MODELING THE ONION YIELD RESPONSE TO DEFICIT IRRIGATION AND MULCH USING MULTIPLE REGRESSION MODEL IN SEMI-ARID NIGERIA
Effect of deficit irrigation, mulch practices, crop growth and water use parameters on the yield of Onion was modeled using a multiple linear regression model. The crop evapotranspiration, number of leaves, leaf height and canopy cover of the Onion were used as the independent variables. Onion bulb yield was the dependent variable under four mulching materials (rice straw, RM; wood shaving, WM; white synthetic plastic, SM and no mulch, NM) in the semi-arid region, of Nigeria. The regression analysis revealed that the independent variables in the model predicted the Onion bulb yield significantly (p < 0.05) under mulching conditions, while no mulch plots yielded no significance as indicated by the ANOVA statistic. The overall model degree of determination (r2) of the dependent variable of 0.97, 0.97, 0.98, and 0.81 were obtained under SM, WM, RM, and NM respectively indicating that the multiple regression model predicted the dependent variable satisfactorily. The co-efficient values show that the highest coefficient was obtained at the number of leaves (0.56) followed by crop evapotranspiration (0.33). It was observed that among the four multiple regression models developed, the model obtained with white synthetic plastic mulch produce a better yield. Thus, white synthetic plastic mulch conserved soil moisture thereby improving Onion bulb yield. When the models were tested, a slight overestimation of the Onion bulb yield at both mulched and no mulched regression models was observed as compared with the yield from the field. Therefore, the model obtained with white synthetic plastic mulch produces a better yield.
Adeniji, F.A., B.G. Umara, J.M. Dibal, and A.A. Amali (2013). Variation of infiltration rate with Soil texture. International Journal of Engineering and Innovative Technology (IJEIT) Vol. 3. Issue 2. pp. 454-455.
Buyukozturk, S (2002). Sosyal bilimler Icin Veri analiza el Kitabi. Ankara Pegem Yayincilk. ISBN 978-975-6802-74-8 DOI 10.14527/9789756802748, Ankara.
Crossman, Ashley. (2021). Linear Regression Analysis. Retrieved from https://www.thoughtco.com/linear-regression-analysis-3026704.
FAO, 1977. Guidelines for predicting crop water requirements by J. Doorenbos & W.O. Pruitt. FAO Irrigation and Drainage Paper No. 24. Rome.
Fereres E., M.A. Soriano (2007). Deficit irrigation for reducing agricultural water use. Journal of Experimental Botany, Volume 58, Issue 2, January 2007, Pages 147â€“159, https://doi.org/10.1093/jxb/erl165 DOI: https://doi.org/10.1093/jxb/erl165
Igbadun H. E., A. A. Ramalan and E. Oiganji (2012). Effects of regulated deficit irrigation and mulch on yield, water use, and crop water productivity of onion in Samaru, Nigeria. Agric Water Mgt. 109:162â€“169. DOI: https://doi.org/10.1016/j.agwat.2012.03.006
Khaledian, M.R., J .C. Mailhol, P. Ruelle, I. Mubarak, and S. Perret (2010). The impacts of direct seeding into mulch on the energy balance of the crop production system in the SE of France. Soil and Tillage Research s106(2): 218â€“226. DOI: 10.1016/j.still.2009.10.002. DOI: https://doi.org/10.1016/j.still.2009.10.002
Moore, D. S., W. I. Notz, & M. A. Flinger, (2013). The basic practice of statistics (6th ed.). New York, NY: W. H. Freeman and Company
Nagaz, K., M. M. Masmoudi and N. Ben Mechlia (2012). Yield Response of Drip Irrigated Onion under Full and Deficit Irrigation with Saline Water in Arid Regions of Tunisia. ISRN Agronomy Volume (2012), Article ID 562315, 8 pages http://dx.doi.org/10.5402/2012/562315. DOI: https://doi.org/10.5402/2012/562315
Patel, N. and T. B. Rajput (2013). Effect of Deficit Irrigation on Crop Growth, Yield and Quality of Onion in Subsurface Drip Irrigation. International Journal of Plant Production 7 (3), ISSN: 1735-6814 (Print), 1735-8043 (Online) www.ijpp.info Pelter
Sabo, A.A., M.S. Abubakar, M.D. Zakari, N.J. Shanono, A.N. Jibril, and U.K. Adamu (2021). Effect of organic materials on soil physio-chemical properties at Bayero University, Kano-Nigeria. Agricultural Engineering International: CIGR Journal, 23(3): 52-59. https://cigrjournal.org/index.php/Ejounral/article/view/6893/3669
Sen, R., A.T. Mondal, R. Brahma, and M. S. Khan (2006). Effect of different soil moisture regimes on the yield and yield components of onion, Bangladesh J. Sci. Ind. Res., 41 (1- 2), 2006, 109-112. DOI: https://doi.org/10.3329/bjsir.v41i1.280
Shanono, N.J., M.K. Othman, N.M. Nasidi and H. Ismaâ€™il (2012). Evaluation of Soil and Water Quality of Watari Irrigation Project in Semi-Arid Region, Kano, Nigeria. Proceedings of the 33rd National Conference and Annual General Meeting of the Nigerian Institute of Agricultural Engineers (NIAE) Bauchi. pp. 181 â€“ 186.
Shanono, N. J. (2019). Assessing the Impact of Human Behaviour on Reservoir System Performance Using Dynamic Co-evolution - A PhD Thesis Submitted to University of the Witwatersrand, Johannesburg. https://doi.org/http://wiredspace.wits.ac.za/handle/10539/29043
Shanono, N. J., Adamu, M. S., Nasidi, N. M., Zakari, M. D., Ismaâ€™il, H., & Halilu, A. G. (2015). Evaluation of Soil Water Characteristics-Hydraulic Property Calculator (SWC-HPC) Model at Thomas.pdf. Proceedings - 2nd Intâ€™l Interdisciplinary Conf. On Global Initiative for Integrated Dev. (IICDIID) 2015, Chukwuemeka Odumegwu University, Nigeria., 1158â€“1169.
Shanono, N. J., & Ndiritu, J. (2020). A conceptual framework for assessing the impact of human behaviour on water resource systems performance. Algerian Journal of Engineering and, 02(35â€“44). https://doi.org/http://dx.doi.org/10.5281/zenodo.3903787
Shanono, NJ, Abba, BS, Nasidi, NM (2022). Evaluation of Aqua-Crop Model Using Onion Crop under Deficit Irrigation and Mulch in Semi-arid Nigeria. Turkish Journal of Agricultural Engineering Research (TURKAGER), 3(1), 131-145. https://doi.org/10.46592/turkager.1078082 DOI: https://doi.org/10.46592/turkager.1078082
Tsegaye B., T. Bizuayehu, A. Wolde Michael Michael, and A. Mohammed (2016). Yield and yield components of onion (Allium cepa L.) as affected by irrigation scheduling and nitrogen fertilization at Hawassa area districts in Southern Ethiopia. Journal of Agricultural Science and Food Technology 2(2): 15â€“20.
Zakari, M.D., M.M. Maina, M.S. Abubakar, N.J. Shanono, I. Lawan, M.A. Tadda and N.M. Nasidi (2012). Design, Construction and Installation of Sprinkler Irrigation System. Bayero J. of Eng. and Tech. Vol. 7 (1 & 2) pp. 109 â€“ 117. https://www.bayerojet.com/wpcontent /uploads/journal/published_paper/volume-7/issue-1/bjet_OH4ednaS.pdf
Zakari, M. D., Audu, I., Shanono, N. J., Maina, M. M., Abubakar, M. S., & Mohammed, D. (2015). Sensitivity analysis of crop water requirement simulation model (CROPWAT (8.0) at Kano River Irrigation Project, Kano Nigeria. Proceedings for International Interdisciplinary Conference on Global Initiatives for Integrated Development (IICGIID 2015 Chukwuemka Odumegwu University, Igbariam Campus Nigeria), 502â€“510.
Zakari, M.D., N.N. Sani, A.A. Sabo, N.J. Shanono, D. Mohammed, S.E. Ahmadu, A. Ibrahim and N.M. Nasidi (2022a). Effect of Millet Chaff as Organic Amendment on Rice Yield in Sodic Soil - A Case Study of Thomas Irrigation Scheme in Kano, Nigeria. FUDMA Journal of Sciences 6(1), 68-80. https://doi.org/10.33003/fjs-2022-0601-820 DOI: https://doi.org/10.33003/fjs-2022-0601-820
Zakari, M.D., S. Auwal, A.A. Sabo, N.J. Shanono, A. Ibrahim, D. Mohammed, S.E. Ahmadu and N.M. Nasidi (2022b). CumulatÄ±ve Effect of RÄ±ce Straw Ash on SoÄ±l PhysÄ±cochemÄ±cal PropertÄ±es and YÄ±eld of Cucumber. Bayero J. of EngÄ±neerÄ±ng and Technology 17(2) pp 1 â€“ 9. https://www.bayerojet.com/wp-content/uploads/journal/published_paper/volume-17/issue-2/bjet_4LLUprC7.pdf
Copyright (c) 2022 FUDMA JOURNAL OF SCIENCES
This work is licensed under a Creative Commons Attribution 4.0 International License.
FUDMA Journal of Sciences