Forecasting milk production in Tamilnadu

Tamilnadu, with a daily milk production of 145.88 lakh litres, is one of the leading states in milk production in India. And the Tamilnadu milk cooperatives play a major role in the development dairy within the state. This study aims at forecasting milk production in Tamilnadu, based on data on milk production during the years from 1978 to 2008. The study considered Autoregressive (AR), Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) processes to select the appropriate stochastic model for forecasting milk production in Tamilnadu. Based on ARIMA (p, d, q) and its components ACF, PACF, Normalized BIC, Box-Ljung Q statistics and residuals estimated, ARIMA (1, 1, 0) was selected. Based on the chosen model, it could be predicted that the milk production would increase to 7.15 million tons in 2015 from 5.96 million tons in 2008 in Tamilnadu

Forecasting Fish Product Export in Tamilnadu – A Stochastic Model Approach

This study aims at forecasting fish product export in Tamilnadu, based on data on inland and marine fish product export during the years from 1969 to 2008. The study considered Autoregressive (AR), Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) processes to select the appropriate stochastic model for forecasting fish product export in Tamilnadu. Based on ARIMA (p, d, q) and its components ACF, PACF, Normalized BIC, Box-Ljung Q statistics and residuals estimated, ARIMA (0, 1, 2) was selected. Based on the chosen model, it could be predicted that the fish product export would increase to 1, 14,695 tons in 2015 from 74,549 tons in 2008 in Tamilnadu

Utility of Magnetic Resonance Imaging in the Diagnosis of Placenta Accreta

Background: Placenta accrete is one of the causes of postpartum hysterectomy. Accurate prenatal diagnosis can aid in its management. Objectives: To evaluate the diagnostic accuracy of magnetic resonance imaging (MRI) in the diagnosis of placenta accrete. Methods: This prospective observational study was conducted in the department of radiodiagnosis at Sri Ramachandra Institute of Higher education and research from April 2014 to September 2017. The study included 27 patients with suspected placenta accreta based on prenatal sonography or in conclusive sonogram or at high risk for placenta accrete. Placenta accreta findings as per MRI were compared with clinical findings at delivery. Data were analyzed by using coGuide software, V.1.03. Results: Out of 27 participants, 70.4% were in the age group of 21 to 30 years, 9(33.33%) participants were second and third gravida, respectively, and 21(77.78%) were in >36 weeks of gestational age. Among the study participants, 70.4% (19/27) had positive findings in MRI for placenta accrete, and 40.74% (11/27) had positive clinical findings. In MRI findings, 9(81.8%) had Indistinct myometrium, and 6 (54.55%) had T2 bands. The total diagnostic accuracy of MRI findings for placenta accreta was 70.37%. Conclusion: MRI has a sensitivity of 100% and specificity of 50% in diagnosing placenta accreta. The overall diagnostic accuracy was 70.37%. Hence, MRI in the antenatal period can be used in diagnosing placenta accreta in a high-risk population

Utility of Magnetic Resonance Imaging in the Diagnosis of Placenta Accreta

Background: Placenta accrete is one of the causes of postpartum hysterectomy. Accurate prenatal diagnosis can aid in its management. Objectives: To evaluate the diagnostic accuracy of magnetic resonance imaging (MRI) in the diagnosis of placenta accretaMethods: This prospective observational study was conducted in the department of radiodiagnosis at Sri Ramachandra Institute of Higher education and research from April 2014 to September 2017. The study included 27 patients with suspected placenta accreta based on prenatal sonography or inconclusive sonogram or at high risk for placenta accrete. Placenta accreta findings as per MRI were compared with clinical findings at delivery. Data were analyzed by using coGuide software, V.1.03. Results: Out of 27 participants, 70.4% were in the age group of 21 to 30 years, 9(33.33%) participants were second and third gravida, respectively, and 21(77.78%) were in >36 weeks of gestational age. Among the study participants, 70.4% (19/27) had positive findings in MRI for placenta accrete, and 40.74% (11/27) had positive clinical findings. In MRI findings, 9(81.8%) had Indistinct myometrium, and 6 (54.55%) had T2 bands. The total diagnostic accuracy of MRI findings for placenta accreta was 70.37%.Conclusion: MRI has a sensitivity of 100% and specificity of 50% in diagnosing placenta accreta. The overall diagnostic accuracy was 70.37%. Hence, MRI in the antenatal period can be used in diagnosing placenta accreta in a high-risk population

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Not AvailableAgriculture, livestock and fisheries sector plays crucial role in transforming and developing economies along with their contributory role in food security to the rural populations of the developing countries. They also face critical issues concerning climate change, anthropogenic interventions, unsustainable development practices and lack of innovative approaches. In India agriculture sector is considered to be the backbone along with livestock and fisheries with millions of stakeholders dependent. Particularly, Island groups such as Andaman, Nicobar and Lakshadweep are unique biodiversity hotspots. Owing to very unique ecosystems, these islands gain more attention as customary tourism hotspot. Rising tourism increases the exposure of these islands, demanding more production from agriculture and allied sectors. Tourism sector is mostly concentrated on coral reefs and mangrove ecosystems which harbors more than 80% of the fish diversity and are also more affected by extreme events. More importantly these islands are also considered to be free from several deadly diseases in livestock and fisheries sectors. The challenging scenario emerged due to climate change, increasing tourism, reduced land availability and anthropogenic developments are to be dealt with precautionary approaches. Although specific requirements may vary from Island to Island, this policy brief addresses the overall issues, challenges and need for innovative approaches in the most fragile tropical Islands of India towards ensuring sustainable agriculture and allied sector development for the benefit of Island communities.Not Availabl