ISSN 2285-5785, ISSN CD-ROM 2285-5793, ISSN ONLINE 2285-5807, ISSN-L 2285-5785
 

MODELS OF QUANTITATIVE ESTIMATION OF SOWING DENSITY EFFECT ON MAIZE YIELD AND ITS DEPENDENCE ON WEATHER CONDITIONS

Published in Scientific Papers. Series A. Agronomy, Vol. LXIV, Issue 2
Written by Oleh KHARCHENKO, Serhii PETRENKO, Elina ZAKHARCHENKO, Mykola SOBKO, Svitlana MEDVID, Olena PSHYCHENKO

This paper is focused on dependence of corn yield on plant density at harvest time and the influence of weather conditions during crop growth period on the parameters of yield–factor response models. It is established that the main parameters of the models are significantly influenced by both moisture supply (precipitation and water productivity in the soil) and hydrothermal conditions (hydrothermal coefficient and moisture coefficient). The 2016-2018 years are characterized by quite close mathematical relationship (R2 =0.9672-0.99940) between the corn grain yield and sowing density. It was found the existing dependence of the model parameters on weather conditions and sufficiently high resistance of hybrid DS0493B to external conditions, since the deviation of the values of these conditions has turned out to be much greater than the deviation of the model parameters.

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