Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 10
Page No. 3422 - 3429

Predictive Analysis of the Effect of Tillage System on the Growth and Yield of Rice Plant under Lowland Plantation

Authors : C.O. Aremu, T.A. Olayanju, E.A. Alhassan, Ojo Adebiyi, Stephen Abolusoro, Henry Inegbedion, A.J. Asaleye, Ademiluyi Segun and Ake Modupe

Abstract: Empirical data and analysis of the effect of tillage techniques on the growth and yield of three varieties of rice under lowland farming were undertaken. Soil samples were taken up to a depth of 21 cm to obtain the soil characteristics and textural classification of the experimental site. The experimental data obtained were based on three varieties of rice namely FARO 52, FARO 44 and local rice type under three field preparation methods-no tillage flat field (A), tillage with shanti hydropower power tiller (China technology Model DF-121) (B) and tillage with Sawah eco-technology rice farming (serif) (Indonesian technology Quick G1000 Boxer) (C)). Requisite data gathered during the rice developmental stages such as days to flowering, days to maturity, number of tillers, panicle length, plant height and grain yield were statistically analysed to obtain predictive equations of the effect of the tillage techniques on the growth and yield of the rice varieties investigated. The soil analysis of the experimental site showed a sandy loam using USDA textural classification and the predictive results obtained showed a linear relationship between the investigated parameters. The research outcome can be a viable tool for future prediction of the effect of tillage techniques on the agronomic and yield characteristics of rice under lowland plantation.

How to cite this article:

C.O. Aremu, T.A. Olayanju, E.A. Alhassan, Ojo Adebiyi, Stephen Abolusoro, Henry Inegbedion, A.J. Asaleye, Ademiluyi Segun and Ake Modupe, 2019. Predictive Analysis of the Effect of Tillage System on the Growth and Yield of Rice Plant under Lowland Plantation. Journal of Engineering and Applied Sciences, 14: 3422-3429.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved