A model to predict the yield of determinate tomatoes

Abstract

A mathematical model for predicting the yield of tomato (Lycopersicon esculentum Mill.) under varying environmental conditions and management practices was developed and is given as Yp=YmXi∏j (1.0 - YRif) where Yp is the predicted yield, Ym is the maximum experimental yieid, and YRif is the yield reduction attributable to factor i at Stage j. Eight plant, environmental and management factors were included in the model. These consisted of nitrogen, phosphorus, potassium, temperature, solar radiation, water, bacterial wilt (Pseudomonas solanacearum Smith) and root-knot nematode (Meloidogyne incognita (Kofoid and White) Chitwood). The ability of the model to predict actual yield was tested using data from four field experiments with a total of 35 combinations of plant, environmental and management factors. The model accounted for 74% of the variability in tomato yields indicating its reliability. © 1992 Elsevier Science Publishers B.V. All rights reserved.

Source or Periodical Title

Scientia Horticulturae

ISSN

3044238

Page

89-105

Document Type

Article

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