A weather-based forecast model for capsule rot of small cardamom

被引：0

作者：

Goswami, Prashant ^{[1
]}

Goyal, Renu ^{[1
]}

Rao, E. V. S. Prakasa ^{[1
]}

Ramesh, K. V. ^{[1
]}

Sudarshan, M. R. ^{[2
]}

Ajay, D. ^{[2
]}

机构：

[1] CSIR Ctr Math Modelling & Comp Simulat, Bangalore 560037, Karnataka, India

[2] Indian Cardamom Res Inst, Myladumpara 685553, India

来源：

CURRENT SCIENCE | 2014年 / 107卷 / 06期

关键词：

Capsule rot disease; forecasting; meteorological variables; small cardamom; INDIA; EPIDEMIOLOGY; VARIABLES; BRASSICA;

D O I：

暂无

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Small cardamom is an economically important spice crop. However, cardamom is susceptible to several diseases that significantly reduce yield. Proactive prevention of these diseases based on advance warning can enhance the efficiency of disease control and reduce environmental load of pesticides. Many of these diseases are governed by weather variables (for example, through control of fungal growth). This work presents a disease (capsule rot of cardamom) forecast model based on a set of meteorological variables. While no single weather variable provides successful simulation, an optimal combination of weather variables provides sufficient skill for advance warning of the disease.

引用

页码：1013 / 1019

页数：7

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