Evaluation of Spring Season Local and Improved Rice Genotypes on Growth, Yield, and Yield Attributing Characters in Gorkha District, Nepal

Rice cultivation faces challenges related to varietal selection, limiting the potential yield of spring rice crops. This study was conducted in the Rice Zone of Gorkha, Nepal during the spring season of 2022 with aim to evaluate the growth, yield, and yield attributing characters of different rice genotypes. The study hypothesized that significant differences exist among different rice genotypes in terms of their growth, yield, and yield attributing characters. The experiment employed a one-factor randomized complete block design (RCBD) with seven genotypes, including local varieties (Hardinath Hybrid 1, Chaite-5, CH 45, Salijudi) and pipeline genotypes (IR16L1919, IR10N118, IR86515), and replicated three times. Results indicated significant variations among genotypes in response to similar growing conditions and nutrient availability. Notably, CH 45 exhibited the highest plant height (113.50 cm), while IR16L1619 demonstrated the longest panicle length (28.56 cm) and the highest number of effective tillers (23.10). IR16L1619 also displayed the highest number of leaves (97.27 leaves) and leaf area index (8.00). Chaite-5 had the longest flag leaf (33.13 cm), while IR16L1619 recorded the highest panicle length (28.56 cm) and number of grains per panicle (270.10). Salijudi exhibited the lowest sterility percentage (7.52 %), and CH 45 displayed the highest thousand grain weight (26.40). Moreover, IR16L1619 demonstrated superior performance in terms of grain yield (8.19 t/ha), straw yield (7.12 t/ha), and biological yield (15.25 t/ha). The findings underscored the genotype-specific responses to environmental conditions, highlighting the importance of tailored varietal selection for optimal productivity

A Comprehensive Assessment of Apple Production in Jumla District, Nepal: Status, Economics, Marketing and Challenges

Apple production is a vital sector of agriculture in Nepal, significantly impacting local livelihoods and the regional economy. This study, conducted in Jumla District, Nepal, from January to July 2022, aims to comprehensively assess apple production, including its existing conditions, economic implications, marketing and challenges. The research hypothesizes that while apple production in Jumla District contributes significantly to the local economy, it faces challenges related to pest and disease management, marketing, and adoption of modern practices. Using Statistical Package for Social Science (SPSS), descriptive statistics were computed based on data collected from a sample of 80 respondents selected through simple random sampling. The result revealed that agriculture constituted the primary source of income for 73.75% of the population, with an average landholding size of 0.3428 ha and an apple-growing land area of 0.3164 ha. Income from apple production, along with vegetables and fruits, was a major income source. The average annual sales of apple production were 7.291 t/ha. Labor costs accounted for 45.67% of the total cost of apple production, with an average total production cost of NPR 238,097.2 and average gross returns of NPR 485,500. Apple productivity was 9.71 t/ha, demonstrating its economic viability with net returns of NPR 247,402.80 per ha and benefit cost ratio of 2.039. However, the study found that farm produce only sufficed for 6-9 months, with pest and disease incidence and marketing issues as major challenges. Interventions should address pest and disease management, marketing strategies, and modern practices adoption to enhance sustainable and profitable apple production in Jumla. Efforts to extend farm produce sufficiency should also be explored, highlighting apple production's potential and the need for targeted support to overcome challenges and foster sector development