Mapping QTLs for 100-seed weight in an interspecific soybean cross of Williams 82 (Glycine max) and PI 366121 (Glycine soja)

Krishnanand P. Kulkarni, Sovetgul Asekova, Dong Ho Lee, Kristin Bilyeu, Jong Tae Song, Jeong Dong Lee*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

Seed weight can be an important component for soybean quality and yield. The objective of the present study was to identify quantitative trait loci (QTLs) for 100-seed weight by using 169 recombinant inbred lines (RILs) derived from the cross Williams 82 × PI 366121. The parental lines and RILs were grown for four consecutive years (2012-15) in the field. The seeds were harvested after maturity, dried and used to measure 100-seed weight. Analysis of variance indicated significant differences among the RILs for 100-seed weight. The environment had significant effect on seed-weight expression as indicated by the genotype × environment interaction. QTL analysis employing inclusive composite interval mapping of additive QTLs implemented in QTL IciMapping (Version 4.1) identified nine QTLs (LOD >3) on chromosomes 1, 2, 6, 8, 13, 14, 17 and 20. The individual QTLs explained phenotypic variation in the range 6.1-12.4%. The QTLs were detected in one or two environments, indicating major influence of the growing environment on seed-weight expression. Four QTLs identified in this study, qSW-02-1, qSW-06-1, qSW-13-1 and qSW-14-1, were found to be new QTLs. The findings of the study may be helpful to reveal the molecular genetic basis of the seed-weight trait in soybean.

Original languageEnglish
Pages (from-to)148-155
Number of pages8
JournalCrop and Pasture Science
Volume68
Issue number2
DOIs
Publication statusPublished - 2017
Externally publishedYes

Keywords

  • QTL mapping
  • Seed quality
  • Wild soybean

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Plant Science

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