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Identification of QTLs for Yield and Associated Traits in F_(2) Population of Rice

Phyton-International Journal of Experimental Botany 2022年第11期91卷 2439-2459页

作者： Rohini Bhat Anil Kumar Singh Muntazir Mushtaq Romesh Kumar Salgotra Manmohan Sharma Basharat Ahmad Bhat Umer Basu Ibrahim Al-Ashkar Mohammad Anwar Hossain Akihiro Ueda Ayman El Sabagh ICAR-Directorate of Onion and Garlic RajgurunagarPuneMaharashtra410505India School of Biotechnology Sher-e-Kashmir University of Agricultural Sciences and Technology of JammuChatha180009India ICAR-National Bureau of Plant Genetic Resources Pusa CampusNew Delhi110012India Department of Bio-Resources University of KashmirJammu and Kashmir190006India Division of Plant Pathology Sher-e-Kashmir University of Agricultural Sciences and Technology of JammuChatha180009India Department of Plant Production College of Food and AgricultureKing Saud UniversityRiyadh11451Saudi Arabia Department of Genetics and Plant Breeding Bangladesh Agricultural UniversityMymensingh2202Bangladesh Graduate School of Integrated Sciences for Life Hiroshima UniversityHigashi-Hiroshima739-8528Japan Department of Agronomy Faculty of AgricultureKafrelsheikh UniversityKafrelsheikh33516Egypt

Identification of quantitative trait loci(QTLs)controlling yield and yield-related traits in rice was performed in the F_(2) mapping population derived from parental rice genotypes DHMAS and K343.A total of 30 QTLs governing nine different traits were identified using the composite interval mapping(CIM)*** QTLs were mapped for number of tillers per plant on chromosomes 1(2 QTLs),2 and 3;three QTLs for panicle number per plant on chromosomes 1(2 QTLs)and 3;four QTLs for plant height on chromosomes 2,4,5 and 6;one QTL for spikelet density on chromosome 5;four QTLs for spikelet fertility percentage(SFP)on chromosomes 2,3 and 5(2 QTLs);two QTLs for grain length on chromosomes 1 and 8;three QTLs for grain width on chromosomes1,3 and 8;three QTLs for 1000-grain weight(TGW)on chromosomes 1,4 and 8 and six QTLs for yield per plant(YPP)on chromosomes 2(3 QTLs),4,6 and *** of the QTLs were detected on chromosome 2,so further studies on chromosome 2 could help unlock some new chapters of QTL for this cross of rice *** QTLs elucidating high phenotypic variance can be used for marker-assisted selection(MAS)***,the exploitation of information regarding molecular markers tightly linked to QTLs governing these traits will facilitate future crop improvement strategies in rice.

关键词： Rice QTL mapping linkage map SSR markers composite interval mapping marker-assisted selection

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QTL Analysis of Agronomic Traits in Soybean

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Agricultural Science & Technology 2010年第1期11卷 51-54,72页

作者：吕祝章杨建华李玉环常汝镇邱丽娟日照职业技术学院山东日照276826 中国农业科学院作物研究所国家农作物基因资源与遗传改良重大科学工程农业部作物种质资源与生物技术重点开放实验室北京100081

[Objective]The aim was to analyze QTL of agronomic traits in soybean and provide reference for a discussion on soybean genetic mechanism and genetic breeding. [Method]The composite interval mapping method was used for QTL location and genetic effects analysis on 5 quantitative traits including protein content,fat content,yield,100-grain weight and growth period. [Result]The control of these traits 4,4,1,2,5,a total of 16 QTL loci was detected. The genetic contribution rate was in 7.4%-33.7%,among which,a large main-effect QTL of the genetic contribution rate were located in linkage group I Satt562-Sat_219,Sat_219-Satt496,Sat_219-Satt496 interval of the three control protein content QTL sites,their genetic contribution rates were 29.15%,33.7 % and 31.67% respectively,all from the female parent Hefeng 25 plus minor gene; still in O linkage group Satt477-Satt331,Satt331-Satt153 interval of two control growing period QTL loci,their genetic contribution rates were up to 24.69% and 24.96%,also from the female parent Hefeng 25 plus minor gene. In addition,six QTL sites from M linkage group Satt175 （protein）,A1 linkage group Satt684 （oil）,F linkage group Satt348 （oil）,J linkage group Sat_412 （oil）,C1 linkage group Sat_416 （100-grain weight） and C1 linkage group Sat_416 （growth period） marks only 0.01 cm were detected. [Conclusion]QTL sites which had effects on the 5 important agronomic traits in soybean were located.

关键词： Soybean composite interval mapping Agronomic traits QTL

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