Predicting the severity of Spodoptera litura on groundnut in relation to climatic variability using ordinal logistic model

In this paper, an ordinal logistic regression model was developed for predicting the severity of tobacco caterpillar, Spodoptera litura (Fabricius) on groundnut using the pest dynamics vis a vis climatic data of twenty five years (1990-2014) pertaining to Kharif (26 to 44 standard meteorological we...

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Autores principales:	GIRISH K. JHA, GAJAB SINGH, S. VENNILA, M. SRINIVASA RAO, H. PANWAR, M. HEGDE
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Association of agrometeorologists 2016-12-01
Colección:	Journal of Agrometeorology
Materias:	Trend analysis Mann-Kendall test Ordinal logistic model proportional odds model Spodoptera litura
Acceso en línea:	https://journal.agrimetassociation.org/index.php/jam/article/view/951
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