CN110777197A - Major QTL method for rapidly identifying cotton-related traits through compound BSA-seq - Google Patents
Major QTL method for rapidly identifying cotton-related traits through compound BSA-seq Download PDFInfo
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Abstract
The invention discloses a method for rapidly identifying major QTL (quantitative trait locus) of cotton related traits by compound BSA-seq, which utilizes cotton 60 in a variety with excellent comprehensive traits and cotton 60 selected line EZ60 in a variety with poor fiber quality of sister line materials with similar genetic background as female parents to respectively cross with R014121 in a common male parent to construct 2F containing 1000 individuals
2Separating populations, respectively screening extreme materials according to related phenotype data, constructing 6 groups of BSA mixed pools of fiber length, strength and clothes classification of 2 populations, and screening by using a high-throughput re-sequencing technical means to obtain a common segment (QTL) qFS-D02-1 of the two populations, wherein the common segment is a main effect QTL and the segment on a physical map is 3.15 Mb. Therefore, the related major effective sites can be rapidly identified through the compound BSA-seq, the related genes are excavated, and a foundation is laid for the genetic improvement of cotton.
Description
Technical Field
The invention belongs to the field of biotechnology application, and relates to a duplex BSA-seq rapid identification of upland cotton major QTLs, which is a basis for auxiliary selection and identification of cotton major molecules.
Background
Cotton fiber is a trichome formed by the development of embryo outer pearl coat epidermis unicell, and is an ideal model material for researching cell development, cell wall and cellulose synthesis, and fiber quality and yield are jointly regulated and controlled by 4 stages of fiber development process, namely, an initial stage, an elongation stage, a secondary wall thickening stage and a maturation stage. The quality characters such as cotton fiber strength belong to complex quantitative characters controlled by polygene, and are easily influenced by environmental factors, the phenotype of the quality characters is a result of the interaction between genotype and environment, and the fiber quality and yield characters have large negative correlation, so the genetic manipulation capability of the quantitative characters determines the crop breeding efficiency. The traditional breeding method has the disadvantages of large population, long period, high cost, poor predictability and the like, so that the synchronous improvement of the quality and the yield of the cotton fiber is difficult to realize by adopting the conventional breeding means. In recent years, with the development of biotechnology, a new way is provided for crop trait improvement, and cotton fiber quality improvement is accelerated by molecular means such as positioning of fiber strength and other related trait sites, molecular marker assisted selection, candidate gene screening and identification and the like. The research on genetic basis and molecular regulation mechanism of cotton fiber strength character formation is very important at home and abroad, and the research on the aspects of genetic map construction, fiber strength character QTL positioning, important gene cloning, function identification and the like is made an important progress.
In order to research the genetic mechanism of cotton fiber strength character and improve fiber strength by marker-assisted selection, a series of QTL related to fiber strength have been located by using land intraspecies population, sea-land interspecies population and other populations on the basis of genetic linkage map construction. Zhang et al detected 63 fiber strength QTLs in a single environment and 16 or more stable fiber strength QTLs in a total of 63 single environments by using phenotypic data of a Upland cotton intraspecific (0-153X sGK9708) recombinant inbred line population under 11 environments and a genetic map comprising 2394 SNP markers (Zhang et al. restriction of high-sensitivity genetic map and its application to QTL identification for fiber strain h in uplink cotton. Crop Science,2017, 57(2 774.); ma et al utilize F
14The recombinant inbred line population (RIL) was backcrossed with the female parent to construct a BC population in which 26 QTLs were detected, and 37 QTLs were detected in the recombinant inbred line population. Among them, only 7 QTLs could be detected in both populations (Ma et al. QTLanalysis and differentiation for fiber quality traitsing use of a specific signal regression in Upper cotton [ J.]Frontiers in Plant Science,2017, 8: 2168); liu et al detected a total of 113 yield and fiber quality QTLs using a high density genetic map including 2051 SSR markers after encryption and (CCRI 35 × Yunian 1) fiber quality and yield phenotype data of a recombinant inbred line population under 6 environments, wherein 50 QTLs were detected under multiple environments or the additive effect value of the QTLs was greater than the environmental effect value (Liu et al
Gossypium hirsutumL.) [J]Mol Genet Genomics,2017,292(6): 1281-1306); diouf et al utilized CCRI35 XNH F
2:3The population constructed a genetic map comprising 5178 GBS-SNP markers, combined with 11 trait phenotypic data including fiber quality, detected a total of 110 QTLs, 30 of which were detected in 2 contexts (Diouf et al. QTL mapping of fiber q uali)ty and yield-related tracks in and intra-specific upper co-using Genetic By Sequence (GBS). International journal of molecular sciences, 2018, 19(2): 441); tan et al utilizes Yu Cotton No. 1 × Acala Maxxa to recombine inbred line population, and constructs a Upland Cotton high-density Genetic Map by combining with SSR markers through a Cotton SNP80K chip to obtain 27 QTLs related to Fiber strength (Tan et al. Genetic Map construction and Fiber Quality QTL Mapping Using the Cotton SNP80K Array in Upper Cotton in front plant in plant Science, 2018, 9: 225.). Yu et al 146 BIL populations constructed by crossing back land cotton and sea island cotton, with 2 QTLs associated with fiber quality detected in more than 2 environments, 1 QTL associated with fiber strength, and 1 QTL associated with fiber uniformity (Yu et al 2013. Mapping quality locus loci for fiber and fiber quality environments in a Gossypium hirsutum x Gossypium bardense, background in branched line position, therapeutic and tagged genetics, 126(1): 275-); yu et al cotton land and sea F
2、F
2:3And TC, 5, 4 and 5 fiber quality QTLs were detected (Yu et al. Identification of qualitative traitment loci interactions F2, F2:3and temporal posts for an agricultural and fiber traitment in a temporal joint, Euphyto, 2013, 191(3): 375-389). Si et al analyzed the Genetic characteristics of the cotton ginning outings and fiber quality using the cotton ginning outing line in the background of Gossypium barbadense, and detected 39 QTLs in total, including 4 QTL clusters, of which 3 QTL cluster (fiber length, specific strength and boll weight) introductions reduced the quality and yield of Gossypium barbadense (Si et al. Genetic separation of lint yield and fiber quality traits of G.
hirsutumin G.
barbadensebackground[J]Mol Breeding,2017,37(1): 9). Jia et al detected 36 QTLs associated with fiber strength using an interspecies recombinant inbred population (Jia et al QTLdelay for five fiber quality trait based on an intra-specific Gossypium hirsutum L. recombinant linked line amplification, molecular genetic, 2018, 293(4): 831 843). Use of the yellow-brown cotton BC in the background of upland cotton
3F
2、 BC
3F
2:3And BC
3F
2:4The Introgression Lines detected 42 QTL of Fiber Quality including 15 QTL of Fiber strength and 27 QTL of Fiber micronaire value (Wangt al. Advanced backscross QTL analysis of Fiber strand and fine in a cross between Gossypium hirsutum and G. musteline. Frontiers in plant science,2017, 8: 1848. Keerio et al analyzed 107 Introgression Lines of cotton and wool using SLAF-seq to obtain 3157 high Quality SNP markers in total, 30 QTLs associated with cotton Fiber Quality and 44 QTLs associated with Yield trait (Keerio et al QTL Mapping for Fiber Quality and Yield transformation of cotton and cotton trees)
Gossypium hirsutum×
G. tomentosum[J]. International Journal of Molecular Sciences, 2018, 19(1):243.）。
Pooled group sequencing (BSA-seq): and selecting parents with extremely different phenotypes according to the researched target traits to construct a mixed pool, performing DNA sequencing on the parents and the extremely mixed pool, detecting loci associated with the traits, and quickly mining candidate genes. As early as 1991, Michelore et al (1991) successfully screened 3 markers closely linked to downy mildew resistance gene Dm5/8 in lettuce isolated population by pool-mixed group analysis (BSA) method for the first time (Michelore et al. identification of markers linked to disease-resistant genes by bulk genetic organization: a Rapid method to detection markers in specific genetic organization by using genetic organization genes by bulk genetic organization. Proceedings of the National academy of Sciences of the United States of America, 1991, 88: 9828); in recent years, BSA method based on high throughput sequencing technology, namely BSA-seq technology, has been successfully used for fine localization of QTL related to important agronomic traits of crops and identification of candidate genes (oxygen et al Detection of novel QTLs qDTH4.5 and qDTH6.3, while linkage crop attachment under short-day conditions, by SSR marker-based and QTL-seq analysis, Breeding Science,2017, 67: 101.; Panel et al QTL-seq adaptive genetic regions for purposes of diagnosis and diagnosis of diseases and related genes in general purpose, journal management, 2017, 20115: flow, 927: modified QTL-yield of crops and diagnosis of crops, and for purposes of diagnosis, research, yield, quality, yield, and yield, etc. 1, 12, 1, 7,1, 2, 7,1, 2, 7,1, 2. The BSA-seq technology can realize efficient and accurate fine positioning of QTL/key gene segments related to important traits of crops, but the fine positioning report related to quality traits is mainly used in cotton. Chen et al (2015) used BSA-seq technique to map the recessive infinite branch gene gb _ nb1 to 2 SNP markers around 600 kb on chromosome 16 (Chen et al. Genetic mapping of the nullliplex-branch gene (gb _ nb1) in cotton using next-generation sequencing. nutritional & applied genetics 2015, 128: 539. 547). Zhu et al (2017) successfully identified the candidate gene GhCHL1 by fine-locating the yellow bud gene, stress-1, using the land BSA-seq technique (Zhu et al, Rapid mapping and cloning, soft-stress-1 gene in cotton by crushed growth analysis, Journal of Experimental Botany,2017, 68: 4125). Marina et al (2017) discovered SNP sites which are completely linked with Li traits by using a BSA-seq technology, and after population verification, an ultrashort fiber Li1 gene is obtained. The research on the positioning of Quantitative Trait-related QTL (Quantitative Trait locus) such as Cotton Fiber Strength by using the technology is rarely reported, Zhang et al (2015) constructs a Upland Cotton chromosome 25 genetic map through a BSA (bovine serum albumin) method and SSR (simple sequence repeat) markers, and discovers QTL (Zhang Zhen, Li Junwen, Muhammad Jamshed, et al. High Resolution Consensus Mappingof Quantitative trap Loci for Fiber Strength, Length and Micronaire on Chromosome 25 of the upper Cotton (Gossypium hirsutum L.). PLoS ONE 2015,10(8): e 0135430) of Cotton Fiber Length, Strength and Micronaire. By utilizing a large separation population constructed by using sister lines as female parents, constructing a retest BSA mixed pool according to related characters, and quickly obtaining a common segment through a high-throughput resequencing technology, the common segment is determined to be a candidate QTL, and no report is provided yet.
Disclosure of Invention
The strength and the length of cotton fibers are positively correlated and are negatively correlated with the clothing, so that in combination with the correlation among characters, the invention utilizes sister line materials with similar genetic background and a common male parent to respectively construct and separate a large population, selects extreme materials with various characters to respectively construct a BSA mixed pool with high character value and low character value, and utilizes a high-throughput sequencing technology to quickly obtain the main effect QTL.
The technical scheme provided by the invention is as follows: the invention provides a method for rapidly identifying a major QTL of cotton-related traits by using compound BSA-seq, which comprises the following steps: the method comprises the steps of respectively constructing F014121 (national cotton germplasm middle-term library, national germplasm unified library number: ZM 115357) containing 1000 single plants by utilizing cotton institute 60 in a variety with excellent comprehensive properties of sister line materials with similar genetic background and medium cotton institute 60 with poor fiber quality selected line EZ60 (hereinafter referred to as EZ 60) (national cotton germplasm middle-term library, national germplasm unified library number: M116025, yellow river Daodao No. 38 in Anyang Kaiyang Kaiyuan in Henan province, zip code: 455000) and R014121 (national cotton germplasm middle-term library, national germplasm unified library number: ZM 115357) in the same male parent
2The separated population is an ideal material for researching quantitative trait inheritance, can effectively eliminate the interference of genetic background in the population, and can improve the accuracy of the positioning of the complex agronomic trait genes. The strength and the length of the cotton fiber are positively correlated and the cotton fiber is negatively correlated with the clothing component, so that the mixed pool is respectively constructed by combining the extreme materials with the related characters to construct 60 XZhongR 014121F of the Zhongmian cotton institute
2Population fiber strength, fiber length and clothing pool, and EZ60 × middle R014121F
2The group fiber strength, the fiber length and the clothing component mixing pool are 6 groups of mixing pools. And (3) rapidly obtaining the main QTL by using a high-throughput sequencing technology.
The invention discloses a method for rapidly identifying major QTL (quantitative trait locus) of cotton-related traits by using compound BSA-seq, which comprises the following steps:
(1) utilizing sister line varieties with excellent comprehensive properties of materials with similar genetic backgrounds and strains with poor fiber quality and common male parents to respectively construct hybrid combinations of two upland cottons, wherein the combination I: variety x male parent with excellent comprehensive character, combination ii: lines of poor fiber quality x male parent, obtained F containing 1000 individuals each
2Segregating population and F
2:3，F
2:4Population and accurate identification of F
2，F
2:3，F
2:4Phenotypic data of the population;
(2) respectively screening out the comprehensive properties according to the characteristics that the strength and the length of the cotton fiber are positively correlated and the cotton fiber is negatively correlated with the clothing componentVariety with good shape, male parent and line with poor fiber quality, F of male parent
2High-strength material single plants and low-strength material single plants in the population; the single plant material with longer length and the single plant material with shorter length; extracting leaf genome DNA from the individual plant material with higher clothes score and the individual plant material with lower clothes score;
(3) high-strength single plants and low-strength single plants of the two groups are selected; the single plants with longer length and the single plants with shorter length; equivalently mixing the genomic DNAs of the individuals with higher clothes scores and the individuals with lower clothes scores to construct six groups of BSA mixed pools;
(4) and (2) sequencing the DNA of the mixed pools by using a high-throughput re-sequencing technology, wherein the sequencing depth of each mixed pool is 30 times of that of the cotton genome DNA, the results are analyzed by using a QTL-seqr software package, and the six groups of BSA mixed pool results point to a common section qFS-chrD02-1 which is a major genetic locus of the upland cotton fiber strength.
The method for rapidly identifying the major QTL of the cotton related traits by the compound BSA comprises the following steps of (1), wherein the variety with excellent comprehensive traits is Miyao-chong institute 60, the line with poor fiber quality is Miyao-chong institute 60 selected line EZ60, the common male parent is Miyao R014121, and the combination I: medium cotton institute 60 × medium R014121, combination ii: EZ60 × middle R014121. One specific embodiment provided by the method of the present invention is as follows:
(1) respectively constructing two hybrid combinations of upland cotton by utilizing cotton institute 60 in a variety with excellent comprehensive properties of sister line materials with similar genetic background, strain EZ60 with poor fiber quality and R014121 in a common male parent, wherein the combination I: medium cotton institute 60 × medium R014121, combination ii: EZ 60X middle R014121 to obtain 1000 individuals of F
2Isolating the population and identifying F
2，F
2:3，F
2:4Phenotypic data of the population;
(2) according to the characteristics that the strength and the length of cotton fibers are positively correlated and the cotton fibers are negatively correlated with clothing, the F of 60X R014121 of the Zhongmian cotton institute is respectively screened out
2High-strength materials and low-strength materials of fibers in the population; longer length material, shorter length material; the material with higher clothes score is 30 plants of the material with lower clothes score; EZ 60X F of R014121
2High-strength fiber material in the population,A low-strength material; longer length material, shorter length material; the material with higher clothes score is 30 plants of the material with lower clothes score; extracting the genomic DNA of the leaves;
(3) high-strength single plants and low-strength single plants of the two groups are selected; the single plants with longer length and the single plants with shorter length; respectively mixing the genomic DNAs of the individuals with higher clothes scores and the individuals with lower clothes scores in equal quantity to construct 6 groups of BSA mixed pools;
(4) sequencing DNA of each mixed pool by using a high-throughput re-sequencing technology, wherein the sequencing depth of each mixed pool is 30 x of the cotton genome DNA, analyzing the result by using a QTL-seqr software package in an R language, and pointing to a common segment (QTL) qFS-chrD02-1 (FS represents fiber strength, chrD02 represents a D02 chromosome, and QTL) qFS-chrD02-1 represents the first QTL related to the fiber strength positioned on the D02 chromosome), which is a major genetic locus of the fiber strength of upland cotton.
The invention has the following advantages:
the invention is applied to respectively construct an F2 segregation population containing 1000 individuals by utilizing cotton seed 60 in a variety with excellent comprehensive properties of sister line materials with similar genetic backgrounds, strain EZ60 with poor fiber quality and R014121 in a common male parent. The strength and the length of the cotton fiber are positively correlated and the cotton fiber is negatively correlated with the clothing component, so that mixed pools are respectively constructed by combining materials with related characters at the extreme ends, and a composite BSA-seq technology is used for quickly obtaining a common segment (QTL).
The medium cotton institute 60 and the strain EZ60 used in the invention are sister line materials with similar genetic background, and F is constructed by the sister line materials and R014121 in a common male parent
2Separating the population, researching the ideal material of quantitative trait inheritance, effectively eliminating the interference of genetic background in the population and improving the accuracy of the positioning of the complex agronomic trait genes.
A segregation population is constructed based on sister material, and the fiber strength qFS-D02-1 is precisely and efficiently positioned by combining a duplex BSA-seq technology of extreme material among related characters and RNA-seq data.
Drawings
FIG. 1 shows 60 Xmiddle R014121F of cotton institute of the invention
2The length extreme mixing pool G-value and SNP-index result;
FIG. 2 shows 60 Xmiddle R014121F of cotton institute of the invention
2The strength extreme mixed pool G-value and SNP-index result;
FIG. 3 shows EZ 60X middle R014121F
2The length extreme mixing pool G-value and SNP-index result;
FIG. 4 shows 60 Xmiddle R014121F of cotton institute of the invention
2The G-value and SNP-index results of the extreme mixing pool of the clothes-branches;
these shared peak maps point to the D02 chromosome.
Detailed Description
The invention is further illustrated by the following detailed description of specific embodiments:
the invention relates to a method for rapidly identifying a major QTL (quantitative trait locus) of cotton related traits by using compound BSA-seq, which comprises the following specific steps of:
(1) f of main effect QTL for fast identifying cotton-related traits by using compound BSA-seq
2The method and the process for cultivating the colony are as follows: respectively taking the cotton institute 60 and the selected line EZ60 of the upland cotton variety cultivated by the cotton research institute of Chinese academy of agricultural sciences as female parents, taking R014121 of the boll material with excellent fiber quality cultivated by the cotton research institute of Chinese academy of agricultural sciences as a common male parent, respectively preparing hybrid combinations at the test farms of the cotton research institute of Chinese academy of agricultural sciences (Henan Anyang) in summer of 2015, and planting F in Anyang in 2016
1Planting 1000 single plants of F in Anyang in 2017
2The population is selfed to obtain F
2:3Family, 300F of 60 XZhongR 014121 combinations of Zhongmiao cotton institute were selected respectively
2:3Family and EZ60 x 200F of R014121 combination
2:3Family, and combining with Hainan generation-adding propagation in winter, selecting one selfing bell for each plant in the family, and harvesting in a mixed manner to obtain F
2:4。F
2Harvesting flowers according to individual plants, F
2：3And F
2:4Collecting flowers according to families, respectively testing seeds to obtain clothes score data, and taking 12-15g of fiber samples for measuring the fiber quality. For the relevant phenotypes (intensity, length and clothes score), consider F
2，F
2:3，F
2:4Extreme material phenotype data of the population, individual plants with consistent extreme phenotype performance were screened as target material for subsequent BSA-seq analysis.
In the invention, the selected line EZ60 and the middle R014121 of the Chinese cotton plant 60 are from a national cotton germplasm middle-term bank (address: yellow river Daodan No. 38 of Anyang Kaiyang Kaiyuan of Henan province, zip code: 455000), and the national germplasm unified bank numbers are respectively as follows: m116025 and ZM 115357.
(2) Take F
2The DNA of 1000 individuals of 60 XZhongR 014121 combination of Miyaogan, 1000 individuals of EZ60 XZhongR 014121 combination and DNA of 60, EZ60 and ZhongR 014121 of three parents Miyaogan were extracted from leaf samples of the population by the CTAB method.
(3) Extracting DNA of the extreme single plant screened in the step (1), detecting the integrity and the concentration of the DNA by agarose gel electrophoresis and NANODROP 2000, and constructing a mixed pool (60 XF of R014121 in Mizhongmian institute) according to different characteristics of different populations
2High-strength materials and low-strength materials of fibers in the population; longer length material, shorter length material; the clothes are higher in grade, and the clothes are lower in grade, and the total number of the materials is 3 groups of mixing tanks; EZ 60X F of R014121
2High-strength materials and low-strength materials of fibers in the population; longer length material, shorter length material; 3 groups of mixing tanks are used for materials with higher clothes content and 3 groups of mixing tanks are used for materials with lower clothes content), and each part of DNA in the mixing tanks is mixed in equal quantity, so that 6 groups of mixing tanks are constructed.
(4) Sequencing 6 groups of mixed pool DNA and three parental DNAs by using a high-throughput re-sequencing technology, comparing sequencing data to a reference genome by using BWA software, and detecting SNP and INDEL loci by using GATK software.
(5) The results of the step (4) are analyzed by using a QTL-seqr software package, and the six groups of mixed pool results point to a common major locus qFS-chrD02-1 (figure 1) which has an interval of 3.15Mb (table 1) on a physical map and also comprises the length of upland cotton fibers (figure 2 and figure 3) and the major gene locus of clothes (figure 4).
TABLE 1 screening of consensus interval information
Note: the start position, length and other information of the D02 chromosome corresponding to the shared peak map, the start position of the minimum QTL is 17241605bp, the stop position is 20388962bp and the size is 3.15 MB.
Claims (5)
1. A method for rapidly identifying a major QTL of cotton-related traits by using compound BSA-seq is characterized by comprising the following steps:
(1) utilizing sister line varieties with excellent comprehensive properties of materials with similar genetic backgrounds and strains with poor fiber quality and common male parents to respectively construct hybrid combinations of two upland cottons, wherein the combination I: variety x male parent with excellent comprehensive character, combination ii: lines of poor fiber quality x male parent, obtained F containing 1000 individuals each
2Segregating population and F
2:3，F
2:4Population and accurate identification of F
2，F
2:3，F
2:4Phenotypic data of the population;
(2) respectively screening the variety X male parent with excellent comprehensive character and the line X male parent with poor fiber quality according to the characteristics that the cotton fiber strength is in positive correlation with the length and is in negative correlation with the clothing component
2High-strength material single plants and low-strength material single plants in the population; the single plant material with longer length and the single plant material with shorter length; extracting leaf genome DNA from the individual plant material with higher clothes score and the individual plant material with lower clothes score;
(3) high-strength single plants and low-strength single plants of the two groups are selected; the single plants with longer length and the single plants with shorter length; equivalently mixing the genomic DNAs of the individuals with higher clothes scores and the individuals with lower clothes scores to construct six groups of BSA mixed pools;
(4) and (2) sequencing the DNA of the mixed pools by using a high-throughput re-sequencing technology, wherein the sequencing depth of each mixed pool is 30 times of that of the cotton genome DNA, the results are analyzed by using a QTL-seqr software package, and the six groups of BSA mixed pool results point to a common section qFS-chrD02-1 which is a major genetic locus of the upland cotton fiber strength.
2. The method for the rapid identification of cotton-related trait's major QTL by duplex BSA according to claim 1, wherein: in the step (1), the variety with excellent comprehensive properties is Zhongmiao 60, the line with poor fiber quality is Zhongmiao 60 selected line EZ60, the common male parent is Zhongmiao R014121, and the combination I: medium cotton institute 60 × medium R014121, combination ii: EZ60 × middle R014121.
3. The method for the rapid identification of cotton-related trait's major QTL by duplex BSA according to claim 2, wherein: in the step (1), the 60 line of the Chinese cotton plant EZ60 is selected, and the national germplasm unified library number is as follows: m116025, wherein R014121 national germplasm uniform library number: ZM115357, all stored in the middle-term library of national cotton germplasm.
4. The method for the rapid identification of cotton-related trait's major QTL by duplex BSA according to claim 2, wherein: in the step (2), according to the characteristics that the strength and the length of the cotton fiber are positively correlated and the cotton fiber is negatively correlated with the clothing, F of 60 multiplied by R014121 of the Zhongmian cotton institute is respectively screened out
2High-strength materials and low-strength materials of fibers in the population; longer length material, shorter length material; the material with higher clothes score is 30 plants of the material with lower clothes score; EZ 60X F of R014121
2High-strength materials and low-strength materials of fibers in the population; longer length material, shorter length material; the material with higher clothes score is 30 plants of the material with lower clothes score; extracting the genomic DNA of the leaves.
5. The method for the rapid identification of cotton-related trait's major QTL by duplex BSA according to claim 2, wherein: in the step (3), the six groups of BSA mixed tanks are respectively as follows: 60X F of R014121 in Mizhongmian institute
2High-strength materials and low-strength materials of fibers in the population; longer length material, shorter length material; the clothes are higher in grade, and the clothes are lower in grade, and the total number of the materials is 3 groups of mixing tanks; and EZ 60X F of R014121
2High-strength materials and low-strength materials of fibers in the population; longer length material, shorter length material; the material with higher clothes content and the material with lower clothes content are mixed in 3 groups.
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| CN112216343A (en) * | 2020-10-28 | 2021-01-12 | 遵义市农业科学研究院 | Screening method of tomato spotted wilt virus resistant hot pepper plants |
| CN117305506A (en) * | 2023-11-07 | 2023-12-29 | 四川省农业科学院植物保护研究所 | Accurate rice false smut resistance gene identification method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112216343A (en) * | 2020-10-28 | 2021-01-12 | 遵义市农业科学研究院 | Screening method of tomato spotted wilt virus resistant hot pepper plants |
| CN112216343B (en) * | 2020-10-28 | 2023-08-15 | 遵义市农业科学研究院 | Screening method of tomato spotted wilt virus resistant pepper plants |
| CN117305506A (en) * | 2023-11-07 | 2023-12-29 | 四川省农业科学院植物保护研究所 | Accurate rice false smut resistance gene identification method |
| CN117305506B (en) * | 2023-11-07 | 2024-05-28 | 四川省农业科学院植物保护研究所 | Accurate rice false smut resistance gene identification method |
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