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Haploid differentiation in maize kernels based on fluorescence imaging
Plant Breeding
  • Brett W. Boote, Iowa State University
  • Daniel J. Freppon, Iowa State University
  • Gerald N. De La Fuente, Iowa State University
  • Thomas Lubberstedt, Iowa State University
  • Basil J. Nikolau, Iowa State University
  • Emily A. Smith, Iowa State University
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Publication Version
Accepted Manuscript
Publication Date

A new fluorescence-based method for inbred haploid differentiation in maize kernels was developed by utilizing the R1-nj color marker in combination with fluorescence micro-spectroscopy and imaging. Seven inbred lines with varying R1-nj expression were used in this study. The fluorescence response of the diploid kernels at the embryonic dye spot was shown to simultaneously exhibit lower intensity and occur at a higher wavelength than the fluorescence of the dye-lacking haploid embryos. Intensity and area thresholds were applied to fluorescence images to sort the haploids from mixed sample populations, and sorting efficiencies of greater than 80% were achieved in all seven inbred lines (with values greater than 90% for five lines). The potential for high throughput sorting when fluorescence imaging is combined with existing technologies for seed handling as well as high sorting efficiency may make fluorescence a viable and promising alternative to current sorting methods for some inbred lines.


This is the peer reviewed version of the following article: Boote, Brett W., Daniel J. Freppon, Gerald N. De La Fuente, Thomas Lübberstedt, Basil J. Nikolau, and Emily A. Smith. "Haploid differentiation in maize kernels based on fluorescence imaging." Plant Breeding 135, no. 4 (2016): 439-445, which has been published in final form at doi: 10.1111/pbr.12382. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.

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Blackwell Verlag GmbH
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Citation Information
Brett W. Boote, Daniel J. Freppon, Gerald N. De La Fuente, Thomas Lubberstedt, et al.. "Haploid differentiation in maize kernels based on fluorescence imaging" Plant Breeding Vol. 135 Iss. 4 (2016) p. 439 - 445
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