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.

Post harvest losses in marine fisheries

Abstract: In India, fish is the major source of protein for over one-third of the population especially for the rural poor in coastal areas. The per capita consumption of fish in India is 9.8 kg. against the recommended intake of 13 kg. The marine fish production has also been stagnating over recent years (CMFRI, 2004). As per FAO, the post harvest loss in world fisheries is 10%.Considering the nutritional significance coupled with stagnating catches in India, it is imperative that losses at all levels should be reduced. A pilot study to assess harvest andpost harvest losses in the marine sector was carried out by Central Institute of Fisheries Technology, Cochin in collaboration with Indian Agricultural Statistics Research Institute, New Delhi. This paper presents the results obtained vis-a-vis the post harvest sector in the study.

Possibilistic Linear Regression Analysis with Fuzzy Response Variable for Crop YIELD Estimation

Abstract: Reliable estimates of crop yields at small area level, say blocks, are of great importance for policy planning at micro-level. To this end, application of present methodology of Crop-cutting experiments is not practicable, as it would require total number of such experiments to increase many folds. Additional information about farmers' estimates of crop yields at block level, which are crisp values, may be used provided these can explain the actual crop yields, which are fuzzy. Accordingly, in this paper, theory of fuzzy sets and possibilistic regression analysis is discussed. Three methods, viz . Minimization, Maximization, and Conjunction are considered. The methodology is applied for modelling cotton crop yields at block levels of Sirsa district, Haryana. It is found that Conjunction method performed the best. Further, farmers' estimates are able to explain the actual crop yields with fitness level as high as 0.6.

Identification and characterization of a grain micronutrient-related OsFRO2 rice gene ortholog from micronutrient-rich little millet ( Panicum sumatrense )

Abstract: Minor millets are considered as nutrient-rich cereals having significant effect in improving human health. In this study, a rice ortholog of Ferric Chelate Reductase (FRO2) gene involved in plant metal uptake has been identified in iron-rich Little millet (LM) using PCR and next generation sequencing-based strategy. FRO2 gene-specific primers designed from rice genome amplified 2.7 Kb fragment in LM genotype RLM-37. Computational genomics analyses of the sequenced amplicon showed high level sequence similarity with rice OsFRO2 gene. The predicted gene structure showed the presence of 6 exons and 5 introns and its protein sequence was found to contain ferric reductase and NOX_Duox_Like_FAD_NADP domains. Further, 3D structure analysis of FCR-LM model protein (494 amino acids) shows that it has 18 helices, 10 beta sheets, 10 strands, 41 beta turn and 5 gamma turn with slight deviation from the FCR-Os structure. Besides, the structures of FCR-LM and FCR-Os were modelled followed by molecular dynamics simulations. The overall study revealed both sequence and structural similarity between the identified gene and OsFRO2. Thus, a putative ferric chelate reductase gene has been identified in LM paving the way for using this approach for identification of orthologs of other metal genes from millets. This also facilitates mining of effective alleles of known genes for improvement of staple crops like rice.

Sequential asymmetric third order rotatable designs (SATORDs)

Abstract: Rotatable designs that are available for process/ product optimization trials are mostly symmetric in nature. In many practical situations, response surface designs (RSDs) with mixed factor (unequa...

Tetrahedral and cubical association schemes with related PBIB(3) designs

Abstract: Here, two three-class association schemes called tetrahedral association scheme and cubical association scheme have been proposed along with methods of constructing partially balanced incomplete block designs based on these schemes. Designs based on cubical association scheme are found to be resolvable. An outline of the method of analysis of the designs has also been presented together with a list of PBIB(3) designs obtained using the proposed methods for number of treatments v < 100. The proposed designs are seen to be more efficient than the circular lattices (PBIB(3) designs) with the same number of experimental units for the estimation of elementary treatment effect contrasts.