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. 2020 Jul 30;11:1147. doi: 10.3389/fpls.2020.01147

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Copyright © 2020 Bhatt and Maheshwari

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Principal Component Analysis showing the correlation between the effect of different treatments and variables of C. annuum L. (A) Principal component analysis of different treatments and proximate chemical constituent variables. (B) Principal component analysis of different treatments and nutrient constituent variables. Where, treatments: T1: Untreated control; T2: seeds + CDK15; T3: seeds + CDK25; T4: seeds + Consortium (CDK15 + CDK25); M: Moisture, CP: Protein, CF: Crude Fiber, A: Ash, F: Fat, C: Carbohydrate, a: Calcium; b: Magnesium; c: Phosphorous; d: Potassium; e: Copper; f: Zinc; g: Iron.