PERFORMANCE OF SOYBEANS (GLYCINE MAX L.) AS AFFECTED BY PLANTING METHODS AND FERTILIZER TYPE IN 2018 AND 2019 RAINING SEASON AT BILLIRI, GOMBE STATE NIGERIA.

Authors

  • Paul Madina
  • J. I. Toho
  • H. G. Danlingi

DOI:

https://doi.org/10.33003/fjs-2021-0503-767

Keywords:

Planting, Methods, Performance and Fertilizer

Abstract

A field experiments was carried out during the rainy season of 2018 and 2019 Tal, Billiri in Gombe state, Nigeria. The aim of the experiment is to investigate the performance of soybeans as affected by planting methods and fertilizer type. The planting methods were; Drill (50kg/ha), Dibbling (Transplanted at 25 x 75cm) and Broadcast (50kg/ha). Fertilizer used were; NPK (40kgN, 80kg P, 20kg K), SSP (20kg P) NPK/SSP (Combination of NPK and SSP at 50kg N, 100kg P and 20kg K) and Control.  The treatments were laid in a randomized complete block design with three replications. The treatments were combined to have 10 plots in a block with 1 meter between the block and 0.5 meters within the plots. During the research growth characters were measured, other character like days of 50% flower, days of maturity, number of pod per plant, seeds per pod, 1000 seed weight and seed yield were also recorded. All the parameters studies have significantly (P≤0.05) responded to the both planting methods and fertilizer effects, where dill method was observed to perform higher in both growth character and grain yield. NPK/SSP fertilizer was significant in both growth, yield related character and over-all yield. 2019 rainy season all shows significant difference (P<0.05) in growth, yield and related characters when compared to 2018 rainy season.  Based on the result obtained it can be suggested that the use of Dibbling methods of planting and the application of NPK at 50kg/ha and NPK/SSP (40kgN, 80kg P, 20kg K) fertilizer will

References

Baltagi B.H. (2008). Econometric Analysis of Panel Data. Wiley Chichester

Baltagi, B. H., (2001) Econometric analysis of panel data. 2nded. New York, John Wiley

Bramati, M. C., Croux, C., (2007) Robust estimators for the fixed effects panel data model. Econometric Journal, 10, 521 – 540.

Crowder, D., Hand, D. (1990) Analysis of repeated measures. Chapman and Hall, London,

Davidson, R. and MacKinnon, J.G. (1993). Estimation and Inference in Econometrics. New York: Oxford University Press.

Furno, M. (1996). Small sample behavior of a robust heteroskedasticity consistent covariance matrix estimator. Journal of Statistical Computation and Simulation 54: 115-128.

Habshah M, Norazan MR, Rahmatullah Imon AHM (2009) The performance of diagnostic-robust generalized potentials for the identification of multiple high leverage points in linear regression. J. Appl. Stat. 36(5):507–520.

Habshah M., Muhammad S. & Jayanthi A. (2017) Robust Heteroscedasticity Consistent Covariance Matrix Estimator based on Robust Mahalanobis Distance and Diagnostic Robust Generalized Potential Weighting Methods in Linear Regression. Journal of Modern Applied Statistical Methods 17(1):17 DOI: 10.22237/jmasm/1530279855.

Habshah Midi & Sani Muhammad (2018) Robust Estimation for Fixed and Random Effect Panel Data Models with Different Centering Methods. Journal of Engineering and Applied Sciences 13(17): 7156-7161.

Habshah Midi, Muhammad Sani, Shelan Saied Ismaeel & Jayanthi Arasan (2021) Fast Improvised Influential Distance for the Identification of Influential Observations in Multiple Linear Regression. Sains Malaysiana, 50 (7) (2021): 2085-2094 http://doi.org/10.17576/jsm-2021-5007-22

Lim, H. A. and Habshah M. (2016) Diagnostic robust generalized potential based on index set equality (DRGP(ISE)) for the identification of high leverage points in linear models. Computational statistics, 31:859-877

Lima, V.M.C., Souza, T,C., Cribari-Neto, F. and Fernandes, G.B. (2009). Heteroskedasticity- robust inference in linear regressions. Communications in Statistics-Simulation and Computation 39: 194-206

Maronna, R, A., Martin, R.D and Yohai, V.J., (2006) Robust statistics: Theory and methods, John Wiley. New York, ISBN: 10: 0470010924, 436.

Mazlina A., Habshah M. (2015) Robust centering in the fixed effect panel data model. Pakistan. Journal Statistics, 31( 1) 33 – 48.

Muhammad Sani, Habshah Midi & Jayanthi Arasan (2019) Robust Parameter Estimation for Fixed Effect Panel Data Model in the Presence of Heteroscedasticity and High Leverage Points, ASM Science. Journal 12, Special Issue 1, 2019 for IQRAC2018, 227-238

Rana, S., Habshah M, and Imon AHMR (2012) Robust Wild Bootstrap for stabilizing the variance of Parameter Estimates in Heteroscedastic Regression Models in the Presence of Outlier; Mathematical Problem in Engineering, Article ID 730328. doi: 10.1155/2012/730328

Rousseeuw, P. J., B. C. Van Zomeren, (1990) Unmasking multivariate outliers and leverage points. Journal of the American Statistical Association, vol.85, pp. 633–639.

Visek, J.A. (2015) Estimating the model with fixed and random effects by a robust method, Methodology Computational Applied Probability 17, 999-1014.

Veradi,V. & Wagner, J. (2011) Robust estimation of linear fixed effects panel data model with an application to the exporter productivity premium. Journal of Economics and Statistics. 231(4) 546 – 557.

Published

2021-11-04

How to Cite

Madina, P., Toho, J. I., & Danlingi, H. G. (2021). PERFORMANCE OF SOYBEANS (GLYCINE MAX L.) AS AFFECTED BY PLANTING METHODS AND FERTILIZER TYPE IN 2018 AND 2019 RAINING SEASON AT BILLIRI, GOMBE STATE NIGERIA. FUDMA JOURNAL OF SCIENCES, 5(3), 399 - 406. https://doi.org/10.33003/fjs-2021-0503-767

Most read articles by the same author(s)