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Characterization of Indian clusterbean (Cyamopsis tetragonoloba (L.) Taub.) genotypes using qualitative morphological traits

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Abstract

Clusterbean (Cyamopsis tetragonoloba (L.) Taub.) is commonly known as guar, a legume with drought hardiness suited to arid regions remained a neglected and underutilized crop till the shale rush began, of late it got momentum in the international market, and it became one of the most promising industrial crops in India. Seeds of clusterbean are used for extraction of gum which is called guar gum or guaran. Guar gum—a galactomannan polysaccharide—has many uses such as in the oil and petroleum industries (shale energy production or oil fracking), food industries, pharmaceutical industries, paper industries and mining fields. India is the major producer and exporter of guar to the world market. There is a tremendous variability available in Indian clusterbean germplasm, our objective of the present study to characterize and evaluate the Indian clusterbean genotypes using morphological qualitative traits. Forty-two genotypes collected across India were characterized for seven morphological traits: stem type, growth habit, leaflet texture, leaflet margin, leaflet size, flower colour and seed colour across three locations during kharif (rainy season) 2013. Coefficients of variation and principal component analysis revealed variability among the genotypes for the qualitative traits evaluated. PCA analysis showed that genotypes namely PNB, T local, HGS 884, RGC 471, MRSG6 were very different from each other. Cluster analysis separated genotypes into two major groups: one of vegetable genotypes (PNB, T local, M local, HVG2-30 and Amrit 11), and the other of gum genotypes. Among the gum genotypes RGC1066, RGC197 and FS277 formed a distinct sub cluster as they possess single stems (unbranched type), while the genotypes with white flower colour namely RGC936 and RGC471 formed a different sub cluster. The genotype MRSG6 showed brown seed with distinct grade of N 200 B which was distinctly unique and differed from the predominant grey-seeded group Correlation analysis among the traits showed that leaflet texture (pubescence) and leaflet shape (narrow) correlated highly with gum genotypes, on the contrary glabrous broad leaflets were linked with vegetable genotypes.

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References

  • APEDA (2014) http://www.apeda.gov.in/apedawebsite/SubHead_Products/Guargum.htm

  • Department of Agriculture and Cooperation, MoA, GoI (2014). http://agricoop.nic.in

  • Emami MK, Sharma B (1999) Linkage between three morphological markers in lentil (Lens culinaris Medik.). Plant Breed 118:579–581

    Article  Google Scholar 

  • Fletcher R, Murphy H (1998) The new rural industries: a handbook for farmers and investors. Canberra, Australia, pp 343–346

    Google Scholar 

  • Hammer O, Harper DAT, Ryan PD (2001) PAST: paleontological statistics software package for education and data analysis. Palaeontol Electr 4:1–9

    Google Scholar 

  • Hymowitz T (1965) Studies on guar (Cyamopsis tetragonoloba (L.) Taub.). Plant breeding abstracts 36:365

  • Kruskal JB (1978) Factor analysis and principal component analysis: bilinear methods. In: Kruskal WH, Tannur JM (eds) International encyclopedia of statistics. The Free Press, New York, pp 307–330

    Google Scholar 

  • Kumar S, Joshi UN, Singh V, Singh JV, Saini ML (2013) Characterization of released and elite genotypes of guar (Cyamopsis tetragonoloba (L.) Taub.) from India proves unrelated to geographical origin. Genet Resour Crop Evol. doi:10.1007/s10722-013-9970-7

    Google Scholar 

  • McCormick KM, Norton RM, Eagles HA (2009) Phenotypic variation within a fenugreek (Trigonella foenum-graecum L.) germplasm collection. II. Cultivar selection based on traits associated with seed yield. Genet Resour Crop Evol 56:651–661

    Article  Google Scholar 

  • Morris JB (2007) Swordbean (Canavalia ensiformis (L.) DC.) genetic resources regenerated for potential medical, nutraceutical and agricultural traits. Genet Resour Crop Evol 54:585–592

    Article  Google Scholar 

  • Morris JB (2008) Macrotyloma axillare and M. uniflorum: descriptor analysis, anthocyanin indexes, and potential uses. Genet Resour Crop Evol 55:5–8

    Article  Google Scholar 

  • Morris JB (2009) Characterization of butterfly pea (Clitoria ternatea L.) accessions for morphology, phenology, reproduction and potential nutraceutical, pharmaceutical trait utilization. Genet Resour Crop Evol 56:421–427

    Article  Google Scholar 

  • Morris JB (2010) Morphological and reproductive characterization of guar (Cyamopsis tetragonoloba) genetic resources regenerated in Georgia, USA. Genet Resour Crop Evol 57:985–993

    Article  Google Scholar 

  • NIAM (2014) An Analysis of Guar Crop in India - A study report. Jaipur, CCS NIAM, p 9

    Google Scholar 

  • Paroda RS, Saini ML (1978) Guar breeding. In: Paroda RS, Arora RN (eds) Guar: its improvement and management. Forage Res 4:9–39

  • Pearson K (1901) On lines and planes of closest fit to systems of points in space. Philos Mag A 6:559–572

    Article  Google Scholar 

  • Purseglove JW (1981) Leguminosae. Tropical crops: Dicotyledons. Longman Group Ltd., Essex, pp 250–254

    Google Scholar 

  • Rosso BS, Pagano EM (2001) Collection and characterization of naturalized populations of white clover (Trifolium repens L.) in Argentina. Genet Resour Crop Evol 48:513–517

    Article  Google Scholar 

  • Rubio J, Cubero JI, Martin LM, Suso MJ, Flores F (2004) Biplot analysis of trait relations of white lupin in Spain. Euphytica 135:217–224

    Article  Google Scholar 

  • Rumbaugh MD, Graves WL, Caddel JL, Mohammad RM (1988) Variability in a collection of alfalfa germplasm from Morocco. Crop Sci 28:605–609

    Article  Google Scholar 

  • Shannon CE, Weaver W (1949) The mathematical theory of communication. Univ. of Illinois Press, Urbana

    Google Scholar 

  • Sivakumar (2002) Characterization of cluster bean cultivars using laboratory techniques and field parameters. M.Sc. thesis, Haryana Agricultural University, Hisar

  • Sultan M, Rabbani MA, Shinwari ZK, Masood MS (2012) Phenotypic divergence in guar (Cyamopsis tetragonoloba L.) landrace genotypes of Pakistan. Pak J Bot 44:203–210

    Google Scholar 

  • Tanksley SD (1983) Molecular markers in plant breeding. Plant Mol Biol Rep 1:3–8

    Article  CAS  Google Scholar 

  • Ward JH (1963) Hierarchical grouping to optimize an objective function. J Am Stat Assoc 58:236–244

    Article  Google Scholar 

  • Zada M, Zakir N, Rabbani MA, Shinwari ZA (2013) Assessment of genetic variation in Ethiopian mustard (Brassica carinata A. Braun) germplasm using multivariate techniques. Pak J Bot 45(S1):583–593

    Google Scholar 

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Acknowledgments

The work presented in this paper is a part of the PhD work carried out by A. Manivannan at the Department of Plant Breeding and Genetics, Agricultural College and Research Institute, Madurai, Tamil Nadu, India. The support provided by Indian Council of Agricultural Research (ICAR) by awarding an ICAR-Senior Research Fellowship (ICAR-SRF) and also granting study leave to him and extending facilities at ICAR-Indian Institute of Maize Research, New Delhi, is gratefully acknowledged.

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Manivannan, A., Anandakumar, C.R., Ushakumari, R. et al. Characterization of Indian clusterbean (Cyamopsis tetragonoloba (L.) Taub.) genotypes using qualitative morphological traits. Genet Resour Crop Evol 63, 483–493 (2016). https://doi.org/10.1007/s10722-015-0266-y

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