Supercharge Your Innovation With Domain-Expert AI Agents!

A method for identifying metabolic expression profiling markers of high-yield and low-yield varieties of Camellia oleifera

A high-yield and low-yield technology, applied in instruments, measuring devices, scientific instruments, etc., to achieve the effects of convenient and fast analysis methods, simple sampling methods, and the development of camellia oleifera industrialization.

Active Publication Date: 2022-06-07
福建省沙县水南国有林场
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, this technology has been widely used in crops such as tomato, wheat, corn, poplar, oak and other forest trees, but it has not been reported on Camellia oleifera

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
  • A method for identifying metabolic expression profiling markers of high-yield and low-yield varieties of Camellia oleifera
  • A method for identifying metabolic expression profiling markers of high-yield and low-yield varieties of Camellia oleifera
  • A method for identifying metabolic expression profiling markers of high-yield and low-yield varieties of Camellia oleifera

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] Three high-yield Camellia oleifera trees (numbered A, B and C) were selected in Shuinan State-owned Forest Farm, Shaxian County, Fujian Province. The average fruit yield per plant from 2017 to 2019 was 2.62, 2.35 and 1.5Kg, respectively. A high-yield group was constructed and three camellia trees were selected. For the low-yielding camellia cultivars (numbered D, E and F), the average fruit yield per plant from 2017 to 2019 was 0.49, 0.46 and 0.01Kg, respectively, and a low-yield group was constructed.

[0049] On May 12, 2020, the sample BULK method was taken, and 5 shoots were collected from the upper, middle and lower parts of each individual plant, first mixed by each plant, and then mixed in each group.

[0050] Take 100 g of freshly mixed samples from each of the high-yield group and low-yield group, soak them in 1000 mL of anhydrous methanol for 3 days, pour out the solvent and collect, repeat 3 times, combine all the solutions obtained from the 3 times, and then ...

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 a method for identifying markers of metabolic expression profiles of high-yield and low-yield varieties of camellia oleifera, belonging to the technical field of camellia oleifera breeding. Select at least 3 high-yield and low-yield Camellia oleifera varieties as the high-yield group and the low-yield group respectively; collect shoots from the upper, middle and lower parts of each Camellia oleifera plant in the high-yield group or low-yield group, and the collected shoots are taken as a unit Mix; extract the bud samples of the high-yield group or low-yield group with alcohol solvent, remove the solvent, and obtain the dark brown paste of the high-yield group or low-yield group after dilution, analyze with GS-MS, and compare the metabolic expression of the high-yield group The differential compounds in the metabolic expression profile of the low-yield group and the low-yield group were selected, and the compounds whose content reached a significant difference level were selected as markers to breed high-yield Camellia oleifera varieties. The method provided by the invention is scientific, the sampling method is simple, and the analysis method is convenient and fast, which is suitable for the selection and genetic improvement of Camellia oleifera, and will greatly promote the industrialization of Camellia oleifera.

Description

technical field [0001] The invention belongs to the technical field of Camellia oleifera breeding, in particular to a method for identifying a metabolic expression profile marker of Camellia oleifera high-yield and low-yield species groups. Background technique [0002] Camellia oleifera is an important woody oil tree species in my country and one of the four major woody oil tree species in the world, mainly distributed in southern provinces. Its product camellia oil is high-grade edible oil, and its fatty acid composition is similar to that of olive oil. Long-term consumption is very beneficial to human health. Camellia oleifera is planted on the mountains and does not compete with grains for land, providing a large number of labor and employment opportunities for forest farmers in the mountains. The camellia oleifera industry is a characteristic and advantageous industry in my country. The development of the camellia oleifera industry can not only ensure the national grai...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G01N30/02G01N30/72G01N30/06G01N30/86G01N30/88
CPCG01N30/02G01N30/72G01N30/06G01N30/8634G01N30/88G01N30/8679G01N2030/8854Y02A40/10
Inventor 曹汉洋何祯祥李志真卢世明郑登耿陈耀升赖标祯潘荣荣许雪英方文洁林东张祖权
Owner 福建省沙县水南国有林场
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More