Twenty two isolates were screened against soybean cultivar Monnetta. The mortality percent of different isolates ranged between 32-96%. Out of 22 isolates, the maximum mortality (96%) was observed in isolated I2 (Khamariya) and (95%) in isolated I10 (Seoni). These isolates were identified as highly virulent and again screened for these reactions on 77 soybean entries. Out of 77 entries tested. None of the entries were found resistant and moderately resistant for I2. Only two entries viz, JS 97-52, JS 93-05 reacted as moderately susceptible under disease grade 5, ten entries viz, NSO 383, RKS 52, Himso 1676, JS 20-18, MACS 1188, JS 209, NRC 76, RKS 39, JS 335 and JS 95-60 as susceptible (Grade 7) remaining 65 entries were found highly susceptible as under disease grade 9 against isolates I2. Similarly, none of the entries were found resistant and moderately resistant for I10. Two entries namely JS 97-52 and JS 93-05 were exhibited moderately susceptible reaction while nine soybean cultivars viz, KDS 321, NSO 383, RKS 52, Himso 1676, JS 20-18, JS 20 9, RKS 45, JS 335 and JS 95-60 showed susceptible reaction as disease grade 7. Remaining 66 entries were exhibited highly susceptible reaction against I10 isolates of R. bataticola.

Climate change would significantly affect many hydrologic systems, which in turn would affect the water availability, runoff, and the flow in rivers. The predicted intensification of hydrological cycle would change all of its constituents both in time and space domain. This is a long term phenomenon and the necessity is to understand the intensity of the effects on various aspects of water resources by way of scientific studies backed by the available field data. Therefore, in the present study, the impact of climate change on study area under different assumed plausible hypothetical scenarios has been studied. These scenarios were developed by increasing; temperature by 1, 2 and 30C; rainfall by 5, 10 and 15%; and then the combination of both. To carry out this analysis, Arc SWAT hydrological model has been investigated. It was found that slight change in climate may pose huge difference on the hydrological cycle and its component

The present investigation entitled “Studies on leaf spot of Aloe (Aloe vera) caused by Fusarium solani (Mart) sacc” was done for accessing symptoms of the pathogen including its isolation, purification and pathogenicity test. It also included the study of various factors favoring disease, Biochemical changes in aloe leaf, as influenced by fungal infection. In vitro evaluation of chemicals, botanicals and bio agents against F. solani was also done. Fusarium solani was observed to be associated with the symptoms on the leaves of Aloe vera and the leaf inoculation method was observed to be the best for the confirming the pathogenicity of causal agent. It was found that the fungus grew profusely at 300C and pH 8.0. Potato dextrose agar medium was observed to be the best for fugal growth. Carbendazim at 250,500 and 1000 ppm concentrations inhibited the fungal mycelium when amended with PDA. Garlic bulb extract was observed to most effective out of six botanicals tested. Similarly, T. harzianum inhibited the fungal growth to its maximum. Decreased concentrations of N, P, K, Cd, Ni, Zn, protein and aloin was observed due to infection where as concentration of Fe and Mn was increased. The concentration of Pb remained unchanged.

A field experiment was conducted during Kharif 2009 under AICRP of MSN at experimental farm of Department of Soil Science and Agricultural Chemistry, Jawaharlal Nehru Krishi Vishwa Vidhyalya, Jabalpur, Madhya Pradesh, India to find out high yielding and zinc efficient genotypes of rice in a Vertisols. The results revealed that the application of zinc @ 20 kg Zn ha-1 as basal +0.5% foliar spray of ZnSO4 was found positive and significant influence on grain yield (4.96 t ha-1) and Zn uptake (384.91 g ha-1) over control (4.04 t ha-1). Among the genotypes, the MTU-1010 was found superior in respect of grain yield (5.44 t ha-1).The highest uptake of Zn recorded by Kranti (350.35 g ha-1) but Swarna recorded the lowest (199.72 g ha-1). However, the cultivar ‘Shyamla’ recorded the highest yield as well as uptake efficiency index and found genetically efficient cultivar, while MTU-1010 was found as genetically inefficient and agronomically highly efficient cultivar.

The issue of food security is debated world over with increase in population and it has become important agenda in many of the international forums. Karnataka is one among the highly populated states of India on which the present study focused upon projecting the demand for major food grains (cereals and pulses) up to year 2020, by making use of district level cross-section data of 64th round consumer expenditure survey which is published by National Sample Survey Organization (NSSO) during 2007-08 which facilitated to capture the regional variation in composition of food basket. The demand estimates are derived based on growth of population, per capita income and income elasticity of demand. Engel curves like Log–inverse, Double–log, Log-log–inverse, Linear, Quadratic and Semi-log models were used for computing expenditure elasticities. The estimate of demand with respect to rice, wheat, jowar, ragi, gram, and tur by the end of 2016 found to be 42.9, 11.1, 7.2, 6.6, 0.46 and 5.3 lakh tons respectively and by the end of 2020 it was found to be 57.4, 14.2, 6.1, 6.8, 0.50 and 7.2 lakh tons respectively. These results may help policy makers of the state to narrow down the supply-demand gap of food grains under consideration.