Yield gaps in milk production are here defined as the differentials between the actual yield obtained by the dairy farmer and the potential farm yield (production achieved by the top 10% of farmers: Gap 2) as well as the differential between this potential farm yield and the yield registered in the research stations (Gap 1). Assessment of yield gaps provides valuable information on potential production enhancement and drivers behind yield gaps. Milk production can be increased by narrowing the predominant large yield gaps in resource-poor smallholder farming system. Hence, this study assessed the milk yield gap and factors affecting the yield gap in Ri-Bhoi district of Meghalaya, a state located in the north-eastern Himalayan region of India. This research paper provides a scope for exploring the possibilities for improving dairy production in the state as well as contributing to literature through incorporating crucial determinants responsible for milk yield gap. A sample of 81 respondents was drawn purposely from two blocks of the district. The results indicated that the average number of cattle per household was 9.38 in standard animal units. The total yield gap was estimated at 6.20 l (91.06%) per day, composed of 0.80 l (11.76%) per day of yield gap I and 5.40 l (79.30%) per day of yield gap II. This demonstrates that the top performing farms were achieving a production level not dissimilar to that obtained on the research stations, but many were doing far less well. The size of cattle shed, dairy farming experience, concentrate price and human labour were the important determinants of the yield gap. Hence, encouraging the right stocking density of cattle, training on the preparations of home-made concentrates, access to cheap and quality concentrates, incorporating training and experience sharing on proper dairy management practices and use of technology could benefit the dairy farmers of the region.
The present study was carried out in Nawapara APMC in Chhattisgarh to examine the changes brought about by the e-NAM intervention in the arrivals and prices of paddy. To identify the factors that influence farmers’ participation in the e-NAM platform, several 75 farmers were selected and interviewed. F test and t-test were adopted to analyze the equality of variances and means of the market arrivals and prices of paddy before and after e-NAM adoption. The study results show that both the monthly arrivals and modal prices of paddy were higher post-e-NAM integration than before it was integrated. The percentage changes before and after e-NAM in the arrivals and prices were 29.28 percent and 24.21 percent, respectively. There is no significant ratio in variances, whereas there is a significant difference in the means of both the arrivals and prices, as shown by F and t t-test results. The factors that motivated the farmers to do trading on the e-NAM platform were found to be influenced mainly by remunerative price followed by better price than the open auction, more transparency, and absence of middlemen. This indicated that the implementation of the e-NAM platform has a positive impact on arrivals and prices. The impact may be more visible once it is implemented in the true sense of conceptualized.
Background: Dairy sector is a thriving enterprise in Indian agriculture showing colossal growth responsible for placing the country at the top position worldwide in milk production. This sector has seen a rising growth; however, there seems to be demand supply gap over the next few years. Under this backdrop, the study has been taken with the twin objectives of studying the trend and growth rate of production and per capita availability of milk and to forecast the production of milk through ARIMA modelling. Methods: The study is based on secondary data of milk production from 1989 to 2019. The growth was examined by estimating compound annual growth rate and the Autoregressive integrated moving average (ARIMA) methodology was applied for modeling and forecasting of milk production of India. Augmented dickey-fuller (ADF) test was used to determine the stationarity of the model after which it was used to forecast the future production. Result: The CAGR of milk production was higher in comparison to per capita availability (4.34 and 2.71 per cent per annum respectively). The forecast from the fitted ARIMA model show that the milk production is expected to be 244.7 million tonnes in 2024.
The study was conducted in the hills and valley regions of Manipur with the objectives of assessing the level of technical efficiency and determining the factors influencing the technical inefficiency of pineapple production in the state during the year 2022-23. A total of 240 farmers were interviewed in person to gather primary data. A stochastic frontier technique was used in the study to achieve the stated objectives. Results showed that pineapple production was a profitable business. However, the study’s efficiency score of 0.603 indicated that farmers were operating inefficiently. The estimated stochastic production frontier model showed an adverse association between the cost of the sapling, transportation, fertilizer, and manure to the efficiency of pineapple production. According to the technical inefficiency effect model, the only factors that positively explained the technical inefficiency in pineapple production were the farmers’ age and household size while factors like education, years of farming experience, credit availability, and contact with extension agents had a negative effect. Therefore, the study concludes that attracting youth in agriculture, extension services, and production inputs availability has to give due attention to augment the effectiveness of pineapple production across the state and nation as a whole.
Bamboo trade has played a vital role in upliftment of socio-economic status of rural communities. This paper used trend analysis, instability index and markov chain analysis for logical inferences of the bamboo products export. The results reveal an incremental trend in area, production and productivity of bamboo, indicating ample scope for entrepreneurship development in bamboo sector. There is growth in export of bamboo products over the years however, India is still a net importer of bamboo products signifying huge scope to harness the global market.
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