Record Details

Development and Validation of Diagnostic KASP Markers for Brown Planthopper Resistance in Rice

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title Development and Validation of Diagnostic KASP Markers for Brown Planthopper Resistance in Rice
 
Creator RAHUL PATIL
D. M. NAGARAJ
B. S. POLISGOWDAR
SANTOSHA RATHOD
 
Subject ACF
PACF
SARIMA
PET
 
Description Not Available
The prediction of potential evapotranspiration (PET) is quite important task for reliable management of irrigation systems. This article is generally based on the models which try to mimic the actual occurrence of the Potential evapotranspiration in the future days for a Raichur district. In this study the potential evapotranspiration was estimated with the help of max and min temperature (°C) data using a Thornthwaite method and the prediction was carried out using the seasonal Autoregressive moving average method (SARIMA). The models were developed based upon autocorrelation function (ACF) and partial autocorrelation function (PACF). Furthermore, the model with the least Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC) values were selected. The models selected for different stations were ARIMA(2,0,2)(1,1,2)12, ARIMA(1,0,1)(2,1,0)12, ARIMA(1,0,1)(1,1,2)12 and ARIMA(1,0,1) (2,1,0)12 for Riachur, Manvi, Sindhanuru and Lingasuguru respectively. Furthermore, the results showed that the models developed for Manvi and Sindhanuru were found to be quite promising compared to the other two stations. All four models were found to be producing better results up to a lead time forecast of one month. The models provided significant potential in improving the decision making in irrigation planning and command area management practices for better management of water resources.
Not Available
 
Date 2023-02-16T07:28:27Z
2023-02-16T07:28:27Z
2022-06-22
 
Type Article
 
Identifier 12. Patil, R., Nagaraj, D. M., Polisgowdar, B. S., and Santosha Rathod. (2022). Forecasting potential evapotranspiration for Raichur district using seasonal ARIMA model. MAUSAM, Vol.73(2), 433–440. DOI: https://doi.org/10.54302/mausam.v73i2.5488
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/76227
 
Language English
 
Relation Not Available;
 
Publisher India Meteorological Department (IMD)