Hostname: page-component-8448b6f56d-gtxcr Total loading time: 0 Render date: 2024-04-24T17:46:43.569Z Has data issue: false hasContentIssue false
  • English
  • Français

Morpho-agronomic traits variability, allelic polymorphism and diversity analysis of African yam bean: towards improving utilization and germplasm conservation

Published online by Cambridge University Press:  26 April 2021

David Adedayo Animasaun Open the ORCID record for David Adedayo Animasaun [Opens in a new window] ,
Vincent Ochos Adikwu ,
Gabriel Ameh Alex ,
Tomi Philips Akinsunlola ,
Olabisi Fatimo Adekola  and
Ramar Krishnamurthy
David Adedayo Animasaun*
Affiliation:
Department of Plant Biology, Faculty of Life Sciences, University of Ilorin, P. M. B. 1515, Ilorin, Kwara State, Nigeria
Vincent Ochos Adikwu
Affiliation:
Department of Plant Biology, Faculty of Life Sciences, University of Ilorin, P. M. B. 1515, Ilorin, Kwara State, Nigeria
Gabriel Ameh Alex
Affiliation:
Department of Plant Biology, Faculty of Life Sciences, University of Ilorin, P. M. B. 1515, Ilorin, Kwara State, Nigeria
Tomi Philips Akinsunlola
Affiliation:
Department of Plant Biology, Faculty of Life Sciences, University of Ilorin, P. M. B. 1515, Ilorin, Kwara State, Nigeria
Olabisi Fatimo Adekola
Affiliation:
Department of Agronomy, Faculty of Agriculture, University of Ilorin, P. M. B. 1515, Ilorin, Kwara State, Nigeria
Ramar Krishnamurthy
Affiliation:
Department of Plant Biology, Faculty of Life Sciences, University of Ilorin, P. M. B. 1515, Ilorin, Kwara State, Nigeria C.G. Bhakta Institute of Biotechnology, Uka Tarsadia University, Bardoli, Surat District, Gujarat, India
*
*Corresponding author. E-mail: animasaun.ad@unilorin.edu.ng
Get access Rights & Permissions [Opens in a new window]

Abstract

This study assessed the genetic diversity of African yam bean (AYB) accessions using morphological and molecular markers. The accessions were grown, and morphological data collected were subjected to analysis of variance and multivariate analyses. Genomic DNA extracted from the accessions were amplified with inter simple sequence repeat (ISSR) markers. The diversity analysis was conducted using MEGA4 software. The accessions varied significantly (P < 0.05) in growth, flowering and seed-related parameters. Flowering commenced early in most accessions. Weight of 100-seed range from 15.01 to 21.15 g with the mean value of 18.30 g. Significant correlations existed between stem height, the number of leaves and leaf dimensions. Also, days to flowering correlated with pod formation; likewise, seed dimension had a positive association with seed weight. The principal biplot revealed that two components accounted for 41.77% of the observed variation. Analysis of the electropherogram showed 95 loci comprising 1351 alleles were detected by the ISSR markers with 65.26% polymorphism and combined polymorphic information content of 0.85. The principal coordinate analysis placed accessions together on a plane based on their spatial relationship. The dendrogram showed accession pairs (TSs-77, TSs-95) and (TSs-111, TSs-84) are closely related. The phylogram identified three kinships with a total length of 454. Accession TSs-115 is likely the progenitor while TSs-82 and TSs-86 are the most recent. The study concluded that a combination of morphological and ISSR markers is effective for the diversity study of AYB and the existing, genetic diversity in the accessions could be harnessed for its improvement, conservation and utilization.

Keywords

DNA fingerprintinggermplasmloci amplificationphylogramprincipal components
Type
Research Article
Information
Plant Genetic Resources , Volume 19 , Issue 3 , June 2021 , pp. 216 - 228
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of NIAB

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adesoye, AI and Nnadi, NC (2011) Mitotic chromosome studies of some accessions of African yam bean Sphenostylis stenocarpa (Hochst. Ex. A. Rich.) Harm. African Journal of Plant Science 5: 835–841.CrossRefGoogle 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, Dumet, DJ, Vroh-Bi, I, Kehinde, OB, Ojo, DK, Adegbite, AE and Franco, J (2012) Morphological diversity analysis of African yam bean and prospects for utilization in germplasm conservation and breeding. Genetic Resources and Crop Evolution 59: 927–936.CrossRefGoogle Scholar
Adewale, BD, Vroh-Bi, I, Dumet, DJ, Nnadi, S, Kehinde, OB, Ojo, DK, Adegbite, AE and Franco, J (2015) Genetic diversity in Africa yam bean accessions based on AFLP markers: towards a platform for germplasm improvement and utilization. Plant Genetic Resources: Characterization and Utilization 13: 111–118.CrossRefGoogle Scholar
Ajadi, BS, Adedapo, A and Tunde, AM (2011) Impact of climate on urban agriculture: case study of Ilorin city, Nigeria. Global Journal of Human Social Science 11: 25–30.Google Scholar
Ajibade, SR, Weeden, NF and Michite, S (2000) Inter simple sequence repeat analysis of genetic relationships in the genus Vigna. Euphytica 111: 47–55.CrossRefGoogle Scholar
Ajibade, SR, Balogun, MO, Afolabi, OO, Ajomale, KO and Fasoyiro, SB (2005) Genetic variation in nutritive and anti-nutritive content of African yam bean (Sphenostylis stenocarpa). Tropical Science 45: 144–148.CrossRefGoogle Scholar
Akinyosoye, ST, Adetumbi, JA, Amusa, OD, Agbeleye, A, Anjorin, F, Olowolafe, MO and Omodele, T (2017) Bivariate analysis of the genetic variability among some accessions of African yam bean (Sphenostylis stenocarpa (Hochst ex A. Rich) Harms). Acta Agricultural Slovenica 109: 493–507.CrossRefGoogle Scholar
Animasaun, DA, Morakinyo, JA, Mustapha, OT and Krishnamurthy, R (2015) Assessment of genetic diversity in accession of pearl millet (Pennisetum glaucum) and Napier grass (Pennisetum purpureum) using microsatellite (ISSR) markers. Iranian Journal of Genetics and Plant Breeding 4: 25–35.Google Scholar
Animasaun, DA, Morakinyo, JA, Krishnamurthy, R and Mustapha, OT (2017) Genetic divergence of Nigerian and Indian pearl millet accessions based on agronomical and morphological traits. Journal of Agricultural Sciences 62: 115–131.Google Scholar
Asuzu, IU (1986) Pharmacological evaluation of the folklore use of Sphenostylis stenocarpa. Journal of Ethnopharmacology 16: 263–267.CrossRefGoogle ScholarPubMed
Azeez, MA, Olowookere, MB, Animasaun, DA and Bello, BO (2017) Utility of some floral characters in the assessment of genetic diversity in sesame (Sesamum indicum L.). Acta Agricultural Slovenica 109: 61–70.CrossRefGoogle Scholar
Bello, BO and Olawuyi, OJ (2015) Gene action, heterosis, correlation and regression estimates in developing hybrid cultivars in maize.Tropical Agriculture (Trinidad) 92: 102–117.Google Scholar
Boadi, S, Baah-Acheamfour, M, Ulzen-Appiah, F and Jamro, GM (2014) Nontimber forest product yield and income from Thaumatococcus daniellii under a mixed tree plantation system in Ghana. International Journal of Forestry Research 2014. doi:10.1155/2014/524863.CrossRefGoogle Scholar
Chen, S, Pang, X, Song, J, Shi, L, Yao, H, Han, J and Leon, C (2014) A renaissance in herbal medicine identification: from morphology to DNA. Biotechnology Advances 32: 1237–1244.CrossRefGoogle Scholar
Collard, BCY, Jahufer, MZZ, Brouwer, JB and Pang, ECK (2005) An introduction to markers, quantitative trait loci (QTL) mapping and marker-assisted selection for crop improvement: the basic concepts. Euphytica 142: 169–196.CrossRefGoogle Scholar
Ekpo, AS (2006) Changes in amino acid composition of African yam beans (Sphenostylis stenocarpa) and African Locust Beans (Parkia filicoida) on cooking. Pakistan Journal of Nutrition 5: 254–256.Google Scholar
Fasoyiro, SB, Ajibade, SR, Omole, AJ, Adeniyan, ON and Farinde, EO (2006) Proximate, mineral and anti-nutritional factors of some underutilized grain legumes in South-Western Nigeria. Nutrition and Food Sciences 36: 18–23.Google Scholar
Ibirinde, DO, Aremu, CO, Balogun, K and Oladokun, L (2019) Assessment of seed and tuber production potential in varieties of Sphenostylis stenocarpa (Africa yam bean). Agricultural Sciences 10: 870–881.CrossRefGoogle Scholar
Ikhajiagbe, B, Mgbeze, GC, Folu, M and Dania, OG (2007) Responses of Sphenostylis stenocarpa (Hochst Ex. A. Rich) Harms (African yam bean) to salinity stress II: yield, yield components and chemical composition. NJB 20: 83–92.Google Scholar
Ilorin Atlas (1982) Geography Department University Press, Ilorin, Nigeria. Ilorin, Nigeria: University Press.Google Scholar
Kul, GYP, Amoatey, HM, Bansa, D and Kumaga, FK (2001) Cultivation and use of African yam bean (Sphenostylis stenocarpa) in the Volta Region of Ghana. Journal of Food Technology in Africa 6: 74–77.Google Scholar
Malek, MA, Rafii, Y, Afroz, M, Sharmin, S, Nath, UK and Mondal, MMA (2014) Morphological characterization and assessment of genetic variability, character association and divergence in soybean mutants. The Science World Journal 2014: 1–12.CrossRefGoogle ScholarPubMed
Martos, V, Royo, C, Rharrabti, Y, GarciaKul, GYP, Amoatey, HM, Bansa, D and Kumaga, FK (2001) Cultivation and use of African yam bean (Sphenostylis stenocarpa) in the Volta Region of Ghana. Journal of Food Technology in Africa 6: 74–77.Google Scholar
Micco, VD, Arena, C, Pignalosa, D and Durante, M (2011) Effects of sparsely and densely ionizing radiation on plants. Radiation Environment and Biophysics 50: 1–19.CrossRefGoogle ScholarPubMed
Moyib, OK, Gbadegesin, MA, Aina, OO and Odunola, OA (2008) Genetic variation within a collection of Nigerian accessions of African yam bean (Sphenostylis stenocarpa) revealed by RAPD primers. African Journal of Biotechnology 7: 1839–1846.CrossRefGoogle Scholar
Nigerian Metrological Agency (NIMET) (2016) Weather report for the year. Dec. 2016. Ilorin, Nigeria.Google Scholar
Nwofia, GE, Awaraka, R and Mbah, EU (2014) Yield and yield component assessment of some African yam bean genotypes (Sphenostylis stenocarpa Hochst Ex A. Rich) Harms in lowland humid tropics of southeastern Nigeria. American-Eurasian Journal of Agriculture and Environmental Sciences 14: 923–931.Google Scholar
Ojuederie, BO, Morufat, OB, Iyiola, F, David, OI and Mercy, OO (2014) Assessment of the genetic diversity of African yam bean (Sphenostylis stenocarpa Hochst ex. A Rich. Hams) accessions using amplified fragment length polymorphism (AFLP) markers. African Journal of Biotechnology 18: 1850–1858.Google Scholar
Olaniran, OJ (1982) The July–August rainfall: an experiment at Ilorin, Nigeria. Weather 37: 201–204.CrossRefGoogle Scholar
Olaniran, OJ (1988) The July–August rainfall anomaly in Nigeria. Climatologically Bulletin 22: 26–38.Google Scholar
Olatunji, TL and Afolayan, AJ (2019) Evaluation of genetic relationship among varieties of Capsicum annuum L. and Capsicum frutescens L. in West Africa using ISSR markers. Heliyon 5: e01700.CrossRefGoogle ScholarPubMed
Olorunmaiye, KS, Joseph, GG, Animasaun, DA and Oyedeji, S (2019) Mutagenic components and dosage effects of ethyl methanesulphonate on Arachis hypogea (SAMNUT 24 VR.). Ife Journal of Science 21: 309–322.CrossRefGoogle Scholar
Padulosi, S, Thompson, J and Rudebjer, P (2013) Fighting poverty, hunger and malnutrition with neglected and underutilized species NUS: needs challenges and the way forward. Biodiversity International Rome, p. 60.Google Scholar
Pfeiffer, T, Roschanski, AM, Pannell Korbecka, G and Schnitter, M (2011) Characterization of microsatellite loci and reliable genotyping in a polyploidy plant, Mercurialis perennis (Euphorbiaceae). The Journal of Heredity 102: 479–488.CrossRefGoogle Scholar
Popoola, JO, Adegbite, AE, Obembe, OO, Adewale, BD and Odu, BO (2011a) Morphological intraspecific variabilities in African yam bean (AYB) (Sphenostylis stenocarpa Ex. A. Rich) Harms. Scientific Research and Essay 6: 507–515.Google Scholar
Popoola, JO, Adegbite, AE and Obembe, OO (2011b) Cytological studies on some accessions of African yam bean (AYB) (Sphenostylis stenocarpa Hochst. Ex. A. Rich. Harms). International Research Journal of Plant Science 2: 249–253.Google Scholar
Potter, D (1992) Economic botany of Sphenostylis stenocarpa (Luguminosac). Economic Botany 46: 262–275.CrossRefGoogle Scholar
Potter, D and Doyle, JJ (1992) Origins of the African yam bean (Sphenostylis stenocarpa, Leguminosae) evidence from morphology, isozymes, chloroplast DNA, and linguistics. Economy Botany 46: 276–292.CrossRefGoogle Scholar
Saka, JO, Ajibade, SR, Adeniyan, ON, Oluwoyo, RB and Ogunbodede, BA (2004) Survey of underutilized legumes production systems in south-west agricultural zone of Nigeria. Journal of Agriculture and Food Information 6: 93–108.CrossRefGoogle Scholar
Shitta, NS, Abberton, MT, Adesoye, AI, Adewale, DB and Oyatomi, O (2016) Analysis of genetic diversity of African yam bean using SSR markers derived from cowpea. Plant Genetic Resources: Characterization and Utilization 14: 50–56.CrossRefGoogle Scholar
Sokal, R and Michener, CA (1958) Statistical method for evaluating systematic relationships. University of Kansas Science Bulletin 38: 1409–1438.Google Scholar
Tadesse, A (2017) Inter simple sequence repeat (ISSR) markers for genetic diversity studies in Trifolium species. Advances in Life Sciences and Technology 55: 34–37.Google Scholar
Tyagi, AK, Sharma, MK, Surya, MSK, Kerkhi, SA and Chand, P (2014) Estimates of genetic variability, heritability and genetic advance in linseed (Linum usitatissinum L.) germplasm. Progressive Agriculture 14: 37–48.Google Scholar
Uguru, MI and Madukaife, SO (2001) Studies on the variability in agronomic and nutritive characteristics of African yam bean (Sphenostylis stenocarpa) (Hochst ex. A. Rich. Harms). Plant Products Research Journal 6: 10–19.Google Scholar
Upadhyay, PVK, Singh, CN and Neeraja, I (2011) Identification of specific alleles and molecular diversity assessment of popular rice (Oryza sativa L.) varieties of India. International Journal of Plant Breeding and Genetic 5: 130–140.CrossRefGoogle Scholar
Varshney, RK, Chabane, K, Hendre, PS, Aggarwal, RK and Graner, A (2007) Comparative assessment of EST-SSR, EST-SNP and AFLP markers for evaluation of genetic diversity and conservation of genetic resources using wild, cultivated and elite barleys. Plant Science 173: 638–649.CrossRefGoogle Scholar
Supplementary material: File

Animasaun et al. supplementary material

Animasaun et al. supplementary material

Download Animasaun et al. supplementary material(File)
File 1.5 MB