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Long term impact of nutrient management options on yield, and nutrient uptake by soybean and soil properties under soybean (Glycine max) - wheat (Triticumaestivum) cropping system in the Indian Himalayas

Not AvailableLong term effect of nutrient management practices in wheat (Triticum aestivum L.) -soybean [Glycine max (L.) Merr.] cropping system were monitored after 7 years on the changes of different chemical and microbiological properties of soil (Mollisols) at Norman E Borloug Crop Research Centre, Pantnagar, Uttarakhand (Himalayan region, India). The experiment was laid out in a randomized block design with four nutrient management options with four replications with soybean variety PS 1347. Results recorded that the integrated use of organic and inorganic sources of nutrients (50% organic + 50% inorganic) showed highest grain (1.81 t/ha) and straw (3.11 t/ha) yield, and N (121.61 and 58.12 kg/ha) and P (11.85 and 13.83 kg/ha) uptake in grain and straw, respectively when compared with rest of the treatments (100% organic treatment, 100% inorganic treatment) and INM (Integrated Nutrient Management) + IPM (Integrated Pest Management). The treatment 50% organic + 50% inorganic sources of nutrient also showed 56.4% significantly higher nodule number than with 100% organic treatment at 60 DAS (days after sowing) which recorded lowest nodule number (24.6/plant). Though, INM + IPM treatment was better than 100% organic treatment with respect to nodulation, yield, nutrient concentration and uptake, but microbial biomass and dehydrogenase activity were significantly higher in 100% organic treatment than the other treatments. Therefore, 50% organic + 50% inorganic treatment was found best for most of the symbiotic, plant growth and yield parameters of soybean possibly by saving water, energy and nutrient resources which would help in maintaining the sustainability of the production system over the years

Evaluation of Rhizobium Efficiency in chickpea through boron management

Not AvailableThis study aims to evaluate the Rhizobium efficiency in chickpea through boron management. The study was carried out during Rabi season of 2006-07 at the Crop Research Centre, G. B. Pant University of Agriculture and Technology, Pantnagar. The experimental soil was neutral sandy loam with organic carbon of 0.73 per cent, available N and P of 163.07 and 12.33 kg/ha and 0.84, 1.33 and 0.3 mg/kg available Zinc, Boron and Molybdenum, respectively. The total bacterial counts in the initial sample were 5.83x105 CFU/g soil, fungi of 2.90x103 propagules/g soil and dehydrogenase activity was 40.29 µg/ TPF/g soil/24 h. Six treatments consisting combinations of Boron with and without Rhizobium sp. inoculation, were laid out in randomized block design (RBD) in triplicate. Rhizobium inoculation gave significant increase of 32.60% in nodule dry weight at 75 DAS over control. Among the two levels of boron, 10 kg Borax/ha was found superior to 5 kg Borax/ha for different studied parameters. Combined application of Rhizobium and 5 kg Borax/ha showed better and positive effect on nodulation, plant dry weight, uptake and yield of chickpea than the 10 kg Borax/ha. The highest grain yield of 2977 kg/ha was recorded due to inoculation with Rhizobium + 10 kg Borax/ha. Boron application in combination with Rhizobium also influenced the dehydrogenase activity significantly

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Not AvailableAuxiliary information is often used to improve the precision of estimators of finite population total. Calibration approach is widely used for making efficient use of auxiliary information in survey estimation. We proposed the regression type estimators of the population total using the calibration approach under the assumption that the population level auxiliary information is available at secondary stage unit level under two stage sampling design. Through Simulation it was found that all the proposed estimators are performing better than the usual Horvitz-Thompson estimators under two stage sampling design.Not Availabl

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Not AvailableAuxiliary information is often used to improve the precision of estimators of finite population total. Calibration approach (Deville and Sarndal,1992) is widely used for making efficient use of auxiliary information in survey estimation. Aditya et al. (2016) proposed regression type estimators of the population total using the calibration approach under the assumption that the population level auxiliary information is available at secondary stage unit level under two stage sampling design. In this paper we have proposed an improved variance estimator of the regression type estimator proposed by Aditya et al. (2016) using higher order calibration approach (Singh et al., 1998). We carried out limited simulation studies to demonstrate the empirical performance of proposed estimators. Our empirical results show that the proposed estimator performs better than the usual estimator of variances of the regression type estimator (Aditya et al., 2016).Not Availabl

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Not AvailableAgriculture plays a vital role in the Indian economy and hence collection and maintenance of Agricultural Statistics assume great importance. During past few agricultural years it was observed that a total number of 1300000 (approx) Crop Cutting Experiments (CCE) were conducted in India every year to find out the crop yield estimates of several major and minor crops conducted under General Crop Estimation Surveys (GCES). Due to shortage of manpower and huge bulk of work day by day the data quality is becoming questionable. To tackle this problem, a pilot study was conducted by ICAR-IASRI, New Delhi sponsored by Directorate of Economics and Statistics (DES), Ministry of Agriculture and Farmers welfare (MoA&FW), Govt. of India to generate district level estimates of major crop yield from a reduced sample size of villages selected from the states. With the reduction in number of villages, the problem of no sample size in some districts were faced during the study where common design based estimates of crop yield cannot be generated. To tackle this problem Aggregate level Small Area Estimation (SAE) was used to tackle this problem. The results obtained from this pilot study in the state of Uttar Pradesh for two major crops i.e. rice and wheat for two seasons i.e. Kharif and Rabi of Agriculture Year 2015-16 and for Paddy in Assam for Kharif of the Agriculture Year (AY) 2015-16 in India were discussed. The yield estimates were compared with the estimates released under GCES for AY 2015-16. It was found that the estimates obtained from reduced sample size of number of CCEs w.r.t. GCES, produced similar estimates with acceptable level of precision.Not Availabl

Estimation of Seed feed wastage ratio in India

Not AvailableInspite of all possible efforts a lot of food grains get wasted in process of harvesting and reaching to consumers. The purpose of this research paper is to represent the estimation of seeds of main food grain, fodder and waste ratio. Our purpose was to recalculate the corrected sample design and sample size in main food grain crops seeds, fodder and waste ratio. It was found that with better sample design, the actual use of main food grain crops seeds, fodder and waste ratio had been reduced from 12.5% to 7%

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Not AvailableThe use of conventional method of survey data collection, i.e. Paper Assisted Personal Interviewing (PAPI) method has several inherent weaknesses such as non-sampling errors in collection, tabulation and processing of the data. This leads to problem in data quality and timeliness. This article describes an android based Mobile Assisted Personal Interview (MAPI) software for collection of survey data using smart phones. The MAPI software developed by the ICAR-Indian Agricultural Statistics Research Institute (ICAR-IASRI), New Delhi, has been implemented successfully in the agricultural survey conducted in the two states in India namely Uttar Pradesh and Gu

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Long-term Impact of Zero Tillage and Residue Retention on Soil Nutrients and Microbial Biomass in a Maize-Mustard Cropping System

The objective of this study was to evaluate and compare different cropping systems and tillage practices, specifically focusing on the maize (Zea mays L.)-mustard (Brassica juncea L.) cropping system. The field experiment on maize (Zea mays L.)-mustard (Brassica juncea L.) cropping system commenced in monsoon 2010 at ICAR-IARI, New Delhi. Eight treatments were evaluated in a randomized block design, comprising four double cropping ZT (zero till) and two triple cropping ZT systems with or without crops residue retention along with two conventional till systems (control) [T1: ZTMZ-ZTM; T2: ZTMZ+BM-ZTM; T3: ZTMZ(+R)-ZTM(+R); T4: ZTMZ(+R)+BM-ZTM(+R); T5: ZTMZ-ZTM-ZTSMB; T6: ZTMZ(+R)-ZTM(+R)-ZTSMB(+R); T7: CTMZ-ZTM; T8: CTMZ-CTM] with three replications. Result showed that highest mineralizable nitrogen (388 kg ha-1) was found in T6 treatment (in 0-5 cm soil layer) whereas T8 treatment recorded the lowest mineralisable N (297 kg ha-1). ZTMZ(+R)-ZTM(+R)-ZTSMB(+R) treatment obtained a significant increase (81.3%) in Olsen extractable P over CTMZ-CTM treatment. MBP was observed to be maximum in T6 treatment (10.1 mg kg-1) whereas lowest values were recorded in T8 treatment (2.67 mg kg-1) in the upper layer. Therefore, under CA, utilization of microorganisms to increase the availability of P in soil is an attractive proposition for developing a more sustainable agriculture. This is relevant to the high-input production systems of the developed world, and also to developing countries where access to mineral fertilizers is restricted, which will give better results and outputs in future by giving easily available inputs without harming the environment and conserving soil fertility for future generations