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Method for rapidly determining nitrogen contents of different organs of plant

A technology of nitrogen content and organ nitrogen, which is applied in the field of agriculture to achieve the effect of small sample volume, improved detection throughput, and simple operation

Inactive Publication Date: 2020-07-17
CHINA AGRI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there have been related reports on the monitoring of nitrogen content using spectroscopy, but most studies only focus on the nitrogen content of the whole plant or leaf organs, and rarely carry out accurate prediction of nitrogen content for different organs of the plant

Method used

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  • Method for rapidly determining nitrogen contents of different organs of plant
  • Method for rapidly determining nitrogen contents of different organs of plant
  • Method for rapidly determining nitrogen contents of different organs of plant

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] Embodiment 1, wheat leaf nitrogen content prediction based on hyperspectral images, the steps are as follows:

[0039] 1) Test samples and test treatments: The sampling time was 2019, and the location was Wuqiao Experimental Station, Hebei, China Agricultural University. The wheat varieties were Jimai 22 (high yield and cold resistance) and Nongda 399 (fast growth and drought resistance). The irrigation modes were divided into no irrigation after sowing, irrigation at rising stage, irrigation at jointing stage, irrigation at rising stage and flowering stage, and irrigation at jointing stage and flowering stage. The single irrigation volume in each irrigation period is 75mm. The fertilization method and fertilization rate were the same for all treatments.

[0040] 2) Sample collection: From the flowering stage of wheat, samples were collected every 5 days until maturity. When collecting samples, 2 m was selected for each experimental treatment. 2 area, take the aboveg...

Embodiment 2

[0045] Example 2. Prediction of nitrogen content in wheat internodes based on hyperspectral images

[0046] Except that in step 2), the sample sites were divided into the first segment, the second segment, the third segment and the remaining segment (all other internodes), other conditions were the same.

Embodiment 3

[0047] Example 3. Prediction of nitrogen content in ears of wheat based on hyperspectral images

[0048] Except that in step 2) the ear was isolated from the sample site, other conditions were the same.

[0049] figure 1 is the average spectrum and range of spectral variation of 9 different organs.

[0050] figure 2 It is the comparison between the model prediction value and the real value for 9 different organs.

[0051] Table 1 Measured nitrogen content in different organs of wheat (unit: g / kg)

[0052] organ average standard deviation minimum value maximum value flag leaf 34.8 11.1 8.72 50.7 Inverted two leaves 29.2 10.9 7.52 42.9 inverted clover 23.2 9.62 7.53 36.9 Yu Ye 16 5.08 9.04 28 down a section 13.1 4.07 4.36 23.8 down two quarters 7.08 1.92 2.79 11.9 fall three quarters 5.39 1.15 2.68 8.82 remaining section 5.55 0.885 3.95 7.87 ear 11.2 3.82 4.43 18.6

[0053...

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Abstract

The invention discloses a method for determining the nitrogen contents of different organs of a plant. The method comprises the following steps of taking a plant sample, separating according to organs, drying the sample, grinding and sieving, acquiring a reflectivity spectrum of the powder sample by using a hyperspectral camera, meanwhile, determining the nitrogen content in the sample by adoptinga Kjeldahl determination method, and establishing a spectral prediction model of the nitrogen content. According to the method, different organs of the wheat plant are subjected to nitrogen content determination, and an organ-specific nitrogen content prediction model is established, so that research on nitrogen transfer among the organs can be carried out in a targeted manner. According to the method, the spectral camera is used for acquiring reflectivity spectral data, so that the requirement on the sample amount is low, multiple groups of samples can be simultaneously collected, and the detection flux is improved. According to the method, prediction model construction is carried out by adopting an unprocessed original spectrum, and model construction is carried out by adopting an opensource algorithm, so that the spectrum analysis threshold is simplified, and the spectrum technology can be better applied to the technical field of agriculture.

Description

technical field [0001] The invention relates to the technical field of agriculture, in particular to a method for rapidly measuring nitrogen content in different organs of a plant. Background technique [0002] Wheat is an important food crop in my country. In 2019, the total output of wheat in the country was 130 million tons, second only to corn and rice. Moreover, wheat is the staple food of the northern people, providing people with sufficient energy sources and rich nutrient supply. At the same time, its nutritional value is comprehensive, rich in a variety of proteins, minerals and vitamins. Nitrogen is the largest mineral element in wheat and plays a key role in the formation of wheat growth and development, yield and quality. On the one hand, nitrogen, as an important component of chlorophyll and some functional proteins, participates in photosynthesis and other physiological metabolic processes during wheat development and growth, and directly determines the final...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/31G01N21/3563G01N21/359G01N31/00G01N1/28G01N1/44
CPCG01N1/28G01N1/44G01N21/314G01N21/3563G01N21/359G01N31/002G01N2021/3155
Inventor 王志敏李伟张英华周晓楠胡乃月于康孙振才张震刘影
Owner CHINA AGRI UNIV
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