Identification For Quality Traits In RIL,F_2:3 Population And Analysis Of Oil Content Related Molecular Markers In Cultivated Peanut?Arachis Hypogaea L.?

Peanut?Arachis hypogea L.?is one of the most important economic and oil crops in the world.In recent years,the main breeding goal of peanut has already been transferred from high-yield and better quality to better quality,high-yield and special-aim.Quality characters of peanut include fat,protein,oleic acid,linoleic acid,arachidic acid,behenic acid,palmitic acid and stearic acid,etc.,and it is difficult to efficiently screen these characters using traditional breeding methods.The development of molecular markers technology speeds up the process of selection for quality characters,which provides an effective approach for genetic improvement of the quality characters in peanut.In this study,RIL populations?2016and 2017?derived from a cross between Silihong?var.fastigiata?and Jinonghei3?var.hypogaea?and three F_2:3 populations(F_2:3-1,Huayu33×JinongG110;F_2:3-2,Huayu71×Juhua13 and F_2:3-3,Puhua28×Jihua13,in 2017)were used as materials for the analysis of quality traits and detection and identification of molecular markers related to quality traits.The main results were as follows:1.All the quality traits were typical quantitative traits accordance with normal distribution in RIL and F_2:3 populations.The coefficient of variation of quality traits in RIL population ranged from 4.26%to 36.46%,and oil content possessed the smallest coefficient of variance and the maximum coefficient of variation was stearic acid according to the two years results.The coefficient of variation of quality traits in F_2:3 populations were ranged from 3.28%⁵3.47%in 2017,and the oil content was considered to be the most stable trait,while the linoleic acid had the maximum variation coefficient.2.According to the results of significant analysis for RIL population,protein and arachidic acid showed no significant difference between two years,but fat content and other quality traits existed significant differences between two years.There were also significant interaction effects between genotype and environment.3.In the RIL population,1 line with both stable high oil content and low palmitic acid content,and 22 lines with protein content higher than high value parents,11 lines with higher oleic acid content than their high value parents,and 1 line with arachidic acid higher than high value parents were obtained by phenotypic analysis in two years.4.In RIL population,the fat content was highly significant negative correlated with protein,oleic acid,arachidic acid and behenic acid,but highly significant positive correlated with palmitic acid.Protein was highly significant negative correlated with palmitic acid and stearic acid,but highly significant positive correlated with behenic acid and oleic acid.Palmitic acid was highly significant positive correlated with linoleic acid and stearic acid,and was highly significant negative correlated with oleic acid?p=-0.901?,arachidic acid and behenic acid.In F_2:3 population,the fat content was highly significant negative correlated with palmitic acid and oleic acid,and highly significant positive correlated with stearic acid between 3 populations.5.Seven primers could amplify the polymorphic bands in F2:3 populations among 22SSR molecular markers which related to oil content,and 5 markers showed significant correlation with oil content?PM36,PMc348,AHGS1415,SeQ16F01 and TC1A08?.TC1A08 was significantly correlated with fat content in the F_2:3 populations,and the coincidence rates for high oil content were 89.47%,71.43%and 67.35%respectively.PM36,PMc348,AHGS1415 and SeQ16F01 only exhibited significant correlation in F_2:3-1,and the coincidence rates of detection for high oil content line were 68.42%,89.74%,81.58%and82.14%,respectively.Thirty-one lines with high oil content were obtained both phenotypic and genotype detection.Identification of main quality traits in RIL and F2:3 populations phenotypic laid a foundation for QTL mapping.The result of correlation analysis and the screening of superior lines and molecular markers related to oil content provide materials and reference for improvement of peanut quality traits via marker-assisted selection.