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Euphytica

, 214:158 | Cite as

Genetic analysis of edamame seed composition and trait relationships in soybean lines

  • Guo-Liang JiangEmail author
  • Laban K. Rutto
  • Shuxin Ren
  • Ronald A. Bowen
  • Haley Berry
  • Kyle Epps
Article
  • 176 Downloads

Abstract

Edamame, a vegetable or specialty soybean (Glycine max) with high nutritional and market value, is relatively new to North America. Because of its health and nutritional benefits and globalized trade, the edamame market and acreage in the United States are steadily increasing. To facilitate edamame breeding and commercial production, we genetically analyzed edamame seed composition using 86 breeding lines and cultivars developed in the U.S. Significant genotypic differences based on a single year or 2-year joint analysis were observed for most traits investigated, including protein, oil, dietary fiber, starch, sucrose, stachyose and total sugar content. No significant genotypic difference was observed for ash content in both years and for raffinose content in year 2016. Yearly differences were also significant except for sucrose, stachyose and total sugar. Genotype-by-year interaction was significant for protein, sucrose, raffinose and total sugar, but insignificant for other traits. The heritability was high and relatively stable for protein and oil content, followed by stachyose content, but was low for ash and starch content. The heritability for sucrose, total sugar and dietary fiber content varied from 38 to 75%. Genotypic correlations were insignificant among most traits. However, protein content was negatively correlated with oil content and dietary fiber, but positively associated with stachyose. Oil content was negatively correlated with starch and individual sugars. Although positive phenotypic or Pearson’s correlation existed between total sugar content and individual sugars, and between sucrose and starch content, their genotypic correlations were insignificant.

Keywords

Edamame Vegetable soybean Seed composition Heritability Genetic correlation 

Notes

Acknowledgements

This study was supported in part by USDA-NIFA Evans-Allen Research Program and USDA-NIFA Capacity Building Grant (CBG) Program (funding awarded to G-L Jiang). We are grateful to the Virginia State University students Rameka Tylor and Zhane Slade for their assistance on the projects. We would also thank Dr. James B. Holland, USDA-ARS Plant Science Research Unit and Department of Crop and Soil Sciences at North Carolina State University, for his advice on the SAS program in analysis of genotypic correlation. This article is a contribution of the Virginia State University, Agricultural Research Station (Journal Series No. 351).

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Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  • Guo-Liang Jiang
    • 1
    Email author
  • Laban K. Rutto
    • 1
  • Shuxin Ren
    • 1
  • Ronald A. Bowen
    • 1
  • Haley Berry
    • 1
  • Kyle Epps
    • 1
  1. 1.Agricultural Research StationVirginia State UniversityPetersburgUSA

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