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Primary Mapping QTLs Controlling Protein And Oil Content Based On Associated Ril Populations Of Soybean Across Multiple Environments

Posted on:2019-05-24Degree:DoctorType:Dissertation
Country:ChinaCandidate:Asif Ali KaleriFull Text:PDF
GTID:1363330545464064Subject:Crop Genetics and Breeding
Abstract/Summary:PDF Full Text Request
Seed protein and oil content are considered as one of the most important quantitative traits in soybean.Enhancing protein and oil content in seed of soybean is one of the main objectives of breeding programs.Previous studies have shown that quantitative trait loci?QTLs?related to seed protein and oil content mostly have single genetic background.The current study was conducted to find the new?QTLs?for protein content?PC?and oil content?OC?in seed of soybean grown under different environmental conditions.The main objective of this study was to discover and validate?QTLs?linked with PC and OC in two recombinant inbred line populations?RILS?.A total of eight QTLs with both epistatic and additive effects were detected for protein and oil content.Quantitative trait loci?QTL?mapping was done based on epistatic effects and additive environment x interaction effects.F2:6 populations were developed by a single seed descent method at North East Agricultural University Harbin China.The 1st population is comprised of 134 RILs,which were derived from crosses of Dongnong L13?45.50% protein,18.74% oil?×Heihe36?39.80% protein,19.28% oil?and the 2nd population RIL?6013?consisted of 156 RILs,which were developed by cross between Dongnong L13×Henong 60?38.47% protein,22.25% oil?.All the RILs seeds were reproduced in winter at Hainan?E 110.35°,N 20.02°?in 2012,while at Keshan?E125.64°,N48.25°?in May of 2013 and 2015,and at Harbin?E 126.63°,N 45.75°?in May of 2014 and 2015.The results revealed that in RIL3613 maximum protein content was recorded ranging 47.37%?PC?in environment 2013 KS?Keshan?and oil content 22.37%?OC?,was recorded in 2014 HRB?Harbin?.On the other hand,the minimum protein content and oil content was recorded 36.74%?PC?in 2014 HRB?Harbin?environment and?OC?recorded ranging 15.19%?OC?in 2013 KS respectively.The results of RIL6013 population demonstrated that high protein content 39.90% was recorded in 2015HEB?Harbin?environment and maximum oil content 22.63% in the 2015HEB?Harbin?environment,the minimum protein content and oil content 37.18%?PC?and 16.40% was found in 2013KS?Keshan?environment.We identified 14 QTLs among them 9 QTLs for protein content and 5 QTLs for oil content.We observed that QTLsSct067Satt589 which was identified on linkage group?LGs?A2?E2 Oil and E1 Oil?were consistently detected in both environments 2014 HRB?Harbin?and 2013KS?Keshan?.Our results indicated wide variations across the lines and among different environments in protein and oil contents.In this study,two RIL populations were assessed,and 14 QTLs were found,including nine and five responsible for protein and oil contents,respectively.Among the fourteen QTLs,only qpro-O-1 in RIL 3613 and qpro-O-2 of RIL6013 were located in the same region;the genomic regions of eight QTLs?qpro-A1-1,qpro-B1-1,qpro-D2-1,qpro-I-1,qpro-J-1,qpro-L-1,qoil-A2-1,qoil-D1a-1?derived from RIL3613 were different from those of the four QTLs?qpro-F-1,qoil-C1-1,qoil-D2-1,qoil-H-1?in RIL6013.Found in our research are responsible for protein and oil contents,respectively,explained 6.4515%-13.0368% and 5.7236%-17.7396% of the overall phenotypic variations.We identified eight main-effect QTLs for protein and oil content?qPro-D2-1,qPro-G-1,qPro-L-1,qPro-C1-1,qOil-A2-1,qOil-G-1,qOil-H-1,qOil-D2-1?with main additive effect We detected four epistatic-effect QTLs,including pair for protein content and the other for oil content for epistatic effects?qPro-A1-1,qPro-M-1 and qOil-H-1,qOil-D1-1?than for both traits.These results suggest that marker-assisted selection could be an efficient tool for improving protein and oil concentration in soybean.These newly located QTLs will be very valuable for breeding and developing efficient cultivars with better yield potential and nutritional quality.And demonstrates the ability of the analysis to investigate the genetic factors influencing the quantitative traits and illustrates the relative significance of the various components as the genetic basis of protein and oil content in these populations.
Keywords/Search Tags:Soybean, QTL, Protein content, Oil contents, Environment, additive effect, epistatic effect, protein and oil content
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