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.

Evaluation of Bt cotton effects on belowground microbial community structure and function in tropical western India

Abstract: An experiment was executed at field condition to evaluate ecological impact of Bt cotton (Mech 162 + Bt) on soil microbes and Bt protein behavior in soil. Root exudates of Bt cotton plant containing Bt protein enter into soil which persisted in soil for atleast 235 days after sowing (DAS). During vegetative and flowering stage, Bt protein was not detectable in both qualitative and quantitative assay but, during onset of boll formation at 150 DAS, a level of 0.0013 μg/g of Cry 1Ac protein was quantified in rhizospheric soil which further increased exponentially up to 0.0033 μg/g at 195 DAS and then maintained at the same level till 235 DAS with Cry1Ac expression level of 0.0029 μg/g soil. Rhizospheric soil of Bt cotton had significantly higher (p < 0.05) abundance of Fatty Acid Methyl Esters (FAME) of gram positive bacteria. Abundance of polyunsaturated FAMEs that are indicators of fungi, were slightly higher in Bt as compared to non-Bt cotton soils. The metabolic profiling, also called community level physiological profiling (CLPP) showed more microbial functional diversity (Shannon–Wiener Diversity) in soil samples of different growth stages of Bt cotton than its corresponding non-Bt variety. Our results showed that Cry 1AC Bt protein persists in clay loamy soil even after harvesting and significantly altered microbial community composition and functional diversity in rhizospheric soil of Bt cotton than non-Bt. Any possible and unintentional changes in composition of root exudes of Bt cotton could regulate the selection of different microbial communities and thus can alter functional responses.

Procedure for the identification of multiple influential observations in block design for incomplete multi-response experiments in presence of masking

Abstract: In agricultural experiments, if outliers are present in a data set, inference of experiment may be reversed. The purpose of this article is to develop a method for detection of subset of outlier ve...

Optimization of Operational Parameters for Tractor Operated Swinging Lance Sprayer by Using ASPEE-SPGF Spray Guns

Abstract: Spraying is one of the critical operations in agriculture. The importance of the use of chemical pesticides was well recognized in agriculture. Consumption of pesticides was increasing year by year, on the other hand, wastage of chemical pesticides also alarming due to excess application of pesticides. The quality spraying affects several operational factors. Tractor operated swinging lance sprayer developed for obtaining uniformity in spraying. Four operational factors such as spacing between spray guns, spray gun height, swing angle and pressure were considered to evaluate and optimize the operational factors for effective swath width. Full factorial design considered using Minitab software tool, 243 experiments (3 4 *3) conducted for the study. The main effects of each factor, 2-way interaction effects and 3-way interaction effects are significant at 5% level of significance. The swath width is significantly influenced by swing angle followed by spacing Original Research Article Srinivasarao et al.; CJAST, 39(48): 495-502, 2020; Article no.CJAST.65637 496 between spray guns for both the spray guns. The percentage contribution of swing angle, spacing between spray guns, height of spray gun and operating pressure on swath width was 44.37%, 37.62%, 2.51% and 2.02% respectively. The optimum combination of operational parameters for effective swath width was s3 h2 – a3 – p2. The obtained optimum operation combination for swath width significantly improved the performance of spraying activity.

Spatial nonstationary hierarchical Bayes estimation of small area proportions

Abstract: The hierarchical Bayes predictor of small area proportions (HBP) under an area level version of generalized linear mixed model with logit link function is widely used in small area estimation for b...