Nutrient Management in kharif groundnut - Singh, Neelam; Joshi, Ekta
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Due to constant decrement in soil fertility status, the production and productivity of groundnut in India is decreasing. Although, the chemical fertilizers are known to increase production but our complete reliance on chemicals has led to poor soil health and pollution problems which in turn affects crop yield. There is an urgent need to explore an alternative strategy for sustainable production of crops. Liquid biofertlilizers, one of the best modern tools for agriculture, when integrated with chemical fertilizers boost up the crop yield as well as improve soil fertility status. They aid in…mehr

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Produktbeschreibung
Due to constant decrement in soil fertility status, the production and productivity of groundnut in India is decreasing. Although, the chemical fertilizers are known to increase production but our complete reliance on chemicals has led to poor soil health and pollution problems which in turn affects crop yield. There is an urgent need to explore an alternative strategy for sustainable production of crops. Liquid biofertlilizers, one of the best modern tools for agriculture, when integrated with chemical fertilizers boost up the crop yield as well as improve soil fertility status. They aid in meeting the nutrient demands of crop by enhancing their availability and absorption by the plants. Taking into account these facts, this book represents the results obtained from the M.Sc. thesis study about Integrated Nutrient Management in kharif groundnut. It also emphasizes on studying the effect of integration of chemicals and liquid biofertilizers on soil health and various quality parameters of groundnut crop concerning economics of INM practices in groundnut cropping.
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Autorenporträt
Dr. Neelam Singh ist außerordentliche Professorin in der Abteilung für Informatik und Ingenieurwesen der Graphic Era Deemed to be University, Dehradun. Sie hat mehr als 15 Forschungsarbeiten in internationalen Fachzeitschriften/Konferenzen im Bereich Machine Leaning, Big Data und Cloud Computing veröffentlicht. Ihre Forschungsinteressen umfassen ML, Big Data und Cloud.