Volume 20, Issue 3, June 2017, Pages 792–803
Kouassi Amani1, Tao Li2, Amadou Touré3, Gbakatchétché Henri4, Bouet Alphonse5, N'Zue Kouakou Augustin6, Kouame Brou7, N'Guessan Angelo8, and Goula Bi Tié Albert9
1 Unité de Formation en Sciences et Gestion de l'Environnement, Laboratoire Géosciences et Environnement, Université Nangui Abroguoua 02 BP 800, Abidjan, Côte d'Ivoire
2 Crop and Environment Science Division, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines
3 AfricaRice Research Center, Station of Mbé, 01 B.P. 2551, Bouaké 01, Côte d'Ivoire
4 Centre National de Recherche Agronomique (CNRA), Km 17 Route de Dabou, 01 BP 1740 Abidjan 01, Côte d'Ivoire
5 Centre National de Recherche Agronomique (CNRA), Km 17 Route de Dabou, 01 BP 1740 Abidjan 01, Côte d'Ivoire
6 Direction de la Météorologie Nationale, Société de Développement et d'Exploitation Aéronautique, Aéroportuaire et Météorologique (SODEXAM), 15 Bp 990 Abidjan 15, Côte d'Ivoire
7 Centre National de Recherche Agronomique (CNRA), Km 17 Route de Dabou, 01 BP 1740 Abidjan 01, Côte d'Ivoire
8 Centre National de Recherche Agronomique (CNRA), Km 17 Route de Dabou, 01 BP 1740 Abidjan 01, Côte d'Ivoire
9 Unité de Formation et de Recherche en Sciences et Gestion de l'Environnement (UFR-SGE) Université Nangui Abroguoua, 02 BP 801, Abidjan, Côte d'Ivoire
Original language: English
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The increasing rainfall variability in West Africa is a great challenge for crop productivity in small-scale farming systems, thus jeopardizing food security. Rainfed rice is particularly sensitive to inconsistent rainfall, especially during the reproductive stage. It is, therefore, necessary to develop management practices suited to the change of rainfall pattern over the growth seasons. In this study, the modeling technology with the rice model ORYZA (v3) was used to identify appropriate rainfed rice growing seasons for a better adaptation of farmers to climate variability. The potential yields, the favorable sowing periods, the optimum sowing dates, and the attainable yields of two contrasted cultivars were determined. After successfully calibrating and validating the model, it predicted potential yields of 5.5 to 6.5 tons/ha for the early maturing variety WAB56-104 (90-100 days), while potential yields of 4 to and 5.5 tons/ha was predicted for the late maturing variety CG14 (115-125 days). In rainfed conditions, two favorable sowing periods were identified from the model scenario analysis. The first period spans from late February to late April and the second from late July to early September. Farmers can double their actual yield of 1.5 tons/ha if they follow the recommended sowing dates and good agricultural practices. Indeed, the yield of 3.5 tons/ha was found with the variety WAB 56-104 sown on around 16 April in San-Pedro and around 2 April in Dimbokro. The yield of 3 tons/ha for the variety CG14 could be achieved if the sowing is done on around 18 March in San-Pedro and around 21 March in Dimbokro.
Author Keywords: Côte d'Ivoire, rainfed rice, rainfall variability, adaptation, modeling, ORYZA (v3).
Kouassi Amani1, Tao Li2, Amadou Touré3, Gbakatchétché Henri4, Bouet Alphonse5, N'Zue Kouakou Augustin6, Kouame Brou7, N'Guessan Angelo8, and Goula Bi Tié Albert9
1 Unité de Formation en Sciences et Gestion de l'Environnement, Laboratoire Géosciences et Environnement, Université Nangui Abroguoua 02 BP 800, Abidjan, Côte d'Ivoire
2 Crop and Environment Science Division, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines
3 AfricaRice Research Center, Station of Mbé, 01 B.P. 2551, Bouaké 01, Côte d'Ivoire
4 Centre National de Recherche Agronomique (CNRA), Km 17 Route de Dabou, 01 BP 1740 Abidjan 01, Côte d'Ivoire
5 Centre National de Recherche Agronomique (CNRA), Km 17 Route de Dabou, 01 BP 1740 Abidjan 01, Côte d'Ivoire
6 Direction de la Météorologie Nationale, Société de Développement et d'Exploitation Aéronautique, Aéroportuaire et Météorologique (SODEXAM), 15 Bp 990 Abidjan 15, Côte d'Ivoire
7 Centre National de Recherche Agronomique (CNRA), Km 17 Route de Dabou, 01 BP 1740 Abidjan 01, Côte d'Ivoire
8 Centre National de Recherche Agronomique (CNRA), Km 17 Route de Dabou, 01 BP 1740 Abidjan 01, Côte d'Ivoire
9 Unité de Formation et de Recherche en Sciences et Gestion de l'Environnement (UFR-SGE) Université Nangui Abroguoua, 02 BP 801, Abidjan, Côte d'Ivoire
Original language: English
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The increasing rainfall variability in West Africa is a great challenge for crop productivity in small-scale farming systems, thus jeopardizing food security. Rainfed rice is particularly sensitive to inconsistent rainfall, especially during the reproductive stage. It is, therefore, necessary to develop management practices suited to the change of rainfall pattern over the growth seasons. In this study, the modeling technology with the rice model ORYZA (v3) was used to identify appropriate rainfed rice growing seasons for a better adaptation of farmers to climate variability. The potential yields, the favorable sowing periods, the optimum sowing dates, and the attainable yields of two contrasted cultivars were determined. After successfully calibrating and validating the model, it predicted potential yields of 5.5 to 6.5 tons/ha for the early maturing variety WAB56-104 (90-100 days), while potential yields of 4 to and 5.5 tons/ha was predicted for the late maturing variety CG14 (115-125 days). In rainfed conditions, two favorable sowing periods were identified from the model scenario analysis. The first period spans from late February to late April and the second from late July to early September. Farmers can double their actual yield of 1.5 tons/ha if they follow the recommended sowing dates and good agricultural practices. Indeed, the yield of 3.5 tons/ha was found with the variety WAB 56-104 sown on around 16 April in San-Pedro and around 2 April in Dimbokro. The yield of 3 tons/ha for the variety CG14 could be achieved if the sowing is done on around 18 March in San-Pedro and around 21 March in Dimbokro.
Author Keywords: Côte d'Ivoire, rainfed rice, rainfall variability, adaptation, modeling, ORYZA (v3).
How to Cite this Article
Kouassi Amani, Tao Li, Amadou Touré, Gbakatchétché Henri, Bouet Alphonse, N'Zue Kouakou Augustin, Kouame Brou, N'Guessan Angelo, and Goula Bi Tié Albert, “Rainfed rice management adaptation to the increased climate variability in Côte d'Ivoire: application of ORYZA (v3) model to the bimodal areas of San-Pedro and Dimbokro,” International Journal of Innovation and Applied Studies, vol. 20, no. 3, pp. 792–803, June 2017.
