya et al., (2012) and
Sampathkumar and Durairaj (2015); wherein they had reported peak
M. vitrata population (17.3/plant and 9.38/plant) during December (49
th SMWand 50
th SMW). The probable reason may be due to differences in weather parameters like prevalence of longer day length and higher minimum temperature in December in their study location
i.e. Tirupathi (13.6288° N, 79.4192° E); Coimbatore (11.0123° N, 76.9355° E) than our study location
i.e. Kanpur (26.4932° N, 80.2742° E).It can be inferred from the present report along with
Taggar et al., (2019) and
Chaitanya et al., (2012) that the peak larval population of
Maruca is gradually shifting from North India to South India, during its course of time from September towards December. It appears that
M. vitrata is migrating from North to South India during winter progression in India. A similar kind of
M. vitrata migration was already reported in Western Africa by
Ba et al., (2009). In spite of the South-North migration occurrence in Western Africa there was a reduced gene flow in
M. vitrata populations
(Agunbiade et al., 2012).
The regression coefficients observed for day length, rainfall, minimum temperature, maximum temperature and RH was 1.53,-0.02,-0.35,-9.05 and -0.12 respectively. The results on regression analysis (Table 5) yielded the following equation and showed that the 6 weather parameters together explained the variation in
Maruca larval population (ML) by 41% (R
2=0.41).
ML= 33.14 + 1.53 (Day length) -0.02 (Rainfall) -0.35 (T min) -9.05 (T max) -0.12 (RH)
Out of 6 weather parameters studied, RH was found to influence the ML significantly. If the other weather parameters were at their mean level a unit rise in RH will decrease the larval population by 0.12 times. The second most influencing weather parameter was day length. A unit increase in day length will result in increased ML by 1.53 times. The present result corroborates with that of
Sreekanth et al., (2015) wherein they observed significant correlation between
M. vitrata population and sunshine hours (0.656) and evening relative humidity (RH-II) (-0.609). Research has shown that lack of rain, relative humidity and temperature may influence seasonal abundance of
M. vitrata (Agunbiade
et al., 2012). The present finding supports
Sampathkumar and Durairaj (2015); who also had reported that five weather parameters including sunshine hours (1.495 times) had significantly influenced
M. vitrata population in pigeonpea at Coimbatore.