The adaptability of soybean high yield varieties and farmer preferences in dry land area

Author:

Yusron Muchamad,Handoko Sigid,Tan Siti Sehat

Abstract

Abstract Soybean development is currently directed to dry land areas. To support this program, IAARD has released some new varieties with a yield potential above 3 tons/ha. The aim of this study was to know the adaptability of new varieties of soybean and farmers preference in dry land areas. The field experiment was conducted in Grobogan Regency, using factorial randomized block design with two factors. The first factor was fertilizer dosage combined with bio fertilizer and the second factor was five soybean varieties. Farmer preference test was performed by interviewing the respondents. Measurements of the farmer attitudes, opinions, and perceptions was done using Likert scale. The results showed that Grobogan variety was better adapted to the dry land conditions of Grobogan Regency. The application of fertilizers combined with biofertilizers increased soybean growth and production. The highest plant (52.42 cm) and the highest soybean yield (2.165 t/ha) were obtained in the farmer’s dosage treatment combined with biofertilizers. The order of farmers preference for the tested varieties was Grobogan, Biosoy, Devon, Dega and Detap. These preferences were mostly based on crop productivity, seed size, seed availability, and ease of selling the yield.

Publisher

IOP Publishing

Subject

General Medicine

Reference25 articles.

1. Pengenalan dan karakteristik varietas unggul kedelai. Kedelai: Teknik Produksi dan Pengembangan;Susanto G,2007

2. Potensi dan ketersediaan lahan untuk pengembangan kedelai di Indonesia;Warta Penelitian dan Pengembangan Pertanian,2008

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