Quantitative trait loci governing seed protein, oil, and linolenic acid concentration in soybean

Author:

Moore Ronald E. R.1,Wyman Chris1,Cunicelli Mia J.2,Olukolu Bode3,Sams Carl E.1,West Dennis R.1,Pantalone Vince1ORCID

Affiliation:

1. Department of Plant Sciences University of Tennessee Knoxville Tennessee USA

2. Vision Bioenergy Oilseeds Nampa Idaho USA

3. Department of Entomology and Plant Pathology University of Tennessee Knoxville Tennessee USA

Abstract

AbstractSoybean is one of the most economically important crops in the United States. Produced for its oil and protein concentration, it is readily utilized in food products for both human and livestock consumption. Since soybean was first cultivated in the United States, increased yield has been the driving factor in breeding efforts. Though yield and oil have been observed to be positively correlated, protein concentration is negatively correlated with both. An increased effort has been underway recently to produce high‐yielding cultivars that have both elevated oil and protein concentration. This has been accomplished utilizing molecular markers associated with quantitative trait loci (QTL) for both traits. To assist in this effort, more information on QTL associated with quality traits is required. In this study, 180 F4:6 recombinant inbred lines (RILs) segregating for protein, oil, and fatty acids were produced from a cross between TN12‐4098 and TN13‐4303. These lines were grown across three locations in Tennessee: Research and Education Center at Milan (RECM), Highland Rim Research and Education Center (HRREC), and East Tennessee Research and Education Center (ETREC) in 2018 and 2019. Sixteen QTL were found for protein, oil, linolenic acid, and meal protein concentration. Of these identified QTL, six were novel. Developing molecular markers associated with these QTL will assist in breeding efforts to produce high‐quality elite soybean cultivars that meet the demands of both farmers and consumers.

Funder

Tennessee Soybean Promotion Board

Publisher

Wiley

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