Root nodule counting method

Abstract

The invention discloses a root nodule counting method. The root nodule counting method provided by the invention is characterized in that a root nodule spontaneous fluorescence imaging principle is utilized for counting root nodules. The root nodule counting method comprises the steps of taking a picture of roots of a plant with root nodules by using a fluorescence imaging system and then counting, wherein excitation wavelength of the adopted excitation light source is 420-532nm, and emission wavelength of fluorescence is 500-700nm. The root nodule counting method disclosed by the invention has the advantages that imaging and counting on in vivo and in vitro root nodules can be carried out, a counting result is accurate and efficient, and counting time is greatly shortened; and in vivo imaging is more beneficial to dynamic tracking on the root nodules of a living plant. Therefore, development of the root nodule counting method greatly facilitates implementation of root nodule researchwork, and the root nodule counting method has great application value.

Description

technical field [0001] The invention relates to the fields of plants and microorganisms, in particular to a root nodule counting method. Background technique [0002] Rhizobia mainly parasitize in the cortex cells of the roots of legumes, stimulate the rapid division and growth of cortex cells, and form nodules, which are root nodules. Rhizobium obtains water and nutrients from root nodule cells. It can fix free nitrogen and synthesize nitrogen-containing compounds for use by legumes (Murray, J.D. (2011). Invasion by invitation: Rhizobial infection in legumes. Mol. Plant-Microbe Interact 24:631–639) (Sickerman, N.S., Hu, Y., and Ribbe, M.W. (2017). Nitrogenase Assembly: Strategies and Procedures.pp.261–302). The symbiosis between legumes and rhizobia results in high yield due to the availability of nitrogen. The number of nodules is an important indicator of plant health, and dynamic monitoring of nodules is also very important, but due to the destructive and labor-intensi...

AI Technical Summary

Problems solved by technology

May be limited by the electronic imaging technology of the year, the accuracy of this method is not high enough

Then Garcia and Barbedo (Garcia, J., and Barbedo, A. (2012). Method for Automatic Counting Root Nodules Using Digital Images Advance Access published 2012, doi: 10.1109 / ICCSA.2012.39.) improved this method, they used digital imaging The equipment takes pictures of isolated root nodules. This method has high accuracy under optimal conditions, but impurities in the root nodules and shadows during imaging have a great impact on the results

In view of the fact that the existing root nodule imaging and counting methods have high operational requirements and are greatly affected by external factors, they are not suitable for rapid and large-scale detection

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