Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Building and predicting methods of net photosynthetic rate predicting model based on woody plant leaf phenotypic characteristics

A technology of net photosynthetic rate and woody plants, applied in the field of net photosynthetic rate prediction model construction, can solve the problem of high environmental requirements, achieve accurate division and eliminate differences

Inactive Publication Date: 2018-06-29
BEIJING FORESTRY UNIVERSITY
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can be seen that the existing methods for measuring the net photosynthetic rate generally have higher requirements on the environment.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Building and predicting methods of net photosynthetic rate predicting model based on woody plant leaf phenotypic characteristics
  • Building and predicting methods of net photosynthetic rate predicting model based on woody plant leaf phenotypic characteristics
  • Building and predicting methods of net photosynthetic rate predicting model based on woody plant leaf phenotypic characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0102] S101: In the geographical distribution of Populus microphylla in the whole country (Shaanxi, Qinghai, Hebei, Henan, Ningxia, Beijing, Inner Mongolia), 1233 samples of Populus microphylla were collected, and we selected 235 individuals among them as representatives. The roots of these 235 individuals were used for vegetative propagation in a clonal botanical garden in Guan County (36°23'N, 115°47'E), Shandong Province, China. In the present study, these unrelated individuals were used to study the prediction of net photosynthetic rate using leaf phenotype data.

[0103] S102: Use a portable laser leaf area meter (CI-202) to measure the six leaf phenotype data of leaf area, length, width, circumference, aspect ratio and leaf shape factor.

[0104] S103: Combining average linkage clustering and PAM clustering, based on the leaf phenotype data measured by CI-202, divide 235 representative individuals into sub-variety.

[0105] The average linkage clustering:

[0106] 1. S...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides building and predicting methods of a net photosynthetic rate predicting model based on woody plant leaf phenotypic characteristics and belongs to the field of bioinformatics. The building and predicting methods have the advantages that an average linkage clustering method and a PAM clustering method are combined to divide woody plants at different geographical positions intodifferent sub-varieties, and the differences of the different sub-varieties are eliminated to reasonably predict net photosynthetic rate; meanwhile, a gradient increasing algorithm is used in each sub-variety to build the net photosynthetic rate predicting model on the basis of the phenotype data of leaf samples, the gradient increasing algorithm iterative stopping criteria is put forward for thefirst time during modeling, algorithm iteration residual critical values are provided for the woody plant leaf phenotype data of different sub-varieties, the populus simonii net photosynthetic rate predicting model is built by using the improved gradient increasing algorithm based on the iterative stopping criteria, and an ideal predicting effect on the net photosynthetic rate of different populus simonii varieties can be achieved under a condition that the leaf phenotype data is known.

Description

technical field [0001] The invention belongs to the field of biological information, and in particular relates to a construction method and a prediction method of a net photosynthetic rate prediction model based on the phenotypic characteristics of woody plant leaves. Background technique [0002] Net photosynthetic rate is an important index to measure the intensity of plant photosynthesis and plays an important role in the process of plant growth and development (ShipleyB et al.2005). In the 19th century, Sachs first proposed the method of measuring photosynthetic rate by the half-leaf method, which was the earliest method applied to the measurement of photosynthetic rate. It does not require complicated instruments and equipment, and is simple and easy to implement. However, using the half-leaf method will destroy the tested material and cannot be measured continuously, and the measurement time is long, and the environmental conditions are not easy to control, resulting i...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F17/50G06K9/62
CPCG06F30/20G06F18/231
Inventor 张晓宇吉心悦胡梦瑶宋跃朋张德强
Owner BEIJING FORESTRY UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products