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Intraspecific variability in agro-morphological traits of African yam bean Sphenostylis stenocarpa (Hochst ex. A. Rich) harms

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Abstract

Intraspecific variabilities in 40 accessions of African yam bean (AYB) were assessed through characterization of 48 agromorphological traits for two cropping seasons between June and December 2011 and 2012. Data were analyzed using descriptive statistics, analysis of variance (ANOVA), correlation analysis, principal component analysis, and cluster analysis (Semi-partial R squared method). The accessions showed significant differences (P ≤ 0.05, P ≤ 0.01, P ≤ 0.0001) in 16 reproductive traits. Accessions TSs 66 (144.50 days), TSs 51 (144.67 days) and TSs 154 (144.67 days) were identified as early maturing accessions. The first five principal component axes explained 69.7% of the total variation with PC1 and PC2 contributing 38.9% to the total variation. Correlation coefficients were high and significant for yield traits. A highly significant correlation (r = 0.99***) was observed between seed yield (kg ha-1) and weight of total pods per plant. Tubers were produced from 42.5% of the accessions. The accessions of AYB were meaningfully grouped into five clusters at the R-squared distance of 0.04 similarity index. Phenotypically, AYB 57 and TSs 123 were the most similar accessions with the closest distance of 0.0071. Four seed shapes were identified; oval (82.5%), globular/round (5%), oblong (10%), and rhomboid (2.5%). In order to improve the yield of AYB, the number of seeds per pod, number of pods per plant, weight of total seeds per pod, and weight of total seed per plant are important determinant factors. The genetic variabilities observed in the traits studied could be utilised for improvement of AYB.

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Abbreviations

AYB:

African yam bean

NUS:

Neglected and underutilised species

PCA:

Principal component analysis

References

  • Adebisi MA, Ariyo OJ, Kehinde OB. 2001.Variation and Correlation studies in quantitative characteristics in Soybean. Proceedings of the 35th Annual Conference of the Agricultural Society of Nigeria held at the University of Agriculture, Abeokuta. pp 121–125

    Google Scholar 

  • Adewale BD. 2011. Genetic diversity, stability and reproductive biology of African yam bean Sphenostylis stenocarpa (Hochst. Ex. A. Rich.) Harms. PhD thesis, Federal University of Agriculture, Abeokuta, Nigeria

    Google Scholar 

  • Adewale BD, Daniel A, Aremu CO. 2013. The nutritional potentials and possibilities in African yam bean for Africans. Int. J. Agri. Sci. 3: 8–19

    Google Scholar 

  • Adewale BD, Dumet DJ. 2010. African yam bean: a crop with food security potentials for Africa. Afr. Tech. Dev. Foru. 6: 66–71

    Google Scholar 

  • Adewale BD, Dumet DJ. 2011. Descriptors for African yam bean. International Institute of Tropical Agriculture, IITA series (accessible on www.iita.org)

    Google Scholar 

  • Adewale BD, Dumet DJ, Vroh-Bi I, Kehinde OB, Ojo DK. et al. 2012. Morphological diversity analysis of African yam bean and prospects for utilization in germplasm conservation and breeding. Genet. Res. Crop Evo. 59: 927–936

    Article  Google Scholar 

  • Akande SR. 2009. Germplasm characterization of African yam bean (Sphenostylis stenocarpa) from south-west Nigeria Acta Hort. 806: 695–700

    Google Scholar 

  • Aremu CO, Ibirinde DB. 2012. Biodiversity studies on accessions of African yam bean(Sphenostylis stenocarpa) Int. J. Agric. Res. 7: 78–85

    Article  Google Scholar 

  • Ariyo OJ. 1987. Stability of performance of okra as influenced by planting dates. Theor. Appl.Genet.74: 83–86

    Article  CAS  PubMed  Google Scholar 

  • Chadran K, Pandya SM. 2000. Morphological characterization of Arachis species of section Arachis. Plant Genet. Res. Newsl. 121: 38–41

    Google Scholar 

  • Chakravorty A, Ghosh PD, Sahu PK. 2013. Multivariate analysis of phenotypic diversity of landraces of rice of West Bengal. Am. J. Exp. Agric.3: 110–123

    Article  Google Scholar 

  • Chaudhury VS, Singh BB. 1982. Heterosis and genetic variability in relation to genetic diversity in Soybean. Indian J. Genet.42: 324–328

    Google Scholar 

  • Dansi A, Vodouhè R, Azokpota RP, Yedomonhan H, Assogba P. 2012. Diversity of the neglected and underutilised crop species of importance in Benin. Sci. World J. 2012: 1–19

    Article  Google Scholar 

  • Gutierrez L, Franco J, Crossa J, Abadie T. 2003.Comparing a preliminary racial classification with a numerical classification of the maize landraces of Uruguay. Crop Sci. 43: 718–727

    Article  Google Scholar 

  • Hair JF, Anderson JR, Tatham RE, Black WC. 1998. Multivariate data analysis, 5th ed. Prentice-Hall international, Inc., London

    Google Scholar 

  • Hoft M, Barik SK, Lykke AM. 1999. Quantitative ethnobotany, application of multivariate and statistical analysis in ethnobotany. People and plants working paper 6, UNESCO, Paris pp 1–49

    Google Scholar 

  • Ibirinde DO, Aremu CO. 2013.Trait variability studies on African yam bean (Sphenostylis stenocarpa) grown in the Guinea Savannah Zone of Southwestern Nigeria. Int. J. Advan. Biol. Res. 3: 422–427

    Google Scholar 

  • Jaenicke H, Pasiecznik N. 2009. Making most of underutilised crops. LEISA Magazine. 25: 11–12

    Google Scholar 

  • Kornerup A, Wanscher JH. 1978. Methuen Hand Book of Colour. Methuen London Ltd. London: UK. p 252

    Google Scholar 

  • Nair NV, Balakrishan R, Screenivasan TV. 1998. Variability for quantitative traits in exotic hybrid germplasm of sugarcane. Genet. Res. Crop Evol. 45: 459–464

    Article  Google Scholar 

  • National Research Counci. 2006}. Lost Crops of Africa: Vol II: Vegetables and Yam bean Development, Security and Cooperation Policy and Global Affairs (DSC) Washington, D. C., USA. pp 322-34

  • Obizoba IC, Nnam N. 1992. The effects of sprouting times on nutritive value of two varieties of African yam bean (Sphenostylis stenocarpa). Pl. Foods Hum. Nutr. 42: 319–327

    Article  CAS  Google Scholar 

  • Ofori K, Kumaga FK, Tonyigah A. 2006. Morphological characterization and agronomic evaluation of Bambara groundnut (Vigna subterranea (L.) Verdc.) germplasm in Ghana. Pl. Genet. Res.Newsl. 145: 23–28

    Google Scholar 

  • Okigbo BN. 1973. Introducing the yam bean (Sphenostylis stenocarpa) (Hochst ex. A. Rich.) Harms. Proceedings of the first IITA Grain Legume Improvement Workshop 29th October-2nd November 1973 Ibadan. Nigeria

    Google Scholar 

  • Oniang’o RK, Shiundu K, Maundu P, Johns T. 2006. Diversity, nutrition and food security: the case of African leafy vegetables. In: Ravi, S. B., Hoeschle-Zeledon, I., Swaminathan, M. S. and Frison, E. (ed.). Hunger and Poverty: the role of biodiversity. Report of an International Consultation on the role of Biodiversity in 164 achieving the UN Millennium Development Goal of freedom from hunger and poverty. Chennai, India

    Google Scholar 

  • Padulosi S, Noun J, Giuliani A, Shuman F, Rojas W, Ravi B. 2003.Realizing the benefits in Neglected underutilised plant species through technology transfer and human resources development. Norway/UN Conference on Technology Transfer and Capacity Building, Trondheim, Norway.

    Google Scholar 

  • Pearson D. 1976. The chemical analysis of foods. Churchill Livingstone, New York pp 6–26

    Google Scholar 

  • Popoola JO, Adegbite AE, Obembe OO, Adewale BD, Odu BO. 2011. Morphological intraspecific variabilities in African yam bean (AYB) (Sphenostylis stenocarpa Ex. A. Rich) Harms. Sci. Res. and Essay.6: 507–515

    Google Scholar 

  • Potter D. 1992. Economic botany of Sphenostylis (Leguminosae). Economic Botan. 46: 262–275

    Article  Google Scholar 

  • Statistical Analysis Syste. 2010. User’s Guide. Basic version 9.3, SAS institute Cary, NC, USA

  • Togun AO, Olatunde AO. 1998. Effect of soil applied fertilizer on the growth and yield of African yambean (Sphenostylis stenocarpa). Nigerian J. Sci. 32: 43–48

    Google Scholar 

  • Uguru MI, Madukaife SO. 2001. Studies on the variability in agronomic and nutritive characteristics of African yam bean (Sphenostylis stenocarpa Hochst ex. iA. Rich. Harms) Pl. Prod. Res. J. 6: 10–19

    Google Scholar 

  • Ward JH.1963. Hierarchical Grouping to Optimize an Objective Function. J. Am. Statist. Assoc. 58: 236–244

  • Wien H, Summerfield RJ. 1984. Cowpea (Vigna unguiculata (L.)Walp.). In PR Goldsworthy, NM Fisher, eds, Physiol.Tropical Field Crops, pp 353–383

    Google Scholar 

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Correspondence to Omena Bernard Ojuederie.

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Ojuederie, O.B., Balogun, M.O., Akande, S.R. et al. Intraspecific variability in agro-morphological traits of African yam bean Sphenostylis stenocarpa (Hochst ex. A. Rich) harms. J. Crop Sci. Biotechnol. 18, 53–62 (2015). https://doi.org/10.1007/s12892-014-0109-y

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