INHERITANCE STUDIES OF GRAIN YIELD IN AFRICAN YAM BEAN (SPHENOSTYLIS STENOCARPA (HOCHST EX. A. RICH.) HARMS)

Gbenga Oluwayomi Agbowuro

a:1:{s:5:"en_US";s:33:"Ekiti State University, Ado-Ekiti";}

Ayodeji Ekundayo Salami

Ekiti State University, Ado-Ekiti


Abstract

African yam bean (AYB) is a tropical underutilized legume serving as food and feed. Despite its nutritional values, low grain yield limits its production. Overcoming low grain yield through the breeding programme requires adequate information on the inheritance pattern of the traits responsible for low grain yield. However, there is dearth information for AYB. Two divergent grain yield potential AYB accessions collected from the International Institute of Tropical Agriculture, Ibadan Nigeria were crossed to generate F1. The F1 was advanced to F2 progenies. Backcrosses to the two parents (BC1 and BC2) were generated. The six generations obtained were evaluated in three agroecological environments. Data collected on grain yield and grain yield-related traits were subjected to analysis of variance. Generation mean analysis and scaling tests were estimated. The results revealed that at least one of the scaling tests was significant in all the studied traits. The dominance gene effects were larger than additive gene effects in the studied traits. Complementary epistasis was observed in some studied traits while duplicative epistasis was observed in other studied traits. Environmental variances were less than genotypic variances in all studied traits. The traits studied exhibited high broad sense and low narrow sense heritability. The results showed that both additive and non-additive gene actions are important in inheriting these traits. Hence, reciprocal recurrent selection is the most suitable breeding procedure to improve AYB grain yield.


Keywords:

Additive gene effects, African yam bean, dominance gene effects, epistasis, generation mean analysis, inheritance.


ABOU-SEN T. M. 2020. Generation Mean Analysis for Seed Yield and it Components of some   Google Scholar

Quantitative Characters on Soybean Crosses. J. of Plant Production, Mansoura Univ., 11(7):587-593. DOI: 10.21608/jpp.2020.110546   Google Scholar

ACQUAAH G. 2012. Principles of plant genetics and breeding. 2nd ed. Wiley-Blackwell, Oxford.   Google Scholar

ADEWALE D. B. (2011) Genetic diversity, Stability and Reproductive Biology of African yam   Google Scholar

bean (Sphenosylis stenocarpa (Hochst. Ex A Rich.) Harms. Unpublished PhD thesis, University of Agriculture, Abeokuta. Pg.186   Google Scholar

ADEWALE D., DUMET D. 2010. Descriptors for African yam beanSphenostylisstenocarpa   Google Scholar

(Hochst ex. A. Rich.) Harms (online) Available: http://old.iita.org/cms/articlefiles/1488-ayb_descriptors.pdf   Google Scholar

AFOLABI C.G., OGUNSANYA O.M., LAWAL O.I. 2019. Evaluation of some African yam bean   Google Scholar

(Sphenostylis stenocarpa [Hochst. Ex A. Rich]) accessions for resistance to flower bud and pod rot diseases. Curr. Plant Biol. 20:1-5. https://doi.org/10.1016/j.cpb.2019.100126   Google Scholar

AGBOWURO G.O. 2016. Genetic studies of low-n traits in maize (Zea mays) using North   Google Scholar

Carolina Mating Design II. M.Sc thesis, Ekiti State University, Ado-Ekiti Nigeria.   Google Scholar

ALPHONSU K., BELANE J.A., DAKORA F.D. 2011. Assessment of N2 fixation in 32 cowpea   Google Scholar

(Vigna unguiculata (L.) Walp) genotypes grown in the field at Taung in South Africa, using 15N natural abundance. African Journal of Biotechnology, 10:11450–11458   Google Scholar

ANSARI B.A., ANSARI K.A., KHUND A. 2004. Extent of heterosis and heritability in some   Google Scholar

quantitative characters of bread wheat. Indus. J. Pl. Sci., 3: 189-192   Google Scholar

AREMU C.O., OJUEDERIE O.B., AYO-VAUGHAN F., DAHUNSI O., ADEKIYA A.O.,   Google Scholar

OLAYANJU A., OBANIYI S. 2019. Morphometric analysis and characterisation of the nutritional quality in African yam bean accessions. Plant Physiol. Rep., 24(3):446–459   Google Scholar

BAIYERI S.O., UGURU M.I., OGBONNA P.E., SAMUEL-BAIYERI C.C.A., OKECHUKWU   Google Scholar

R., KUMAGA F.K. 2018. Evaluation of the nutritional composition of the seeds of some selected African yam bean (Sphenostylis stenocarpa Hochst ex. A. Rich (harms)) accessions. Agro-Science. 17(2):37–44   Google Scholar

BARAKAT M.N. 1996. Estimation of genetic parameters for in vitro traits in wheat immature   Google Scholar

embryo cultures involving high X low regeneration capacity genotypes. Euphytica,   Google Scholar

(2): 119–125   Google Scholar

EKPO A.S. 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

ELIA F.M., HOSFIELD G.L., KELLY J.D., UEBERSAX M.A. 1997. Genetic analysis and   Google Scholar

interrelationships between traits for cooking time, water absorption, and protein and tannin content of Andean dry beans. J. Amer. Soc. Hort. Sci. 122(4): 512-518   Google Scholar

FOUAD H.M. 2020. Six Generations Mean Analysis Using Scaling and Joint Scaling Tests in   Google Scholar

Faba Bean (Vicia faba L.). Journal of Sustainable Agricultural Sciences, 46(1): 1-11   Google Scholar

GBENGA-FABUSIWA F.J. 2020. African yam beans (Sphenostylis stenocarpa): A review of a   Google Scholar

novel tropical food plant for human nutrition, health and food security. Afr. J. Food Sci., 15:33-47. DOI: 10.5897/AJFS2020.1961   Google Scholar

GEORGE T.T., OBILANA A.O., OYEYINKA S.A. 2020. The prospects of African yam bean:   Google Scholar

Past and future importance. Heliyon, 6:e05458. https://doi.org/10.1016/j.heliyon.2020.e05458   Google Scholar

GUPTA R.P., PATEL S.R., MODHA K.G., WADEKAR P.B. 2017. Generation Mean Analysis   Google Scholar

for Yield and Yield Components in Cowpea [Vigna unguiculata (L.) Walp.] Int. J. Curr.   Google Scholar

Microbiol. App. Sci., 6(7): 2231-2240. https://doi.org/10.20546/ijcmas.2017.607.262   Google Scholar

HAKIZIMANA F., IBRAHIM M.H., LANGHAM A.C., RUDD C.J., HALEY, D.S. 2004.   Google Scholar

Generation mean analysis of wheat streak mosaic virus resistance in winter wheat. Euphytica 139:133–139   Google Scholar

JAGTAP D.R. 1986. Combining ability in upland cotton. Indian J. Agric. Sci., 56:833-840   Google Scholar

HAYMAN B.I. 1958.The separation of epistatic from additive and dominance variation in   Google Scholar

generation means. Heredity, 12: 371-390   Google Scholar

JINKS J.L., JONES R.M. 1958. Estimation of the components of heterosis. Genetics, 43:223-234.   Google Scholar

JUDE, A.I., ROMANUS O., CHEKWUBE A.C. 2022. Ethnobotanical, trado-medicinal uses,   Google Scholar

pharmacological investigations and chemical constituents of Sphenostylis stenocarpa (ex. a. Rich) harms seed. A review International Journal of Botany Studies. (7)1: 522-527.   Google Scholar

MATHER K., JINKS J.L. 1982. Introduction to Biometrical Genetics, third ed. Chapman and Hall   Google Scholar

Limited, London.   Google Scholar

MISTRY C., KATHIRIA K.B., SABOLU S., KUMAR S. 2016. Heritability and gene effects for   Google Scholar

yield related quantitative traits in eggplant. Annals of Agricultural Science. 61(2): 237–246. http://dx.doi.org/10.1016/j.aoas.2016.07.001   Google Scholar

NNAMANI C.V., AJAYI S.A., OSELEBE H.O., ATKINSON C.J., IGBOABUCHI A.N., EZIGBO E.C. 2017. Sphenostylis stenocarpa (ex. A. Rich.) Harms a fading genetic resource in a changing climate: prerequisite for conservation and sustainability. Plants. 6:1-16   Google Scholar

NNAMANI C.V., ADEWALE D.B., OSELEBE H.O., ATKINSON C.J. 2021. African Yam Bean   Google Scholar

the Choice for Climate Change Resilience: Need for Conservation and Policy, W. Leal Filho et al. (eds.), African Handbook of Climate Change Adaptation. https://doi.org/10.1007/978-3-030-42091-8_203-1   Google Scholar

OJUEDERIE O.B., BALOGUN M.O., ABBERTON M.T. 2016. Mechanism for pollination in   Google Scholar

African yam bean. African Crop Science Journal, (24)4: 405 – 416.   Google Scholar

OJUEDERIE O.B., POPOOLA J.O., AREMU C., BABALOLA O.O. 2021. Harnessing the   Google Scholar

Hidden Treasures in African Yam Bean (Sphenostylis stenocarpa), an Underutilized Grain Legume with Food Security Potentials. In: Babalola O.O. (eds) Food Security and Safety. Springer, Cham. https://doi.org/10.1007/978-3-030-50672-8_1   Google Scholar

OLUWOLE O.O., AWORUNSE O.S., AINA A.I., OYESOLA O.I., POPOOLA J.O., OYATOMI   Google Scholar

O.A., ABBERTON M.T., OBEMBE O.O. 2021. A review of biotechnological approaches towards crop improvement in African yam bean (Sphenostylis stenocarpa Hochst. Ex A. Rich.). Heliyon 7 (2021) e08481. https://doi.org/10.1016/j.heliyon.2021.e08481   Google Scholar

OYIGA B.C., UGURU M.I. 2011. Genetic Variation and Contributions of Some Floral Traits to   Google Scholar

Pod Yield in Bambara Groundnut (Vigna subterranea(L). Verdc) under Two Cropping Seasons in the Derived Savanna of the South-East Nigeria. International Journal of Plant Breeding, 5: 58–63, 2011   Google Scholar

ROBINSON H.F., COMSTOCK R.E., HARVEY P.H. 1955. Estimates of heritability and the degree of dominance in maize. Agronomy Journal, 41, 353–359.   Google Scholar

SAID A.A. 2014. Generation mean analysis in wheat (Triticium aestivum L.) under drought stress   Google Scholar

conditions. Annals of Agricultural Science, 59(2):177-184.   Google Scholar

SHAHROKHI M., KHORASANI S.K., EBRAHIMI, A. 2013. Study of genetic components in various maize (Zea mays L.) traits, using generation mean analysis method. International journal of Agronomy and Plant Production. 4(3): 405-412.   Google Scholar

SHARMA J.R. (1988) Statistical and biometrical methods in plant breeding. New Age   Google Scholar

International, New Dehli, India.   Google Scholar

SHITTA N.S., ABBERTON M.T., ADESOYE A.I., ADEWALE D.B., OYATOMI O. 2016.   Google Scholar

Analysis of genetic diversity of African yam bean using SSR markers derived from cowpea. Plant Genet Resour., 14(1):50–56.   Google Scholar

SUMANDIARSA K., BENGEN D.G., SANTOSO J., JANUAR H.I. 2021. The relationship   Google Scholar

between seasonal and environmental variations with morphometric characteristics of Sargassum polycystum (C. agardh. 1824) from Tidung, Sebesi and Bintan Islands Waters, Indonesia. Polish Journal of Natural Sciences, 36(1): 37–57   Google Scholar

THAKARE D.S., CHIMOTE V.P., DESHMUKH M.P., BHAILUME M.S., ADSUL A.T. 2017.   Google Scholar

Inheritance of yield and yield components in soybean (Glycine max (L.) Merrill.). Electronic Journal of Plant Breeding, 8(1):176-181 DOI: 10.5958/0975-928X.2017.00025.4   Google Scholar

VENGADESSAN V. 2008. Genetic and QTL analyses of sink size traits in pearl millet [Penisetum   Google Scholar

glaucum (L.) R. Br.] Ph.D. Thesis. Tamilnadu Agricultural University,   Google Scholar

Coimbatore, Tamilnadu, India.   Google Scholar

Download


Published
2024-09-27

Cited by

Agbowuro, G. O., & Salami, A. E. (2024). INHERITANCE STUDIES OF GRAIN YIELD IN AFRICAN YAM BEAN (SPHENOSTYLIS STENOCARPA (HOCHST EX. A. RICH.) HARMS). Polish Journal of Natural Sciences, 39(1). https://doi.org/10.31648/pjns.9688

Gbenga Oluwayomi Agbowuro 
a:1:{s:5:"en_US";s:33:"Ekiti State University, Ado-Ekiti";}
Ayodeji Ekundayo Salami 
Ekiti State University, Ado-Ekiti







-->