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  Randomized response (RR) techniques are used to collect data on sensitive characteristics. Abdelfatah and Mazloum (2015) extended Odumade and Singh?s (2009) RR techniques based on two decks of cards for stratified sampling and claim, on the basis of empirical studies, that their proposed estimators performs better that the Odumade and Singh (2009) RR technique in most situations. In this paper we have proposed alternative estimators for each of the Odumade and Singh (2009), Abdelfatah et al. (2011) and Abdelfatah and Mazloum (2015) RR techniques for stratified sampling. The proposed alternative estimators are found be more efficient than the existing estimators. Apart from increased efficiencies, the proposed estimators possess simpler expressions for the estimators of proportion, variances and unbiased estimators of variances. Keywords: Optimum allocation, Randomized response; Relative efficiency, Sensitive characteristics.

  Based on long term data analysis of advanced varietal trials of All India Coordinated Research Project (AICRP) on Sugarcane, identified nine genotypes which possess the qualities of high yield sustainability and low sensitivity towards adverse changes in environmental conditions during 2012 to 2018. Out of nine, two Co 10024 and Co 11001 from early group and two CoM 11086 and Co 08009 from mid late group of Peninsular Zone. In East Coast Zone, only one early maturing genotype, CoA 13322, was identified. Two mid-late genotypes, CoH 08262 and CoH 09264, were identified from North West Zone. Similarly two mid-late genotypes, CoSe 11454, CoP 12438, were identified from North Central and North Eastern Zone. Out of 163 genotypes, only CoSe 11454 was highly stable for all the three character, CCS (t/ha), cane yield (t/ha) and sucrose (%). Other eight were highly stable for CCS (t/ha) and cane yield (t/ha) only. These may be used as parents in crossing programme as possess the qualities of high yield sustainability and low sensitivity towards adverse changes in environmental conditions or having high stability and high yield criteria. Keywords: Climate resilient, Sugarcane, Genotypes, Sustainability, Stability.

  The present paper has dealt some transformed and composite chain ratio type estimators of population mean in finite population survey sampling The present paper has dealt some transformed and composite chain ratio type estimators of population mean in finite population survey sampling proposed estimators have been examined in comparison of several existing estimators in the literature using real data. It has been found that the proposed estimators have outperformed the existing chain ratio type estimators and composite chain ratio type estimators. Keywords: Two phase sampling, Auxiliary variables, Chain ratio type estimators, Composite chain estimators.

  The Calibration Approach proposed by Deville and Särndal (1992) is a popular technique to efficiently use auxiliary information in survey sampling. In this study, calibration estimators of the finite population total have been developed under two stage sampling design along with variance of the estimator and the corresponding estimator of variance. It is assumed that the population level complex auxiliary information is available at the second stage of selection and the study variable is inversely related to the available auxiliary information. The proposed calibration estimators were evaluated through a simulation study and it was found that all the proposed product type calibration estimators perform better than the Horvitz-Thompson estimator as well as usual product estimator of the population total under two stage sampling design. Keywords: Calibration approach; Auxiliary information; Product estimator; Simulation.

  Knowing the status of marine fish stock is of utmost importance to develop management strategies for sustainable harvest of marine fishery resources. A widely accepted approach towards this is to derive sustainable harvest levels using time series data on fish catch and fishing effort based on fish stock assessment models like Schaefer?s model that describe the biomass dynamics. In India, the marine fishery is of complex multi-species nature where in different species are caught by a number of fishing gears and each gear harvests a number of species making it difficult to obtain the fishing effort corresponding to each fish species. Since the capacity of the gears varies, the effort made to catch a resource cannot be considered as the sum of efforts expended by different fishing gears. Hence, it demands the importance of effort standardisation for making use in stock assessment models. This paper describes a methodology for the standardization of fishing efforts and assessing fish stock status using Bayesian state-space implementation of the Schaefer production model (BSM). A Monte Carlo based method namely Catch-Maximum Sustainable Yield (CMSY), has also been used for estimating fisheries reference points from landings and a proxy for biomass using resilience of the species. The procedure has been illustrated with data on Indian mackerel (Rastrelliger Kanagurta) collected from the coastal state of Andhra Pradesh, India during 1997-2018. Maximum Sustainable Yield (MSY) of Indian mackerel for Andhra Pradesh has been estimated. A comparison between both CMSY and BSM methods have been made and found that the estimates are in close agreements. Keywords: capture fisheries, stock assessment, Schaefer model, Monte Carlo method, CMSY, BSM.

  The study of optimal design for covariate models in CRD set-up was initiated by Troya (1982a, 1982b). Das et al. (2003) followed up the study and extended for RBD set-up. Recently Das et al. (2015) published a book on ?Optimal Covariate Designs?. In the present study, one new series of global optimal covariate designs in CRD set-up and two new series in RBD set-up have been developed. The new OCDs in CRD or RBD designs require only two Hadamard matrices of order 2 and 4. The developed global optimal covariate designs in CRD set-up have v (=0; mod 4 or =2; mod 4) number of treatments, and the developed first series of global optimal covariate designs in RBD set-up have the treatment number v (=0; mod 4) for any even number of replications or blocks, b and do not dependent on the existence of Hv and Hb. The second series of global optimal covariate designs in RBD set-up require only the existence of Hv. The paper is enriched with examples of optimal covariates. All the developed optimal covariate designs in the present article are not available in the existing literature. Keywords: ANCOVA, Hadamard Matrix, Optimal Covariate Design (OCD), CRD, RBD

  We applied the randomised response technique (RRT) to estimate the number of drug addicts among the male and female students of senior secondary schools located in Kumaun region of Uttarakhand, India. Warner?s RRT was applied to estimate the drug addicts among the senior secondary students in the region. The procedure adopted in the study provides adequate confidentiality to the respondents and reduces survey time. An estimated number of 26% of total students were found to be addicted to drugs with a 95% confidence interval [20%, 32%]. A strong association was found between drug addiction and academic performance of the students. The study is highly useful for planners in state and central governments to assess the gravity of the drug addiction among the school going children of the region and find ways to control the growing menace of drug addiction in the society. Keywords: Randomized response, Related question model, Estimates, Drug addiction.

  The present study is based on the secondary data of grain yield, obtained from AICRP on Long Term Fertiliser Experiment (LTFE) on rice conducted at RARS Pattambi during kharif and rabi seasons. The objective of the study was to study the influence of plant nutrients namely N, P and K uptake on grain yield of rice using nonlinear regression. Quadratic model was able to capture the relationship between yield and plant nutrients in both the seasons.

  In this paper we have proposed an alternative to Ige and Tripathi (1987) estimators with their properties. The expressions for biases and mean squared errors have been obtained upto the first degree of approximation. The proposed estimators have been compared with usual unbiased estimator of population mean in double sampling for stratification and ratio and product type estimators given by Ige and Tripathi (1987). To judge the merits of the proposed estimators an empirical study have been carried out. Keywords: Double sampling for stratification, Bias, Mean squared error

  An attempt has been made to propose a non-parametric stability index for crop varietal release based on the performance of a line for multiple traits coupled with stability. Efficacy of this index has been demonstrated with real time data. It is evident from the results that the rank based nonparametric measures computed based on the relative performance of a genotype as compared to others, may be more practically meaningful to come out with stable lines either for release as variety or as a promising line in the ensuing crop hybridization trails. Measure of importance of the traits worked out may also serve as a selection criterion for the breeders in their future hybridization trails. It is suggested to make use of this method in varietal release program and can be extended for Multi-location trail (MLT) based release of crop varieties. Keywords: Non-parametric stability, Okra, R- codes, Ranks, Varietal release.

  Web based software use ontologies to keep the web one step ahead from the conventional web. Ontology based software architecture makes the platform suitable to work together for human as well as machine. By means of Ontology the unstructured knowledge is easily converted into the structured one. Soil Taxonomy Ontology developed for USDA soil taxonomy by Das (2010) and Das et al. (2012) for soil orders available in India is available to only sub group level. In this work developed knowledgebase is used to develop web based software with N-tier architecture and the ontology has been extended up to family and series level. It also covers all the twelve order of USDA Soil Taxonomy and provides the state wise series description of the soil. Search module of the software provides the exclusive search of the soil taxonomy and the edit module provide the facility to add, delete and edit facility of the ontology information. Additionally we have developed an algorithm for automated ontology learning from the taxonomic texts with a case study of soil taxonomy. Keywords: Semantic web, Ontology, N-tier architecture, Ontology learning.

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