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Drought stress induces a range of physiological changes in plants, including oxidative damage. Ascorbic acid (AsA), commonly known as vitamin C, is a vital non-enzymatic antioxidant capable of scavenging reactive oxygen species and modulating key physiological processes in crops under abiotic stresses like drought. Chickpea ( Cicer arietinum L.), predominantly cultivated in drought-prone regions, offers an ideal model for studying drought tolerance. We explored the potential of AsA phenotyping to enhance drought tolerance in chickpea. Using an automated phenomics facility to monitor daily soil moisture levels, we developed a protocol to screen chickpea genotypes for endogenous AsA content. The results showed that AsA accumulation peaked at 30% field capacity (FC)—when measured between 11:30 am and 12:00 noon—coinciding with the maximum solar radiation (32 °C). Using this protocol, we screened 104 diverse chickpea genotypes and two control varieties for genetic variability in AsA accumulation under soil moisture depletion, identifying two groups of genotypes with differing AsA levels. Field trials over two consecutive years revealed that genotypes with higher AsA content, such as BDNG-2018-15 and PG-1201-20, exhibited enhanced drought tolerance and minimal reductions in yield compared to standard cultivars. These AsA-rich genotypes hold promise as valuable genetic resources for breeding programs aimed at improving drought tolerance in chickpea.

In India regarding 70% of population depends upon farming and one third of the nation's capital comes from farming. Problems regarding agriculture are continually prevent active the event of the country. The sole answer to the present downside is wise agriculture by modernizing the current ancient ways of agriculture. Therefore the paper aims at creating agriculture sensible mistreatment automation and IoT technologies. The Wireless Sensors Network (WSN) is wide wont to build call support systems. The main advantage is implementation of WSN in Precision Agriculture (PA) can optimize the usage of water fertilizers whereas increasing the yield of the crops and conjointly can facilitate in analyzing the climatic conditions of the sector. This system includes varied options like GPS primarily based remote controlled observation, wet & temperature sensing, intruders scaring, security, leaf condition and correct irrigation facilities. It makes use of wireless sensing element networks for noting the soil properties and environmental factors ceaselessly.

Aim: To observe the 28 and 90 days mortality associated with prone position and assist control-pressure control (with inverse ratio) ventilation (ACPC-IRV). Materials and Methods: All patients who were admitted to our medical Intensive Care Unit (ICU) who are positive for H1N1 viral infection with severe acute respiratory distress syndrome (ARDS) and requiring invasive mechanical ventilation in prone position were included in our prospective observational study. Six patients who are positive for H1N1 required invasive ventilation in prone position. These patients were planned to ventilate in prone for 16 h and in supine for 8 h daily until P/F ratio >150 with FiO 2 of 0.6 or less and positive end-expiratory pressure <10 cm of H 2 O. Results: At admission, among these six patients the mean tidal volume generated was about 376.6 ml which was in the range of 6-8 ml/kg predicted body weight. The mean lung injury score was 3.79, mean PaO 2 /FiO 2 ratio was 52.66 and mean oxygenation index was 29.83. The mean duration of ventilation was 9.4 days (225.6 h). The ICU length of stay was 11.16 days. There was no mortality at 28 and 90 days. Conclusion: Early prone combined with ACPC-IRV in H1N1 patients having severe ARDS can be used as a rescue therapy and it should be confirmed by large observational studies.