Resistance Level of Soybean Genotypes against Pod Sucking Bug (Riptortus linearis F. Hemiptera: Alydidae)

Author:

. Purwantoro,Sulistyo Apri,Mejaya Made J.,Soehendi Rudy,. Trustinah,. Suyamto,. Nuryati

Abstract

Background: Pod sucking bug (Riptortus linearis F. Hemiptera: Alydidae) is one of the major insect pest in soybean that cause yield loss up to 79%. This study was carried out to identify the level of resistance to pod sucking bug on soybean genotypes. Methods: Field research was conducted at Muneng Experimental Farm, Probolinggo, East Java, Indonesia in the Dry Season (March-June) 2019. A randomized block design repeated two times were used on a total of 16 soybean genotypes included two varieties (Anjasmoro and Gema) as check. The experiment consisted of two growing environments namely controlled environment (P1): two insecticides with active ingredients Deltamethrin and Fipronil were applied to soybean crops alternately; and uncontrolled environment (P0): no insecticide was applied to soybean crops Observations were recorded on the intensity of borer attack and dry seed weight. Result: In uncontrolled environment (P0), the percentage number of infected seed to healthy seed was higher than that in controlled environment (P1). The mean effectiveness of control of pod sucking was 35% which was based on infestation intensity of seed number/plant infected in in two environments. The total seed weight/plant in controlled environment (P1) was 95% higher than that in uncontrolled environment (P0). Based on infestation intensity in uncontrolled environment (P0), five genotypes (G1 to G5) were categorized as resistant against pod sucking bug while the check varieties Anjasmoro and Gema were categorized as moderate resistant and susceptible, respectively.

Publisher

Agricultural Research Communication Center

Subject

Plant Science,Soil Science,Agronomy and Crop Science

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