Bio-intensive integrated control of tungro disease in the rice field

Author:

Rosida Nur,Mugiasih Ani,Muliadi Ahmad

Abstract

This research aims to gain the technology of bio-intensive integrated control of tungro. The experiments were done in a split-plot design with three replications. The main plot consisted of Bio-intensive integrated control, compared to Conventional control. The subplots are: 1) the susceptible varieties (TN1), 2) green leafhopper–resistant varieties (IR64), and 3) tungro resistant varieties (Inpari 9 Elo). The subplots are 10 m x 10 m, and every subplot is replicated three times. Variables observed were the population density of green leafhopper (GLH) and the predators, the percentage of tungro incidence, and the grain yield. The results showed that the population of GLH in the plots of bio-intensive integrated control (27.32, 2.34, 4.83, and 5.16) was lower than the population of GLH in conventional control (34.00, 21.17, 7.84, and 6.50). The GLH population density tends to be higher in varieties TN1 than the other varieties both in bio-intensive and conventional control. It is found that 12 species of predator exist in all varieties of bio-intensive control and conventional plots. At 8 WAT the infection of RTV on all varieties in bio-intensive plot control is lower (0.67 - 2.67%) than the incidence of tungro in conventional plot control (3.00 - 8.67%).

Publisher

EDP Sciences

Reference13 articles.

1. PUSDATIN (Pusat Data dan Sistem Informasi Pertanian). Statistics of Climate, Crop Pest and Climate Change Impact 2014-2017 (Accessed 16 Januari 2018).

2. BBPOPT. Prakiraan Serangan Tungro di Indonesia MT 2019-2020. https://bbpopt.id/index.php/2020/04/09/prakiraan-serangan-tungro-di-indonesia-mt-2019-2020/ (Accessed 28 April 2020).

3. DITLIN (Direktorat Perlindungan Tanaman Pangan). 2019. Laporan Serangan OPT dan DPI Direktorat Perlindungan Tanaman Pangan Periode 11 Oktober 2019 (Luas Serangan Organisme Penganggu Tumbuhan (OPT) Utama pada Tanaman Padi). http://ditlin.tanamanpangan.pertanian.go.id/index.php/artikel/opt_dan_dpi (Accessed 20 December 2019).

4. Rosida N., Kuswinanti T., Amin N., Nasruddin A.. J. Biol. Sci. 20, 4 (2020).

5. Bunawan , Hamidun L. Dusik S.N. Bunawan M.M. Amin. World Applied Sci. J. 31, 6 (2014).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3