[CHASE, M.W. – COWAN, R.S. – HOLLINGSWORTH, P.M. – VAN DEN BERG, C. – MADRIÑÁN, S. – PETERSEN, G. – SEBERG, O. – JØRGSENSEN, T. – CAMERON, K.M. – CARINE, M. – PEDERSEN, N. et al. 2007. A proposal for a standardised protocol to barcode all land plants. In Taxon, vol. 56, pp. 295 – 299.]Search in Google Scholar
[DAVIS, J.I. – SORENG, R.J. 1993. Phylogenetic structure in the grass family (Poaceae) as inferred from chloroplast DNA restriction site variation. In American Journal of Botany, vol. 80, pp. 1444 – 1454.]Search in Google Scholar
[FERMANIAN, T.W. – MICHALSKI, R.S. 1989. Weeder – an advisory system for the identification of grasses in turf. In Agronomy Journal, vol. 81, pp. 312 – 316.]Search in Google Scholar
[FORD, C.S. – AYRES, K.L. – TOOMEY, N. – HAIDER, N. – VAN ALPEN STAHL, J. – KELLY, L. – WILSTÖM, N. – HOLLINGSWORTH, P. – DUFF, R.J. – HOOT, S.B. – COWAN, R.S. – CHASE, M.W. – WILKINSON, M.J. 2009. Selection of candidate DNA barcoding regions for use on land plants. In Botanical Journal of the Linnean Society, vol. 159, pp. 1 – 11.]Search in Google Scholar
[HAIDER, N. 2011. Identification of plant species using traditional and molecular-based methods. In DAVIS, R.E. (Ed.). Wild Plants: Identification, Uses and Conservation. Nova Science Publishers, Inc, pp. 1 – 62.]Search in Google Scholar
[HAIDER, N. 2015. Evaluation of pyrosequencing for large-scale identification of plant species (grasses as a model). In Turkish Journal of Agriculture and Forestry, vol. 39, pp. 730 – 741.]Search in Google Scholar
[HAIDER, N. 2016. Evaluation of the utility of chloroplast petB&D and trnK intron in DNA barcoding of plant species (British native grasses as a model). In DANIELS, J.A. (Ed.). Advances in Environmental Research. Vol. 48, Nova Science Publishers, pp. 121 – 144.]Search in Google Scholar
[HAIDER, N. – NABULSI, I. 2008. Identification of Aegilops L. species and Triticum aestivum L. based on chloroplast DNA. In Genetic Resources and Crop Evolution, vol. 55, pp. 537 – 549.]Search in Google Scholar
[HAIDER, N. – NABULSI, I. – KAMARY, Y. 2010. Identification of Orchidaceae species of Northern West of Syria based on chloroplast DNA. In Russian Journal of Genetics, vol. 46, pp. 1067 – 1078.]Search in Google Scholar
[HAIDER, N. – NABULSI, I. – MIRALI, N. 2012. Identification of species of Vicia subgenus Vicia (Fabaceae) using chloroplast DNA data. In Turkish Journal of Agriculture and Forestry, vol. 36, pp. 297 – 308.]Search in Google Scholar
[HEBERT, P.D.N. – CYWINSKA, A. – BALL, S.L. – DEWAARD, J.R. 2003. Biological identifications through DNA barcodes. In Proceedings of the Royal Society B: Biological Sciences, vol. 270, pp. 313 – 22.]Search in Google Scholar
[HEBERT, P.D.N. – STOECKLE, M.Y. – ZEMLAK, T.S. – FRANCIS, C.M. 2004. Identification of birds through DNA barcodes. In PLoS Biology, vol. 2, pp. 1657 – 63.]Search in Google Scholar
[HOLLINGSWORTH, P.M. – GRAHAM, S.W. – LITTLE, D.P. 2011. Choosing and using a plant DNA barcode. In PLoS One, vol. 6, e19254.]Search in Google Scholar
[JUDD, W.S. – KELLOGG, E.A. – STEVENS, P.F. – DONOGHUE, M.J. 2008. Plant Systematics: a Phylogenetic Approach. (3rd Ed). Sunderland, MA, USA: Sinauer Associates, pp. 565.]Search in Google Scholar
[KELLOGG, E.A. – CAMPBELL, C.S. 1987. Phylogenetic analyses of the Gramineae. In SODERSTROM, T.R. – HILU, K.W. – CAMPBELL, C.S. – BARKWORTH, M.E. (Eds.). Grass Systematics and Evolution: an International Symposium Held at the Smithsonian Institution. Washington, DC: Smithsonian Institution Press, pp. 310 – 322.]Search in Google Scholar
[KHAN, S.A. – BAESHEN, M.N. – RAMADAN, H.A. – BAESHEN, N.A. – MEDICINE, P. 2019. ITS2: An ideal DNA barcode for the arid medicinal plant Rhazya Stricta. In Pharmaceutical medicine, vol. 33, pp. 53 – 61.]Search in Google Scholar
[KIM, S. – LEE, J. – BAEK, S. – AHN, J. – HONG, K. 2018. Identification of DNA molecular markers by comparison of Pinus densiflora and Pinus sylvestris chloroplast genomes. In Peer Journal (preprints), vol. 6, e26506v1.]Search in Google Scholar
[KIM, S. – PARK, T.H. 2019. PCR-based markers developed by comparison of complete chloroplast genome sequences discriminate Solanum chacoense from other Solanum species. In Journal of Plant Biotechnology, vol. 46, pp. 79 – 87.]Search in Google Scholar
[KRESS, J.W. – WURDACK, K.J. – ZIMMER, E.A. – WEIGT, L.A. – JANZEN, D.H. 2005. Use of DNA barcodes to identify flowering plants. In Proceedings of the National Academy of Sciences of the United States of America, vol. 102, pp. 8369 – 8374.]Search in Google Scholar
[KRISHNAN, S. – SAMSON, N.P. – RAVICHANDRAN, P. – NARASIMHAN, D. – DAYANANDAN, P. 2000. Phyto-liths of Indian grasses and their potential use in identification. In Botanical Journal of the Linnean Society, vol. 132, pp. 241 – 252.]Search in Google Scholar
[LEDFORD, H. 2008. Botanical identities: DNA barcoding for plants comes a step closer. In Nature, vol. 451, pp. 616.]Search in Google Scholar
[LORENZ, J.G. – JACKSON, W.E. – BECK, J.C. – HANNER, R. 2005. The problems and promise of DNA barcodes for species diagnosis of primate biomaterials. In Proceedings of the Royal Society B: Biological Sciences, vol. 360, pp. 1869 – 77.]Search in Google Scholar
[LUCAS, C. – THANGARADJOU, T. – PAPENBROCK, J. 2012. Development of a DNA barcoding system for sea-grasses: successful but not simple. In PLoS One, vol. 7, e29987.]Search in Google Scholar
[MINAROVIČ, T. – TRAKOVICK, A. – RAFAYOV, A. – LIESKOVSK, Z. 2010. Animal species identification by PCR-RFLP of cytochrome b. In Animal Science and Biotechnologies, vol. 43, pp. 296 – 299.]Search in Google Scholar
[NELSON, L.A. – WALLMAN, J.F. – DOWTON, M. 2007. Using COI barcodes to identify forensically and medically important blowflies. In Medical and Veterinary Entomology, vol. 21, pp. 44 – 52.]Search in Google Scholar
[PARANI, M. – RAJESH, K. – LAKSHMI, M. – PARDUCCI, L. – SZMIDT, A.E. – PARIDA, A. 2001. Species identification in seven small millet species using Polymerase Chain Reaction-Restriction Fragment Length Polymorphism of trnS-psbC gene region. In Genome, vol. 44, pp. 495 – 499.10.1139/g01-02311444709]Search in Google Scholar
[PENNISI, E. 2007. Wanted: A barcode for plants. In Science, vol. 318, no. 5848, pp. 190 – 191. https://doi.org/10.1126/science.318.5848.190.10.1126/science.318.5848.19017932267]Search in Google Scholar
[RIDGWAY, K.P. – DUCK, J.M. – YOUNG, J.P.W. 2003. Identification of roots from grass swards using PCRRFLP and FFLP of the plastid trnL (UAA) intron. In BMC Ecology, vol. 3, pp. 8.]Search in Google Scholar
[SAADULLAH – KHAN, Z.U.D. – ASHFAQ, M. – ZAIB-UNISA. 2016. Identification of the grass family (Poaceae) by using the plant DNA barcodes rbcL and matK. In Journal of Biodiversity and Environmental Sciences, vol. 8, pp. 175 – 186.]Search in Google Scholar
[SAKKA, H. – BARAKETA, G. – ABDESSEMAD, A. – TOUNSI, K. – KSONTINI, M. – SALHI-HANNACHI, A. 2015. Molecular phylogeny and genetic diversity of Tunisian Quercus species using chloroplast DNA CAPS markers. In Biochemical Systematics and Ecology, vol. 60, pp. 258 – 265.]Search in Google Scholar
[SHAVRUKOV, Y.N. 2016. CAPS Markers in Plant Biology. In Russian Journal of Genetics, vol. 6, pp. 279 – 287.]Search in Google Scholar
[STACE, C.A. 1997. New flora of the British Isles. (2nd ed), Cambridge: Cambridge University.]Search in Google Scholar
[STEBBINS, G.L. 1956. Cytogenetics and evolution of the grass family. In American Journal of Botany, vol. 43, pp. 890 – 905.]Search in Google Scholar
[SORENG, R.J. – PETERSON, P.M. – ROMSCHENKO, K. – DAVIDSE, G. – ZULOAGA, F.O. – JUDZIEWICZ, E.J. – FILGUEIRAS, T.S. – DAVIS, J.I. – MORRONE, O. 2015. A worldwide phylogenetic classification of the Poaceae (Graminae). In Journal of Systematics and Evolution, vol. 53, pp. 117 – 137.]Search in Google Scholar
[TAHIR, A. – HUSSAIN, F. – AHMED, N. – GHORBANI, A. – JAMIL, A. 2018. Assessing universality of DNA barcoding in geographically isolated selected desert medicinal species of Fabaceae and Poaceae. In Peer Journal, vol. 6, e4499. DOI 10.7717/peerj.4499.]Search in Google Scholar
[TSIATIS, A.C. – NORRIS-KIRBY, A. – RICH, R.G. – HAFEZ, M.J. – GOCKE, C.D. – ESHLEMAN, J.R. – MURPHY, K.M. 2010. Comparison of sanger sequencing, pyrosequencing, and melting curve analysis for the detection of KRAS mutations. In The Journal of Molecular Diagnostics, vol. 12, pp. 425 – 432.]Search in Google Scholar
[VEGETTI, A. – ANTON, A.M. 1995. Some evolution trends in the inflorescence of Poaceae. In Flora, vol. 190, pp. 225 – 228.]Search in Google Scholar
[VENCES, M. – THOMAS, M. – BONETT, R.M. – VIEITES, D.R. 2005. Deciphering amphibian diversity through DNA barcoding: chances and challenges. In Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 360, pp. 1859 – 68.]Search in Google Scholar
[WANG, A. – GOPURENKO, D. – WU, H. – LEPSCHI, B.J. 2014. DNA barcoding for identification of exotic grass species present in eastern Australia. In BAKER, M. (Ed.). Proceedings of the 19th Australasian Weed Conference (2014): Science, Community and Food Security: the Weed Challenge. Tasmania, Australia, pp. 444 − 447. ISBN (e) 9780646924540.]Search in Google Scholar
[WAGNER, H. – ULRICH-MERZENICH, G. 2013. Evidence and Rational Based Research on Chinese Drugs. Wien : Springer-Verlag, pp. 525. DOI:10.1007/978-3-7091-0442-2.10.1007/978-3-7091-0442-2]Search in Google Scholar
[WARD, R.D. – ZEMLAK, T.S. – INNES, B.H. – LAST, P.R. – HEBERT, P.D.N. 2005. DNA barcoding Australia’s fish species. In Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 360, pp. 1847 – 57.]Search in Google Scholar
[WHITE, R.P. – MURRAY, S. – ROHWEDER, M. 2000. Pilot Analysis of Global Ecosystems: Grassland Ecosystems. Washington DC, USA: World Resources Institute, pp. 11 – 29.]Search in Google Scholar
[WYNN, E.L. – CHRISTENSEN, A.C. 2019. Repeats of unusual size in plant mitochondrial genomes: identification, incidence and evolution. In G3: Genes, Genomes, Genetics, vol. 9, pp. 549 – 559.]Search in Google Scholar