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Quantitative Assessment of Wheat Pollen Shed by Digital Image Analysis of Trapped Airborne Pollen Grains | OMICS International| Abstract
ISSN: 2329-8863

Advances in Crop Science and Technology
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  • Research Article   
  • Adv Crop Sci Tech 2013, Vol 2(1): 119
  • DOI: 10.4172/2329-8863.1000119

Quantitative Assessment of Wheat Pollen Shed by Digital Image Analysis of Trapped Airborne Pollen Grains

Katja Kempe1, Anastassia Boudichevskaia1, Robert Jerchel1, Dmitri Pescianschi1, Renate Schmidt1, Martin Kirchhoff2, Ralf Schachschneider2 and Mario Gils1*
1Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Germany
2Nordsaat Saatzucht GmbH, Böhnshauser Straße 1, D-38895 Langenstein, OT Böhnshausen, Germany
*Corresponding Author : Mario Gils, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Germany, Tel: +49 (0)39482 5 343, Email: [email protected]

Received Date: Nov 16, 2013 / Accepted Date: Dec 17, 2013 / Published Date: Dec 19, 2013

Abstract

The objective of the present study was to develop a technique for quantifying the dynamics of wheat pollen shed under field conditions. Pollen traps with an adhesive film were used to assess the relative pollen shed of 12 winter wheat lines. Quantitative measurements were performed in 2012 and 2013 over a period of up to 20 days. The amounts of trapped pollen were automatically determined using a customized image analysis program. We demonstrated that this method is suitable for the assessment of wheat pollen shed. The possible impact of the technical advances revealed in this study for the selection of pollinators in routine wheat breeding programs is discussed.

Keywords: Pollen shed, Pollen traps, Digital image analysis, Field trials, Hybrid wheat

Citation: Kempe K, Boudichevskaia A, Jerchel R, Pescianschi D, Schmidt R, et al. (2013) Quantitative Assessment of Wheat Pollen Shed by Digital Image Analysis of Trapped Airborne Pollen Grains. Adv Crop Sci Tech 2:119. Doi: 10.4172/2329-8863.1000119

Copyright:  © 2013 Kempe K, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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