Factors Affecting the Decision to Adopt and Continue Best Management Practices by Broiler Producers

We analyzed survey data collected from broiler producers in Louisiana to understand the factors affecting the longevity of best management practices adoption. Results indicated variables such as future expansion potential and the length of time the farm have been with the family decreases the chance of adopting best management practices. Our results support the idea that education and income would have positive results on the entry decision to adopt best management practices.adoption, best management practices, broiler production, entry, exit, Farm Management, Livestock Production/Industries,

PRODUCTION TERMINATION AS AN ALTERNATIVE TO MITIGATE NUTRIENT POLLUTION

Nutrient runoff from agricultural land can be reduced through production termination to mitigate water pollution. The willingness to accept value to terminate the broiler production is evaluated using sample selection model. The result showed a positive relationship between the decision to participation and stated WTA value indicating the producers are willing to terminate the production but at high cost. The farmer’s perception about government role on water pollution, farm income, information and awareness about other pollution reduction alternatives play a major role on stated WTA amount as well as on participation decision.Environmental Economics and Policy,

BROILER PRODUCERS’ WILLINGNESS TO PAY TO MANAGE NUTRIENT POLLUTION

Economic incentives or disincentives play a major role on encouraging producers to implement environmentally benign production practices. We evaluated producers’ willingness to pay (WTP) value to represent the level of disincentives that motivate farmers to mitigate nutrient pollution. The result obtained by using ordered response model showed that farm size, farm income, and land available to spread litter are major variables that determine the producers’ WTP.Environmental Economics and Policy,

Calibrating Online Survey Sample for Economic Impact Analysis

Online surveys have emerged as low-cost data collection approach in empirical researches; however, the validity of data remains questionable. Therefore, we employed a stochastic frontier estimation method to calibrate online recreational expenditure. Study results suggested the presence of inefficiency on online surveys. Analysis was extended to estimate economic impact of nature based recreation on a local economy.calibration, online survey, onsite survey, stochastic frontier approach, Research Methods/ Statistical Methods, Resource /Energy Economics and Policy,

Does program linking with insurance makes agriculture insurance sustainable?

Agriculture insurance is most common forms of risk transfer in agriculture. It is often compulsory for borrowers of agricultural loans in low and middle income countries. This study tries to find out the status of compulsory agriculture insurance in Nepal and its sustainability through answering question “are compulsory agriculture insurance programs making agricultural insurance sustainable? Or we have to think differently for its sustainability. Household survey were conducted using pre-tested semi structured questionnaire in eight districts. Altogether 377 insurer farmers (132 crop and 245 livestock farmers) were selected from the list of target population using simple random sampling technique. Similarly, five cases were selected from the study districts. Result shows that Government of Nepal (GoN) has developed both cost of production and value based insurance products based on farmers demand. Basically, premium rate is fixed as five percent to cost of production based and seven percent to value based insurance for most of crops and livestock. Different governments programs such as youth self-employment program, youth focused program, spring rice promotion program and other grant/subsidy programs under different mega projects of GoN have started to link agriculture insurance with their programs. Insurance has been made mandatory to get such any subsidy support from the government for promoting agriculture insurance simultaneously. However, this study found that this strategy did not adequately work. But if they feel the enterprises is risky and realize the importance of agriculture insurance and can get higher returns from the enterprises, they were willing to participate in agriculture insurance. Most of farmers who participated in government grant program have limited understanding of crop insurance so that they have discontinued insurance after the end of grant/subsidy program. Therefore, it is necessary to revisit the existing provision of grant linked insurance and need to focus more on creating awareness on importance of agriculture insurance for its sustainability

Potential of Crop Simulation Models to Increase Food and Nutrition Security Under a Changing Climate in Nepal

With current trends of increasing population, decreasing arable land, and a low yearly increment rate of cereal productivity, Nepal has an annual deficit of >1.3 million tons of edible rice, wheat, and maize. This indicates the urgent need for demand-led agricultural interventions for improving cereals productivity for food security. Crop simulation models and DSS tools have potential to predict potential yields, identify yield gaps, and help make decisions for improved crop, nutrient, water and pest management. Models can assess the impact of climate change, and help develop adaptation and mitigation measures to lesses the impact of climate change. To date, no review work has been conducted on the potential applications of crop simulation models and their relevance in Nepal. The objective of this chapter is to review and synthesize the relevant studies on the development and application of crop simulation models for major cereal crops: rice, wheat, and maize. We reviewed around 95 published papers and reports from South Asia and Nepal available in Scopus, SpringerLink, and ScienceDirect using the Google search engine. Analysis revealed that yield gaps (potential minus farmers' field yields) of 4.9–9.0, 3.1–6.9, and 4.5–12.5 t ha−1 exist in rice, wheat, and maize crops, respectively. For achieving self-sufficiency in cereal grains, the average national productivity of rice, wheat, and maize needs to be increased to 5.7, 3.9, and 4.9 t ha−1, respectively by 2030. Based on the review, climate change has both positive and negative consequences on cereal production across all agro-ecological zones. Crop simulation models have been applied for enhancing crop productivity and exploring adaptation strategies for climate change resilience. Models can generate various recommendations related to biophysical factors: crop, water, tillage, nutrient, and pest management, crop yield, and weather forecasting. Furthermore, models have shown the potential to determine the effects of climate change on crop productivity across a range of environments in Nepal. In conclusion, crop simulation models could be useful decision support tools for policy planning and implementation, increasing efficiency in research, prioritizing research and extension interventions for increasing crop yields, and the way forward to achieve food and nutritional security and some of the Sustainable Development Goals (particularly #1, #2 and #13)

Returns to Potato Research Investment in Nepal

Agricultural research plays a significant role in increment in productivity and contributes to food security. Very few studies on the impact of public research spending on different sectors and commodities in Nepal has been documented. This study was designed to estimate the adoption lags of improved potato varieties and benefits generated by potato improvement research in Nepal. More specifically, the study answers two basic questions: (i) whether investment in potato research is justifiable? and (ii) how long is it taking to replace old improved varieties? We took public annual potato research investments of Nepal from the Fiscal year 2001 to 2017 from Nepal Agricultural Research Council (NARC). The household survey was carried out to estimate the potato varieties coverage in Nepal in 2017. Other secondary data were sourced from the Ministry of Finance, Ministry of Agricultural and Livestock Development, FAO stat, Nepal Rastra Bank and NARC to complement the analysis. We have used a simple economic framework to estimate the benefits generated from agricultural research. The estimated benefit and cost streams were used to calculate Benefit-Cost Ratio (BCR) and Net Present Value (NPV).  Results showed that the majority of the potato researchers had done research related to crop husbandry (seed production and crop managements); while the limited number of researchers had specialized in breeding activities. The annual growth rate of potato productivity was 214.49 kg per annum per ha which had increased at the rate of 1.76 percent per annum compound growth rate. The results revealed that the average weighted age of improved potato varieties was 21.83 years and each NPR. investment on potato research has given 508 NPR. and NPR. 13760 million NPV at a 12 percent discount factor during the last 17 years. Similarly, the contribution of potato research to GDP and AGDP was found 0.323% and 0.989% respectively. Therefore, future investment and focus should be concentrated on potato research and scaling up activities, and reducing variety adoption lag to obtain additional benefits from potato research investment

Behavioural science principles for scaling-up zero tillage wheat and maize in the Eastern Terai region of Nepal

Farmers have a set of convictions and tend to do what their forefathers had practiced. By identifying their beliefs and designing appropriate ways of upscaling to convince them of new and improved practices, we can improve the adoption of zero tillage technology for maize and wheat. Small and fragmented landholdings that resulted from the cultural system of distributing land to heirs are diverse in their cropping requirements. Moreover, farmers are risk-averse and do not believe easily in new technologies. Traditional extension approaches have not been effective in upscaling these technologies. A new way of thinking based on behavioural science can provide some insights and guidelines for improving the effectiveness of technology adoption. Understanding farmers' socioeconomic circumstances and their decision-making system at the household and society level can help in designing upscaling approaches. Approaches such as capitalising on social bonding, use of established technology leaders, and use of farmers' organizations can improve adoption. Recommended strategies include encouraging a comprehensive contracting system of service provision, using active community influential local leaders in technology expansion, taking group and social identity approaches in technology extension, and capacity building programs for service providers/operators and farmers to help raise confidence and to remove perceived barriers to technology adoption. &nbsp

Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya

The Mugling–Narayanghat road section falls within the Lesser Himalaya and Siwalik zones of Central Nepal Himalaya and is highly deformed by the presence of numerous faults and folds. Over the years, this road section and its surrounding area have experienced repeated landslide activities. For that reason, landslide susceptibility zonation is essential for roadside slope disaster management and for planning further development activities. The main goal of this study was to investigate the application of the frequency ratio (FR), statistical index (SI), and weights-of-evidence (WoE) approaches for landslide susceptibility mapping of this road section and its surrounding area. For this purpose, the input layers of the landslide conditioning factors were prepared in the first stage. A landslide inventory map was prepared using earlier reports, aerial photographs interpretation, and multiple field surveys. A total of 438 landslide locations were detected. Out these, 295 (67 %) landslides were randomly selected as training data for the modeling using FR, SI, and WoE models and the remaining 143 (33 %) were used for the validation purposes. The landslide conditioning factors considered for the study area are slope gradient, slope aspect, plan curvature, altitude, stream power index, topographic wetness index, lithology, land use, distance from faults, distance from rivers, and distance from highway. The results were validated using area under the curve (AUC) analysis. From the analysis, it is seen that the FR model with a success rate of 76.8 % and predictive accuracy of 75.4 % performs better than WoE (success rate, 75.6 %; predictive accuracy, 74.9 %) and SI (success rate, 75.5 %; predictive accuracy, 74.6 %) models. Overall, all the models showed almost similar results. The resultant susceptibility maps can be useful for general land use planning

PRODUCTION TERMINATION AS AN ALTERNATIVE TO MITIGATE NUTRIENT POLLUTION

Nutrient runoff from agricultural land can be reduced through production termination to mitigate water pollution. The willingness to accept value to terminate the broiler production is evaluated using sample selection model. The result showed a positive relationship between the decision to participation and stated WTA value indicating the producers are willing to terminate the production but at high cost. The farmer’s perception about government role on water pollution, farm income, information and awareness about other pollution reduction alternatives play a major role on stated WTA amount as well as on participation decision