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Manoj Kumar

Researcher at Indian Council of Agricultural Research

Publications -  179
Citations -  3107

Manoj Kumar is an academic researcher from Indian Council of Agricultural Research. The author has contributed to research in topics: Starch & Nutrient management. The author has an hindex of 15, co-authored 175 publications receiving 965 citations. Previous affiliations of Manoj Kumar include Indian Agricultural Research Institute.

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Enhancing the functionality of chitosan- and alginate-based active edible coatings/films for the preservation of fruits and vegetables: A review.

TL;DR: The present review comprehensively elaborates recent studies on functional additives and their mechanism of action and establishes their proficiency in extending quality and shelf-life of various fruits including guava, pear, blueberries and vegetables like cucumber, capsicum and mushroom.
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Evaluation of yield and physiological attributes of high-yielding rice varieties under aerobic and flood-irrigated management practices in mid-hills ecosystem

TL;DR: Evaluated the influence of frequent mid-season drainage as a measure of water saving technique besides inducing the pre-conditioning effect on genotypes to withstand water stress during the subsequent growth period of crop ontogeny and identified attributes responsible for the yield gap between aerobic and flooded rice.
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Effects of tillage and biomass on soil quality and productivity of lowland rice cultivation by small scale farmers in North Eastern India

TL;DR: In this article, the effect of different tillage systems (individual or combinations of spading, trampling and hand weeding) on rice productivity and soil ( Typic Paleudalf ) quality under in situ residue management in lowland conditions.
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Recent trends in extraction of plant bioactives using green technologies: A Review

TL;DR: In this article, the authors highlight some important source of bioactive phenolic compounds and novel technologies for their efficient extraction, such as microwave, ultrasound, and supercritical methods, and highlight the use of response surface methodology (RSM) as a statistical tool for optimizing the recoveries of the phenolic bioactives from plant-based matrices.