Peach (Prunus persica L.) fruits exhibit limited postharvest shelf and storage life due to rapid softening. Therefore, in the present study effect of cold storage was investigated on postharvest chilling injury (CI) and fruit quality during ripening following cold storage on five peach cultivars including ‘Peach Select No. 3’ (PS-3), ‘Florida Gold’ (FG) and ‘Florida King’ (FK) as early season maturing, and ‘Indian Blood’ (IB) and ‘Maria Delezia’ (MD) as late season maturing cultivars. Peach fruits harvested at commercial maturity were ripened at ambient conditions following cold storage for 0, 10 and 20 days at 0±1 °C with 80±5% RH. Data regarding peach fruit quality parameters and incidence of CI were recorded at fully ripe eating soft stage. Results indicated that apart from the cultivars, fruit weight loss, levels of soluble solid content (SSC) and sugars increased as the storage period was progressed. However, fruit firmness, titratable acidity (TA), and ascorbic acid content significantly reduced during cold storage. Among early season maturing peach cultivars, fruits of ‘FG’ and among late season maturing peach cultivars, fruits of ‘MD’ showed better postharvest shelf life and fruit quality during ripening following cold storage. The highest SSC and SSC: TA ratio were observed in ‘FG’ peach fruits; however, these fruits exhibited 50% and 75% CI after 10 and 20 days of cold storage, respectively. During first 10 days of cold storage, ‘PS-3’ peach fruits showed better taste with higher fruit firmness and ascorbic acid content, however, later on the highest level of CI was observed in these fruits. Among all the tested peach cultivars, the ‘IB’ peach fruits showed higher fruit firmness, lower weight loss, as well as acceptable biochemical fruit quality (SSC, SSC; TA, ascorbic acid content, total sugars) during 20 days of cold storage without showing any symptoms of CI.

Reliable and timely information regarding area under wheat and its yield prediction can help in better management of the commodity. The remotely sensed data especially in combination with Geographic Information System (GIS) can provide an important and powerful tool for both, land use land cover (LULC) classification and crop yield prediction. The study objectives include LULC classification and wheat yield prediction. The study was conducted for Rabi Season from Nov. 2011 to April 2012, in the command area of three distributaries i.e. Khurrian Wala, Killian Wala and Mungi of Lower Chennai Canal (LCC) system. The Landsat-7 imagery data with spatial resolution of 30 m was used for this study. Physical features were monitored and assessed using Normalized Difference Vegetative Index (NDVI). LULC classification was done for wheat and non-wheat area which shows wheat proportion and area 87.22% and 28867.95 Ha in Khurrian wala, 71.07% and 22423.20 Ha in Killian Wala and 79.18% and 17974.34 Ha in Mungi distributary, respectively. The correlation values between maximum NDVI value and yield data were 0.45, 0.36 and 0.39 for Khurrian Wala, Killian Wala and Mungi distributary, respectively. On the basis of this correlation, average wheat yield was estimated as 3.48 T/Ha, 3.83 T/Ha and 3.80 T/Ha for Khurrian Wala, Killian Wala and Mungi distributary, respectively.

Objectives:To evaluate the frequency of early remodeling in patients of severe aortic regurgitation after aortic valve replacement and to see the incidence of early remodeling in patients with stroke volume >97 ml versus < 97 ml before aortic valve replacement.Method:This was a prospective comparative study conducted from August 2013 to December 2014 in a tertiary care hospital. Fifty seven (57) patients of isolated chronic aortic regurgitation were included in this study. SPSS v23 was used for data analysis. Independent sample t-test was used for analysis of continuous variables and chi-square test for qualitative variables.Results:Out of fifty seven patients, early remodeling occurred in 34 (59.64%) patients after surgery. The mean pre-operative stroke volume of patient in whom remodeling occurred was 110.3+9.66 ml while mean pre-operative stroke volume of patients who did not undergo remodeling was 86.65+7.63 ml. There were 28 (82.4%) patients with stroke volume >97 ml in whom Remodeling occurred where as in patients with stroke volume <97 ml remodeling occurred only in 6 (17.6%) patients (p value 0.004). There was no in-hospital mortality.Conclusion:There is an association between stroke volume and early LV remodeling after Aortic valve replacement. Stroke volume >97 ml is a good predictor of early LV remodeling.