Method for determining soybean phytophthora root rot resistant quantitative trait loci and use of the loci

A technology of quantitative genetics and Phytophthora sojae, which is applied in the fields of application, botany equipment and methods, and microbial measurement/inspection, can solve the problems of main QTL mining difficulties and achieve the effect of improving breeding efficiency and reducing waste

Inactive Publication Date: 2009-02-25
李 文滨
View PDF0 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the difficulty of excavating the main QTL related to resistance to Phytophthora sojae root rot, there has been no report on the main QTL related to resistance to Phytophthora sojae root rot

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
  • Method for determining soybean phytophthora root rot resistant quantitative trait loci and use of the loci
  • Method for determining soybean phytophthora root rot resistant quantitative trait loci and use of the loci
  • Method for determining soybean phytophthora root rot resistant quantitative trait loci and use of the loci

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] Identification of quantitative loci (QTL) associated with resistance to Phytophthora soybean root rot:

[0029] (1) Construction of Conrad recombinant inbred lines and identification of disease resistance:

[0030] The hybrid F 1 ; by Hybrid F 1 Generation self-pollination to obtain offspring, and F 6 Generation of recombinant inbred lines;

[0031] The mixed strains from Jixi, Shuangyashan, Jiansanjiang and North America in Heilongjiang Province, China were used for inoculation identification and disease loss rate statistics, with three repetitions.

[0032] (2) Genetic map construction and QTL analysis:

[0033] 39 random primers (RAPD), 89 simple repeat marker primers (SSR) and 1 pair of sequence characteristic application interval primers (SCAR) with amplified polymorphism between parents were selected for PCR amplification, and the bands were selected according to the population For the segregation situation in , the individual with the maternal type band is m...

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 discloses a method for determining quantitative trait loci (QTL) for soybean phytophthora root rot tolerance and the application of the loci, comprising the following steps: carrying out analysis (genotype data analysis) upon the DNA of the descendant of the disease tolerant variety (female parent) and the infected strain (male parent) by utilizing random primer (RAPD), repeat sequence primer (SSR) and sequence characteristic application range primer (SCAR); conducting inoculation identification upon the descendant with home and aboard mixed strain and having statistics upon the disease loss rate (phenotype data analysis); calculating the existent threshold of quantitative trait loci (QTL) for soybean phytophthora root rot tolerance with regression algorithm and detecting whether there are quantitative trait loci (QTL) for soybean phytophthora root rot tolerance with WinQTLCarter2.0; and finally judging whether the genealogies or derived varieties have the quantitative trait loci (QTL) by detecting the DNA of parent and genealogies or derived varieties thereof. The invention can detect whether the genealogies or derived varieties have disease tolerance so as to speed up the seed selection for varieties (strains) of soybean phytophthora root rot tolerance.

Description

technical field [0001] The invention relates to the field of molecular assisted breeding, in particular to selection and its use of quantitative gene loci (QTL) related to Phytophthora soybean root rot resistance for assisted breeding, so as to improve the breeding efficiency of Phytophthora soybean root rot resistance. technical background [0002] Phytophthora Root Rot of Soybean (Phytophthora Root Rot of Soybean) is caused by Phytophthora sojae (Phytophthora sojae), a soil-borne fungal disease that is more harmful to soybean. The disease is serious, and the yield is significantly reduced. Susceptible varieties can cause yield loss of up to 25-50%, sometimes up to 100%. It is one of the devastating diseases, and it has a tendency to increase year by year. [0003] Soybean Phytophthora root rot was first discovered in Indiana, U.S. in 1948, and then occurred successively in more than 20 countries such as Australia, Canada, Brazil, Argentina, India, and China. It can be see...

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 Applications(China)
IPC IPC(8): C12Q1/68A01H1/02
Inventor 李文滨韩英鹏滕卫丽
Owner 李 文滨
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
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap