Journal of Innovative Agriculture, Volume 8, Issue 3 : 46-57. Doi : 10.37446/jinagri/rsa/8.3.2021.46-57
Research Article

OPEN ACCESS | Published on : 30-Sep-2021

Generation mean analysis in finger millet (Eleusine coracana L. Gaertn)

  • Wossen Tarekegne
  • Bahir Dar University, Department of Plant Sciences, Bahir Dar, Ethiopia.
  • Firew Mekbib
  • Haramaya University, School of Plant Sciences, Dire Dawa, Ethiopia.
  • Yigzaw Dessalegn
  • ILRI, LIVES Project, Bahir Dar, Ethiopia.

Abstract

The choice of an efficient breeding procedure depends to a large extent on knowledge of the genetic system controlling the character to be selected. The objective of this study was to determine finger millet yield and yield components inheritance type and maternal effect existence and magnitude with analysis of generation mean. Ten generations (P1, P2, F1, F2, BC1 and BC2) and reciprocals (RF1, RF2, RBC1 and RBC2) developed from improved variety “Necho” x landrace “Tikur dagusa” cross. The results showed that, the presence of genetic variation for all traits. No significant differences were found for all the characters studied between F1, F2, BC1 and BC2 with their corresponding reciprocal generations; which indicating the absence of maternal effect. The scaling test and six parameter model predominantly self-pollinated crops like finger millet additive component of gene action are more useful for breeders for successful exploitation in the selection programme, by corresponding with additive x additive type of interaction effects and complementary type of epistasis. Hence, the types of inheritance found in the studied traits were both additive and non-additive gene effects. This suggest recurrent selection breeding method at early and later generations for the possibility of developing pure line and hybrid varieties of finger millet.

Keywords

gene actions, reciprocal cross, scaling test, six generation

References

  • Abd El-Majeed, S.A. (2005). Estimation of epitasis additive and dominance variation in some bread wheat (Triticum aestivum L.) crosses. Monsoura University. Journal of Agricultural Science, 30(6), 2999–3011.

    ACET & KIRDI (African Centre for Economic Transformation and Kenya Industrial Research Development Institute). (2014). Promoting Rural Sustainable Development and Transformation in Africa: Kenya Millet Value Chain Study Report. 1- 54.

    Akhtar, N., & Chowdhry, M.N. (2006). Genetic analysis of yield and some other quantitative traits in bread wheat. International Journal of Agricultural Biology, 8(4), 523–527.

    Alake, C.O., Ariyo, O.J., & Kehinde, O.B. (2012). A quantitative analysis of the genetics of yield and yield components in West Africa Okra, Abelmoschus caillei (A.chev) Stevels. International Journal of Plant breeding and Genetics, 6(2), 94-104.

    Allard, R.W. (1960). Principles of plant breeding. pp. 485. John Wiley and sons Inc., New York.

    Bennetzen, J.L., Dida, M.M., Manyera, N.W.M., & Devos, K.M. (2003). Characterization of genetic diversity in finger millet (Eleusine coracana). http://www.cereals genomics.org. Access on January 2012.

    Berhanu, A., Anteneh, A., & Dereje, A. (2014). Response of irrigated onion (Allium cepa L.) to nitrogen and phosphorus fertilizers at Ribb and Koga irrigation schemes in Amhara Region, North Western Ethiopia. International Research Journal of Agricultural Science and Soil Science, 4, 95-100.

    Bhor, T.J., Chimote, V.P. & Deshmukh, M.P. (2014). Genetic analysis of yield and yield components in soya bean. Indian Journal of Agricultural Research, 48(6), 446-452.

    Cavalli, L. L. (1952). An analysis of linkage in quantitative inheritance. pp. 135-144. In: Rieve, E. C.R. and Waddington, C. H. (eds.), HMSO. London.

    Chaudhary, B. D., Pannu, R. K., Singh, D. P., & Singh, P. (1996). Genetic of metric traits related with biomass partitioning in wheat under drought stress. Annals of Biology, 361-367.

    Checa, O., Ceballos, H., & Blair, M.W.  (2006). ‘Generation means analysis of climbing ability in common bean (Phaseolus vulgaris L.)’. Heredity, 97, 456-461.

    CSA (Central Statistical Agency). (2015). Agricultural sample survey report on area and production for major crops (Private peasant holdings meher season). Central Statistical Agency, Statistical Bulletin, 1(578). Addis Ababa, Ethiopia.

    Cukadar-Olmedo, B., & Miller, J.F. (1997). Inheritance of stay green trait in sunflower. Crop Science, 37: 150-153.

    Deb, A.C., & Khaleque, M.A. (2009). Nature of gene action of some quantitative traits in chickpea (Cicer arietinum L.). World Journal  Agricultural Science, 5(3), 361–368.

    Dvojković, K., Drezner, G., Novoselović, D., Lalić, A., Kovaćević, J., Babić. D., & Barić, M. (2010). Estimation of some genetic parameters through generation means analysis in two winter wheat crosses. Periodicum Biology, 112, 247-251.

    Farshadfar, E., Aghaie, M., Sgarifi, M., & Yaghotipoor, A. (2008). Assessment of salt tolerance inheritance in barley via generation mean analysis. Journal of Biological Science, 8, 461-465.

    Foroozanfar, M., & Zeynali, H. (2013). Inheritance of some correlated traits in bread wheat using generation mean analysis. Advanced Crop Science, 3(6), 436–443

    Hailu T., & Peat, W.E. (1997). Genetics of grain yield and other agronomic characters in tef (Eragrostis tef Zucc. (Trotter)). Generation means and variances analysis. Euphytica, 96, 185–191.

    Hayman, B.I. (1958). The separation of epistatic from additive and dominance variation in generation means. Heredity, 12, 371-391.

    Hayman, B.I., & Mather, K. (1955). The description of genetic interaction in continuous variation. Biometrics, 11, 69-82

    Hendawy, F.A., Dawwam, H.A., Abo Sheriff, M.A., & Massry, E. L. El. (2009). Detection of epistasis in the inheritance of grain yield and its components in bread wheat (Triticum aestivum L.) using triple test cross analysis. Menufiya Journal of Agriculture Research, 34(2), 625-640.

    Hendawy, H. (2003). Genetic architecture of yield and its components and some other agronomic traits in bread wheat. Menufiya Journal of Agriculture Research, 28(1), 71-86.

    http://www.cgiar.org/our-strategy/crop-factsheets/millets/, accessed on November 2016.

    Jinks, J. L., & Jones, R.M. (1958). Estimation of the components of heterosis. Genetics, 43, 223-224.

    Kearsey, M.J., & Pooni, H.S. (1996). The genetically analysis of quantitative traits, 1st edition. Chapman and Hall, London.  

    Kearsey, M.J., & Pooni, H.S. (2004). The genetically analysis of quantitative traits. Chapman and Hall, UK.

    Khattab, S.A.M., Esmail, R. M., & Abd EL-Rahman AL-Ansary, M.F. (2010). Genetical Analysis of some Quantitative Traits in Bread Wheat (Triticum aestivum L), New York. Science Journal, 3(11), 152-157.

    Kiani, SH., Kazemitabar, S.K., Babaeian Jelodar, N.A., and Anjbar, G.A. (2013). Genetic Evaluation of Quantitative Traits of Rice (Oryza sativa L.) Using Generation Mean Analysis. International Journal of Agriculture and Crop Sciences, 2330-2336.

    Kumar, B., & Patra, N. M. (2010).  Genetic analysis of capsule and its associated economics traits in opium poppy (Papaver somniferum L.). Journal of Heredity, 101, 657–660.

    Marimuthu, R., & Rajagopalan, R. (1997). Generation mean analysis in finger millet. Madras Agricultural Journal, 84(1), 8-10

    Mather, K. (1949). Biometrical genetics: The study of continuous variation. Methuen and Co.Ltd., London.

    Mather, K., & Jinks, J.L. (1982). Biometrical genetics. pp. 396. Chapman and Hall, Inc., London.

    Mohamed, A., & Khaled, I. (2013). Genetic system controlling the yield and its components in three bread wheat (Triticum aestivum, L.) crosses. Egypt Journal of Agriculture Research, 91(2), 641-653.

    Mousaa, A.M. (2010). Estimation of epistasis, additive and dominance variation in certain bread wheat (Triticum aestivum L.) crosses. Journal of plant production, 12, 1707-1719.

    Noubissie Tchiagam, J.B., Youmbi, E., Njintang, N.Y., Bell, J.M., & Nassourou Maina, A. (2011). Generation Means Analysis of Seed Sucrose Content in Cowpea (Vigna unguiculata L. Walp.). Asian Journal of Agricultural Sciences, 3(6), 475-480.

    NRC (National Research Council). (1996). Finger millet in lost crops of Africa: grains.  National Academy of Science, 1, 39-57

    NSRC (National Soil Research Center). (2006). Soils of Adet Agricultural Research Center Testing Sites. Addis Abeba, Ethiopia.

    Oduori, C.O.A. (1998). Finger millet better varieties–Better crop care-More Food, DFID and GON produced by DEVCOM and AIC.

    Oduori, C.O.A. (2008). Breeding investigations of finger millet characteristics including blast disease and striga resistance in western Kenya. Doctoral dissertation, University of KwaZulu-Natal.

    Roach, D. A., & Wulff, R. D. (1987). Maternal Effects in Plants. Annual Review of Ecology and Systematics, 18, 209-235.

    Salasya, B., Oduori, C., Ambitsi, N., Onyango, E., Oucho P., & Lumuli, J. (2009). The status of finger millet production in western Kenya. African Crop Science Society, 9, 719–723.

    SAS (Statically Analysis System). (2002). Guide for personal computers. 6th edn. S.A.S. Institute Inc., Cary, NC, USA.

    Shashikumar, K. T., Pitchaimuthu, M., & Rawal, R. D. (2010). Generation mean analysis of resistance to downey mildew in adult muskmelon plants. Euphytica, 173, 121–127.

    Singh, L. P., & Narayanan, S. S. (2000). Biometrical techniques in plant breeding, 2nd edition, Kalyani Publishers, New Delhi, India.

    Singh, S., & Pawar, I. S. (2005). Expected mean of generations. Eds: Theory and Application of Biometrical Genetics. CBS Publish. Distributors, New Delhi.

    SPAR 2.0 (Statistical Package for Agricultural Research software version 2.0) created by Indian Agricultural Research Institute, New Delhi, India.

    Steel, R.G.D., Torrie, J.H., & Dickey, D.A. (1997). Principles and Procedures of Statistics: A biometrical approach. pp. 481. McGraw-Hill Book Company, New York.

    TNAU (TamilNadu Agricultural University). (2008). Crop Improvement: Emasculation and Pollination Techniques. Coimbatore. http://agritech.tnau.ac.in/crop_improvement /crop_imprv_emasculation_millets.html: accessed on November 2012.

    Tsehaye, Y., & Fassil K. (2002). Morphological diversity and geographical distribution of adaptive traits in finger millet (Eleusine coracana (L.) Gaertn. Subsp. coracana (poaceae) population from Ethiopia. Ethiopian Journal of Biological Sciences, 1, 37-62.

    WAMSC (Western Amhara Metrological Services Center). (2014).  Seasonal Agro Metrological Data. Bahir-Dar, Ethiopia.

    Yadav, H.K. & Singh, S.P. (2011).  Inheritance of quantitative traits in opium poppy (Papaver somniferum L).  Genetika, 43(1), 113 -128.

    Yayeh, A., Tarekegne, W. ., & Abate, M. . (2021). Genetic variability and association analysis for yield and yield related traits in finger millet (Eluesine coracana (L.) Gaertn). Journal of Innovative Agriculture8(2), 9-16. https://doi.org/10.37446/jinagri/rsa/8.2.2021.9-16

    Zerihun, T. (2009). Role of orphan crops in enhancing and diversifying food production in Africa. African Technology Development Forum Journal, 6(3/4), 9-15.

    Zerihun, T., Chikelu, M.B.A., & Bradley, J.T. (2010). TILLING for Mutations in Model Plants and Crops. pp. 307-332. In: Mohan, J. S. and Brar, D.S. (eds.), Molecular Techniques in Crop Improvement (2nd ed.). Springer Dordrecht Heidelberg, London.

Statistics

  • No.of Views (322)
  • PDF Downloads (198)
;