Article abstract

Journal of Agricultural and Crop Research

Research Article | Published December 2020 | Volume 8, Issue 12. pp. 289-296.

doi: https://doi.org/10.33495/jacr_v8i12.20.202

 

New drought-tolerant rainfed upland rice (Oryza sp.) genotypes adapted to the west, centre-west, and centre regions of Côte d'Ivoire

 



 

 

Noumouha E. N. Ghislain1*

Anguété Kouamé M.1

Bouet Alphonse1

Bahan Frank1

N’Guetta A. Simon-Pierre2

Keli Zagbahi Jules1

 

Email Author
Tel: +22533792279.

 

1. Centre National de Recherche Agronomique (CNRA), Station de Recherche de Man, B.P. 440 Man, Côte d’Ivoire.

2. Université Félix Houphouët-Boigny, UFR Biosciences, Laboratoire de génétique, 02 B.P. 801 Abidjan 01, Côte d’Ivoire.



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Citation: Ghislain NEN, Kouamé AM, Alphonse B, Frank B, Simon-Pierre NA, Jules KZ (2020). New drought-tolerant rainfed upland rice (Oryza sp.) genotypes adapted to the west, centre-west, and centre regions of Côte d'Ivoire. J. Agric. Crop Res. 8(12):289-296. doi: 10.33495/jacr_v8i12.20.202.

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 Abstract 


To select new rainfed upland rice genotypes, adapted to the West, Centre-West, and Centre regions of Côte d'Ivoire, a study was conducted in research stations. Six genotypes (ART15-11-8-5-2-B-1, WAB891-SG12, WAB1092-B-40AB.1, ARCC3Fa3L10P1-1-B-1, and ART15-16-12 -3-1-B-1-B-3-1) including the control IDSA 10, widely cultivated across the country, were evaluated on three research stations of the National Center of Agricultural Research (CNRA), during the wet seasons of the year 2016 and 2017. These stations are located at the West, Center, and West-Center of Côte d'Ivoire. The trial was set up in a randomised complete block design with four replications. The agromorphological traits such as tillering ability, sowing-50% heading cycle, plant height, percentage of productive tillers, sowing-maturity cycle, and paddy yield were collected for each genotype. In all the environments evaluated, the genotypes ART15-11-8-5-2-B-1, WAB891-SG12, ARCC3Fa3L10P1-1-B-1, and ART15-16-12-3-1-B-1-B -3-1 were characterised by high percentages of productive tillers (87 to 91%), intermediate plant heights (114 to 121 cm), and high average paddy yields (2,601 to 2,810 kg/ha). Yield gains of these genotypes compared to the control ranged from 16 to 25%. The Genotype × Environment interaction (G × E) was highly significant for paddy yield (p < 0.001). The study of the interaction based on the first two principal components analysis of the GGE biplot, explained a 97% of the main effect of the Genotype and the G × E interaction. The polygon tool of the biplot suggested the existence of a single complex mega-environment. Visualizing the mean and stability of genotypes' paddy yield in the biplot indicated that genotypes ART15-11-8-5-2-B-1, WAB891-SG12, ARCC3Fa3L10P1-1-B-1, and ART15-16-12-3-1-B-1-B- 3-1 were more adapted to upland rice-growing regions of the West, Center-West, and Center of Côte d'Ivoire. These genotypes can be released for large scale rice production in these regions.

Keywords  Rainfed upland rice   G × E interaction   GGE biplot analysis   

 

 

Copyright © 2020 Author(s) retain the copyright of this article.or(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

 

 

  References 

 

CTIC (2015). Catalogue officiel des variétés de riz vulgarisées en Côte d'Ivoire. pp. 1-61.

 

Dessie A., Zedwu Z., Berie A. and Atnaf M. (2020). GGE biplot analysis of Genotype x Envionment interaction of cold tolerant green super rice genotypes in Ethiopia. Int. J. Res. Rev. 7(1):300-305.

 

ADERIZ (2019). Statistiques rizicoles en Côte d'Ivoire. Document de la Direction des statistiques et suivi-évaluation. Agence de Développement de la filière Riz (ADERIZ), Abidjan, Côte d'Ivoire.

 

AfricaRice (2009). Le riz tolérant au stress en Afrique: les acteurs font le point. Comuniqués de presse, Cotonou, Benin, 26 février 2009.

 

AfricaRice (2011). Mise en place des Groupes d’action à l’échelle du continent africain en vue d’accélérer la livraison de technologies rizicoles. Comuniqués de presse, Cotonou, Benin, 12 décembre 2011.

 

AfricaRice (2020). Innovation/variétés ARICA. https: //www.africarice-fr.org/arica.

 

Bahan F, Bouet A, Messoum F, Keli J, Zakra N, Adiko A (2019). Efficacy of a biostimulant-a mycorrhizal inoculant on rice yield. Int. J. Agric. Environ. Res. 5(4):456-468.

 

Bahan F, Kassin K, Koné B, Johnson J, Gbakatchétché H, Bouet A, Yao-Kouamé A, Camara M (2016). Impact de la riziculture traditionnelle sur la fertilité du sol: incidence de l'association riz (Oryza sativa L.) - maïs (Zea mays L.) sur quelques propriétés physiques d'un ferrasol dans le Centre-Ouest de la Côte d'Ivoire. Asian J. Sci. Technol. 7(3):2588-2595.

 

Bahan F, Yao-Kouamé A, Gbakatchétché H, Mahyao A, Bouet A, Camara M (2012). Caractérisation des associations culturales à base de riz (Oryza sp.): Cas du Centre-Ouest forestier de la Côte d'Ivoire. J. Appli. Biosci. 56:4118-4132.

 

Bernier J, Atlin G, Kumar A, Serraj R, Spaner D. (2008). Review: breeding upland rice for drought resistance. J. Sci. Food Agric. 88:927-939.

 

Bouet A, Tahouo O (2015). La pyriculariose du riz en Côte d'Ivoire: Bilan de 10 années de recherche. https://www.researchgate.net/ publication/283854227.

 

Butron A, Velasco P, Ordas A, Malvar R (2004). Yield evaluation of maize cultivars across environments with different levels of pink stem borer infestation. Crop Sci. 44:741-747.

 

CGIAR (2007). Global climate change: Can agriculture cope? Adapting Agricultural Systems to Climate Change. https://hdl.handle.net/10947/5509.

 

Ciyow Y (2019). Le long chemin de la Côte d'Ivoire vers l'autosuffisance en riz. Jounal le monde Afrique; https://www.lemonde.fr/afrique/article/2019/12/16/le-long-chemin-de-la-cote-d-ivoire-vers-l-autosuffisance-en-riz_6023093_3212.html.

 

Depieu ME, Doumbia S, Keli ZJ, Zouzou M (2010). Typologie des exploitations en riziculture pluviale de la région de Saïoua, en zone forestière de la Côte d'Ivoire. J. Appl. Biosci. 35:2260-2278.

 

Ding M, Tier B, Yan W, Wu HX, Powell MB, McRae TA (2008). Application of GGE biplot analysis to evaluate genotype (G), environment (E), and G × E interaction on pinus radiata: A case study. New Zealand J. For. Sci. 38(1):132-142.

 

Ezatollah F, Mahnaz R, Mohammad MJ, Hassan Z (2013). GGE biplot analysis of genotype x environment interaction in chickpea genotypes. Eur. J. Exp. Biol. 3(1):417-423.

 

Gauch H, Zobel R (1996). AMMI analysis of yield trials. In Genotype-by-environment interaction Kang Ms and Gauch H.G. (Eds.), New-york, USA: CRC Press. pp. 85-122.

 

IRRI (International Rice Research Institute) (2014). Standard Evaluation System for Rice (SES), 5th edition. Los Banos (Phillipines): International Rice Research.

 

Karimizadehi R, Mohtasham M, Sabaghn A, Mahmood B, Roustami B, Seyyedi F, Akbari F (2013). GGE Biplot Analysis of Yield Stability in Multi-environment Trials of Lentil Genotypes under Rainfed Condition. Notulae Sci. Biol. 5(2):256-262.

 

Khanzaden H, Asadi A, Mohammadi M, Ghojoh H, Armiyun TH (2017). Evaluation of adaptability in bread wheat genotypes under dryland conditions in tropical and subtropical locations. J. Res. Ecol. 5(2):948-957.

 

Kouakou PM, Muller B, Fofana A, Guisse A (2016). Performances agronomiques de quatres variétés de riz pluvial NERICA de plateau semées à différentes dates en zones Soudano-sahelienne au Sénégal. J. Appl. Biosci. 99:9382-9394.

 

Lakew T, Tariku S, Bitew TA (2014). Agronomic performances and stability analysis of upland rice genotypes in North West Ethiopia. Int. J. Sci. Res. Publ. 4(4):1-9.

 

Maji AT, Bashir M, Odoba A, Gbanguba AU, Audu SD (2015). Genotype x Environment interaction and stability estimate for grain yield of upland rice genotypes in Nigeria. J. Rice Res. 3(2):1-5.

 

Manneh B, Kiepe P, Sié M, Ndjiondjop M, Dramé NK, Traoré K, Rodenburg J, Somado EA, Narteh L, Youm O, Diagne A, Futakuchi K (2007). Exploiting Partnerships in Research and development to help African rice farmers cope with climate variability. J. SAT Agric. Res. SAT Ej. 4(1):1-24.

 

MINADER (2019). L'ADERIZ met en exergue les opportunités d'investissement dans la filière riz en Côte d'Ivoire. Conférence de presse au Salon International de l'Agriculture, Paris (France).

 

ONDR (2017). Office National de Développement de la Riziculture: Statistiques, production de riz. http://www.ondr.ci/statistique_ production.php. rmal" style="text-align:justify" 

 

Sié M, Manneh B, Zhao D, Venuprasad R, Bimpong K, Zenna N, Semon M, Fofana M, Silué D, Manful J, Van Oort P, Dieng I (2017). The Africa-wide Rice Breeding Task Force: a network for rapid deployment of superior rice varieties in Africa. International Workshop on Rice Breeding and Agribusiness in Rice Value Chain, December 4-8, St. Louis, Senegal.

 

Tariku S (2017). Evaluation of Upland Rice Genotypes and Mega Environment Investigation Based on GGE-Biplot Analysis. J. Rice Res. 5(3):1-7.

 

VSN International (2007). Genstat for windows 10th Edition. VSN International, Hemel. Hempstead, UK. Web page: Genstat.co.uk.

 

Yan W (2012). Data analysis and management system. GGE Biplot, Version 7.0.

 

Yan W, Tinker N (2006). Biplot analysis of multi-environment trial data: Principles and applications. Can. J. Plant. Sci. 86:623-645.

 

Yan W, Hunt L, Sheng Q, Szlavnics Z (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci. 40:597-605.

 

Yoshida S, Forno DA, Cook JH, Gomez KA (1976). Laboratory manual for physiological studies of rice. 3rd Edition, International Rice Research Institute, Los Banos, Philippines. p. 74.