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Qtl Mapping Of Quality And Yield Related Agronomic Traits In Soybean

Posted on:2013-02-12Degree:MasterType:Thesis
Country:ChinaCandidate:T WangFull Text:PDF
GTID:2283330467451593Subject:Crop Genetics and Breeding
Abstract/Summary:PDF Full Text Request
Soybean is an important economic and food crop, and the main source of plant and oil for human to intake. With the improvement of people’s living standard and health awareness, the demand for soybean increased year by year. Increasing the yield and improving the quality of soybean has become the important target for breeders. Most quality ahd yield related agronomic traits are quantitative trait and were control by multiple genes. Using the molecular markers technology to construct genetic linkage map and detecting the linkage level between markers and quantitative trait loci to detect the value of objective traits of QTL for soybean breeding has become the focus in soybean research. This research use high protein variety Jidou12and high oil variety Ji nf58which were cultivated by Hebei grain and oil crop research institute to constructed recombinant inbred population of F9;11generation as research material. Using correlation analysis for the important agronomic traits in four environment in order to reveal the connection between the characters and using the QTL mapping analysis to excavate the stability and main effect QTL in order to provide theoretical basis for fine mapping, map-based cloning and marker-assisted breeding.1. Correlation research between agronomic traitsThis research used recombinant inbred line population of F9:11generation which constructed by Jidou12and Ji nf58as research material and comprehensive analysis in four environment, we can know, yield related characters were positively correlated in addition to100-seed weight and most showed extremely significant. In the four environment, the correlation between plant height and main-stem nodes、pods per plant、seeds per plant and seeds weight per plant were higher than with those of other characters and performance stable. Seeds per plant and100-seed weight as the direct components of yield were negatively correlated, they were contradiction to decline each other. Protein and oil content were negative correlation, showed extremely significant and higher than with others, they were closely and restrict each other. 2. Construction of molecular genetic mapUsing the separation of134SSR markers in the population and Map Manager QTXb20software, we can obtain a genetic linkage map for a total length of1373.6cM which contains25linkage groups,117SSR markers. This map can cover the public map of20linkage groups and most correspond well with it.3. QTL mapping for quality and yield related agronomic traitsUsing composite interval mapping method of windows QTL Cartographer2.5analysis software we were detected31QTL loci affecting quality traits and the genetic contribution ratio between6%-36.6%; detected94QTL loci affecting yield-related traits and genetic contribution ratio between4.7%~55.6%.31QTLs can be detected repeatedly in two or more environment and mapped on the same position. QTL which affected the quality traits concentrative in the marker interval sat272-satt509of B1linkage group, satt063-satt726and satt726-satt458of B2linkage group, sat222-sattO82of D2linkage group, in which additive effect of QTL which control protein content is negative and the synergistic gene from Jidou12, additive effect of QTL which control oil content is positive and the synergistic gene from Ji nf58. QTL which affected the yield related agronomic traits concentrative in the marker interval satt156-satt229of L linkage group, satt286-satt460of C2linkage group and satt477-sat190of O linkage group. The additive effect of the QTL located in C2linkage group which affected yield-related traits in three environment of2011are negative and synergistic gene from Jidou12, additive effect of the QTL located in L and O linkage group except affected100-seed weight trait are positive and synergistic gene from Ji nf58. Researching the chromosome segments where the gene dense distribution and exploring the genetic mechanism, we can not only push the marker-assisted breeding into practical, but also can accelerate the polymerization breeding of beneficial gene.
Keywords/Search Tags:Soybean, Molecular marker, Genetic map, QTL, Correlation analysis, Quality traits, Yield-related traits
PDF Full Text Request
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