Open Access Original Research Article

Development of Multi-functional Control Architecture for Multisensor Surveillance Systems

A. Olatunbosun, I. O. Lawal

Advances in Research, Volume 9, Issue 1, Page 1-11
DOI: 10.9734/AIR/2017/30205

Multisensor approach is often utilized in modern surveillance systems because of its abilities to provide complementary and overlapping coverage on targets. In order to generate target tracks and estimates, the sensor data need to be fused. While a centralized and hierarchical processing approach is theoretically optimal, there are significant advantages in decentralizing the fusion operations over multiple processing nodes. This paper discusses decentralized and heterarchical control architectures, whereby each node processes the data from its own set of sensors and communicates with other nodes to improve on fusions and estimates. A decentralized multisensor data fusion and estimation algorithm with nonlinear information filter were developed for each sensor node for effective information gathering, filtering and estimation along the desired trajectory. The dynamic systems were mathematically modelled and simulated. The simulation results show that the developed architecture satisfies stochastic stability criteria, manifests excellent tracking and filtering properties than the convectional architecture.

Open Access Original Research Article

In silico Identification of Genes for Combined Drought and Salinity Stress in Rice (Oryza sativa L.)

Akula Dinesh, K. Hariprasanna, S. Vanisri, M. Sujatha, Kuldeep Singh Dangi

Advances in Research, Volume 9, Issue 1, Page 1-8
DOI: 10.9734/AIR/2017/32041

The salinity and water stress are the important abiotic stresses which severely affect the rice growth, development and yield depending on degree of stress. Moreover, this stresses are inter-related and includes many crosstalk at genetically and physiologically. The identification of genes controlling both the stress would mean a lot in understanding molecular mechanism of tolerance, which in turn assist in development of stress resilient genotypes. In the present study, an in silico approach was used to identify genes commonly expressed under combined drought and salt stress using microarray data retrieved from NCBIGEO database. The meta-analysis of this transcriptome data revealed 35 candidate genes expressed under combined stress with 82.8% of the genes showing up regulation and 18.2% genes with down regulation. The functional annotation of candidate genes showed the expression of diverse stress responsive proteins mainly transcription factor, UDP-glucosyl transferase, glycosyl ptransferase 8, flavanone 3-hydroxylase, plant PDR ABC transporter associated domain and dehydrins. Among the expressed proteins, transcription factors shared major part in gene regulation. The key gene Os05g48650.1 which present on chromosome five at 28.8 Mb physical position encoded for HBP-1b protein. The earlier authors proved that the over expression of this HBP-1b gene in rice plant showed improved tolerance to salt and drought stress. Two more genes Os11g26780.1 and Os11g26790.1 co-localized on chromosome 11 encodes for an important stress responsive dehydrin protein which is positively correlated with the tolerance to cold, drought, and salt stress. Finally, in conclusion the genes Os11g26780.1, Os11g26790.1, Os06g27560.1 and Os05g48650.1 were directly related with salt and drought stress tolerance. The introgression of these genes in high yielding stress susceptible genotypes could assist in developing stress tolerant cultivars.

Open Access Original Research Article

Simulating the Hydrologic Response to Climate Change: Sani River Basin, Gujarat (India)

S. S. Wandre, H. D. Rank, V. B. Shinde

Advances in Research, Volume 9, Issue 1, Page 1-9
DOI: 10.9734/AIR/2017/31473

Climate change is expected to create many challenges (water availability) worldwide and projecting its impacts at regional scale allows communities to be proactive in planning for the future. It will help to prepare a future plan for the water resources development and management for the basin. The study was planned for estimating the runoff, evapotranspiration and groundwater recharge by SWAT model and assessing the impacts of climate change on potential surface and ground water resources of basin. The study was undertaken in Sani river basin of Devbhumi Dwarka district which is located in Gujarat state, India. The digital data of various remote sensing satellite images of river basin required for work were collected from BISAG, Gandhinagar. The historical observed hydro- meteorological data (1961-2005) were collected from the State Water data Centre, Gandhinagar and Millet Research station, JAU, Jamnagar. The simulated daily precipitation and daily maximum and minimum temperature for the period of 1951-2005 (control period) and 2006-2100 (future scenarios) by EC-Earth RCM for RCP 4.5 were collected from the IITM, Pune, Maharashtra. The bias corrected simulated data by the RCM was used as inputs for the simulating the hydrologic response of basins by SWAT model. The different water balance components like runoff, evapotranspiration and groundwater recharge for the basins were estimated from the SWAT simulations results. The impacts of climate change water balance components were assessed through the trend analysis using Mann-Kendall method and Sen’s slope method. The rainfall, runoff, evapotranspiration and groundwater recharge were found stable in past and will be stable in future too, as there will not be climate change impacts on it for the basin. However, the temperature and reference evapotranspiration were found increasing in the basin.

Open Access Original Research Article

Studies on the Performance and Flower Characterization of Chrysanthemum (Dendranthema grandiflora L.) Genotypes under Uttar Pradesh Conditions

Deen Dayal Singh, Sachin Tyagi, Shashank Singh, Pankaj Kumar Ray

Advances in Research, Volume 9, Issue 1, Page 1-7
DOI: 10.9734/AIR/2017/31467

In the present study, twelve varieties of CHRYSANTHEMUM collected from the National Botanical Research Institute, Lucknow were evaluated under irrigated condition at Main Experiment Station, NDUA&T, Kumarganj, Faizabad during winter season (2011-12). A wide range of variation in the performance of the varieties were observed for various characters. Highest plant height (50.20 cm) and maximum number of florets per flower were observed in Suneel (339.67 cm). Genotype Dentiment showed maximum plant spread (34.74 cm), maximum number of flowers per plant (103.60 g), maximum flower diameter (10.40 cm), and highest weight of ten flowers (63.00 g). As for as suitability of particular genotypes is concerned, maximum number of primary branches in Jaya (10.30) and maximum flower vase life (16 days) in Jayanti was observed. Among all the 12 genotypes, few genotypes like Dentiment produced maximum flower yield (652.68 g per plant) followed by Suneel (345.33 g per plant) and Jaya (271.35 g per plant) which were significantly superior than the remaining varieties. Thus, on the basis of flower yield per plant these three genotypescan be chosen for commercial cultivation in Uttar Pradesh condition.

Open Access Original Research Article

Rearing Performance of Some Popular Bivoltine Silkworm (Bombyx mori L.) Breeds during Spring Season

Z. I. Buhroo, M. A. Malik, N. A. Ganai, A. S. Kamili, S. A. Mir

Advances in Research, Volume 9, Issue 1, Page 1-11
DOI: 10.9734/AIR/2017/32853

Twelve popular bivoltine silkworm (Bombyx mori L.) breeds viz., CSR2, NB4D2, SK-1, CSR4, DUN6, SH6, SK-6, CSR19, SK-28, DUN22 and SK-31, were evaluated for their performance during spring 2012 and 2013. The data generated in respect of different traits during two years was recorded replication wise and pooled. The pooled data was analyzed statistically and subjected to multiple trait evaluation index using Mono’s evaluation index method. Analysis of variance showed significant differences among the breeds for all the characters studied. The breeds were ranked as per the cumulative score and the value of a particular trait in a particular breed was compared with the ranking. Six breeds viz., NB4D2, SK-1, SH6, SK-6, SK-28 and SK-31 were short-listed. These breeds s scored higher E I values (>50) and can be used for the preparation of season specific hybrids to push up bivoltine silk productivity under specified environmental conditions in the valley.