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A Nodule Counting Method

A counting method and nodule technology, applied in the field of plants and microorganisms, can solve problems such as insufficient accuracy, great influence on results, and inapplicability for rapid and large-scale detection.

Inactive Publication Date: 2020-09-18
INST OF OIL CROPS RES CHINESE ACAD OF AGRI SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

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  • A Nodule Counting Method
  • A Nodule Counting Method
  • A Nodule Counting Method

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Experimental program
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Effect test

Embodiment 1

[0027] Embodiment 1, establishment of root nodule counting method

[0028] 1. Preparation of samples to be tested

[0029] 1. Inoculate soybeans with rhizobia and cultivate them;

[0030] 2. After step 1 is completed, take the root of the plant with nodules as a sample, process the sample according to (1) or (2) as follows, and obtain the sample to be tested for counting;

[0031] (1) In vivo counting: put the whole root in a water-filled Petri dish, use tweezers to fully disperse the root, and do not let the root cover the root nodule;

[0032] (2) Counting in vitro: peel off the root nodules and disperse them in a petri dish.

[0033] Two, take pictures

[0034] Photographs were taken with the In-vivo Master in vivo fluorescence imaging system of Guangyingmei brand. The excitation power of the excitation light source is 5W, the excitation wavelength is selected as 470nm or 532nm, and the emission filter is selected as 535nm, 580nm, 620nm or 660nm.

[0035] Turn on the p...

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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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N15/14
CPCG01N15/14G01N2015/1486
Inventor 矫永庆郭葳张凤油清波
Owner INST OF OIL CROPS RES CHINESE ACAD OF AGRI SCI
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