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Evaluation of lowland rice (Oryza spp.) varieties for tolerance to flooding in freshwater and estuarine agro ecosystems in Delta State

E.U. Uwuigbe, S.O. Akparobi, F.O. Oroka

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Int. J. Biosci.20(4), 70-84, April 2022

DOI: http://dx.doi.org/10.12692/ijb/20.4.70-84


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The study was conducted to evaluate the best 21 identified rice varieties with the flood-tolerant trait in freshwater and estuarine environments. The experiment was a split-plot laid out in a Randomized Complete Block Design (RCBD) with three replications. The varieties by environmental interaction and stability estimate were investigated in four different environments; First Planting Estuarine (FPE)-E1, First Planting Freshwater (FPFW)-E2, Second Planting Estuarine (SPE) -E3 and Second Planting Freshwater (SPFW)-E4. Parameter accessed was Plant height (cm), Number of tillers, and Leaf diameter (cm), Days to 50% flowering, Days to 50% maturity, Number of panicle/plant, Number of grain/panicle, Harvest index, 1000 seed weight (g), Seed yields/plant(g), Seed yield (t/ha). Data collected were subjected to analysis of variance. The result showed that the partitioning of Genotype x Genotype x Environment through GGE biplot analysis showed that principal components I and II accounted for81.7% and 11.8% of GGE sum of squares, respectively, giving a total of 93.5% variation. The AMMI biplot showed a significant difference among varieties at (P<0.05) and Faro 44, Faro 4, Swana Sub 1, Faro 67, Faro 37, and Faro 66, giving the highest mean seed yield (t/ha) of 30.69t/ha, 30.36t/ha, 35.93t/ha, 34.73t/ha, 32.79t/ha and 32.64t/ha respectively in the winning environments E2 and E4. The study concluded Environments E2 and E4 as high yielding and stable and are therefore recommended to farmers for optimum yield.


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Evaluation of lowland rice (Oryza spp.) varieties for tolerance to flooding in freshwater and estuarine agro ecosystems in Delta State

Afrin WM, Nafis MA, Hossain MM, Islam MA, Hossain. 2018. Responses of rice (Oryza sativa L.) genotypes to different levels of submergence Compt Rend Biology 341(2), p 85-96.

Akinwale MG, Akinyele BO, Odiyi AC, Nwilene F, Gregorio GB, Oyetunji OE. 2012. Phenotypic Screening of Nigerian Rainfed Lowland Mega Rice Genotypes for Submergence Tolerance”. In: Proceedings of the World Congress on Engineering Volume I. WCE 2012, London, U.K. ISBN: 978-988-19251-3-8.

Annicchiarico P. 2002. Genotype x environment interractions;  Chanlleges and opportunities for plant breeding and cultivar recommendations. FAO Plant production and protection p 174.115.

Asnake W, Henry M, Temesgen Z, Girma T. 2013. Additive main effects and multiplicative interactions model (AMMI) and genotype main effect and genotype by environment interaction (GGE) biplot analysis of multi-environmental wheat variety trials. African Journal of Agricultural Research, 8(12), p 1033-1040.

Bailey-Serres J, Lee SC, Brinton E. 2012. Waterproofing crops: Effective flooding survival strategies. Plant Physiol 160, p 1698–1709.

Bailey-Serres J, Voesenek LA. 2008. Flooding stress: Acclimations and genetic diversity. Annual Review of Plant Biology 59, p 313–339.

Chukwu SC, Rafii MY, Ramlee SI, Ismail SI, Oladosu Y, Okporie E, Jalloh M. 2019. Marker-assisted selection and gene pyramiding for resistance to bacterial leaf blight disease of rice (Oryza sativa L.). Biotechnol. Biotechnology 33, p 440–455.

Dar R, Chakravorty SA, Waza M, Sharma NW, Zaidi AN, Singh US, Singh AM. 2017. Ismail Transforming rice cultivation in flood prone coastal Odisha to ensure food and economic security Food Sec 9( 4), p  711-722.

Dey S, Upadhyaya K. 2018. Principles and Practices of Rice Production IRRI.  Los Banos, Philippine p 618- 623.

Ding M, Tier B, Yan W. 2007. Application of GGEbiplot analysis to evaluate genotype (G), environment (E) and GxE interaction on P. radiata: Case study. Proceedings of the Australasian Forest Genetics Conference,, the Old Wool store, Hobart, Tasmania, Australia, p 1-15.

Erenstein O, Frederic L, Akande SO, Titilola SO, Akpokodje G, Ogundele OO. 2013. Nigeria -Rice production systems. WARDER-NISER, Nigeria, p 95-99.

Fageria NK, Moreira A, Coelho AM. 2001. Yield and yield components of upland rice as influenced by nitrogen sources. Journal of Plant Nutrition 34, p. 361–370.

Gauch HG. 2006. Statistical analysis of yield trials by AMMI and GGE.Genotype x environment interactions for a diverse of sweet potato clones evaluated across varying eco-geographic conditions in Peru. Crop Science 45, p 2160-2171.

Gauch HG, Zobel RW. 1996. AMMI Analysis of Yield Trials. In: Genotype-by-Environment Interaction, Kong, M.S. and H.G., Gauch (Eds.). CRC Press, Boca Raton, FL., USA., p 85-122.

Gomez K. 1972. Techniques for Field Experiments with Rice.International Rice Research Institute, Los Banos, Laguna, Philippines.p .48-62.

Imolehin ED, Wada AC. 2005. Meeting the rice production and consumption demands of Nigeriawith improved technologies.International Rice Commission Newsletter 49, FAO, Rome, p 23-41.

Kempton RA, Fox PN, Cerezo M. 2012 Statistical Methods for Plant Variety Evaluation;Springer Science & Business Media: Berlin, Germany. ISBN 978-94-009-1503-9.

Longtau SR. 2003. Multi-Agency Partnerships in West African Agriculture: A review and description of rice production systems in Nigeria. Document prepared by the Overseas Development Institute (ODI) London, p 1–36.

NIMET. 2021. Seasonal Rainfall Prediction and its Socio Economic Implications in Nigeria.

Ogunbayo SA, Ojo DK, Popoola AR, Ariyo OJ, Sie M.   2007. Genetic comparisons of landrace rie accessions by morphological and RAPDs techniques. Asian Journal of Plant Science (6), p 653-666.

Oladosu Y, Rafii MY, Abdullah N, Magaji U, Miah G, Hussin G, Ramli A. 2017. Genotype× Environment interaction and stability analyses of yield and yield components of established and mutant rice genotypes tested in multiple locations in Malaysia. acta agriculture Scandinavia section b-soil and plant science 67, p. 590–606.

Wassmann R, Hien NX, Hoanh CT, Tuong TP. 2004. Sea level rise affecting Vietnamese Mekong Delta: water elevation in flood season and implications for rice production. Climate Change (66), p 89-107.

Wassmann R, Jagadish SV, Sumfleth K, Pathak H, Howell G, Ismail  A, Serraj R, Redona E, Singh RK, Heuer S. 2009. Regional vulnerability of climate change impacts on Asian rice production and scope for adaptation. Adv. Agronomy, 102, p 91–133.

Zobel RW, Wright MJ, Gauch HG. (1988).Statistical analysis of a yield trial. Agronomy Journal 80, p 388-393.


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