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.

Robustness of Williams Square change-over designs

Abstract: In literature, Williams Square change-over designs balanced for first residual effects of treatments have been proved to be universally optimal. Here, an attempt has been made to show that these designs are robust against missing of last α [≤v−1; v being the number of periods in the design for v treatments] observations from an experimental unit.

Osmotic Dehydration of Banana (Dwarf Cavendish) Slices

Abstract: Osmotic dehydration Of banana slices (Dwarf Cavendish) was studied at five levels each of temperature 25°C, 35°C, 45°C, 55°C and 65°C, solution to sample ratio 1, 3, 5, 7 and 9; and concentration of sugar solution 40, 50, 60, 70 and 80° Brix. A modified second order rotatable design was adopted for three factors each at five levels. The moisture loss and sugar gain were characterized at one-hour interval for four hours. Response Surface Methodology was used.to optimize the osmotic dehydration with special reference to maximum moisture remoyal and minimum solids gain. The study indicated that about 16% of the initial moisture could be removed from the banana slices after one hour of osmosis at a sugar concentration 70° Brix, solution to sample ratio of 1.5 and a temperature of 50°C with only 5% of initial solids as sugar gain. The second order response surface model could estimate the moisture losses as well as solids gain within 5% of the observed value.

Workflow management systems for gene sequence analysis and evolutionary studies - A Review.

Abstract: Post 'omic' era has resulted in the development of many primary, secondary and derived databases. Many analytical and visualization bioinformatics tools have been developed to manage and analyze the data available through large sequencing projects. Availability of heterogeneous databases and tools make it difficult for researchers to access information from varied sources and run different bioinformatics tools to get desired analysis done. Building integrated bioinformatics platforms is one of the most challenging tasks that bioinformatics community is facing. Integration of various databases, tools and algorithm is a challenging problem to deal with. This article describes the bioinformatics analysis workflow management systems that are developed in the area of gene sequence analysis and phylogeny. This article will be useful for biotechnologists, molecular biologists, computer scientists and statisticians engaged in computational biology and bioinformatics research.