Effect of Different Planting Densities and Irrigation Managements on Rice (Tarom Hashemi Variety) Yield and Yield Components in Kooshal Lahijan Region, Guilan Province

Document Type : Research Paper

Authors

1 Water Sci. and Eng. Dept., College of Agriculture and Natural Resources, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Water Engineering Department, Islamic Azad University - Lahijan Branch, Lahijan, Iran

Abstract

. In order to study the effect of different irrigation managements and planting densities on Tarom Hashemi cultivar, an experiment was conducted in a randomized complete block design (RCBD) with three replications at Koshal-Lahijan in north of Iran during cropping seasons of 2014 and 2015. There were 5 levels of irrigation treatments in this research including: I1 = Full irrigation, I2 = Saturation, I3 = Irrigation with 8 days alternative before anthesis, I4 = Irrigation with 8 days alternative after anthesis, I5= Irrigation with 8 days alternative whole growth season) and there were 3 levels of density including, D1=15×15, D2=20×20, D3=25×25cm. Evaluation of calculated and measured yield was done with adjusted coefficient of correlation; T test of means; and by absolute and normalized root mean square errors (RMSE). Combined variance analysis showed that the effect of irrigation treatment and plant density on measured traits were significantly different (p<0.01). Irrigation with 8 days alternative before anthesis with only 4.88 percent yield reduction could be accounted as a treatment with maximum water use efficiency in all treatments while it saved 13.6 percent of water consumption. There was positive correlation between Grain yield and Total number of panicles, Number of tillers but there was negatively correlated with the Number of filled grains per panicle. According to results it is possible to predict rice production function under conditions of water deficit in different densities using 1000-grain weight, Total number of panicles, Number of filled grains per panicle. Quadratic equation on the one hand with the lowest root mean square error and the lowest normalized root mean square error and on the other hand with the highest correlation indicated best simulation in calibration process. In addition the amount of error in the validation process reduced so the quadratic production function would be recommended.

Keywords

Main Subjects

References

Amiri, E. (2006). Investigation of water balance and rice yield under irrigation management whit model, (modeling and field experiments). PhD Thesis. Islamic Azad University, Tehran Science & Research Branch, Iran. 181 pp. (In Farsi).
Amiri, E., Kavoosi, M., Kaveh, F. (2009). Evaluation of Crop Growth Models ORYA2000, SWAP and WOFOST under Different Types of Irrigation Management. Journal of agricultural engineerin research. 1(3):13-28. (In Farsi)
Amiri, E., Razavipour, T., Farid, A  & Bannayan, M. (2011). Effects of Crop Density and Irrigation Management on Water Productivity of Rice Production in Northern Iran: Field and Modeling Approach, Communications in Soil Science and Plant Analysis, 42,17, 2085-2099
Asghar, A., A. Tanveer., M.A. Choudhry., R. Sohail., and M.M. Akram. (2001). Growth and yield response of rice bean (Vigna umbellata) to different seeding rates and planting patterns. Pakistan. J. Biological Sci. 4(4),460-461.
Awan, T.H., Sta. P.C. Cruz., and B.S. Chauhan. (2014). Ecological significance of rice (Oryza sativa L.) planting density and nitrogen rates in managing the growth and competitive ability of itchgrass (Rottboellia cochinchinensis) in directeseeded rice systems. J. Pest Sci. 88(2), 427-438.
Baloch, A.W., A.M. Soomro., M.A. Javed., M. Ahmad., H.R. Bughio., and M.S. Bughio. (2002). Optimum plant density for high yield in rice (Oriza Sativa L.). Asian. J. Plant Sci. 1(2), 114-116. 
Chamara, B.S., B. Marambe., and S. Bhagirath. (2016). Management of Cleome rutidosperma DC. using high crop density in dry-seeded rice. Crop Prot. 1-9.
Chauhan, B.S., and D.E. Johnson. (2011). Ecological studies on Echinochloa crus-galli and the implications for weed management in direct-seeded rice. Crop Prot. 30,1385-1391.
Clerget, B., C. Buenob., A.J. Domingob., H.L. Layaoenb., and L. Vialb. (2016). Leaf emergence, tillering, plant growth, and yield in response to plant density in a high-yielding aerobic rice crop. Field Crops Res. 199:52–64.
Dehghani, H., A. Alizadeh, and S.A. Haghayeghi. (2011). Water Balance Components Estimating in Farm Scale Using Simulation Model SWAP (Case Study: Neyshabur Region).Journal of Water and Soil. 24(6): 1265-1275. (In Farsi)
Gill, J. S. Walia, S. S and Gill, R. S (2014). Direct seeded rice: An alternative rice establishment technique in north-west India – A review. International Journal of Advanced Research. 2 (3), 375-386.
Jayawardena, S.N., and Abeysekera, S.W. (2002). Effect of plant spacing on the yield of hybrid rice. Annals of the Sri Lanka Department of Agriculture. 4, 15-20.
Murumkar, R.P. Dongarwar, U.R. Phad D.S. Borkar, B.Y. and Pisalkar, P.S. (2014). Performance testing of four row self propelled paddy transplanter. International Journal of Science, Environment and Technology, 3 (6) 2015-2019.
Pan, J., Y. z. Liu., X. Zhong., R. M. Lampayan., G.R. Singleton., N. Huang., K. Liang., B. Peng., and K. Tian. (2017). Grain yield, water productivity and nitrogen use efficiency of rice under different water management and fertilizer-N inputs in South China. Agric. Wat. Manage., 184:191–200.
Rezaei M, Nahvi M. (2007). Effect of different irrigation management methods on water use efficiency and rice yield. Agriculture Science 1: 15-25.
Roderick, M., Florencia, G. R., Rodriguez, G. D. P., Lampayan R.M., and B.A.M. Bouman. (2011). Impact of the alternate wetting and drying (AWD) water-saving irrigation technique: Evidence from rice producers in the Philippines. Food Policy. 36(2): 280-288.
Tarahomi, G., M. Lahuti., and F. Abasi. (2010). Effects of drought stress on changes in soluble carbohydrates, chlorophyll and potassium in Salvia lerifol Benth. j. Bio. Sci. I. A. U. Z. 3:1-7.
Iranian Journal of Soil and Water Research
Volume 49, Issue 2
May and June 2018
Pages 377-383

Files

Share

How to cite

Statistics