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.

Statistical Approach for Improving Genomic Prediction Accuracy through Efficient Diagnostic Measure of Influential Observation.

Abstract: It is expected the predictive performance of genomic prediction methods may be adversely affected in the presence of outliers. In agriculture science an outlier may arise due to wrong data imputation, outlying response, and in a series of trials over the time or location. Although several statistical procedures are already there in literature for identification of outlier but identification of true outlier is still a challenge especially in case of high dimensional genomic data. Here we have proposed an efficient approach for detecting outlier in high dimensional genomic data, our approach is p-value based combination methods to produce single p-value for detecting the outliers. Robustness of our approach has been tested using simulated data through the evaluation measures like precision, recall etc. It has been observed that significant improvement in the performance of genomic prediction has been obtained by detecting the outliers and handling them accordingly through our proposed approach using real data.

Bootstrap study of parameter estimates for nonlinear Richards growth model through genetic algorithm

Abstract: Richards nonlinear growth model, which is a generalization of the well-known logistic and Gompertz models, generally provides a realistic description of many phenomena. However, this model is very rarely used as it is extremely difficult to fit it by employing nonlinear estimation procedures. To this end, utility of using a very powerful optimization technique of genetic algorithm is advocated. Parametric bootstrap methodology is then used to obtain standard errors of the estimates. Subsequently, bootstrap confidence-intervals are constructed by two methods, viz. the Percentile method, and Bias-corrected and accelerated method. The methodology is illustrated by applying it to India's total annual foodgrain production time-series data.

Balanced treatment incomplete block designs through integer programming

Abstract: An algorithm is presented to construct balanced treatment incomplete block (BTIB) designs using a linear integer programming approach. Construction of BTIB designs using the proposed approach is illustrated with an example. A list of efficient BTIB designs for 2 ⩽ v ⩽ 12, v + 1 ⩽ b ⩽ 50, 2 ⩽ k ⩽ min(10, v), r ⩽ 10, r0 ⩽ 20 is provided. The proposed algorithm is implemented as part of an R package.

Effectiveness of Toxicity Characteristics Leaching Procedure for Assessing Metal Hazards of Polluted Soils in Relation to Human Health

Abstract: In view of scarcity of information, effectiveness of toxicity characteristics leaching procedure (TCLP) in assessing metal hazards of polluted soils was evaluated in relation to human health. Total...

Anthocyanin fingerprinting and dynamics in differentially pigmented exotic soybean genotypes using modified HPLC–DAD method

Abstract: More than as a phenotypic marker for breeding, seed coat colour of soybean is gaining momentum as a nutraceutical marker owing to the multitude of medicinal effects provided by anthocyanins. The acute obstacle for large scale phenotyping is a rapid, reliable and accurate quantification which simultaneously determines various anthocyanins and hence, in this study, the modified method efficiently separated cyanidin-3-glucoside (C3G), delphinidin-3-glucoside (D3G) and petunidin-3-glucoside (Pt3G) forms by eluting through a RP-C18 column with an optimized isocratic mobile phase containing 18% solvent B (0.4% trifluoro acetic acid in acetonitrile) in solvent A (0.4% trifluoro acetic acid in water). The elution profile of anthocyanins were C3G > D3G > Pt3G, with C3G as the predominant (~ 85%) form. The modified method was validated in terms of linearity (R2 = 0.998), low limit of detection (LOD = 5.8 μg ml−1), limit of quantification (LOQ = 22.25 μg ml−1), precision, repeatability, stability and recovery. C3G dynamics was found increased in a linear trend from 30DAF to later developing stages until maturity. The investigation on characterization of exotic soybean genotypes revealed that, maximum C3G content of 4.9 mg g−1 was in UPSL496 and the least in EC471921 (3.56 mg g−1). There was a positive correlation observed among all the variables, like monomeric anthocyanin content (MAC), C3G, D3G and Pt3G. Clustering and heat map analysis information on this efficient method can be used for future research for germ plasm evaluation and for developing nutritionally C3G enriched high yielding varieties.