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Camellia oleifera tree body nutrition diagnosis method based on leaf ion group collaborative change characteristics

A technology of nutritional diagnosis and ion group, which is applied in chemical method analysis, testing plants/trees, measuring devices, etc., can solve the limitations and poor universality, do not fully consider the interaction relationship between elements, and it is difficult to achieve accurate assessment of nutritional status and nutrient balance management to achieve the effect of increasing production

Pending Publication Date: 2021-08-06
RES INST OF SUBTROPICAL FORESTRY CHINESE ACAD OF FORESTRY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the appearance evaluation based on tree growth, shape, leaf color and other indicators has great uncertainty in actual production and application, and the differences in biological characteristics of different varieties in different distribution areas also affect the accuracy of their judgments; Nitrogen nutrition diagnosis generally uses a chlorophyll meter to measure the chlorophyll content of leaves, and realizes the rapid assessment and diagnosis of tree nitrogen nutrition by constructing the correlation between chlorophyll and nitrogen content. Although this method can provide some guidance for nitrogen nutrition management in Camellia oleifera forest, However, due to the large differences in nutrient absorption and utilization among different genotypes of camellia oleifera, it is difficult to accurately evaluate the nutritional status and nutritional balance management of different genotypes of camellia oleifera with an evaluation method based on a single element index; the DRIS method can measure nutrient balance, The importance of lack or excess and identification of different elements for plant growth, such as Gao Wei et al. (2016) used the DRIS nutritional diagnostic method to analyze the optimal content of mineral elements in leaves during the critical period of Camellia oleifera fruit development, but it depends on the single ratio (such as N / P) data analysis method does not fully consider the interaction relationship between elements, which is easy to generate a large amount of data redundancy and deviation, and there are still large errors and limitations in practical application
In addition, since there are more than 300 varieties of Camellia oleifera currently cultivated, and the nutritional requirements of different varieties are also different, which brings great uncertainty to nutritional diagnosis. Therefore, it is necessary to establish a stable and reliable nutritional diagnosis technology that does not depend on the species

Method used

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  • Camellia oleifera tree body nutrition diagnosis method based on leaf ion group collaborative change characteristics
  • Camellia oleifera tree body nutrition diagnosis method based on leaf ion group collaborative change characteristics
  • Camellia oleifera tree body nutrition diagnosis method based on leaf ion group collaborative change characteristics

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Embodiment 1

[0026] This embodiment builds a nutritional diagnosis method based on the synergistic change characteristics of ion groups, including the following steps:

[0027] (1) Obtaining leaf samples. From August to October, samples were taken for stands or trees with different yields. When sampling, 20×20m plots can be divided according to the characteristics of the stands, and 5-10 plants were selected in each plot according to the S-shaped route. Sampling; above the middle part of the canopy, select the vigorously growing branches of the year, collect the 4-6 leaves from the top of the branches in the east, south, west, and north directions, and sample 30-50 pieces per tree , according to the forest stand or tree size, set 4 repetitions or more to be representative.

[0028] (2) Leaf sample processing. Wash three times with ultrapure water (18MΩ), fix green at 105°C for 30min, dry at 60°C for 96h, weigh the dry weight, and measure leaf phosphorus (P) and potassium (K ), calcium (...

Embodiment 2

[0037] In 2018, in Changshan County, Zhejiang Province, a 6-year-old ‘Changlin’ series of Camellia oleifera plantation was taken as the object, and a diagnostic method for the nitrogen, phosphorus and potassium nutritional status of trees based on the synergistic change characteristics of ion groups was constructed.

[0038]When the fruit was ripe, 30 plants of 'Changlin No. 4' and 'Changlin No. 53' were selected at random, and were sampled and measured individually. The width of the canopy was measured from east to west and north to south, and the fresh fruit yield per plant was recorded. 20 fruits were randomly selected to analyze the oil content of the seed kernels, and in the east, west, south, and north directions of the middle part of the canopy, the growth of the fruiting branch group was normal. 50 leaves in the middle of the spring shoots of the current year were analyzed for the content of nitrogen, phosphorus and potassium mineral elements; the number of leaves and f...

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Abstract

The invention discloses a camellia oleifera tree body nutrition diagnosis method based on leaf ion group collaborative change characteristics. The method comprises the steps of measuring the contents of N, P, K, Ca and Mg mineral elements of leaves, designing a continuous binary partition table according to an equilibrium relationship among ions, performing redundancy removal and noise reduction on data based on ion group characteristic information of ilr conversion, constructing a relation function among the irl value, the unit crown area yield and the kernel oil content, determining the range of the irl critical index value, and performing tree nutrition diagnosis; and meanwhile, carrying out corresponding fertilization management according to the diagnosis result.

Description

technical field [0001] The invention belongs to the technical field of plant nutrition diagnosis, and relates to a method for diagnosing nutrition of camellia oleifera tree body based on the synergistic change characteristics of leaf ion groups, in particular to a camellia tree body nitrogen, phosphorus, potassium, calcium, Magnesium mineral nutritional status diagnostic techniques. Background technique [0002] Camellia oleifera, as a unique woody oil tree species in my country, has developed rapidly in recent years and has become one of the four major oil crops (rapeseed, peanut, soybean and camellia oleifera) in China. According to statistics, the current planting area of ​​camellia oleifera in the country is 67 million mu, the national camellia oil output is 630,000 tons, and the average oil yield per mu is only about 9.4kg. Low yield and low efficiency are still the primary problems that need to be solved in the development of the current camellia oleifera industry. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/00G01N27/626G01N31/00
CPCG01N33/0098G01N27/626G01N31/002
Inventor 曹永庆王开良任华东姚小华
Owner RES INST OF SUBTROPICAL FORESTRY CHINESE ACAD OF FORESTRY