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Phenotypic diversity of soybean (Glycine max (L.) Merr.) accessions in the Philippines for utilization

DOI: 10.18805/lr.v0iOF.3769    | Article Id: LR-302 | Page : 9-15
Citation :- Phenotypic diversity of soybean (Glycine max (L.) Merr.)accessions in the Philippines for utilization .Legume Research.2017.(40):9-15

Hidelisa De Chavez*, Teresita Borromeo, Nic Oswald Borines, Renerio Jr. Gentallan

hidelisa_dechavez@yahoo.com
Address :

Crop Science Cluster, College of Agriculture, University of the Philippines Los Baños.

Submitted Date : 4-07-2016
Accepted Date : 8-09-2016

Abstract

An increasing trend of soybean production and consumption has been seen in the Philippines. To assess the potential of the soybean germplasm for utilization, diversity of the Philippine soybean collection was established. High diversity was marked on 17 out of 29 qualitative characters, which include plant growth habit, leaf blistering and flower standard color. Phenotypic diversity indices (H’) of 92 soybean accessions averaged at 0.62. This aside, traits identical to a variety of soybean with superior characters were all present in the soybean germplasm collection. Using simple matching similarity coefficient, cluster analysis separated the different accessions into 12 distinct clusters at 62% similarity. Categorical Principal Component Analysis (CATPCA) showed that two independent components accounted for 35.36% of the total variation of the qualitative morphological characters. Factor loadings for each component showed the morphological characters, such as pubescence color, flower wing color, and seed coat color, that were contributing to the high projections in the two principal components. Accessions with vigorous seedlings were also observed. With the marked trait diversity, the soybean collection could be potentially used directly and for breeding purposes. Consequently, to uncover further the potential of our genetic resources at hand, the remaining germplasm accessions at NPGRL should be characterized and evaluated.
 

Keywords

Morphological diversity NPGRL soybean collection Plant genetic resources Soybean (Glycine max (L.) Merr.)

References

  1. Aquino, M.E.H. (2014). Soybean production triples. The Philippine Star – Global. Retrieved from: http://www.philstar.com/    agriculture/2014/04/13/1312197/soybean-production-triples
  2. Bilyeu, K., Ratnaparkhe, M.B. and Kole, C. (2016). Genetics, Genomics, and Breeding of Soybean. CRC Press, 2016. ISBN 1439844666, 9781439844663. 350 pp. 
  3. Cain, J.S., Parcell, J.L. and Kojima, Y. (2014).An Empirical Analysis of Demand for U.S. Soybeans in the Philippines. In Selected Paper prepared for presentation at the Southern Agricultural Economics Association (SAEA) Annual Meeting, Dallas, Texas, 1-4 February 2014.
  4. Copping, L.G., Green, M. B. and Rees, R.T. (eds.) (2012). Management in Soybean. Springer Science and Business Media,. ISBN 9401128707, 9789401128704. 369 pp.
  5. Dashek, W.V. and Harrison, M. (2006). Plant Cell Biology. Science Publishers. ISBN 1578083761, 9781578083763. 494 pp.
  6. Dossa, L.H., Abdulkadir, A., Amadou, H., Sangare, S. and Schlecht, E. (2011). Exploring the diversity of urban and peri-    urban agricultural systems in Sudano-Sahelian West Africa: An attempt towards a regional typology. Landscape Urban Plan. 102: 197–206.
  7. Eticha, F., Bekele, E., Belay, G. and Börner, A. (2005). Phenotypic diversity in durum wheat collected from Bale and Wello regions of Ethiopia, Plant Genet. Resour. 3: 35–43
  8. Fenta, B.A., Schluter, U., Garcia, B.M., DuPlessis, M., Foyer, C.H. and Kunert, K.J. (2011). Identification and application of phenotypic and molecular markers for abiotic stress tolerance in soybean. In Soybean - Genetics and Novel Techniques for Yield Enhancement, Prof. Dora Krezhova (Ed.) 181-195 pp.
  9. Fernández Navarrete, D. (1665). In: Awnsham Churchill and John Churchill, comps. 1704. A Collection of Voyages and Travels. London: Published by the author. 4 vols. 
  10. Frankel, O.H. (1986). Genetic resources: The founding years. II. The movement’s constituent assembly. Diversity 8: 30-    32.
  11. Gower, J.C. and Blasius, J. (2005). Multivariate prediction with nonlinear principal components analysis: Application. Kluwer Academic Publishers. Quality and Quantity. 39: 373-390. 
  12. Jamago, J.M. and Cortes, R.V. (2012). Seed diversity and utilization of the upland rice landraces and traditional varieties from selected areas in Bukidnon, Philippines. IAMURE Int. J. Ecol. Conserv. 4: 112–130.
  13. Kline, P. (1994). An Easy Guide to Factor Analysis. New York, NY: Routledge.
  14. Laliberté, B., Engels, J. and Fowler, C. (2000). The International Undertaking on plant genetic resources: Its relevance to botanic gardens. Botanic Gardens Conservation International (BGCI). 3 (5) retrieved from: https://www.bgci.org/    resources/article/0156/
  15. Lazor, J. and Coleman, E. (2013).The organic grain grower: small-scale, holistic grain production for the home and market producer. Chelsea Green Publishing, pp. 431.
  16. Linting, M., Meulman, J. J., Groenen, P. J. F., and Van der Kooij, A. J. (2007). Nonlinear principal components analysis: Introduction and application. Psychological Methods, 12: 336–358.
  17. Malik, R., Sharma, H., Sharma, I., Kundu, S., Verma, A., Sheoran, S., Kumar, R. and Chatrath, R. (2014). Genetic diversity of agro-morphological characters in Indian wheat varieties using GT biplot. AJCS, 8: 1266-1271. 
  18. Meulman, J. J., Heiser, W. J. and SPSS Inc. (Eds.). (2004). SPSS categories 13.0. Chicago, USA: SPSS Inc. pp. 159-213.
  19. Mureªanu, E., Samartinean, A., Legman, V. and Trifu, I. (2003). Onix – early soybean cultivar with qualitative traits. Romanian Agricultural Reasearch, 19-20: 26-34.
  20. O’Rourke, N. and Hatcher, L. (2013). A step-by-step approach to using SAS for factor analysis and structural equation modeling, 2nd ed.; SAS Institute: Cary, NC, USA. Ofori, K., Kumaga, F.K. and Tonyigah, A. (2014). Morphological characterization and agronomic evaluation of Bambara groundnut (Vigna subterranea (L.) Verdc.) germplasm in Ghana. PGR Newsletter Bioversity International - FAO. Issue No. 145, pp. 23-28.
  21. Ortiz Ríos, O.(2015). Plant breeding in the Omics Era. Springer International Publishing. DOI 10.1007/978-3-319-20532-8.
  22. Rabara, R.C., Ferrer, M.C., Diaz, C.L., Newingham, M.C.V. and Romero, G.O. (2014). Phenotypic diversity of farmers’ traditional rice varieties in the Philippines.. Agronomy, 4: 217-241.
  23. Rohlf, F. (2002). NTSYSpc: Numerical Taxonomy System, Version 2.1.; Exeter Publishing, Ltd.: Setauket, New York, NY, USA.
  24. Shannon, C.E. and Weaver, W.(1949). The mathematical theory of communication. The University of Illinois Press, Urbana, 117 pp.
  25. Shurtleff, W. and Aoyagi, A. (2009). History of miso, soybean Jiang (China), Jang (Korea) and Tauco (Indonesia) (200 BC-    2009). Soyinfo Center, ISBN 1928914225, 9781928914228. 1378 pp.
  26. Shurtleff, W. and Aoyagi, A. (2010). History of soybeans and soyfoods in Southeast Asia (13th Century To 2010): Extensively Annotated Bibliography and Sourcebook. Soyinfo Center,. ISBN 1928914306, 9781928914303. 1031 pp.
  27. Shurtleff, W. and Aoyagi, A. (2014). History of soybeans and soyfoods in Japan, and in Japanese cookbooks and restaurants outside Japan (701 CE to 2014). Soyinfo Center, 2014. ISBN 1928914659, 9781928914655. 3377 pp.
  28. Sullivan, S.N.(2004). Plant genetic resources and the law. Past, present, and future. Plant Physiol. 135: 10–15 pp. doi: 10.1104/pp.104.042572
  29. Udensi, O., Ikpeme, E.V., Markson, A.A., Edu, E.A.B., Umana, and E.J., Urua, I.S. (2010).Selection of soybean genotypes using morphological markers. IJCR.7: 005-008.
  30. Upadhyaya H.D., Gowda, C.L.L. and Sastry D.V.S.S.R. (2008). Plant genetic resources management: collection, characterization, conservation and utilization. J. SAT Agric. Res., 6: 35-56.

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