Acta Scientific Agriculture

Research ArticleVolume 2 Issue 7

Analysis of Growth and Yield Attributing Characteristic of Direct Seeded Upland Rice Genotypes in Western Hills of Nepal

Arjun Prakash Poude*

Scientist (S-1), Outreach Research Division, Nepal Agricultural Research Council (NARC), Khumaltar, Lalitpur, Nepal

*Corresponding Author: Arjun Prakash Poudel, Scientist (S-1), Outreach Research Division, Nepal Agricultural Research Council (NARC), Khumaltar, Lalitpur, Nepal.

Received: May 31, 2018; Published: June 20, 2018

Citation: Arjun Prakash Poudel. “Analysis of Growth and Yield Attributing Characteristic of Direct Seeded Upland Rice Genotypes in Western Hills of Nepal". Acta Scientific Agriculture 2.7 (2018).

Abstract

  Rice is the major cereal crop in Nepal. It ranks first in area and production among all cereal crops of Nepal. The most of rice cultivation of Nepal are rainfed condition. The farmers depend on rainfall for production of upland rice mostly in western Nepal. The varietal performance of rainfed rice with agronomic manipulation was evaluated at farmers’ field during 2005/2006. Ten different local and improved genotypes were evaluated in direct seeded upland conditions. The design of experiment was Randomized Completely Block Design (RCBD) with plot size of 7 x 3 m2 in 4 replications. Measurement of growth and yield attributing data were taken and these data were found significantly different among the treatments. The maximum grain yield (3.79 t/ha) was obtained in Ghaiya-2 followed by IR 55435-5 (3.69 t/ha), Radha-32 (3.48 t/ha) and the minimum grain yield was recorded in cultivar Rato Kanake (2.26 t/ha). Higher grain yield was recorded in improved genotypes than local. While genotypes namely Pakhe Jhinuwa, which is used as local check perform well as compared to other local genotypes in terms of yield.

Keywords: Upland Rice; Rainfed; Growth and Yield Attributing Characters

Copyright: © 2018 Arjun Prakash Poudel. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



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