Pod yield
Pod yield (dry weight) of groundnut varied from 2330-4590 kg ha
-1 under improved technologies and 1290-4234 kg ha
-1 with farmers practices (Table 2). Four year mean pod yield of improved practices of groundnut was 3371 kg ha
-1 which was 24.39 per cent higher than four years mean yield of farmer’s practice (2710 kg ha
-1). The higher pod yield under demonstrations could be attributed to adoption of improved technology
viz., spacing, micronutrient application, weed management, nutrient management, improved variety
etc. created a favorable impact on nutrient uptake and growth which resulted in enhanced groundnut productivity. Year wise variation in pod yield was observed due to variation in the environmental conditions prevailed during that particular year.
Narolia et al., (2013) also reported that improved package of practices has shown positive effect on yield potentials of different crops. Similarly, improved practices recorded higher mean water expanse efficiency (280.9 kg ha-cm
-1) as compared to farmer’s practice. The improved technologies played role towards enhancing the nutrient availability, water use efficiency, nutrient use efficiency which improved the yield. The results of
Meena et al., (2012) are in conformity with these findings.
Singh et al., (2013) also found the role of improved seed in enhancing the crop yield. Recently, the enhancement in yield of moth bean under improved technologies of CFLD has already been reported by
Reager et al., (2020).
Adoption gap
The adoption gap is a key factor influencing the productivity of groundnut (Table 3). The gap analysis was done by evaluating the extension gap, technology gap and technological index to measure the magnitude of adoption technology. The extension gap is a parameter to know the yield difference between the demonstrated technology and farmer’s practice and observed data further indicated that extension gap varied from 546 to 864 kg ha
-1 with an average of 661 kg ha
-1. This indicated a wide gap between the demonstrated improved technologies and the farmer’s practice. Technological gap is a measure of difference between potential yield and yield obtained under improved technology demonstration. It has a great significance than other parameters as it indicates the constraints in implementation of technology and drawbacks in our package of practices. This also reflects the poor extension activities, which resulted in less adoption of improved management technologies by the farmers. This gap can be bridge by strengthening the extension activities and further on farm research to improve adoption of package of practices. Technology index is dependent on technology gap and is a function expressed in per cent. Technology index of four years of study varied from 7.9 to 20.5 per cent with an average of 15.7 per cent. The very low technology index (7.9) during the year 2016 could be due to adoption of improved technology, favorable climatic conditions and no insect pest and disease incidences. High technology index shows a poor adoption of package of practices and improved technologies by the farmers. Similar findings with respect to front line demonstrations were observed by
Singh et al., (2018) and
Reager et al., (2020) in chickpea and moth bean crops in arid zones of Rajasthan.
Sustainability
A perusal of data (Table 2) revealed that higher standard deviation (SD) and coefficient of variation (CV) in yield were observed under farmer’s practices over improved technology demonstrations in all the four years. This may be due to more variation in the yield of farmer’s practice from farmer to farmer and least variation in improved technology demonstrations. However, the maximum values of sustain-ability yield index (SYI) and sustainability value index (SVI) were found under improved technology than farmer’s practices. The mean SYI and SVI over these four years under improved technology varied from 0.611 to 0.827 and 0.482 to 0.638, whereas, corresponding values under farmers practice were 0.430 to 0.693 and 0.265 to 0.588, respectively. Pooled data further revealed that SYI and SVI increased to the tune of 31.25 and 46.88 per cent over farmers practice. This shows that the improved technology is more sustainable as compared to farmer’s practice. Similar results have been reported by
Narolia et al., (2013) in mustard and
Reager et al., (2020) in moth bean.
Water productivity
In arid climatic conditions, weather parameter values of temperature, relative humidity and evaporation play an important role in relation to water productivity. Data in Table 4 showed higher water expense efficiency (WEE), gross water productivity (GWP) and net water productivity (NWP) with improved technologies than farmers practice for all the four years. The maximum values of four year mean WEE (45.15 kg ha-cm
-1), GWP (16.58 ₹m
3) and NWP (11.89 ₹m
3) were found under improved technology and with an increase of 54.68, 55.68 and 70.83 per cent, respectively over farmer’s practices. This may be due to lower yield obtained and mismanagement of water in the farmers practice. This indicates that the improved technology is more efficient in water management as compared to farmers practice.
Narolia et al., (2013) also experienced the higher productivity and sustainability of mustard under improved water management technology in Chambal command. The higher water productivity in moth bean with improved techniques has been recorded in arid zone of Rajasthan
(Reager et al., 2020).
Economics
Yield, cost of variable inputs and sale price of produce determine the economic returns and these vary from year to year as the cost of input, labour and sale price of produce changes from time to time (Table 5). The year wise additional returns from improved technologies over farmer’s practice varied from ₹16940 ha
-1 to ₹37601 ha
-1 with an average additional return of ₹24832 ha
-1. The mean additional cost of input of all the demonstrations for four years was ₹833 ha
-1. The higher sale price of produce in spite of low production and lower additional cost of input during year 2019 gave highest additional return (₹37601 ha
-1) under improved technologies than farmer’s practice. The mean incremental benefit cost ratio (IBCR) fetched was 30.1 and it showed the positive impact of improved technology. The highest IBCR (35.8) was observed in the year of 2019 and least (23.0) in 2018. The highest IBCR under these treatments is a result of higher grain yield, less cost of input and a good return. The results are in conformity with the earlier findings of
Sonawane et al., (2016) who reported higher IBCR of groundnut under application of mechanization.