Rice production in Chitwan district of Nepal: An analysis from economic and environmental perspectives

Rice (Oryza sativa L.) is the major staple food in the Nepalese context. Chitwan district of Nepal was purposively selected to analyze the rice production from the socio-economic and environmental perspective. A total of 100 rice growing farmers, 50 organic and 50 inorganic were selected as the sample for the purpose of the study using the simple random method of sampling. Primary data were collected through a pre-tested semi-structure interview schedule and key informant interviews; secondary data were collected reviewing related publications. Descriptive statistics, multiple regression and chi-square test were used for data analysis. The multiple regression revealed that the four explanatory variables included in the model: age of the household head, primary occupation of the household head, number of family members involved in agriculture and subsidy in inputs for rice farming were found to have positive and statistically significant effect on rice yield (P<0.01). Moreover, chi-square test revealed that the farming practices that contributes to climate change mitigation such as: minimum tillage practice (P<0.05), crop diversification (P<0.01), green manuring (P<0.01), agro forestry practice (P<0.05), incorporating crop residues (P<0.1), weed management practice (P<0.01) and pest management practice (P<0.01)were found to be well adopted by the organic rice farmers, in contrast, the farming practices of inorganic rice farmers were statistically and significantly different in this respect. Government should make such policy that could grave the attention of the Nepalese people towards organic agriculture; moreover, encouraging them to make it their primary occupation

Factors affecting the productivity of coffee in Gulmi and Arghakhanchi districts of Nepal

Coffee is one of the major potential cash crops with lucrative export value grown in mid-hills of Nepal. Nepalese coffee production has suffered long by low productivity. Research was conducted from February to May, 2019 to analyze the factors affecting the productivity of coffee in Arghakhanchi and Gulmi districts of Nepal. These two districts were, purposively selected for this study taking account of comparative advantage and past studies recommendations for coffee sector. Altogether, 100 coffee growing households 50 from each, Arghakhanchi and Gulmi, were sampled by using multistage sampling technique. A pre-tested semi-structured interview schedule was used to collect the primary information while secondary information was collected reviewing the relevant publications. Ordinary Least Square (OLS) regression model was used to determine the factors affecting the productivity of coffee. The study revealed that the number of active family members involved in coffee production (0.000), adoption of income diversification through intercropping (0.005), training (0.072) and technical assistance (0.021) had positive and significant effect on coffee productivity. Encouraging the household to have coffee production as their primary occupation, providing technical assistance on rational land utilization and intercropping and strengthening the skill and knowledge of farmers through trainings could significantly support in increasing the productivity of coffee

Socio-economics of wheat production in Kailali and Sunsari districts of Nepal

For socio-economic assessment on wheat production, research was conducted from March to June, 2019 in two major wheat growing districts of Nepal, Kailai and sunsari. The primary information was collected by face to face interview using the pre-tested semi-structured interview schedule, two Key Informant Surveys were also done.In addition, the secondary information were collected from the review of related literatures. The survey areas were selected by consultating with Agriculture Knowledge Centre and agricultural officials of the local government; sample were selected by using simple random sampling. All total, 194 samples were selected for this study; the outliers and incomplete responses were omitted. The descriptive statistics revealed that Nepal 297 (66.16 %) has the highest area coverage in Sunsari while Gautam (36.50%) has the highest coverage in Kailali. Multiple regression model revealed that wheat cultivated area (p= 0.000), adoption of NARC released varieties (p= 0.000), gender of the household head (p= 0.017), age of the household head (p= 0.040), membership of organization (p= 0.094) and number of family members between age group 15 to 59 years (p= 0.085) have significant effect on wheat production. Furthermore, the unpaired t-test showed that the mean productivity of wheat in Kailali (2.99 Mt./ha) is significantly higher than that of Sunsari (2.81t./ha) at 5% level of significance. To increase the wheat productivity, the concerned government agricultural institutions should: assure access to NARC released improved varieties, make policy to consolidate the fragmented land, encourage the economically active population and the household heads towards wheat production by providing the efficient technical and financial support

Adoption of improved wheat varieties in eastern and western Terai of Nepal

The research was conducted from March to May 2019 for assessment on adoption of improved wheat varieties in two major wheat growing districts of Nepal, Sunsari, and Kailali; one representing eastern and another western Terai. A pre-tested interview schedule was used to collect the primary information; in addition, two Key Informant Surveys were performed. Furthermore, relevant literatures were reviewed for secondary information. The simple random method of sampling was used within the selected areas that were identified in consultation with Agriculture Knowledge Centre and agricultural officials of the local government. Altogether, 194 samples were taken for the purpose of the study, omitting the outliers and incomplete responses. Descriptive statistics, probit regression, and indexing were used for data analysis. Probit econometric model revealed that membership dummy (1% level), age (1% level) number of family members involved in agriculture (1% level), subsidy dummy (5% level), number of schooling years (5%) and loan dummy (10% level) significantly determined the adoption of improved wheat varieties developed after NARC establishment. Furthermore, indexing identified- lack of availability of quality improved seeds (I= 0.80) as the major problem associated with the wheat production followed by poor availability of fertilizers (0.77), labour shortage (0.57), lack of proper irrigation (0.46) and lack of agricultural machines (0.39). The government agricultural institutions should assure access to quality seeds and fertilizers to the farmers; in addition, subsidy on irrigation and agricultural machines allied with agricultural loan to the educated youths could be the point of attraction  for wheat cultivation which leads to increased wheat productivity

Adoption of certain improved varieties of wheat (Triticum aestivum L.) in seven different provinces of Nepal

This study used farm level data to analyze the adoption of improved wheat varieties in Nepal. The seven districts each having the highest wheat area coverage in their respective provinces was selected. Pre-tested interview schedule was used to collect the primary information. The relevant literatures were reviewed for secondary information. The simple random method of sampling was used and 651 samples were taken. Descriptive statistics, probit regression and indexing were applied. This study showed that 94.1% of the area was covered by the improved wheat varieties, while 3.3% by local and 2.6% by the Indian varieties. In addition, of the improved varieties, NL 297 had the highest area coverage (30.88 %) followed by Vijay (23.24%), Gautam (12.95%), NL 971 (8.94%) and Aditya (5.34%) respectively. Probit econometric model revealed that membership of organization (1% level of significance), subsidy by the government (1% level), gender of the household head (5% level) and family member in foreign employment (10%) significantly determined the adoption of improved wheat varieties developed after NARC establishment. The indexing identified and ranked- lack of availability of quality improved seeds (I= 0.75) as the first followed by poor availability of fertilizers (0.65), labour shortage (0.61), lack of proper irrigation (0.55) and lack of agricultural machines (0.45) that were associated wheat production in study site. The concerned government institutions should assure the availability of quality improved seeds and fertilizers to the farmers; the subsidy on irrigation and agricultural machines allied with financial grant could attract the farmers towards wheat cultivation which ultimately contributes to increase wheat productivity