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Re-defining the yam (Dioscorea spp.) core collection using morphological traits

Published online by Cambridge University Press:  03 May 2017

Gezahegn Girma ,
Ranjana Bhattacharjee ,
Antonio Lopez-Montes ,
Badara Gueye ,
Sam Ofodile ,
Jorge Franco  and
Michael Abberton
Gezahegn Girma
Affiliation:
International Institute of Tropical Agriculture (IITA), PMB 5320, Ibadan, Nigeria
Ranjana Bhattacharjee*
Affiliation:
International Institute of Tropical Agriculture (IITA), PMB 5320, Ibadan, Nigeria
Antonio Lopez-Montes
Affiliation:
International Institute of Tropical Agriculture (IITA), PMB 5320, Ibadan, Nigeria
Badara Gueye
Affiliation:
International Institute of Tropical Agriculture (IITA), PMB 5320, Ibadan, Nigeria
Sam Ofodile
Affiliation:
International Institute of Tropical Agriculture (IITA), PMB 5320, Ibadan, Nigeria
Jorge Franco
Affiliation:
Departamento de Biometría, Estadística y Computación, Facultad de Agronomía, UDELAR, Ruta 3, Km. 363, Paysandú, Uruguay
Michael Abberton
Affiliation:
International Institute of Tropical Agriculture (IITA), PMB 5320, Ibadan, Nigeria
*
*Corresponding author. E-mail: [email protected]
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Abstract

Development of core collection representing the diversity in the entire germplasm creates a better access and enhanced utilization of the main collection thus allowing rapid evaluation in crop improvement programs. Core collections are dynamic in nature and needs revisiting when additional germplasm and information becomes available. In the current study, an attempt was made to re-define the previously developed yam (Dioscorea spp) core collection using 56 morphological traits. Information on additional acquired germplasm and presence of duplicates or mislabelled accessions in the entire collection was also used. The re-defined core collection consisted of 843 accessions and represented about 20% of the entire collection. It included six Dioscorea species, of which accessions of Dioscorea rotundata are in the majority (73.54%) followed by Dioscorea alata (21.35%), Dioscorea bulbifera (1.66%), Dioscorea cayenensis (1.42%), Dioscorea dumetorum (1.42%) and Dioscorea esculenta (0.59%). The Shannon weaver diversity index and principal component analysis revealed the maximum diversity captured in the core from the base collection. This re-defined core collection is more valuable than the original core since it represents true-to-type accessions ensuring reliability for enhanced utilization of germplasm in yam improvement programs.

Keywords

core collectionDioscoreamorphological traitsphenotypic diversityyam
Type
Research Article
Information
Plant Genetic Resources , Volume 16 , Issue 3 , June 2018 , pp. 193 - 200
Copyright
Copyright © NIAB 2017 

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References

Bhattacharjee, R, Dumet, D, Ilona, P, Folarin, S and Franco, J (2012) Establishment of a cassava (Manihot esculenta Crantz) core collection based on agro-morphological descriptors. Plant Genetic Resources: Characterization and Utilization 10: 119–127.Google Scholar
Considine, DM and Considine, GD (2012) Yams. Foods and food production encyclopedia. Springer Science and Business Media, pp. 2160–2170.Google Scholar
Dansi, A, Pillay, M, Mignouna, HD, Mondeil, F and Dainou, O (2001a) Ploidy level of the cultivated yams (Dioscorea cayenensis–Dioscorea rotundata complex) from Benin Republic determined by chromosome counting and flow cytometry. African Crop Science Journal 8: 355–364.Google Scholar
Dansi, A, Mignouna, HD, Pillay, M and Zok, S (2001b) Ploidy variation in the cultivated yams (Dioscorea cayenensis–Dioscorea rotundata complex) from Cameroon as determined by flow cytometry. Euphytica 119: 301–307.Google Scholar
Degras, L (1993) The Yam: a Tropical Root Crop. London: Macmillan Press Ltd.Google Scholar
FAOSTAT (2013) FAOSTAT Data Base. Rome: Food and Agriculture Organization of the Unites Nations. Available at http://faostat.fao.org.Google Scholar
Franco, J, Crossa, J, Taba, S and Shands, H (2005) A sampling strategy for conserving genetic diversity when forming core subsets. Crop Science 45: 1035–1044.Google Scholar
Franco, J, Crossa, J and Deshpande, S (2010) Hierarchical multiple factor analysis for classifying genotypes and forming core subsets based on phenotypic and genetic data. Crop Science 50: 105–117.CrossRefGoogle Scholar
Frankel, OH and Brown, AHD (1984) Plant genetic resources today: a critical appraisal. In: Holden, JHW and Williams, JT (eds) Crop Genetic Resources: Conservation and Evaluation. London: George Allen & Unwin, pp. 249–257.Google Scholar
Girma, G, Korie, S, Dumet, D and Franco, J (2012) Improvement of accession distinctiveness as an added value to the global worth of the yam (Dioscorea spp) genebank. International Journal of Conservation Science 3: 199–206.Google Scholar
Govaerts, R, Wilkin, P and Saunders, RMK (2007) World Checklist of Dioscoreales. Yams and their Allies. Kew: The Board of Trustees of the Royal Botanic Gardens, pp. 1–65.Google Scholar
Gower, JC (2005) Similarity, Dissimilarity, and Distance Measure. In Armitage, P and Colton, T (eds.) Encyclopedia of Biostatistics. John Wiley & Sons, Ltd.Google Scholar
IPGRI/IITA (1997) Descriptors for Yam (Dioscorea spp.). Ibadan, Nigeria: International Institute of Tropical Agriculture/Rome, Italy: International Plant Genetic Resources Institute.Google Scholar
Josse, J and Husson, F (2008) FactoMineR: an R package for multivariate analysis. Journal of Statistical Software 25: 1–18.Google Scholar
Kaufman, L and Rousseeuw, PJ (1990) Finding Groups in Data: an Introduction to Cluster Analysis. New York: John Wiley & Sons.Google Scholar
Lebot, V (2009) Tropical Root and Tuber Crops: Cassava, Sweet Potato, Yams and Aroids. Wallingford, UK: CABI Publishers.Google Scholar
Le Dien, S and Pagés, J (2003) Analyse factorielle multiple hièrarchique. Revue de Statistique Appliquèe 51: 47–73.Google Scholar
Mahalakshmi, V, Ng, N, Obidiegwu, J, Ogunsola, D, Lawson, M and Ortiz, R (2007) Development of West African yam Dioscorea spp. core collection. Genetic Resources and Crop Evolution 54: 1863–1863. doi: 10.1007/s10722-007-9236-3.Google Scholar
Peeters, JP and Galwey, NW (1988) Germplasm collections and breeding needs in Europe. Economic Botany 42: 503–521.Google Scholar
R Core Team (2011) R: a Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. Available at https://www.R-project.org.Google Scholar
SAS Institute Inc (2013) SAS® 9.4 Guide to Software Updates. Cary, NC: SAS Institute Inc.Google Scholar
Shannon, CE and Weaver, W (1949) The Mathematical Theory of Communication. Urbana: University of Illinois Press.Google Scholar
Srivastava, AK, Gaiser, T, Paeth, H and Ewert, F (2012) The impact of climate change on Yam (Dioscorea alata) yield in the savanna zone of West Africa. Agriculture, Ecosystems & Environment 153: 57–64.Google Scholar
Studnicki, M, Madry, W and Kociuba, W (2010) The efficiency and effectiveness of sampling strategies used to develop a core collection for the Polish spring triticale (xTriticosecale Wittm.) germplasm resources. Communications in Biometry and Crop Science 5: 127–137.Google Scholar
Upadhyaya, HD, Dwivedi, SL, Gowda, CLL and Singh, S (2007) Identification of diverse germplasm lines for agronomic traits in a chickpea (Cicer arietinum L.) core collection for use in crop improvement. Field Crops Research 100: 320–326.CrossRefGoogle Scholar
Wright, BD (1997) Crop genetic resource policy: the role of ex-situ genebanks. Australian Journal of Agricultural Resources and Economics 41: 81–115.CrossRefGoogle Scholar
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