Prakash Kumar

Prakash Kumar
Indian Agricultural Statistics Research Institute · Agricultural Statistics

Master of Science
Agricultural Statistics, Bio-informatics, GWAS, Genomic Selection and web server

About

27
Publications
13,404
Reads
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46
Citations
Introduction
Statistics, Design of experiments, Statistical genetics, Big data in Bioinformatics, NGS, Mapping algorithm development, Biological database and webserver development and RNA-seq analysis
Additional affiliations
August 2015 - February 2018
Indian Council of Agricultural Research
Position
  • Researcher
Description
  • Basic Statistical methods Statistical Genetics
July 2014 - February 2018
Indian Council of Agricultural Research
Position
  • Researcher
Description
  • Worked in area of Statistical Genetics
Education
June 2006 - July 2010
Banaras Hindu University
Field of study
  • Agriculture science

Publications

Publications (27)
Conference Paper
Full-text available
India is a developing country where, large numbers of small and marginal farmers have small land holding. The farmer’s risk can be minimized through selection of stable genotypes. In the present study an attempt has been made to identify/ develop reliable stability measures for selecting genotypes stable to environmental variation. Evaluation of ge...
Conference Paper
Full-text available
Block designs nested with row-column symmetric factorial experiments have been constructed. The designs have been constructed by using general confounding/ equation, lattice squares designs and extended group divisible designs have been used. These block designs are balanced for confounded treatment effects. Thus the effects that have been confound...
Article
Full-text available
The high-altitude alpine regions are characterized by highly variable and harsh environmental conditions. However, relatively little is known about the diverse mechanisms adopted by alpine plants to adapt to these stressful conditions. Here, we studied variation in transcriptome and physiological adjustments occurring across the year at high elevat...
Article
  The Bayesian model was applied for analyzing the first lactation in Karan Fries cattle. First lactation data of production (305-day or less milk yield and daily milk yield) were collected from the history-cum pedigree sheet and daily milk yield registers of the division of Dairy Cattle Breeding (DCB), National Dairy Research Institute (NDRI),...
Article
Full-text available
The composition of metabolites in the rind of ripe fruits of Garcinia indica was analysed using liquid chromatography-mass spectrometry (LC-MS). The fruits were particularly rich in hydroxycitric acid (15.60–22.92 g/100 g), which makes them a suitable candidate for weight-loss supplements; in anthocyanin (4.47–7.08 mg/g), a value much higher than t...
Article
Full-text available
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...
Article
Full-text available
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...
Code
Nonlinear growth models are extremely useful in gaining insight into the underlying mechanism. These models are generally 'mechanistic,' with parameters that have biological meaning. This package allows you to fit and forecast time series data using nonlinear growth models
Article
Full-text available
Picrorhiza kurrooa is an endangered medicinal herb which is distributed across the Himalayan region at an altitude between 3000–5000 m above mean sea level. The medicinal properties of P. kurrooa are attributed to monoterpenoid picrosides present in leaf, rhizome and root of the plant. However, no genomic information is currently available for P. k...
Preprint
Full-text available
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...
Preprint
Full-text available
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...
Article
Allicin and other allyl thiosulphinates possess broad antimicrobial and health-promoting properties, which makes them natural and safe substitutes for synthetic preservatives. These thiosulphinate compounds were investigated in 33 Allium accessions representing 14 species, and these species differed significantly in their content of allicin, allyl...
Article
Full-text available
Chromium (Cr), one of the most abundant and hazardous heavy metals, is generally observed to be widely distributed in environment, primarily due to the inter-mixing of the untreated domestic and industrial wastewaters. There has been an increased interest to replace conventional centralized treatment technologies with the low energy, low cost, and...
Article
Full-text available
Main conclusion Comparative proteomics and metabolomics study of juvenile green, light purple and dark purple leaf to identify key proteins and metabolites that putatively govern color transition in Camellia sinensis. Abstract Color transition from juvenile green to dark purple leaf in Camellia sinensis is a complex process and thought to be regul...
Chapter
Full-text available
Article
Full-text available
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...
Article
Full-text available
Data are playing an important role making good planning and policies for agricultural growth and development. Population growth and climate change are worldwide trends that are increasing the importance of using big data science to improve agriculture. Add to that land degradation increasing marginal land and loss of biodiversity are better deals w...
Article
Full-text available
One of the most important challenges facing Indian agriculture is to provide food & nutritional security for rural resource-poor communities in the wake of decreasing land holdings. Hence, selection of suitable cultivar or variety for specific environment is very much essential. The farmer's risk can be minimized and it may improve their economic c...
Article
Maize is widely cultivated throughout the world and has highest production among all the cereals. India is the sixth largest producer of maize in the world, contributing 2% of global production and accounting for 9% of the total food grain production in the country. Based on increasing growth rates of poultry, livestock, fish, and milling industrie...
Article
Full-text available
Factorial row-column designs are used when the heterogeneity in the experimental material is in two directions and the experimenter is interested in studying the effect of two or more factors simultaneously and each factor is at two or more levels. The designs that are balanced symmetric factorials nested in blocks are called block designs with nes...

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Projects

Projects (3)
Project
>A new methodology will be obtained for estimating of breeding value by considering both random effect and errors are serially correlated. >A new approach will be obtained for estimation of breeding value using Bayesian approach for the longitudinal data. >Apply the develop method in real data sets and write statistical software code to estimate the breeding value using longitudinal data. This will help the Animal and plant breeders to get estimated breeding value, which gives an estimate of the ability of an individual to produce superior offspring. Also help to understand the selective breeding decisions to improve economically important traits in plant and animal breeding.
Project
i. To propose a stability measure based on rank for evaluation of genotypes. ii. To develop a simultaneous index for selection of genotypes for better yield and stability. iii. To develop a composite stability index based on existing measures by using Multiple Criteria Decision-Making (MCDM) technique. iv. To study and compare the performance of proposed stability measures with various existing stability measures on real and simulated data