Browsing by Author "Ashish Kumar Maurya"

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Assessment of genetic variability, heritability and genetic advance in chilli (Capsicum annuum L.)
(Society for Plant Research, 2017) Ashish Kumar Maurya; M.L. Kushwaha; S.K. Jain; Manish Kumar Maurya; Vikas Kumar Jain
The present experiment was carried out at vegetable research center of G B Pant University of Agriculture and Technology, Pantnagar, Uttarakhand during the spring summer season of 2014 in randomized block design with three replication to assess genetic variability, heritability and genetic advance as percent of mean for various growth, yield and quality traits. Data were recorded on plant height, canopy width, days to 50% flowering, days to 50% fruiting, number of fruits per plant, average fruit weight, stalk length, fruit body length, fruit yield per plant, ascorbic acid content, TSS, Anthracnose incidence, LCV incidence and total fruit yield per hectare. Analysis of variance revealed significant differences among the genotypes for all the traits studied indicating the presence of sufficient variability in the studied material. The phenotypic coefficient of variation (PCV) was higher than genotypic coefficient of variation (GCV) and the difference between PCV and GCV was narrow for most of the characters revealing little influence of the environment in the expression of these traits. High magnitude of PCV and GCV were observed for days to 50% flowering, number of fruits per plant, average fruit weight, fruit yield per plant, fruit body length, ascorbic acid, TSS, Anthracnose, leaf curl virus incidence and total fruit yield per hectare suggesting the existence of wide range of genetic variability in the genotypes for these traits. High heritability coupled with high genetic advance as percent of mean was observed for all the traits except canopy width and stalk length revealed these traits are under the control of additive gene action and lower influence of environmental factor in the expression of these traits with possibility for genetic improvement through simple selection. © 2017, SPR, All Rights Reserved.
Character association and path analysis studies for yield and yield attributes in green chilli (Capsicum annuum L.)
(Society for Plant Research, 2017) Ashish Kumar Maurya; M.L. Kushwaha; S.K. Jain; Santosh Kumar
Present investigation was carried out in spring summer season of 2014 using 30 chilli genotypes to elucidate the association of various growth, yield and quality traits to develop a reliable set of traits for indirect selection. The experiment was conducted in randomized block design using three replications. The data were observed from five randomly selected plants from each replication for thirteen quantitative traits. The genotypic coefficients were higher in the magnitudes relative to corresponding estimates of phenotypic coefficients, which indicated high heritability of the traits under study. The fruits yield per plant exhibited highly significant positive correlation with number of fruits per plant, average fruit weight and fruit body length, indicating the useful of these traits for improving upon fruit yield in chilli. Whereas it showed significantly negative correlation with days to 50 percent flowering and days to 50 percent fruiting inferred that early flowering and fruiting plants had higher yield over those having late flowering and fruiting. Path coefficient analysis revealed that the highest direct effect on fruit yield per plant was exerted by average fruit weight followed by number of fruits per plant, showing its more accountability for higher fruit yield. Therefore, it may be possible to improve fruit yield and quality by selecting the accessions on the basis of number of fruits, average fruit weight and fruit body length. © 2017, SPR, All Rights Reserved.
Effect of organic, inorganic and plant growth promoting rhizobacteria (PGPR) on growth and yield of cabbage in mid hills of himachal pradesh and study of their economics
(Society for Plant Research, 2017) P. Yadav Ram; A.K. Sharma; Rajesh Kaushal; Maneesh Kumar Singh; Ashish Kumar Maurya
The present investigation was carried out with cabbage cv. Pusa Mukta in a randomized complete block design with three replications with the objective to evolve integrated plant nutrient supply system for higher productivity of cabbage on sustainable basis. The experiment comprised of 15 different combinations of three different sources of nutrients including organic, inorganic and PGPR alone and in combinations which were applied following the proper procedures as per treatment. Integrated use of fertilizers, manures and PGPR significantly influenced yield and plant growth attributes of cabbage crop. The conjoint use of 75 % recommended dose of NP + Vermi compost and Enriched compost @ 2.5 t/ha + PGPR (T14) resulted in significantly maximum gross head weight (1580 g), net head weight (1050 g), harvesting index (66.45 %) and head yield (530.34 q/ha). This treatment recorded 34.4 per cent increase in yield over recommended practice (T1) along with highest net returns (Rs.3, 89,992/-). From present investigation, it can be concluded that above integrated combination of chemical fertilizers, organic manures (VC and EC) and PGPR resulted in saving of 25 % chemical fertilizers (NP), better growth, higher yield which statistically matched with the recommended package of fertilization which utilized 100 % NPK along with 20 t FYM. © 2017, SPR, All Rights Reserved.
Estimation of per se performance of chilli(Capsicum annuum L.) genotypes for dry fruit yield and its contributing traits
(Society for Plant Research, 2017) Ashish Kumar Maurya; M.L. Kushwaha; S.K. Jain; Manish Kumar Maurya; Yadav Ram
The present experiment was undertaken to evaluate the performance of chilli genotypes with a check, promising cultivar PC 1 to find the best one, during spring summer season of 2014 at Vegetable Research Center of GBPUAT, Pantnagar (Uttarakhand) using Randomized Block Design with three replications. Observations were recorded on various growth and yield attributing traits viz. number of primary branches, stem diameter, number of petals, days to 50% ripening, periferi of fruit, pericarp thickness, average fruit weight, number of seeds per fruit, weight of seeds per fruit, seed yield per plant, 100 seed weight and total dry fruit yield (q/ha) from five selected plants in each replications. There was found significant variation among all the genotypes for different characters under study. The genotype PC 20132 was found most promising as it produces maximum average fruit weight, 100 seed weight and significantly more dry fruit yield (29.32 q/ha) than check cultivar PC (26.30 q/ha). Thus the genotype PC 20132 may be used as commercial cultivation under tarai region of Uttarakhand. Beside this, the genotype PC 20132 and seven other genotypes which were statistically similar to the check in yield potential may be further evaluate in multilocation trials to judge its yield performance in other locations to find best one or more for commercial cultivation in other parts of the country. © 2017, SPR, All Rights Reserved.
IoT services in healthcare industry with fog/edge and cloud computing
(Elsevier, 2020) Dinesh Kumar; Ashish Kumar Maurya; Gaurav Baranwal
A continuous growth in human population has made availability of healthcare services a challenge. In recent past, various online healthcare applications have been proposed, but they were not reachable to common people because of unavailability of suitable and cheap handheld devices. A few years back, when Internet of Things (IoT) was introduced with clear architecture and smartphones came into the daily routine of humans, tremendous growth is observed in the IoT technology. Though smart city, smart farming, and smart parking are various applications of IoT, healthcare domain has emerged as one of the most popular domains of IoT technology. IoT along with cloud computing, fog computing, and mobile edge computing are some promising technologies behind the buildup of an advanced, digital, and smart healthcare system. Automated patient monitoring, activity tracking, measuring heart rate, calculating calorie burn/intake, etc. are some of the tasks performed by IoT devices attached to sensors in healthcare systems. In this chapter the role of fog and cloud computing in an IoT-based healthcare system is presented along with detailed technical aspects of each of the technologies for the realization of a complete and efficient IoT-based healthcare system. Several aspects of these technologies in healthcare such as the IoT-Fog-Cloud continuum, the standard platform that facilitates the communications among these different layers and types of fog devices, have been discussed. Along with this a separate discussion is given on how IoT-based healthcare can be integrated and implemented using emerging computing technologies. At last, various research challenges and future directions are provided. © 2021 Elsevier Inc. All rights reserved.
Safety analysis of safety-critical systems for their applicability on NPP systems: A state-of-the-art review
(John Wiley and Sons Ltd, 2021) Vinay Kumar; Ashish Kumar Maurya; Karam Veer Singh; Lalit Kumar Singh; Pooja Singh; Aditya Narayan Hati; Vibhav Prakash Singh
Since any risk in the safety-critical systems (SCSs) might lead to a terrible disaster, the utmost quality attribute of these systems is safety. Researchers are putting their efforts to ensure the safety of such systems. This paper summarizes the state-of-the-art in the area of the safety attribute of such critical systems. The in depth literature survey is performed to explore the several methods/models used for safety analysis of the SCS. The limitations of such methods are also shown regarding their applicability in SCS of the nuclear power plant (NPP). We also propose a framework to perform safety analysis, which can deal with these limitations and demonstrated the approach on a case study of NPP. Further, the direction for future work is advised to extend the further scope of research based on the case study. © 2021 John Wiley & Sons Ltd.