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  • Open Access

    ARTICLE

    Quantitative Trait Loci (QTL) Mapping and Marker Analysis of Fatty Acids in Peanut

    Xiao Han, Songnan Yang, Xueying Li, Qiulin Wu, Yongyi Xing, Jun Zhang*, Fenglou Ling*

    Phyton-International Journal of Experimental Botany, Vol.92, No.9, pp. 2577-2589, 2023, DOI:10.32604/phyton.2023.029440

    Abstract Peanut, with high oil content, has been a major oil and food crop globally. The compositions of the fatty acids are the common factors in determining the oil quality. In the present study, an F2 segregated population with 140 individuals derived from the cross of Weihua8 (a cultivar) and 12L49 (a line with high oleic acid concentration) was used to construct a genetic map and conduct QTL mapping analysis. A total of 103 polymorphic SSR primers were utilized for genotyping the RILs and finally generating the SSR loci. Within the 103 SSR loci, a genetic linkage map, covering a total… More >

  • Open Access

    ARTICLE

    Identification of QTLs for Yield and Associated Traits in F2 Population of Rice

    Rohini Bhat1,*, Anil Kumar Singh2, Muntazir Mushtaq3, Romesh Kumar Salgotra2, Manmohan Sharma2, Basharat Ahmad Bhat4, Umer Basu5, Ibrahim Al-Ashkar 6, Mohammad Anwar Hossain7,*, Akihiro Ueda8, Ayman El Sabagh9

    Phyton-International Journal of Experimental Botany, Vol.91, No.11, pp. 2439-2459, 2022, DOI:10.32604/phyton.2022.020100

    Abstract Identification of quantitative trait loci (QTLs) controlling yield and yield-related traits in rice was performed in the F2 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) method. Four 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… More >

  • Open Access

    ARTICLE

    Discovering Candidate Chromosomal Regions Linked to Kernel Size-Related Traits via QTL Mapping and Bulked Sample Analysis in Maize

    Hameed Gul1, Mengya Qian1, Mohammad G. Arabzai1,2, Tianhui Huang1, Qiannan Ma1, Fangyu Xing1, Wan Cao1, Tingting Liu1, Hong Duan1, Qianlin Xiao1,*, Zhizhai Liu1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1429-1443, 2022, DOI:10.32604/phyton.2022.019842

    Abstract Kernel size-related traits, including kernel length, kernel width, and kernel thickness, are critical components in determining yield and kernel quality in maize (Zea mays L.). Dissecting the phenotypic characteristics of these traits, and discovering the candidate chromosomal regions for these traits, are of potential importance for maize yield and quality improvement. In this study, a total of 139 F2:3 family lines derived from EHel and B73, a distinct line with extremely low ear height (EHel), was used for phenotyping and QTL mapping of three kernel size-related traits, including 10-kernel length (KL), 10-kernel width (KWid), and 10-kernel thickness (KT). The results… More >

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