Czech J. Genet. Plant Breed., 2025, 61(1):1-22 | DOI: 10.17221/12/2024-CJGPB
Unravelling population structure and marker trait association using SSR markers among the identified drought tolerant rice landraces (Oryza sativa L.)Original Paper
- 1 Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, India
- 2 Directorate of Research, Tamil Nadu Agricultural University, Coimbatore, India
- 3 Department of Forage Crops, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore, India
- 4 Agricultural Research Station, Paramakudi, India
- 5 Tamil Nadu Rice Research Institute, Aaduthurai, India
- 6 Department of Rice, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore, India
With climate change, plants face numerous stresses, notably drought for rice cultivation. Improving rice drought tolerance is vital for sustainable production in water-scarce regions. Identification of drought tolerant genotypes at the seedling stage of the crop contributes to build a climate resilient genotype during the period of water scarcity and under challenging environmental conditions. Hence, polyethylene glycol-6000 (PEG-6000) induced drought conditions could be used for testing the drought tolerance in rice at an earlier stage of the crop. Optimization of PEG-6000 concentration for screening index at -6 bar was done using three drought-tolerant and two drought-susceptible check varieties based on probit analysis. Subsequently, 100 rice landraces underwent PEG-6000 induced drought screening at –6 bar and a total of 32 genotypes were selected as tolerant. After 14 days of treatment, the nine observations viz. germination %, root length (cm), shoot length (cm), number of secondary roots, fresh weight (g), dry weight (g), shoot/root ratio, root/shoot ratio and vigour index were recorded. Variance analysis, revealing significant genetic variation among genotypes for all studied traits, indicating genetic variability. Post hoc analysis confirmed notable variation among treatments. Principal component analysis revealed three components, with the first three accounting for 88.89% of total variability. With respect to the biplot, the ten genotypes viz., IRGC109, IRGC403, IRGC448, IRGC461, IRGC466, IRGC486, IRGC508, IRGC518, IRGC527 and IRGC535 are the seedling stage drought tolerant genotypes based on shoot length, number of secondary roots and vigour index. Population structure classified the accessions into two subpopulations, reflecting diversity. The allele frequency divergence is 0.095 which is a measure of fixation index revealing that the moderate divergence is not extremely pronounced. Genetic diversity, assessed through 26 SSR markers selected from drought tolerant QTLs and markers related to vigour index, exhibited 100% polymorphism with 115 alleles and an average PIC value of 0.61 per primer. Shannon index varied between 0.34 (RM212) and 1.96 (RM252), averaging 1.18. Six SSR markers viz., RM246, RM302, RM252, RM219, RM251, and RM486 were associated with the six key traits viz., shoot length, root length, number of secondary roots, dry weight, shoot/root ratio, and root/shoot ratio respectively offering valuable resources for selecting drought-tolerant accessions as it provides the first step in the selection of genotypes based on the key traits.
Keywords: molecular diversity; polyethylene glycol; polymorphic information content; Shannon index; seed vigour
Received: February 8, 2024; Revised: July 4, 2024; Accepted: July 15, 2024; Prepublished online: October 4, 2024; Published: January 14, 2025 Show citation
ACS | AIP | APA | ASA | Harvard | Chicago | Chicago Notes | IEEE | ISO690 | MLA | NLM | Turabian | Vancouver |
References
- Addanki K.R., Balakrishnan D., Yadavalli V.R. (2019): Swarna × Oryza nivara introgression lines: A resource for seedling vigour traits in rice. Plant Genetic Resources: Characterization and Utilization, 17: 12-23.
Go to original source...
- Adilova S.S., Qulmamatova D.E., Baboev S.K., Bozorov T.A., Morgunov A.I. (2020): Multivariate cluster and principle component analyses of selected yield traits in Uzbek bread wheat cultivars. American Journal of Plant Sciences, 11: 903.
Go to original source...
- Adkins S.W., Kunanuvatchaidach R., Godwin I.D. (1995): Somaclonal variation in rice- drought tolerance and other agronomic characters. Australian Journal of Botany, 43: 201-209.
Go to original source...
- Ahmed H.G., Zeng Y., Shah A.N., Yar M.M., Ullah A., Ali M. (2022): Conferring of drought tolerance in wheat (Triticum aestivum L.) genotypes using seedling indices. Frontiers in Plant Science, 13: 961049.
Go to original source...
Go to PubMed...
- Anandan A., Anumalla M., Pradhan S.K., Ali J. (2016a): Population structure, diversity and trait association analysis in rice (Oryza sativa L.) germplasm for early seedling vigor (ESV) using trait linked SSR markers. PLoS ONE, 11: e0152406.
Go to original source...
Go to PubMed...
- Anandan A., Mahender A., Kumari R., Pradhan S.K., Subudhi H. N., Thirugnanakumar S., Singh O.N. (2016b): Appraisal of genetic diversity and population structure in assorted rice genotypes for early seedling vigour trait linked markers. ORYZA - An International Journal on Rice, 53: 113-125.
- Ashfaq M., Saleem Haider M., Ali A., Ali M., Hanif S., Mubashar U. (2014): Screening of diverse germplasms for genetic studies of drought tolerance in rice (Oryza sativa L.). Caryologia, 67: 296-304.
Go to original source...
- Ashraf H., Husaini A.M., Ashraf Bhat M., Parray G.A., Khan S., Ganai N.A. (2016): SSR based genetic diversity of pigmented and aromatic rice (Oryza sativa L.) genotypes of the western Himalayan region of India. Physiology and Molecular Biology of Plants, 22: 547-555.
Go to original source...
Go to PubMed...
- Awan S.A., Khan I., Rizwan M., Zhang X., Brestic M., Khan A., El-Sheikh M.A., Alyemeni M.N., Ali S., Huang L. (2021): Exogenous abscisic acid and jasmonic acid restrain polyethylene glycol-induced drought by improving the growth and antioxidative enzyme activities in pearl millet. Physiologia Plantarum, 172 (Special Issue): 809-819.
Go to original source...
- Bhattarai U., Subudhi P.K. (2019): Genetic diversity, population structure, and marker-trait association for drought tolerance in US rice germplasm. Plants, 8: 530.
Go to original source...
Go to PubMed...
- Bilgili D., Mehmet A., Kazim M. (2019): Effects of peg-induced drought stress on germination and seedling performance of bread wheat genotypes. YYU Journal of Agricultural Science, 29: 765-771.
Go to original source...
- Chakraborty A., Viswanath A., Malipatil R., Semalaiyappan J., Shah P., Ronanki S., Rathore A., Singh S.P., Govindaraj M., Tonapi V.A., Thirunavukkarasu N. (2022): Identification of candidate genes regulating drought tolerance in Pearl Millet. International Journal of Molecular Sciences, 23: 6907.
Go to original source...
Go to PubMed...
- Chakravorty A., Ghosh P.D., Sahu P.K. (2013): Multivariate analysis of landraces of rice of West Bengal. American Journal of Experimental Agriculture, 3: 110-123.
Go to original source...
- Christina G.R., Thirumurugan T., Jeyaprakash P., Rajanbabu V. (2021): Principal component analysis of yield and yield-related traits in rice (Oryza sativa L.) landraces. Electronic Journal of Plant Breeding, 12: 907-911.
Go to original source...
- Courtois B., Julien F., Raffaella G., Gianluca B., Gaeetan D., Chantal H., Manuel R., et al. (2012): Genetic diversity and population structure in a European collection of rice. Crop Science, 52: 1663-1675.
Go to original source...
- de Mendiburu F. (2019): Package Agricolae. R Package, Version 1(3). Available on https://cran.r-project.org/web/packages/agricolae/index.html
- Diwan J., Channbyregowda M., Shenoy V., Salimath P., Bhat R. (2013): Molecular mapping of early vigour related QTLs in rice. Research Journal of Biology, 1: 24-30.
- Doyle J.J., Doyle, J.L. (1987): A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin, 19: 11-15.
- Earl D.A., VonHoldt B.M. (2012): STRUCTURE HARVESTER: A website and program for visualizing STRUCTURE output and implementing the Evanno method. Conservation Genetic Resources, 4: 359-361.
Go to original source...
- El-Gamal W.H., Draz A.E., Abo El-Maksoud M.M., El-Moghazy A.M. (2015): Genetical and molecular analysis of rice yield and some anatomical root traits under water deficit conditions. Egyptian Journal of Agricultural Research, 93.
- Enyew M., Dejene T., Lakew B., Worede F. (2019): Clustering and principal component analysis of barley (Hordeum volugare L.) landraces for major morphological traits from North Western Ethiopia. International Journal of Agricultural Science and Food Technology, 5: 58-63.
Go to original source...
- Evamoni F.Z., Nulit R., Yap C.K., Ibrahim M.H., Sidek N.B. (2023): Assessment of germination performance and early seedling growth of Malaysian indica rice genotypes under drought conditions for strategic cropping during water scarcity. Chilean Journal of Agricultural Research, 83: 281-292.
Go to original source...
- Evanno G., Sebastien R., Jerome G. (2005): Detecting the number of clusters of individuals using the software STRUCTURE: A simulation study. Molecular Ecology, 14: 2611-2620.
Go to original source...
Go to PubMed...
- FAO (2022): Faostat Food and Agriculture Organization Statistical Databases. Available on https://www.fao.org/faostat/en/data/QCL
- Farooq S., Onen H., Ozaslan C., Baskin C.C., Gunal H. (2019): Seed germination niche for common ragweed (Ambrosia artemisiifolia L.) populations naturalized in Turkey. South African Journal of Botany, 123: 361-371.
Go to original source...
- Fatimah S., Amzeri A., Syafii M., Purwaningsih Y. (2023): Screening of red rice (Oryza sativa L.) landraces for drought tolerance at early stages using PEG 6000. AGRIVITA, Journal of Agricultural Science, 45: 199-208.
Go to original source...
- Gaballah M.M., Fiaz S., Wang X., Younas A., Khan S.A., Wattoo F.M., Shafiq M.R. (2021): Identification of genetic diversity among some promising lines of rice under drought stress using SSR markers. Journal of Taibah University for Science, 15: 468-478.
Go to original source...
- Garcia A.A., Benchimol L.L., Barbosa A.M., Geraldi I.O., Souza Jr C.L., Souza A.P. (2004): Comparison of RAPD, RFLP, AFLP and SSR markers for diversity studies in tropical maize inbred lines. Genetics and Molecular Biology, 27: 579-588.
Go to original source...
- Garris A.J., Tai T.H., Coburn J., Kresovich S., McCouch S. (2005): Genetic structure and diversity in Oryza sativa L. Genetics, 169: 1631-1638.
Go to original source...
Go to PubMed...
- Ghafoor A., Arshad M. (2008): Multivariate analyses for quantitative traits to determine genetic diversity of blackgram Vigna mungo (L.) Hepper germplasm. Pakistan Journal of Botany, 40: 2307-2313.
- Gholami A., Sharafi S., Sharafi A., Ghasemi S. (2009): Germination of different seed size of pinto bean cultivars as affected by salinity and drought stress. Journal of Food, Agriculture & Environment, 7: 555-558.
- Gupta P.C. (1993): Seed vigour testing. In: Agrawal P.K. (ed.): Handbook of Seed Testing. New Delhi, Ministry of Agriculture: 242-249.
- Hafiz S.B., Jehanzeb F., Bibi T., Tariq M. (2015): Cluster and principle component analyses of maize accessions under normal and water stress conditions. Journal of Agricultural Sciences (Belgrade), 60: 33-48.
Go to original source...
- Huang Z., Yu T., Su L., Yu S.B., Zhang Z.H., Zhu Y.G. (2004): Identification of chromosome regions associated with seedling vigor in rice. Yi Chuan Xue Bao, 31: 596-603.
- Hussain H. A., Hussain S., Khaliq A., Ashraf U., Anjum S.A., Men S., Wang L. (2018): Chilling and drought stresses in crop plants: implications, cross talk, and potential management opportunities. Frontiers in Plant Science, 9: 393.
Go to original source...
Go to PubMed...
- Islam M.M., Kayesh E., Zaman E., Urmi T.A., Haque M.M. (2018): Evaluation of rice (Oryza sativa L.) genotypes for drought tolerance at germination and early seedling stage.The Agriculturists, 16: 44-54.
Go to original source...
- Islam M.A., Alam M.S., Maniruzzaman M., Haque M.S. (2023): Microsatellite marker-based genetic diversity assessment among exotic and native maize inbred lines of Bangladesh. Saudi Journal of Biological Sciences, 30: 103715.
Go to original source...
Go to PubMed...
- Jin L., Lu Y., Xiao P., Sun M., Corke H., Bao J. (2010): Genetic diversity and population structure of a diverse set of rice germplasm for association mapping. Theoretical and Applied Genetics, 121: 475-487.
Go to original source...
Go to PubMed...
- Jolliffe I.T., Cadima J. (2016): Principal component analysis: A review and recent developments. Philosophical Transactions of the Royal Society A, 374: 20150202.
Go to original source...
Go to PubMed...
- Kanawapee N., Sanitchon J., Srihaban P., Theerakulpisut P. (2011): Genetic diversity analysis of rice cultivars (Oryza sativa L.) differing in salinity tolerance based on RAPD and SSR markers. Electronic Journal of Biotechnology, 14: 2.
Go to original source...
- Kasanaboina K., Chandra M.Y., Krishna L., Parimala G., Jagadeeshwar R. (2022): Multivariate analysis based prediction of phenotypic diversity associated with yield and yield component traits in germplasm lines of rice (Oryza sativa L.). Electronic Journal of Plant Breeding, 13: 764-771.
Go to original source...
- Kaufmann M.R., Eckard A.N. (1971): Evaluation of water stress control with polyethylene glycols by analysis of guttation. Plant Physiology, 47: 453-456.
Go to original source...
Go to PubMed...
- Kotla A., Agarwal S., Yadavalli V.R., Vinukonda V.P., Chakravarthi Dhavala V.N., Neelamraju S. (2013): Quantitative trait loci and candidate genes for yield and related traits in Madhukar × Swarna RIL population of rice. Journal of Crop Science and Biotechnology, 16: 35-44.
Go to original source...
- Kumbhar S.D., Kulwal P.L., Patil J.V., Sarawate C.D., Gaikwad A.P., Jadhav A.S. (2015): Genetic diversity and population structure in landraces and improved rice varieties from India. Rice Science, 22: 99-107.
Go to original source...
- Lewontin R.C. (1972): The apportionment of human diversity. In: Dobzhansky T., Hecht M.K., Steere W.C. (eds.): Evolutionary Biology. Springer, New York.
Go to original source...
- Lipiec J., Doussan C., Nosalewicz A., Kondracka K. (2013): Effect of drought and heat stresses on plant growth and yield: A review. International Agrophysics, 27: 463-477.
Go to original source...
- Lou Q., Chen L., Sun Z., Xing Y., Li J., Xu X., Mei H., Luo L. (2007): A major QTL associated with cold tolerance at seedling stage in rice (Oryza sativa L.). Euphytica, 158: 87-94.
Go to original source...
- Ma H., Yin Y., Guo Z., Chen L., Zhang L., Zhong M., Shao G. (2011): Establishment of DNA fingerprinting of Liaojing series of Japonica rice. Middle East Journal of Scientific Research, 8: 384-392.
- Mahender A., Anandan A., Pradhan S.K. (2015): Early seedling vigour, an imperative trait for direct-seeded rice: An overview on physio-morphological parameters and molecular markers. Planta, 241: 1027-1050.
Go to original source...
Go to PubMed...
- Mahpara S., Zainab A., Ullah R., Kausar S., Bilal M., Latif M.I., Arif M., Akhtar I., Al-Hashimi A., Elshikh M.S., Zivcak M. (2022): The impact of PEG-induced drought stress on seed germination and seedling growth of different bread wheat (Triticum aestivum L.) genotypes. PLoS ONE, 17: e0262937.
Go to original source...
Go to PubMed...
- Mas-ud M.A., Matin M.N., Fatamatuzzohora M., Ahamed M.S., Chowdhury M.R., Paul S.K., Hossain M.S. (2022): Screening for drought tolerance and diversity analysis of Bangladeshi rice germplasms using morphophysiology and molecular markers. Biologia, 77: 21-37.
Go to original source...
- McCouch S.R., Teytelman L., Xu Y., Lobos K.B., 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.). DNA Research, 9: 199-207.
Go to original source...
Go to PubMed...
- Mohanty S., Donde R., Das S., Panda D., Mishra B., Pradhan S.K., Behera L. (2021): Utilization of genetic diversity and population structure to reveal prospective drought-tolerant donors in rice. Gene Reports, 23: 101151.
Go to original source...
- Nachimuthu V.V., Muthurajan R., Duraialaguraja S., Sivakami R., Pandian B.A., Ponniah G., Gunasekaran K., Swaminathan M., Suji K.K., Sabariappan R. (2015): Analysis of population structure and genetic diversity in rice germplasm using SSR markers: An initiative towards association mapping of agronomic traits in Oryza sativa. Rice, 8: 1-25.
Go to original source...
Go to PubMed...
- Ni Z.F., Zhang Y.R., Liang R.Q., Liu G.T., Sun Q.X. (2002): Genetic diversity of D-genome revealed by SSR markers in synthesized hexaploid wheat Introduced from CIMMYT. Yi Chuan Xue Bao, 29: 542-548.
- Noryan M., Hervan I.M., Sabouri H., Kojouri F.D., Mastinu A. (2021): Drought resistance loci in recombinant lines of Iranian Oryza sativa L. in germination stage. BioTech, 10: 26.
Go to original source...
Go to PubMed...
- Panda D., Mishra S.S., Mohanty S.K., Behera P.K., Lenka S.K. (2019): Data on genetic potentiality of folk rice (Oryza sativa L.) genotypes from Koraput, India in reference to drought tolerance traits. Data in Brief, 25: 104363.
Go to original source...
Go to PubMed...
- Pandey P., Irulappan V., Bagavathiannan M.V., Senthil Kumar M. (2017): Impact of combined abiotic and biotic stresses on plant growth and avenues for crop improvement by exploiting physio-morphological traits. Frontiers in Plant Science, 8: 537.
Go to original source...
Go to PubMed...
- Pascual L., Ruiz M., Lopez-Fernandez M., Perez-Pena H., Benavente E., Vazquez J.F., Sansaloni C., Giraldo P. (2020): Genomic analysis of Spanish wheat landraces reveals their variability and potential for breeding. BMC Genomics, 21: 1-7.
Go to original source...
Go to PubMed...
- Pepe M., Crescente M.F., Varone L. (2022): Effect of water stress on physiological and morphological leaf traits: A comparison among the three widely-spread invasive alien species Ailanthus altissima, Phytolacca americana, and Robinia pseudoacacia. Plants, 11: 899.
Go to original source...
Go to PubMed...
- Ponsiva S.T., Sabarinathan S., Senthilkumar N., Thanga-vel P., Manivannan K., Thirugnanakumar S. (2019): Principal components analysis in rice genotypes grown over seasons. Plant Archives, 19: 3118-3120.
- Powell W., Thomas W.T., Baird E., Lawrence P., Booth A., Harrower B., McNicol J.W., Waugh R. (1997): Analysis of quantitative traits in barley by the use of amplified fragment length polymorphisms. Heredity, 79: 48-59.
Go to original source...
- Pradhan S.K., Barik S.R., Sahoo A., Mohapatra S., Nayak D.K., Mahender A., Meher J., Anandan A., Pandit E. (2016): Population structure, genetic diversity and molecular marker-trait association analysis for high-temperature stress tolerance in rice. PLoS ONE, 11: e0160027.
Go to original source...
Go to PubMed...
- Pritchard J.K., Stephens M., Rosenberg N.A., Donnelly P. (2000): Association mapping in structured populations. The American Journal of Human Genetics, 67: 170-181.
Go to original source...
Go to PubMed...
- Priya S.J., Vincent S., Joel A.J., Sritharan N. (2022): Screening root traits of rice landraces seedlings (Oryza sativa L.) under induced drought stress using hydroponic system. International Journal of Plant and Soil Science, 34: 582-591.
Go to original source...
- Ramchander S., Raveendran M., Robin S. (2016): Mapping QTLs for physiological traits associated with drought tolerance in rice (Oryza sativa L.). Journal of Investigative Genomics, 3: 00052.
Go to original source...
- Rauf M., Munir M., Ul Hassan M., Ahmad M., Afzal M. (2007): Performance of wheat genotypes under osmotic stress at germination and early seedling growth stage. African Journal of Biotechnology, 6: 971-975.
- Rejeth R., Manikanta C.L., Beena R., Stephen R., Manju R.V., Viji M.M. (2020): Water stress mediated root trait dynamics and identification of microsatellite markers associated with root traits in rice (Oryza sativa L.). Physiology and Molecular Biology of Plants, 26: 1225-1236.
Go to original source...
Go to PubMed...
- Renuprasath P., Boominathan P., Suresh R. (2023): Marker assisted pyramiding of qDTY QTLs governing yield under drought stress into rice variety ADT (R) 45. Electronic Journal of Plant Breeding, 14: 60-68.
Go to original source...
- Roy P.S., Samal R., Rao G.J., Patnaik S.S., Jambhulkar N.N., Patnaik A., Mohapatra T. (2016): Differentiation and description of aromatic short grain rice landraces of the eastern Indian state of Odisha based on qualitative phenotypic descriptors. BMC Ecology, 16: 1-4.
Go to original source...
Go to PubMed...
- Sajib A.M., Hossain M.M., Mosnaz A.T., Hossain H., Islam M.M., Ali M.S., Prodhan S.H. (2012): SSR marker-based molecular characterization and genetic diversity analysis of aromatic landraces of rice (Oryza sativa L.). Journal of BioScience & Biotechnology, 1: 107-116.
- Sakina A., Sofi N.R., Shikari A.B., Mir R.R., Bhat M.A., Waza S.A., Jan S., Rafiqee S., Khan G.H., Wani S.H. (2022): DNA marker-based diversity across rice genotypes and advanced breeding lines bred for temperate regions of North-West India. Molecular Biology Reports, 49: 7145-7155.
Go to original source...
Go to PubMed...
- Salam S.A., Sindhumole P., Waghmare S.G., Sajini S. (2017): Molecular characterization of rice (Oryza sativa L.) genotypes for drought tolerance using two SSR markers. Electronic Journal of Plant Breeding, 8: 474-479.
Go to original source...
- Salem K.F., Sallam A. (2016): Analysis of population structure and genetic diversity of Egyptian and exotic rice (Oryza sativa L.) genotypes. Comptes Rendus Biologies, 339: 1-9.
Go to original source...
Go to PubMed...
- Sanghamitra P., Nanda N., Barik S.R., Sahoo S., Pandit E., Bastia R., Pradhan S.K. (2021): Genetic structure and molecular markers-trait association for physiological traits related to seed vigour in rice. Plant Gene, 28: 100338.
Go to original source...
- Serrote C.M., Reiniger L.R., Silva K.B., Rabaiolli S.M., Stefanel C.M. (2020): Determining the polymorphism information content of a molecular marker. Gene, 726: 144175.
Go to original source...
Go to PubMed...
- Sheoran S., Kaur Y., Kumar S., Shukla S., Rakshit S., Kumar R. (2022): Recent advances for drought stress tolerance in maize (Zea mays L.): Present status and future prospects. Frontiers in Plant Science, 13: 872566.
Go to original source...
Go to PubMed...
- Singh M., Singh S.K., Vennela P.R., Singh D.K., Kumar D. (2017): Genetic divergence studies for drought tolerance in rice (Oryza sativa L.) using morphological traits and molecular markers. ORYZA - An International Journal on Rice, 54: 385-391.
Go to original source...
- Singh N., Choudhury D.R., Tiwari G., Singh A.K., Kumar S., Srinivasan K., Tyagi R.K., Sharma A.D., Singh N.K., Singh R. (2016): Genetic diversity trend in Indian rice varieties: an analysis using SSR markers. BMC Genetics, 17: 1-3.
Go to original source...
Go to PubMed...
- Singh S., Pradhan S.K., Singh A.K., Singh O.N. (2012): Marker validation in recombinant inbred lines and random varieties of rice for drought tolerance. Australian Journal of Crop Science, 6: 606.
- Sobahan M.A., Akter N., Rana M.M. (2022): Polyethylene glycol mediated drought stress impacts on germination, growth and accumulation of proline in rice (Oryza sativa L.). SAARC Journal of Agriculture, 20: 107-119.
Go to original source...
- Sokoto M.B., Muhammad A. (2014): Response of rice varieties to water stress in Sokoto, Sudan Savannah, Nigeria. Journal of Bioscience Medicine, 2: 68-74.
Go to original source...
- Song Z.P., Xu X., Wang B., Chen J.K., Lu B.R. (2003): Genetic diversity in the northernmost Oryza rufipogon populations estimated by SSR markers. Theoretical and Applied Genetics, 107: 1492-1999.
Go to original source...
Go to PubMed...
- Srividhya A., Vemireddy L.R., Sridhar S., Jayaprada M., Ramanarao P.V., Hariprasad A.S., Siddiq E. (2011): Molecular mapping of QTLs for yield and its components under two water supply conditions in rice (Oryza sativa L.). Journal of Crop Science and Biotechnology, 14: 45-56.
Go to original source...
- Subashri M., Robin S., Vinod K.K., Rajeswari S., Mohanasundaram K., Raveendran T.S. (2009): Trait identification and QTL validation for reproductive stage drought resistance in rice using selective genotyping of near flowering RILs. Euphytica, 166: 291-305.
Go to original source...
- Tabkhkar N., Rabiei B., Samizadeh Lahiji H., Hosseini Chaleshtori M. (2018): Genetic variation and association analysis of the SSR markers linked to the major drought-yield QTLs of rice. Biochemical Genetics, 56: 356-374.
Go to original source...
Go to PubMed...
- Vaissie P., Monge A., Husson F. (2021): Factoshiny: Perform factorial analysis from FactoMineR with a shiny application. R package version, 2(4). Available on http://factominer.free.fr/graphs/factoshiny.html
- Venuprasad R., Dalid C.O., Del Valle M., Zhao D., Espiritu M., Sta Cruz M.T., Atlin G.N. (2009): Identification and characterization of large-effect quantitative trait loci for grain yield under lowland drought stress in rice using bulk-segregant analysis. Theoretical and Applied Genetics, 120: 177-190.
Go to original source...
Go to PubMed...
- Vinod K.K., Krishnan S.G., Thribhuvan R., Singh A.K. (2019): Genetics of drought tolerance, mapping QTLs, candidate genes and their utilization in rice improvement. In: Rajpal V.R., Sehgal D., Kumar A., Raina S.N. (eds.): Genomics Assisted Breeding of Crops for Abiotic Stress Tolerance. Vol. II, Springer: 145-186.
Go to original source...
- Wang J.X., Sun J., Li C.X., Liu H.L., Wang J.G., Zhao H.W., Zou D.T. (2016): Genetic dissection of the developmental behavior of plant height in rice under different water supply conditions. Journal of Integrative Agriculture, 15: 2688-2702.
Go to original source...
- Wang Z.F., Wang J.F., Bao Y.M., Wang F.H., Zhang H.S. (2010): Quantitative trait loci analysis for rice seed vigor during the germination stage. Journal of Zhejiang University Science B, 11: 958-964.
Go to original source...
Go to PubMed...
- Yang G., Yang Y., Guan Y., Xu Z., Wang J., Yun Y., Yan X., Tang Q. (2021): Genetic diversity of shanlan upland rice (Oryza sativa L.) and association analysis of SSR markers linked to agronomic traits. BioMed Research International, 2021: 7588652.
Go to original source...
Go to PubMed...
- Zhang S.B., Zhu Z., Zhao L., Zhang Y.D., Chen T., Lin J., Wang C.L. (2007): Identification of SSR markers closely linked to eui gene in rice. Yi Chuan, 29: 365-370.
Go to original source...
Go to PubMed...
- Zhou H.F., Xie Z.W., Ge S. (2003): Microsatellite analysis of genetic diversity and population genetic structure of a wild rice (Oryza rufipogon Griff.) in China. Theoretical and Applied Genetics, 107: 332-339.
Go to original source...
Go to PubMed...
- Zhu R., Wu F., Zhou S., Hu T., Huang J., Gao Y. (2020): Cumulative effects of drought - flood abrupt alternation on the photosynthetic characteristics of rice. Environmental and Experimental Botany, 169: 103901.
Go to original source...
- Zubarer M.A., Chowdhury A.K.M.M.B., Islam M.Z., Ahmed., Hasan M.A. (2007): Effects of water stress on growth and yield attributes of Aman rice genotypes. International Journal of Sustainable Crop Production, 2: 25-30.
This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.