A model of a solar panel array with variable irradiance and temperature is included in the study described here. Because each array receives a different amount of irradiation, the output varies. The system's output power has shifted as a result of this fluctuation. The work done here is done to adapt temperature and irradiance fluctuations in the solar panels and to increase the power output produced by the renewable energy source. With the suggested modulation technique, which has a simplified computational methodology, the levels of a multilevel inverter can be any number. This approach would be preferable for a solar system with variable input variables that generates consistent and effective output power.

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Chickpea (Cicer arietinum L.) is one of the most important legumes in the developed as well as developing countries of the world due to its amazing source of dietary proteins. The present experiment was conducted at Research Farm, RVSKVV, College of Agriculture; Gwalior (M.P.).  Forty chickpea genotypes were evaluated during Rabi 2020-21 in Randomized block design with two replications. The samples were analyzed for the analysis of peroxidase, Superoxide Dismutase and some of the key biomolecules like total sugars and proline content. The Total sugar ranged from 16.8 mgg-1 (RVSVT PS-2019- 201) to 24.9 mgg-1 (RVSVT PS-2019- 214), proline varied from 1.49 μmolg-1 (RVSVTK-2019- 104) to 2.91 μmolg-1 (RVSVT PS-2019- 213), superoxide dismutase ranged from 8.2 nmolg-1 (RVSVT PS-2019- 211) to 20.1nmolg-1 (RVSVT PS-2019- 205) and lipid peroxide varied from 1.04 nmolg-1 (RVSVTK-2019-101) to 1.92 nmolg-1 (RVSVTD-2019- 4, RVSVTD-2019- 10). Findings of the present investigation may help to choose better genotypes with useful biochemical contents for future crop improvement.

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