Full Research Article
Impact of Improved Crop Management Practices on Yield, Economics and Insect Pest Dynamics of Kharif Black Gram (Vigna mungo L.) in Punjab
- Email suman60@pau.edu

Impact of Improved Crop Management Practices on Yield, Economics and Insect Pest Dynamics of Kharif Black Gram (Vigna mungo L.) in Punjab
Submitted17-04-2026|
Accepted03-08-2026|
First Online 22-09-2026|
doi 10.18805/LR-5666
Background: Black gram (Vigna mungo L.) is an important pulse crop, but its productivity in Punjab remains low due to poor adoption of recommended practices and damage caused by insect pests. Improving crop management along with an understanding of pest dynamics is essential for enhancing productivity and profitability.
Methods: The present study evaluated the impact of Cluster Frontline Demonstrations (CFLDs) on yield, economics and insect pest dynamics of Kharif black gram during three consecutive seasons (2020-21 to 2022-23) in Hoshiarpur district of Punjab, with comparative pest observations from Kapurthala district. A total of 114 demonstrations covering 40 ha were conducted using the recommended package of practices, while farmers’ practice served as the local check.
Result: Demonstration plots recorded significantly higher grain yield (7.10-7.25 q ha-1), registering a yield advantage of 26.09-32.71% over farmers’ practice. Improved yield resulted in higher net returns (₹8,905-11,220 ha-1) and benefit-cost ratio (1.26-1.36). Seasonal monitoring of insect pests revealed whitefly and jassid as the predominant sucking pests during the vegetative stage, while pod borers (Maruca vitrata and Spodoptera litura) caused maximum damage during pod formation. Peak pest incidence was consistently observed during Standard Meteorological Weeks 36-38. Pod damage due to major borers was considerably lower under demonstration plots, indicating the effectiveness of timely, need-based pest management interventions. High farmer acceptance and willingness to continue the demonstrated technologies further validated their practicality. The study highlights that integration of improved agronomic practices with stage-specific pest management is essential for enhancing productivity and profitability of black gram under Punjab conditions.
The study was carried out in different blocks of Hoshiarpur district during the Kharif seasons of 2020-2021 to 2022-23. Demonstrations were organized on a total of 40 ha involving 114 farmers, with different farmers selected each year to ensure wider coverage. Each participating farmer was carefully guided and trained in improved package of practices for black gram cultivation through off-campus training programmes.
For comparison, the farmer’s practice (FP) plots represented the local standard check, where farmers typically used local varieties such as Himmash, applied sub-optimal fertilizer doses and often sprayed unrecommended insecticides without proper seed inoculation. In contrast, the frontline demonstration (FLDs) plots followed an integrated crop management approach strictly as per the package of practices recommended by Punjab Agricultural University (PAU), Ludhiana. These included soil testing, use of bio-fertilizers, balanced fertilization, weed management and integrated pest and disease management.
The variety used in FLD plots was Mash 114, with a seed rate of 8 kg acre-1 and an optimal sowing window between July 15 and July 25. Sowing was carried out using drill, kera, or pora methods at a depth of 4-6 cm with 30 cm row spacing. Seeds were treated with Rhizobium (LUR 6) biofertilizer before sowing. Fertilizers were applied based on soil test recommendations, with 11 kg urea and 60 kg single superphosphate per acre applied at sowing. Weed management included application of imazethapyr 10 SL @ 300 ml acre-1 in 150 L water at 15-20 days after sowing, followed by one manual weeding/interculture operation about one month after sowing. The crop was predominantly rainfed, with one life-saving irrigation provided during prolonged dry spells when required. Integrated pest management included application of homemade PAU neem extract (1 L acre-1) against whiteflies, jassids, aphids and pod-sucking bugs, while Ekalux 25 EC @ 500 ml acre-1 in 100 L water was applied, when required, for hairy caterpillar management.
Experimental design
Since Demonstrations were non-replicated field experiments but large-scale demonstrations under farmers’ field conditions, the layout followed a cluster demonstration design (non-replicated). However, to maintain reliability, each demonstration was established on a minimum area of one acre per farmer across multiple locations, thereby ensuring wide-scale representativeness. Farmers’ practice plots located in the same villages served as comparative controls.
Pest observation and data recording
The population dynamics of major insect pests of black gram including whiteflies, jassids, aphids, thrips, Maruca vitrata larvae and Spodoptera litura larvae were recorded at weekly intervals during the 30th to 38th Standard Meteorological Weeks (SMW). For sucking pests (whitefly, jassid, aphid), counts were taken per three leaves per plant, while thrips incidence was recorded per five flowers. Pod borers (M. vitrata and S. litura) were recorded as larvae per plant. In addition to Hoshiarpur, pest dynamics were also monitored in the neighboring district of Kapurthala for comparative analysis of location-specific trends.
Data analysis
Grain yield data were obtained through crop cutting, while economic parameters were calculated based on prevailing market prices and cost of cultivation. Pest population data were pooled over farmers’ fields for each week and location and expressed as mean values. Since the demonstrations were non-replicated, formal statistical analyses such as analysis of variance were not applied. Although demonstrations were non-replicated, pooled yearly data were used to compute descriptive statistics (mean± standard error) to indicate variability. Instead, comparative analysis between Demonstrated plots (DP) and Farmer Plots (FP) was used to interpret treatment effects, with seasonal mean values employed to describe trends in pest population dynamics. Technology gap, extension gap and technology index were calculated following the formulas of Samui et al., (2000).
Technology Gap = Potential yield - Demonstration plot average yield
Extension Gap = Demonstration plot average yield - Farmer’s plot average yield
Where,
P= Potential yield of the crop.
D= Average demonstration plot yield of the crop.
Extension activities such as group meetings, kisan goshties and field days were conducted at the demonstration sites to disseminate results and encourage farmer-to-farmer learning. Feedback was systematically collected to refine future extension programmes.
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