The technology gap between frontline demonstrations (FLDs) and existing farmers’ practices (FP) of chickpea crop in Muzaffarpur and Vaishali districts of Bihar is presented in Table 1. The use of variety, seed rate, sowing methods, seed treatment, fertilizer application, use of bio-fertilizers, weed management, water managementand harvesting and threshing all showed full gaps. On the other hand, there was a partial gap in the sowing timeand no gap was observed in the field preparation. Unavailability of seed of high-yielding varieties at the right time and lack of awareness about improved production technologies were the main reasons for low yields. Farmers used the broadcast method of sowing, applying a higher seed rate than recommended and failing to maintain the appropriate spacing against the recommended line sowing.
Yield analysis
Table 2 shows the chickpea yield data collected over the course of two years of FLD. There was a quantum leap in demonstration yield of chickpea (18.50 q/ha and 19.70 q/ha) against the local check control (13.60 q/ha and 14.50 q/ha) by a margin of 4.90 q/ha and 5.20 q/ha with a percentage increment of 36.03% and 35.86% over the local check (farmer’s practice) during 2020-21 and 2021-22, respectively. For the demonstration and local check, the results show a mean yield (mean of two years) of 19.10 q/ha and 14.05 q/ha, respectively. Furthermore, a 35.95% increase in yield over local check was observed with the technologies that were demonstrated under FLD (Table 3). The results were found to be in close conformity with the findings of
Amuthaselvi et al., (2023); Hashim et al., (2022); Hashim et al., (2023); Kantwa et al., (2022); Meena et al., (2021); Prajapati et al., (2019) and
Bamboriya et al., (2023) who reported FLD farmers had more benefit as compared to existing practices in different crops and in different areas.
Technology gap
The findings of the technology gap between farmer’s practice (FP) and the improved technologies demonstrated (FLDs) showed a full gap in the variety used in the FLDs (Table 1). Wherein the demonstrated technology resorted to the use of an improved variety of chickpea (BG 3043), while farmers’ practices adopted local varieties or old varieties. As opposed to timely sowing (first week of November) in FLDs, the farmers had sown the chickpea seed until December. Additionally, farmers used a higher seed rate of 100-120 kg/ha as against 75 kg/ha in FLD sand there was a full gap in the seed rate used. A full gap was also observed between demonstration fields and farmers’ practices in the cases of variety, seed rate, sowing methods, seed treatment, fertilizer application, use of bio-fertilizers, weed management, water managementand harvesting and threshing. In respect of sowing time, a partial gap between the demonstration fields and farmers’ practices was noticed. According to factual data on the technology gap, the highest technological gap was registered during 2020-21 (6.50 q/ha) and during 2021-22 it was 5.30 q/ha, while the overall mean technological gap was 5.90 q/ha (Table 2). Overall, from the study, the lower technological gap was evident in 2021-22, where the highest yield was obtainedand this indicates that the lower technological gap has an inverse relationship with crop yield, as a narrower gap resulted in more adoption of the demonstrated technology.
Kantwa et al., (2022), Meena et al., (2021); Amuthaselvi et al., (2023) and
Bamboriya et al., (2023) also reported the same results.
It is important to stress that in order to reduce the trend of a large extension gap, farmers must be persuaded and educated to adopt improved agricultural technologies during both FLD years. More adoption of recent production technologies with high-yielding varieties will subsequently change this alarming trend and will help to improve the farmer’s income. The variation in the technology gap may be attributed to dissimilarities in soil fertility status, agricultural practicesand local climatic conditions
(Thakur et al., 2019).
Extension gap
The data revealed a significant extension gap between farmers’ practices and the technology that was demonstrated (Table 2 and 3). Results of two years showed that the highest extension gap (5.20 q/ha) was recorded during 2021-22, whereas during 2020-21, an extension gap of 4.90 q/ha was reported, while the mean extension gap during both years was 5.05 q/ha. There is a need to impart training and awareness programs to the farmers for the early adoption of improved agricultural production technologies for chickpea and varieties to narrow down the wide extension gap between the demonstrated technology and farmers practices. This new technology will eventually encourage farmers to discard their existing practices and adopt new one. This finding is in corroboration with the findings of
Yadav et al., (2023), Rupesh et al., (2017), Raghav et al., (2021) and
Rachhoya et al., (2018) and
Hashim et al., (2022) which showcased the efficacy of good performance of technical interventions.
Technology Index
The feasibility of the evolved technology in the farmer’s field is indicated by the technology index (Table 2). The lower the value of the technology index, the more the feasibility of the technology. The highest technology index (26.00%) was recorded during 2020-21, whereas during 2021-22, a technology index of 21.20% was reported, while the mean technology index during both years was 23.60%. It may be due to variations in the fertility status of the soil, erratic and uneven rainfalland regional weather patterns. Our results are in conformity with the results of
Rupesh et al., (2017), Raghav et al., (2021) and
Rachhoya et al., (2018) and
Hashim et al., (2022).
Economic analysis
Based on current input and output costs, the economic performance of the demonstrated technologies over farmer practices was calculated (Table 4 and 5). It is revealed that a higher cost of cultivation of 29245 ₹/ha of demonstrated technology was recorded in 2021-22, while it was 28100 ₹/ha in 2020-21, as against the cost involved in the local check of 25700 ₹/ha and 24590 ₹/ha during 2021-22 and 2020-21, respectively. In both years, the cost of cultivation was lowest in the local check and higher in the demonstrated technologies. The demonstration plots fetched higher gross returns of 100470.00 ₹/ha and 90188.00 ₹/ha and net returns of 71225.00 ₹/ha and 62088.00 ₹/ha with a higher benefit: cost ratio of 2.44 and 2.21 as compared to gross returns of 73950.00 ₹/ha and 66300.00 ₹/ha, net returns of 48250.00 ₹/ha and 41710.00 ₹/ha and benefit: cost ratio of 1.88 and 1.70 during 2021-22 and 2020-21, respectively of local check.This finding is in concordance with the findings of
Singh et al., (2014); Singh et al., (2020); Thakur et al., (2019); Yadav et al., (2023); Hashim et al., (2022) and
Hashim et al., (2023).
The average net returns of 66656.50 ₹/ha was obtained in the demonstration, which was 21676.50 ₹/ha (48.20%) higher than the farmer’s practice (44980.00 ₹/ha) and the B: C ratio of improved technologies (2.33) was also higher than the farmer’s practice (1.79) and presented in table 5. The incremental benefit-cost ratio (6.15) is sufficiently high to motivate the farmers to adopt the technology.
The highest additional cost generated from the demonstrated field was reported during 2021-22 (3545.00 ₹/ha) and the lowest was observed in 2020-21 (3510.00 ₹/ha). Regarding additional returns and effective gains, the same patterns were also observed. The highest additional returns of 22975.00 ₹/ha, an effective monetary gain of 19430.00 ₹/haand an incremental B: C ratio of 6.48 were recorded during 2021-22 and the lowest additional returns of 20378.00 ₹/ha, an effective monetary gain of 16868.00 ₹ /ha and the highest incremental B:C ratio of 5.81 were recorded in 2020-21.
Feedback of the farmers and extent of farmer’s satisfaction
It was possible to convince the farmers in the adopted village to use the specific new technologies and varieties. The new high-yielding variety had an advantage over the check varieties. The technology that was demonstrated and the degree of yield satisfaction received positive feedback from the nearby farmers. Most farmers think they will adopt proven technologies if input support is discontinued. The level of satisfaction with the support provided was also satisfactory (Table 6). The extent of farmer satisfaction with front-line demonstrations showed that the majority of the respondent farmers expressed a high (80%) and medium (15%) level of satisfaction regarding the performance of FLDs (Table 7). In contrast, only a small percentage of respondents (5%) indicated a lower level of satisfaction, indicating a stronger conviction and active participation in both the physical and mental aspects of the front-line demonstrations, which would then result in higher adoption.
Table 8 presents a preferential ranking given in descending order to identify problems or limitations faced by the farmers in the cultivation of chickpea. The awareness and lack of suitable high-yielding varieties were the very serious constraints that ranked first (I) both by FLD farmers and non-FLD farmers. Unavailability of disease resistance varieties (rank II), unavailability of efficient manpower (rank III), inadequate infrastructure (rank IV), lack of proficiency in using insecticides and others (rank V), low level of technical expertise in chickpea cultivation (rank VI), inadequate supply of inputs (rank VII) and higher cost of input (rank VIII) were the constraints of FLD farmers. However, non-FLD farmers’ constraints in descending order were: lack of proficiency in using insecticides and other pesticides (rank II), unavailability of disease resistance varieties (III), unavailability of efficient manpower (IV), inadequate infrastructure (V), higher cost of input (VI), adequate supply of inputs (VII)and low level of technical expertise in chickpea cultivation (VIII).