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References


Akagi H, Yokozeki Y, Inagaki A, Mori K, Fujimura T (2001) Micron, a microsatellite-targetting transposable element in the rice genome. Molecular Genetics and Genomics 266(3): 471–480.

Bollinedi H, Yadav AK, Vinod KK, Krishnan SG, Bhowmick PK, Nagarajan M, Neeraja CN, Ellur RK, Singh AK (2020) Genome-Wide Association Study Reveals Novel Marker-Trait Associations (MTAs) Governing the Localization of Fe and Zn in the Rice Grain. Frontiers in genetics, 11. doi.org/10.3389/fgene.2020.00213

Bouis HE, Saltzman A (2017) Improving nutrition through biofortification: a review of evidence from HarvestPlus, 2003 through 2016. Global Food Security 12: 49-58.

Bouis HE, Welch RM (2010) Biofortification—a sustainable agricultural strategy for reducing micronutrient malnutrition in the global south. Crop Science 50:S20-S32.

Challa V, Kole PC (2019) Parental evaluation and polymorphism survey of drought contrasting donor and recurrent parents in rice (Oryza sativa L) using microsatellite markers. Electronic Journal of Plant Breeding 10(2): 406-412.

Cho YG, Ishii T, Temnykh S, Chen X, Lipovich L, McCouch SR, Park WD, Ayres N, Cartinhour S (2000) Diversity of microsatellites derived from genomic libraries and GenBank sequences in rice (Oryza sativa L.). Theoretical and Applied Genetics 100: 713-722.

Das P, Adak S, Majumder AL (2020) Genetic manipulation for improved nutritional quality in rice. Frontiers in Genetics 11:776.doi.org/10.3389/fgene.2020.00776

Daware A, Das S, Srivastava R, Badoni S, Singh AK, Agarwal P, Parida SK, Tyagi AK (2016) An efficient strategy combining SSR markers-and advanced QTL-seq-driven QTL mapping unravels candidate genes regulating grain weight in rice. Frontiers in plant science 7: 1535. 16. doi.org/10.3389/fpls.2016.01535

Gautam RK, Srikumar M, Singh PK, Singh AK, Sakthivel K, Ahmad I, Devakumar K (2015) Polymorphism Between Popular Rice Varieties of Andaman and Bacterial Blight Resistant Donor IRBB60 Revealed Through Highly Variable SSR Markers. Vegetos (International Journal of Plant Research) 29: 1-5.

Ghose B, Sarker S, Kpoghomou MA, Gao H, Jun L, Yin D, Ghosh S (2013) Self sufficiency in rice and food security: a South Asian perspective. Agriculture & Food Security 2(1): 10.

Gramene marker database (2019) Gramene marker database available at https://www.gramene.org/ accessed on 20 July, 2019.

Grover A, Aishwarya V, Sharma PC (2007) Biased distribution of microsatellite motifs in the rice genome. Molecular Genetics and Genomics 277(5): 469-480.

HarvestPlus (2014) Biofortification progress briefs available on http://www.harvestplus.org/sites /default/files/Biofortification_Progress_Briefs_August2014_WEB_0.pdf accessed on 10th  July, 2020.

He HQ, Jia XL, Liang YY, Shen LH, Song BQ, Guo YC, Liang KJ, Lin WX (2004) Assessment of genetic diversity of allelopathic rice germplasm based on RAPD and ISSR. Acta Genetica Sinica 31(9): 888-894.

Hotz C, Brown KH (2004) Assessment of the risk of zinc deficiency in populations and options for its control. Food and Nutrition Bulletin 25: S91S204.

Kim SR, Yang J, An G, Jena KK (2016) A simple DNA preparation method for high quality polymerase chain reaction in rice. Plant Breeding and Biotechnology 4:99–106.

Kumar GS, Kumari KA, Rani CVD, Sundaram RM, Vanisree S, Jamaloddin, M, Swathi G (2013) Study of simple sequence repeat (SSR) polymorphism for biotic stress resistance in elite rice variety JGL 1798. African Journal of Biotechnology 12(40): 5833-5840.

Lee SM, Kang JW, Lee JY, Seo J, Shin D, Cho JH, Jo S, Song YC, Park DS, Ko JM, Koh HJ, Lee JH (2020) QTL Analysis for Fe and Zn Concentrations in Rice Grains Using a Doubled Haploid Population Derived from a Cross Between Rice (Oryza sativa) Cultivar 93-11 and Milyang 352. Plant Breeding and Biotechnology 8(1): 69-76.

McCouch SR, Teytelman L, Xu Y, Lobos KB, Clare K, Walton M, Fu B, Maghirang R, Li Z, Xing Y, Zhang Q, Kono I, Yano M, Fjellstrom R, Declerck G, Schneider D, Cartinhour S, Ware D, Stein L (2002) Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.) (supplement). DNA Research : an International Journal for Rapid Publication of Reports on Genes and Genomes 9: 257-279.

Morgante M, Hanafey M, Powell W (2002) Microsatellites are preferentially associated with nonrepetitive DNA in plant genomes. Nature Genetics 30(2):194-200.

Narshimulu G, Jamaloddin M, Vemireddy LR, Anuradha G, Siddiq E (2011) Potentiality of evenly distributed hypervariable microsatellite markers in marker?assisted breeding of rice. Plant Breeding 130(3): 314-320.

Pradhan SK, Pandit E, Pawar S, Naveenkumar R, Barik SR, Mohanty SP, Nayak DK, Ghritlahre SK, Rao DS, Reddy JN, Patnaik SSC (2020b) Linkage disequilibrium mapping for grain Fe and Zn enhancing QTLs useful for nutrient dense rice breeding. BMC plant Biology 20(1):57.

Pradhan SK, Pandit E, Pawar S, Pradhan A, Behera L, Das SR, Pathak H (2020a) Genetic regulation of homeostasis, uptake, bio-fortification and efficiency enhancement of iron in rice. Environmental and Experimental Botany 177:104066. DOI: 10.1016/j.envexpbot.2020.104066.

Prigge V, Melchinger AE, Dhillon BS, Frisch M (2009) Efficiency gain of marker-assisted backcrossing by sequentially increasing marker densities over generations. Theoretical and Applied Genetics 119(1): 23-32.

Rao DS, Neeraja CN, Babu PM, Nirmala B, Suman K, Rao LVS, Surekha K, Raghu P, Longvah T, Surendra P, Kumar R, Babu VR, Voleti SR (2020) Zinc biofortified rice varieties: challenges, possibilities, and progress in India. Frontiers in Nutrition 7:26. doi.org/10.3389/fnut.2020.00026.

Schlotterer C (2000) Evolutionary dynamics of microsatellite DNA. Chromosoma 109:365–371.

Servin B, Hospital F (2002) Optimal positioning of markers to control genetic background in marker-assisted backcrossing. Journal of Heredity 93: 214-217.

Shivani D, Suman K, Madhubabu P, Rathod R, Cheralu C, Shankar VG, Neeraja CN (2020) Parental polymorphism in iron-and zinc-rich rice varieties (Swarna and type 3) using ssr markers. Applied Biological Research 22(1): 69-75.

Swamy BM, Kaladhar K, Shobha Rani N, Prasad GSV, Viraktamath BC, Reddy GA, Sarla N (2012) QTL analysis for grain quality traits in 2 BC2F2 populations derived from crosses between Oryza sativa cv Swarna and 2 accessions of O. nivara. Journal of Heredity 103(3): 442-452.

Temnykh S, DeClerk G, Lukashova A, Lipovich L, Cartinhour S, McCouch S (2001) Computational and experimental analysis of microsatellites in rice (Oryza sativa L.): frequency, length
variation, transposon associations, and genetic marker potential. Genome Research 11:1441-1452.

Temnykh S, Park WD, Ayres N, Cartinhour S, Hauck N, Lipovich L, Cho YG, Ishii T, McCouch SR (2000) Mapping and genome organization of microsatellite sequences in rice (Oryza sativa L.). Theoretical and Applied Genetics 100: 697-712.

The Rice Annotation Project Database (2019) The Rice Annotation Project Database available on https://rapdb.dna.affrc.go.jp/tools/blast accessed on 22 July, 2019.

Van Berloo R (2007) GGT: user manual Version 2.0. Wageningen (The Netherlands): Wegeningen University. Available on http:// www.plantbreeding.wur.nl/Software/ggt/ggt2_manual. Accessed on 23 July, 2019.

Van Berloo R (2008) GGT 2.0: Versatile Software for Visualization and Analysis of Genetic. Journal of Heredity  99(2): 232-236.

Virk P, Barry G (2009) Biofortified ricetowards combating human micronutrient deficiencies.   International Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines.

Vishalakshi B, Umakanth B, Usha G, Senguttuvel P, Prasad MS, Hari Y, Sudhakar P, Satya AK, Madhav MS (2020) Validation of Markers Linked to Yield under Drought, Blast Resistance and Assessment of Polymorphism among the Donors for Use in Marker Assisted Selection in Rice. Current Journal of Applied Science and Technology 181-190.

Waghmare SG, Sindhumole P, Shylaja MR, Mathew D, Francies RM, Abida PS, Sajini S (2018) Analysis of simple sequence repeat (SSR) polymorphism between N22 and Uma rice varieties for marker assisted selection. Electronic Journal of Plant Breeding 9(2): 511-517.

Yerva SR, Singh SK, Singh DK, Habde S, Behera PP (2018) Parental polymorphic survey for high Zn and Fe content in grains of rice (Oryza sativa. L) using SSR markers. Journal of Pharmacognosy and Phytochemistry 7(4): 1362-1367.

Zhang YY (2005) The analysis of genetic diversity for indica local rice from different place of China. MSc thesis. The Chinese Academy of Agricultural Sciences

 

 

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