Chief EditorT. Mohapatra
Print ISSN 0367-8245
Online ISSN 0976-058X
NAAS Rating 5.20
Prediction of Nematode Population Dynamics using Weather Variables in Leguminous Crops
First Online 04-02-2021|
Methods: Nematode population index of a plant-parasitic nematode Tylenchorynchus was taken from two crops i.e. mung bean and crotalaria. The model was developed considering various weather variables to predict the population of the Tylenchorynchus in the fields of mung bean and crotalaria. Weather parameters such as maximum and minimum temperature, relative humidity, wind speed and sunshine hours were considered for developing the model for Tylenchorynchus population prediction. Stepwise regression method was applied to predict the nematode population.
Result: The regression analysis between estimated and observed values of Tylenchorynchus population gave the R2 value as 0.98 for mung bean and 0.87 for crotalaria. Well timed prediction can help the growers to apply the required management practices to make it beneficial economically. This method can be extended to predict the population buildup of other serious nematode pests of crops.
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