DBPapers
DOI: 10.5593/SGEM2015/B32/S13.006

APPLIED MULTIPLE REGRESSION ANALYSIS ON TOMATO YIELD

D. Moigradean, D. M. Bordean, M. A. Poiana, I. Pet, E.Pet
Wednesday 23 September 2015 by Libadmin2015

References: 15th International Multidisciplinary Scientific GeoConference SGEM 2015, www.sgem.org, SGEM2015 Conference Proceedings, ISBN 978-619-7105-37-7 / ISSN 1314-2704, June 18-24, 2015, Book3 Vol. 2, 41-48 pp

ABSTRACT
The goal of our study was to establish, by multiple regression analysis of variance, the influence of the NPK mineral fertilization on tomato yield. A field experiment was using two tomatoes samples in different precocity steady (Export II and Ace Royal) cultivated in Romanian west area. The study was performed on control soil samples (without fertilizers) and soil samples after differentiated NPK fertilization in variable doses: N30P30K30, N45P45K45, N60P60K60 and N120P60K60. The tomato yield increases with the fertilization doses. Multiple regression analysis of variance on the influence of fertilization on the yield of Export II cultivar show that 93.38% of the production variability is due to the influence of these three macronutrients (NPK) while the yield of Ace Royal cultivar the percentage is 96.38%. The nitrogen fertilization has a major influence distinctly significant on achieving production, while the fertilization with potassium is lower but superior to phosphorus fertilization for two tomato cultivars. Most often, the estimated tomato production does not correspond with real production; that is our case. For example, the highest estimated tomato yield (39.48 t/ha) is obtained at the optimal nitrogen dose of 108 kg/ha for Ace Royal variety while the highest real production (45.90 t/ha) was obtained to 120 kg N/ha.

Keywords: Solanum lycopersicum, mathematical model, mineral fertilization

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