A consistent 100-seed weight QTL with pleiotropy for seed number/plant in soybean (Glycine max L.)

A consistent 100-seed weight QTL with pleiotropy for seed number/plant in soybean (Glycine max L.)


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Authors

  • GIRIRAJ KUMAWAT ICAR-Indian Institute of Soybean Research, Indore-452 001
  • SHIVAKUMAR MARANNA ICAR-Indian Institute of Soybean Research, Indore-452 001
  • HARSHA SHRIVASTAVA ICAR-Indian Institute of Soybean Research, Indore-452 001
  • ARTI YADAV ICAR-Indian Institute of Soybean Research, Indore-452 001
  • NATARAJ VENNAMPALLY ICAR-Indian Institute of Soybean Research, Indore-452 001
  • SUBHASH CHANDRA ICAR-Indian Institute of Soybean Research, Indore-452 001
  • VANGALA RAJESH ICAR-Indian Institute of Soybean Research, Indore-452 001
  • GYANESH KUMAR SATPUTE ICAR-Indian Institute of Soybean Research, Indore-452 001
  • MILIND RATNAPARKHE ICAR-Indian Institute of Soybean Research, Indore-452 001
  • SANJAY GUPTA ICAR-Indian Institute of Soybean Research, Indore-452 001

https://doi.org/10.56739/jor.v40iSpecialissue.145060

Keywords:

Pleiotropy, QTL, Seed weight, Seed number, Yield

Abstract

Seed weight and seed number/plant are important determinants of seed yield in soybean (Glycine max L.). A recombinant inbred line (RIL) population of cross EC538828 x JS97-52 was phenotyped for 100-seed weight (100-SW), seed number/plant (SNPP) and seed yield/plant (SYPP) for identifying quantitative trait loci (QTL) governing these traits. Linkage analysis using SSRs from reported QTL hotspots for 100-SW identified a consistent but pleiotropic QTL on chromosome 10. The QTL showed pleiotropy for SNPP with opposite phenotypic effect, while the pleotropic QTL doesn’t affect seed yield in consistent manner.

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References

Hina, A., Cao, Y., Song, S., Li, S., Sharmin, R. A., Elattar, M. A., et al. (2020). High-Resolution mapping in two RIL populations refines major "QTL Hotspot" regions for seed size and shape in soybean (Glycine max L.). Int. J. Mol. Sci, 21:1040 DOI: https://doi.org/10.3390/ijms21031040

Ikram, M., Han, X., Zuo, J.F., Song, J., Han, C.Y., Zhang, Y.W., Zhang, Y.M. (2020) Identification of QTNs and their candidate genes for 100-SW in soybean (Glycine max L.) using multi-locus genome-wide association studies. Genes, 11(7):714 DOI: https://doi.org/10.3390/genes11070714

Kumagai, K., Yabiku T., and Hasegawa, T. (2022) A strong negative trade-off between seed number and 100-SW stalls genetic yield gains in northern Japanese soybean cultivars in comparison with Midwestern US cultivars, Field Crops Res., 283, 108539. doi.org/10.1016/j.fcr.2022.108539. DOI: https://doi.org/10.1016/j.fcr.2022.108539

Lei, M., Li, H., Zhang, L., Wang, J. (2015). QTL ICI Mapping: Integrated Software genetic linkage map construction and quantitative trait locus mapping in bi-parental populations. The Crop. J, 3: 269-283. DOI: https://doi.org/10.1016/j.cj.2015.01.001

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Submitted

2023-11-09

Published

2023-12-14

How to Cite

GIRIRAJ KUMAWAT, SHIVAKUMAR MARANNA, HARSHA SHRIVASTAVA, ARTI YADAV, NATARAJ VENNAMPALLY, SUBHASH CHANDRA, VANGALA RAJESH, GYANESH KUMAR SATPUTE, MILIND RATNAPARKHE, & SANJAY GUPTA. (2023). A consistent 100-seed weight QTL with pleiotropy for seed number/plant in soybean (Glycine max L.): A consistent 100-seed weight QTL with pleiotropy for seed number/plant in soybean (Glycine max L.). Journal of Oilseeds Research, 40(Specialissue). https://doi.org/10.56739/jor.v40iSpecialissue.145060