Browsing by Subject "Maize"
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Item ASSESSING PRODUCTIVITY AND PROFITABILITY OF HYBRID MAIZE USING NUTRIENT EXPERT® MODEL SET IN JHAPA.(Institute of Agriculture and Animal Science (IAAS), Lamjung, 2015-06) Chauhan, SwastikaMaize is second important food crop in Nepal and its demand is increasing year by year. However, its productivity is constrained by a number of problems out of which site specific nutrition management is the most important one. Therefore, a field experiment was conducted on a farmer’s farm land at two district of Jhapa viz.Dhukurpani and Gauradha using Nutrient Expert® Maize model from 28th November 2014 to 17th May 2015. The research design was Randomized Completely Block Design with 3 treatments and 11 replication. Three treatments are NE (Nutrient Expert recommendation), GR (Government recommendation), and FP (Farmer practices). Significant difference in terms of no. of plant/m2, kernel no. /row, shelling%, test wt. and Yield at 15.5% moisture was found. Heighest yield (11.99 ton ha-1) was obtained from NE field which was followed by GR (8.67ton ha-1) and FP (7.31ton ha-1). NE based practices gives (4.68 ton) more yield and (Rs. 93545.05) more gross revenue than FP andwith comparision to GR it produced (3.32 ton ha-1) more yield and (Rs. 66404.24) more gross revenue. Comparison of Nutrient Expert® (NE) estimated attainable maize yield and gross revenue given by Nutrient Expert® hybrid maize model versus actual maize yield and gross revenue in farmer field trail NE-based fertilizer recommendations proved to be successful in reaching the yield targets estimated by the software. The actual maize yields recorded in farmer fields were higher than the NE estimated attainable yields. NE recommendation was found better over GR and FP. Higher yield and profitability from hybrid maize was obtained from NE based recommendation.Item Pest Status of Maize Zea mays (Linnaeus, 1753) in Sipadol Village of Bhaktapur District, Nepal(Central Departmental of Zoology, 2017) Shrestha, BinitaInsect pest cause serious threats to Maize farms, resulting heavy reduction in their yield. The present study focused on the insect pest of Maize (Zea mays) in the Sipadol VDC of Bhaktapur District. It was carried out in four months May, June, July and August 2016. The pests were collected through different methods such as hand picking, beating process, sweeping etc depending on size of pests. Two- way analysis of Variance (ANOVA) was used to test the significance difference in number of pest observed in different sites. Multilevel pattern analysis was performed under R 3.3.2 platform by using multipatt package to see whether there is species associated with particular month. Management practices data were collected by direct observation and also by using semi-structured questionnaires was carried out ten from each plot altogether 40 farmers from surrounding of each plot were sampled. Altogether, 16 species of pests belonging to five orders and 12 families were found. However population density of pest was higher in June. Maize stem borer (Chillo partellus) was most common and dominant species occurring almost in all months. The overall diversity index of Maize pests was 2.593 and evenness 0.935. The use of synthetic chemical pesticides is commonly used pest management practice in this area. Commonly used pesticides include Chloropyriphos 50% EC + Cypermethrin 5% EC, Furadon 3 Gr, Confidor 200 SR and Chloropyriphos 20% EC. Because of lack knowledge of biological control and others increasing trend of chemical pesticide used day by day in study area of Sipadol.