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D. K. Kundu

Researcher at Indian Council of Agricultural Research

Publications -  51
Citations -  245

D. K. Kundu is an academic researcher from Indian Council of Agricultural Research. The author has contributed to research in topics: Fertilizer & Soil water. The author has an hindex of 8, co-authored 51 publications receiving 197 citations.

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Journal Article

An overview of research and development in jute and allied fibre crops in India

TL;DR: In this paper, the authors present the significant research achievements in jute and allied fibre crops and also analyse the constraints faced by the jute sector to make it viable globally, and present a review of the challenges faced by jute production.
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Impact of balanced fertilization on nutrient acquisition, fibre yield of jute and soil quality in New Gangetic alluvial soils of India

TL;DR: Balanced fertilization not only enhances crop growth and yield but also improves its quality and soil health as discussed by the authors, which is the best approach of fertilization for jute production in New Gangetic alluvial soils of India The experiment comprising seven fertilizer treatments was laid out in a randomized block design with three replications during three consecutive crop seasons of 2010, 2011 and 2012.
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Integrated Fertilizer Prescription Equations for Recommendations of Fertilizers in Jute–Rice–Garden Pea Sequence on Alluvial Soil of Eastern India

TL;DR: In this paper, a field experiment was conducted on alluvial soils (Typic Eutrochrept) of eastern India by adopting inductive cum targeted yield model to assess the fertility status, fertilizer requirements, and formulation with and without integrated plant nutrient supply fertilizer (IPNS) prescription equation for jute fiber, rice grain, and garden pea on soil-test and yield target bases.
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Improved Estimation of Soil Organic Carbon Storage Uncertainty Using First-Order Taylor Series Approximation

TL;DR: In this article, the authors show that the accuracy of the estimation of soil organic C (SOC) storage uncertainty can be improved by incorporating covariance among the input variables, which leads to a substantial overestimation of the uncertainty.
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Cropping practices, soil properties, pedotransfer functions and organic carbon storage at Kuanria canal command area in India

TL;DR: The pedotransfer functions (PTFs) were developed for saturated hydraulic conductivity (Ks), water retention at FC and PWP of soils for different sites under major cropping system in a canal irrigated area and revealed that the soils are mainly composed of sand and clay.