Showing papers in "Journal of Agrometeorology in 2018"

Regional level long-term rainfall variability assessment using Mann-Kendall test over the Odisha state of India.

Abstract: The climatic variability severely affects the environment, water availability, agriculture, food security, etc. particularly in the developing countries like India.In India rainfed agriculture covered about 68 per cent of the total cultivated area and more than 40 per cent of human and 60 per cent of livestock population (Sharma and Soni, 2006). It has been reported that there would be reduction in average runoff and water availability by 10-30 per cent during middle of this century. The frequency of rainfall showed the decreasing trend and the extreme events of rainfall showed the rising trends (Goswami et al.,2006). Patra et al. (2012) have reported the insignificant decline trend in annual and monsoon rainfall and the increasing trend in winter and summer season rainfallin Odisha state. While Attri et al. (2018) have shown non-significant increasing trend in rainfall in arid region of India.

Trend analysis and change point detection of rainfall of Andhra Pradesh and Telangana, India.

Abstract: Rainfall and temperature are the key elements of weather systems due to their temporal and spatial variability at different scales. Hence, analysis of their behaviour is vital for understanding of climate variability. Rainfall is the most important climate parameter which has direct effect on crop growth and yield under rainfed condition. Among the total cultivated area in Andhra Pradesh and Telangana, 50 to 63 per cent of the area is rainfed. Long term weather analysis are useful in deciding future directions and/or alterations required in existing system for sustainable crop production. Various parametric and non-parametric tests have been used for trend analysis of hydro-meteorological time series variables such as rainfall. Time series data of such variables have missing values, zero values, non-normal distribution which limit application of parametric tests. Mann-Whitney test, Kruskal-Wallis, Mood’s median test, etc. are some of the non-parametric tests usually employed for trend analysis (Kisi and Ay, 2014). Such tests have been applied by various workers for Indian region (Yadav et al., 2014; Lunagaria et al.,2012 and Prabhakar et al., 2017).

Estimation of crop evapotranspiration and crop coefficients of rice (Oryza sativa L.) under low land condition.

Abstract: An attempt has been made to estimate the crop evapotranspiration (ETc) and Kc under alternate wetting and drying method (AWD) of water management of rice (Oryza sativa L.) under lowland condition during 2013 and 2014 at Rajendranagar, Hyderabad. The average seasonal ETc was highest in continuous submergence (Cs) of 3-cm depth from transplanting to panicle initiation (PI) and 5-cm from PI to physiological maturity (PM) (657.8 mm) followed by AWD irrigation regimes of flooding to a water depth of 5-cm between15 DAT to PM and when ponded water level drops to 5-cm below ground level in field water tube (628 mm). The results suggested that the roots of rice were able to extract adequate amount of water to satisfy its ETc needs for 2-7 days in different treatments of AWD. The mean crop coefficien t values worked out were 1.35, 1.59, 1.81 and 1.33 at initial establishment stage, vegetative and panicle initiation stage, at panicle development stage and at ripening and maturity stage.