Evaluation of Nutritional and Nutraceutical Content of Polished and Unpolished Barnyard Millet - An Analytical Study

Barnyard millet (Echinochloa frumentacaea) is an indigenous under utilized millet variety of south India with bounty of health benefits due to the abundance of dietary fiber antioxidant and minerals like iron. This gluten free wonder millet can be a healthy alternate dietary source for diabetic, obesity and CVD patients. Scientific evidence based studies on nutritional quality of this millet both in polished and unpolished form is less. The current study aims at “Evaluation of nutritional and nutraceutical content of polished and unpolished barnyard millet”. Both polished and unpolished barnyard millets were procured from local market, cleaned to remove dirt, dust and stone. The cleaned millets were dried powdered and sieved using 60 mesh sieves (250 Micron). The powdered millet flour was stored in airtight container. Nutritional content of Barnyard millet was analysed for macro, micro nutrients and nutraceutical properties of both polished and unpolished form using standard AOAC method - 20th edition (2016). The analysed nutrient content were compared statistically at 99% and 95 % confidence interval (t-test).The result shows that, the quantum of carbohydrate present in polished barnyard millet was 11.37 % lesser than the milled parboiled rice and 9 % lesser than the brown rice and 12.45 % lesser than the raw milled rice. The total dietary fibre content of unpolished barnyard millet was 14.2 gm and polished barnyard millet was 8.5 gm. Crude fibre content of unpolished barnyard millet was noted as 11.2 gm and the same in polished barnyard millet was 4.5gm. The protein content of unpolished barnyard millet (10.4gm) was found to be superior to polished barnyard millet (6.8gm).The presence of nutraceutical components were more nutritionally superior in unpolished barnyard millet compared to polished one.

Extrapolation of post-harvest soil test values in barnyard millet-based cropping sequence through multivariate analysis

The soil test value is based on the soil test-based fertilizer prescription/ recommendation equation. Each crop harvesting after the next crop is necessary to analyze the soil. Therefore, it is necessary to develop an alternative technique to predict postharvest soil tests after the harvest of every crop. For that a study was conducted in mixed black calcareous soils at Tamil Nadu agricultural University, Coimbatore to develop the post-harvest prediction equations for available nitrogen, phosphorus and potassium in barnyard millet cropping sequence based on a multiple regression model by considering post-harvest soil test value as the dependent variable and initial available nutrients, fertilizer doses and crop yield or crop nutrient uptake as an independent variables. The developed model was validated by computing R2 value, RMSE (root means square error), RE (relative error), and the ratio of performance to deviation (RPD) and the developed model was found to be valid. Using the validated model, post-harvest soil test values were predicted. A fertilizer recommendation was made for blackgram based on predicted post-harvest soil test values in the barnyard millet-blackgram cropping sequence. The predicted soil test values were compared with actual soil test values and it revealed that the developed model is fairly accurate and best-fitted with more precision. The predicted post-harvest soil test values of barnyard millet could be used in order to prescribe fertilizer for desired yield targets for subsequent crops.