Indian Agricultural Statistics Research Institute

About: Indian Agricultural Statistics Research Institute is a facility organization based out in New Delhi, India. It is known for research contribution in the topics: Population & Small area estimation. The organization has 454 authors who have published 870 publications receiving 7987 citations.

Forecasting monthly rainfall of Sub-Himalayan region of India using parametric and non-parametric modelling approaches

Abstract: Rainfall being a complex phenomenon governed by various meteorological parameters is difficult to model and forecast with high precision. For hilly regions such as state of Sikkim and adjoining areas of West Bengal, rainfall acts as lifeline. Several parametric models such as seasonal autoregressive integrated moving average (SARIMA) and exponential autoregressive (EXPAR) are very popular and extensively used to model and forecast rainfall. Owning to complex nature of rainfall series, non-parametric time delay neural network (TDNN) model has also gained substantial amount of attention by researchers. This study uses these two broad class of models and applies them to the monthly rainfall of Sub-Himalayan West Bengal and Sikkim. The models were compared based on their forecasting efficiencies and pattern prediction ability.

Applications of Bioinformatics in Plant and Agriculture

Abstract: The high-throughput technologies generating large-scale biological data, as well as the development of related computational tools, have united global efforts and brought revolutionary changes to the research of biology during the last decade. Today, biologists work in association with scientists from a broad spectrum of disciplines to unravel how complex biological systems work. Bioinformatics is a multidisciplinary field that makes use of computers to store and analyse molecular biology information with integration of statistical algorithms. The genome sequencing of a number of organisms has led to the discovery of many fascinating things. Today, the world feels the need of this discipline to save resources and time. This chapter emphasises on a number of applications of bioinformatics in agriculture in view of functional genomics, data mining techniques, genome-wide association studies, high-performance computing facilities in agriculture and various bioinformatics tools/databases important for breeders, biotechnologists and pathologists. Agricultural genomics leads to the global understanding of plant/animal and pathogen biology, and its application would be beneficial for agriculture.

The complete mitochondrial genome of the Asian stinging catfish, Heteropneustes fossilis (Siluriformes, Heteropneustidae) and its comparison with other related fish species.

Abstract: The complete mitogenome of Heteropneustes fossilis is described using Ion Torrent (PGM sequencer), which showed it was 16,489 bp in size comprising 13 mRNAs, 22 tRNAs, 2 rRNA genes, and 858 bp as D...