TY - JOUR
T1 - Mapping QTLs for 100-seed weight in an interspecific soybean cross of Williams 82 (Glycine max) and PI 366121 (Glycine soja)
AU - Kulkarni, Krishnanand P.
AU - Asekova, Sovetgul
AU - Lee, Dong Ho
AU - Bilyeu, Kristin
AU - Song, Jong Tae
AU - Lee, Jeong Dong
N1 - Publisher Copyright:
© CSIRO 2017.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - QTL mapping
KW - Seed quality
KW - Wild soybean
UR - http://www.scopus.com/inward/record.url?scp=85033791367&partnerID=8YFLogxK
U2 - 10.1071/CP16246
DO - 10.1071/CP16246
M3 - Article
AN - SCOPUS:85033791367
SN - 1836-0947
VL - 68
SP - 148
EP - 155
JO - Crop and Pasture Science
JF - Crop and Pasture Science
IS - 2
ER -