Upendra Kumar PradhanIndian Agricultural Statistics Research Institute · Statistical Genetics
Upendra Kumar Pradhan
Ph.D.
About
45
Publications
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Introduction
Upendra Kumar Pradhan currently works at Division of Statistical Genetics, Indian Agricultural Statistics Research Institute. Upendra does research in Agricultural statistics , Bioinformatics and computational Biology .
Skills and Expertise
Publications
Publications (45)
Photosynthetic proteins play a crucial role in agricultural productivity by harnessing light energy for plant growth. Understanding these proteins, especially within C3 and C4 pathways, holds promise for improving crops in challenging environments. Despite existing models, a comprehensive computational framework specifically targeting plant photosy...
Prokaryotic DNA binding proteins (DBPs) play pivotal roles in governing gene regulation, DNA replication, and various cellular functions. Accurate computational models for predicting prokaryotic DBPs hold immense promise in accelerating the discovery of novel proteins, fostering a deeper understanding of prokaryotic biology, and facilitating the de...
RNA-binding proteins (RBPs) are central to key functions such as post-transcriptional regulation, mRNA stability, and adaptation to varied environmental conditions in prokaryotes. While the majority of research has concentrated on eukaryotic RBPs, recent developments underscore the crucial involvement of prokaryotic RBPs. Although computational met...
To date, two major layers of gene regulation have been identified during RNA life cycle. These include: transcription regulation by transcription and epigenetic factors and post-transcription regulation by various classes of small RNA (sRNAs). Besides these two layers, there is another layer of gene regulation which is completely regulated by RNA-b...
Soil inorganic carbon (SIC) is important carbon reservoirs in desert ecosystems. However, little attention was paid to estimate carbon stock in these regions. In the present study, the distribution of SIC stock was investigated using digital soil mapping in Bikaner district, Rajasthan, India. A total of 187 soil profiles were used for SIC estimatio...
DNA-binding proteins (DBPs) play critical roles in many biological processes, including gene expression, DNA replication, recombination and repair. Understanding the molecular mechanisms underlying these processes depends on the precise identification of DBPs. In recent times, several computational methods have been developed to identify DBPs. Howe...
RNA-binding proteins (RBPs) are essential for post-transcriptional gene regulation in eukaryotes, including splicing control, mRNA transport and decay. Thus, accurate identification of RBPs is important to understand gene expression and regulation of cell state. In order to detect RBPs, a number of computational models have been developed. These me...
Background
Root is a desirable trait for modern plant breeding programs, as the roots play a pivotal role in the growth and development of plants. Therefore, the identification of the genes governing the root traits is an essential research component. With regard to the identification of root-associated genes/proteins, the existing wet-lab experime...
Abiotic stresses are detrimental to plant growth and development and have a major negative impact on crop yields. A growing body of evidence indicates that a large number of long non-coding RNAs (lncRNAs) are key to many abiotic stress responses. Thus, identifying abiotic stress-responsive lncRNAs is essential in crop breeding programs in order to...
Abiotic stresses have become a major challenge in recent years due to their pervasive nature and shocking impacts on plant growth, development, and quality. MicroRNAs (miRNAs) play a significant role in plant response to different abiotic stresses. Thus, identification of specific abiotic stress–responsive miRNAs holds immense importance in crop br...
DNA-binding proteins (DBPs) play crucial roles in numerous cellular processes including nucleotide recognition, transcriptional control and the regulation of gene expression. Majority of the existing computational techniques for identifying DBPs are mainly applicable to human and mouse datasets. Even though some models have been tested on Arabidops...
Single-cell RNA-sequencing (scRNA-seq) is a rapidly growing field in transcriptomics, which generates a tremendous amount of gene expression data at the single-cell level. Improved statistical approaches and tools are required to extract informative knowledge from such data. Gene network modeling and analysis is one such approach for downstream ana...
Delineation of irrigation management zones (IMZs) depend on spatial variability of soil hydro-physical properties like soil texture, bulk density (BD), field capacity (FC), permanent wilting point (PWP) and available water content (AWC). This work presents a method for delineation of irrigation zones under such constraints. A total of 67 geo-refere...
miRNAs are among the most important regulators of cell systems, whose highly spatiotemporal expressions are the foundations of cell states. However, the proteins conventionally suggested to control their biogenesis, Drosha, and Dicer, are ubiquitously expressed, implying the involvement of other factors in miRNA biogenesis. Some key studies have el...
In the present study, the distribution of soil organic carbon (SOC) was investigated using digital soil mapping for an area of ~29 lakhs ha in Bikaner district, Rajasthan, India. To achieve this goal, 187 soil profiles were used for SOC estimation by Quantile regression forest (QRF) model technique. Landsat data, terrain attributes and bioclimatic...
Defining nutrient management zones (MZs) is crucial for the implementation of site-specific management. The determination of MZs is based on several factors, including crop, soil, climate, and terrain characteristics. This study aims to delineate MZs by means of geostatistical and fuzzy clustering algorithms considering remotely sensed and laborato...
In the present study, the distribution of salinity was investigated using digital soil mapping (DSM) algorithms in the 5 km buffer zone of both sides of the Indira Gandhi Nahar Pariyojana (IGNP) canal system of Suratgarh tehsil in Rajasthan. To achieve this goal, 64 soil samples were used with 21 environmental covariates and 3 DSM algorithms. The r...
Background
Picrorhiza kurroa Royle ex Benth. being a rich source of phytochemicals, is a promising high altitude medicinal herb of Himalaya. The medicinal potential is attributed to picrosides i.e. iridoid glycosides, which synthesized in organ-specific manner through highly complex pathways. Here, we present a large-scale proteome reference map of...
Formation of mature miRNAs and their expression is a highly controlled process. It is very much dependent upon the post-transcriptional regulatory events. Recent findings suggest that several RNA binding proteins beyond Drosha/Dicer are involved in the processing of miRNAs. Deciphering of conditional networks for these RBP-miRNA interactions may he...
Identifying the factors determining the RBP-RNA interactions remains a big challenge. It involves sparse binding motifs and a suitable sequence context for binding. The present work describes an approach to detect RBP binding sites in RNAs using an ultra-fast inexact k-mers search for statistically significant seeds. The seeds work as an anchor to...
Litterfall production, decomposition and nutrient release was investigated for three prominent agroforestry tree species, Prosopis cineraria, Tecomella undulata and Hardwickia binata, grown in the arid western region of India. The highest litterfall was recorded for H. binata (9.44 Mg ha−l y⁻¹) followed by P. cineraria (8.94 Mg ha−l y⁻¹) and T. und...
Identifying RBP binding sites and mechanistic factors determining the interactions remain a big challenge. Besides the sparse binding motifs across the RNAs, it also requires a suitable sequence context for binding. The present work describes an approach to detect RBP binding sites while using an ultra-fast BWT/FM-indexing coupled inexact k-mer spe...
Background: In-spite of ubiquitous expression of DROSA/DICER, miRNA formation and maturation are highly spatiotemporal implying involvement of other factors in their biogenesis. Several key studies have elucidated functions of few other RNA-binding proteins (RBPs) in miRNAs biogenesis, making it necessary to look miRNA biogenesis models with fresh...
Delineation of management zones (MZs) are needed to manage fields in order to maximize economic return, minimize environmental impact, and improve soil and crop management. The MZs of uniform production potential may offer an effective solution to nutrient management. In this study, a total of 122 geo-referenced representative surface (0–250 mm dep...
In mixture experiments, the response is assumed to depend on the relative proportions of the ingredients present in the mixture and not on total amount of the mixture. When these experiments are conducted with variables that do not form any portion of the mixture, the levels changed could affect the blending properties of the ingredients are called...
The present study was undertaken to investigate the feasibility of estimating the yield of rice based on combined effects of weather parameters and technological advancement, using past weather records for Kheda district of middle Gujarat state. To this end, Autoregressive Integrated Moving Average with Exogenous variables (ARIMAX) time-series mode...
Selection indices are constructed using different weights viz. equal weight, genotypic correlation, phenotypic correlation and path coefficient (direct effects) with all possible combination of traits in forage sorghum (Sorghum bicolor (L.)Moench.) based on six biometrical characters viz. plant height at 50 % flowering (cm), number of tillers per p...
Inappropriate statistical designs may misinterpret results of animal feed experiments. Thus complete statistical designs can make animal feed research more appropriate and cost effective. Usually factorial row-column designs are used when the heterogeneity in the experimental material is in two directions and the experimenter is interested in study...
Most crop datasets contain missing values, a fact which can cause severe problems in the analysis and limit the utility of resulting inference. Classification techniques for grouping of crop genotypes are used when the data is complete. However, the presence of missing values limits the utility of these techniques and creates bias in the resulting...
Pearl millet (Pennisetumglaucum) is one of the most extensively cultivated cereals
in the world, ranking fourth after rice, wheat and sorghum. In Gujarat, for last 20 years, it has
been noticed that the area under pearl millet production has been decreased gradually
although productivity increase. The importance of pearl millet productivity fore...
Salinity is one of the most common abiotic stresses that limit the production of rice. Since, salinity stress tolerance is controlled by many genes, identification of these stress responsive genes as well as to understand the underlying mechanism is of great importance from breeding point of view. In this direction, the reverse engineering of gene...
A timely and reliable forecast of yield of crop needs little emphasis for monsoon dependent country like India where, the economy is mainly based on agricultural production. Weather is a major factor affecting crop production in advanced agricultural systems. The large variation due to climate change in yield from year to year and place to place is...
Correlation and path coefficient analyses are essential tools in selection
experiments. They were used to determine direct and indirect relationships between yield
and certain plant characters in 40 diverse genotypes of forage sorghum. The estimate of
broad sense heritability was highest for green fodder yield plant-1 followed by number of
leav...
A mixture experiment is an experiment in which the response is assumed to depend on the relative proportions of the ingredients present in the mixture and not on total amount of the mixture. In such experiments process variables do not form any portion of the mixture but the levels changed could affect the blending properties of the ingredients. So...
Genetic variability, heritability and genetic advance studies were necessary for crop improvement which must be exploited for yield improvement. The present investigation was undertaken for 40 diverse genotypes of forage sorghum [Sorghum bicolor (L.) Moench], which were grown in a RCBD with three replications and were evaluated for fifteen characte...
Mixture experiments are the experiments in which the response is a function only of the proportions of the components (constituents) present in the mixture and is not a function of the total amount of the mixture. The mixture experiments have been discussed with their application in agriculture. These experiments are quite useful when the experimen...
A mixture experiment is an experiment in which the response is assumed to depend on the relative proportions of the ingredients present in the mixture and not on total amount of the mixture. In such experiments process variables do not form any portion of the mixture but the levels changed could affect the blending properties of the ingredients. Wh...
Analysis of mixture experiments with process has been discussed in the literature. An experimenter will be interested in optimization of response along with estimation of parameters. If the experimenter has more than two replications the technique of dual response optimization can be used. In this paper we have developed the dual response technique...