A field study was conducted using Amaranthus to assess the impact of increased temperature in polyhouse with three different treatments, viz. 100% organic, 100% inorganic and 50% organic + 50% inorganic nutrition on growth, yield and carbon dioxide (CO 2 ) evolution compared to that of open natural condition. Among the different treatments applied, 100% application of organic manure resulted in maximum CO 2 emission in both open (538 mg) and polyhouse conditions (551 mg). The lowest value of CO 2 evolution (266 mg) was observed with 100% application of inorganic fertilizers under polyhouse conditions. In all the three treatments, CO 2 evolution almost reached a plateau and stabilized during the last two observations. At the last interval, CO 2 evolution ranged from 4.00 to 6.80 mg in all the treatments. However, cumulative CO 2 evolution showed that the emission was higher under open natural conditions (434 mg) compared to the polyhouse conditions (398 mg) at elevated temperature. This indicated that the microbial respiration was higher under natural conditions. Ambient air temperature and soil temperature were higher under polyhouse condition than open natural condition. However, soil moisture was higher under open condition than polyhouse condition for most observations. It could be observed from the experiment that Amaranthus production declined with increase in temperature, and maximum yield was obtained with 100% application of organic manure under open condition. Under elevated temperature condition in polyhouse, 50% application of inorganic fertilizer + 50% application of organic manure (T 3 ) registered the maximum crop production. This suggests that sufficient mitigation strategies need to be adopted for sustaining crop production under changing climate scenario.
Global climate change has considerable implications in indian agriculture and hence food security and farmers livelihood. As a result there will be a threatened in food security. In this context, a study on “Impact of climate change on banana production in Thiruvananthapuram district of Kerala, India” was undertaken. The objective of the study was to quantify the impact of climate change on yield of banana in Thiruvananthapuram district of Kerala, India. The impact of climate change on banana production was quantified by using multiple linear regression model for Thiruvananthapuram district. Quarterly data on climatic variables such as temperature, rainfall, relative humidity and wind speed for a period of 31 years from 1991 to 2021 were taken as independent variables and that of production of banana from Thiruvananthapuram was taken as the dependent variable. To determine the growth trend and variability, CAGR and coefficient of variation were calculated for the area, production, productivity, and climatic variables. It showed that Q4 (October to December) temperature was positively influencing and significant at 1 per cent level of significance. This means that one per cent increase in temperature during Q4 will increase the production by 13.9 per cent and one per cent increase in rainfall during Q4 will increase the production of banana by 0.42 per cent due to optimum temperature and rainfall. Positive trend in the growth of area (5.35 per cent per annum) and production (2.86 per cent per annum) were observed in spite of having a negative trend in productivity (-2.36 per cent per annum). The impact of climate change has positive effect on banana production in Thiruvananthapuram district. Increase in Q4 temperature resulted in increased production of banana in the district.
The ecosystem services provided by wetlands can be direct or indirect. The direct services can be mostly valued through market prices, but the indirect service like aesthetic beauty and its impact on property prices surrounding the natural resource cannot be directly measured. To single out the economic effect of particular amenity which influenced the land property prices, the advanced valuation technique Hedonic property pricing was most popularly used. In this study, it was attempted to assess using the hedonic property pricing technique, the impact of the presence of the freshwater body, the Vellayani Lake on land property prices surrounding it. The results revealed that the marginal implicit price of getting one cent of land with lake view evaluated at mean property price of Rs. 2,44250 was Rs.79171. The total aesthetic value of land with the scenic beauty of the lake was Rs. 275.92 crores.
Aims : To assess the risk perception of pineapple farmers in the context of Covid 19. Place and Duration of the Study: Muvattupuzha block panchayat in Ernakulam district in Kerala between September 2021 to September 2022. Methodology: The data relating to the study were collected during September 2021 from 120 pineapple farmers, using a well-structured interview schedule. Based on a four-point Likert scale, a Standardized Covid -19 Risk Perception Index (SCovRPI) was developed to assess the risk perception against fourteen identified risks faced by pineapple farmers during Covid 19. Farmers were asked to score the risks based on their level of perception. Results: Realisation of low price, restrictions in transportation, low demand for pineapple in market, disruption in farming activities and non-availability of adequate hired labour are the major risks perceived by pineapple farmers during Covid 19. Conclusion: findings of the study are relevant for policymakers as they work to seek remedial measures that enhance the living standards and resilience of pineapple farmers.
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