Study of Distribution and Asymmetry of Solar Active Prominences During Solar Cycle 23

In this paper we present the results of a study of the spatial distribution and asymmetry of solar active prominences (SAP) for the period 1996-2007 (solar cycle 23). For more meaningful statistical analysis we have analysed the distribution and asymmetry of SAP in two subdivisions viz. Group1 (ADF, APR, DSF, CRN, CAP) and Group2 (AFS, ASR, BSD, BSL, DSD, SPY, LPS). The north-south (N-S) latitudinal distribution shows that the SAP events are most prolific in the 21-30degree slice in the northern and southern hemispheres and east-west (E-W) longitudinal distribution study shows that the SAP events are most prolific (best visible) in the 81-90degree slice in the eastern and western hemispheres. It has been found that the SAP activity during this cycle is low compared to previous solar cycles. The present study indicates that during the rising phase of the cycle the number of SAP events were roughly equal on the north and south hemispheres. However, activity on the southern hemisphere has been dominant since 1999. Our statistical study shows that the N-S asymmetry is more significant then the E-W asymmetry.Comment: 21 pages 5 figures; Published online; 02 October, 2009; Solar Physics Journa

Technology Analysis of Concentrated Solar Thermal Power

The current society much more taking interest in green energy and their energy system which are liable to being modified to achieve more efficiency and to sharply decrease CO2 emissions (5%below 1990 level ). INDIA is a fast growing country for utilizing solar energy. Form this paper we got to know about basic CSP technologies and their implementation preferable in India by using of SAM( System Advisor Model ) . It includes some basic facts and assessment  methodology and market challenging on basis of rebellion in energy sector ,prospect to be an alternative huge power generation an assessment of old conventional power plant .Here also specify about theoretically electrical output which help to choose the technology . There small uses in thermal power plant which is also taken a lot of importance  as increases in efficiency and cost reduction in term of generation and GHG’s emission with reducing of mass of coal. Keyword: CSP technology and their types, system advisor model (SAM), appropriate CSP technology for India, Application in thermal power plant

Toward the sequence-based breeding in legumes in the post-genome sequencing era

Efficiency of breeding programs of legume crops such as chickpea, pigeonpea and groundnut has been considerably improved over the past decade through deployment of modern genomic tools and technologies. For instance, next-generation sequencing technologies have facilitated availability of genome sequence assemblies, re-sequencing of several hundred lines, development of HapMaps, high-density genetic maps, a range of marker genotyping platforms and identification of markers associated with a number of agronomic traits in these legume crops. Although marker-assisted backcrossing and marker-assisted selection approaches have been used to develop superior lines in several cases, it is the need of the hour for continuous population improvement after every breeding cycle to accelerate genetic gain in the breeding programs. In this context, we propose a sequence-based breeding approach which includes use of independent or combination of parental selection, enhancing genetic diversity of breeding programs, forward breeding for early generation selection, and genomic selection using sequencing/genotyping technologies. Also, adoption of speed breeding technology by generating 4–6 generations per year will be contributing to accelerate genetic gain. While we see a huge potential of the sequence-based breeding to revolutionize crop improvement programs in these legumes, we anticipate several challenges especially associated with high-quality and precise phenotyping at affordable costs, data analysis and management related to improving breeding operation efficiency. Finally, integration of improved seed systems and better agronomic packages with the development of improved varieties by using sequence-based breeding will ensure higher genetic gains in farmers’ fields

Effect of rhizospheric nutrient management on root growth, yield, and nutrient use efficiency of wheat (Triticum aestivum L.) under Tarai region of Uttarakhand, India

Rhizospheric nutrient management and fertilizer placement can be a useful measure to improve wheat crops productivity in Tarai regions of India.  An experiment was conducted to evaluate the effects of rhizospheric nutrient management on wheat (Triticum aestivum L.) to explore the relationship between root proliferation, grain yield and NUE in Tarai region of Uttarakhand,  India.  It comprised 3 fertilizer application (P1 to P3) and 6 nutrient management treatments (T1 to T6) with absolute control in a randomized complete block design and replicated thrice. Experimental results indicated that P1 (1.29 and 1.47; 1.84 and 2.29 mg/cc) produced greater root density, and compared to P3 (1.39 and 1.49; 1.74 and 2.17 mg/cc), P2 (1.24 and 1.36; 1.68 and 1.97 mg/cc) and absolute control (0.85 and 1.19; 1.42 and 1.69 mg/cc) at maximum tillering and flowering stage in year 2017-18 and 2018-19, respectively .The root proliferation also influenced the grain yield (5.4 and 5.5; 5.3 and 5.3; 5.1 and 5.2; 3.5 and 3.3 t/ha ) in P1, P3, P2 and absolute control in the year 2017-18 and 2018-19, respectively.  However, the grain yield and root distributions (at the flowering stage) recorded significantly (p=0.05) maximum in T4 (5.8 and 5.7 t/ha; 1.84 and 2.32 mg/cc) followed by T3, T6, T1, T5, T2 treatments and minimum in absolute control (3.5 and3.3 t/ha; 1.42 and 1.69 mg /cc) in the year of 2017-18 and 2018-19, respectively.  Thus, the rhizospheric nutrient management (75% RDF+ vermicompost + PSB) with fertilizer placement can be a feasible approach for increasing grain yield and NUE in Tarai regions of Uttarakhand, by promoting deep root development and reducing fertilizer inputs in wheat.

Genome-wide association mapping of nutritional traits for designing superior chickpea varieties

Micronutrient malnutrition is a serious concern in many parts of the world; therefore, enhancing crop nutrient content is an important challenge. Chickpea (Cicer arietinum L.), a major food legume crop worldwide, is a vital source of protein and minerals in the vegetarian diet. This study evaluated a diverse set of 258 chickpea germplasm accessions for 12 key nutritional traits. A significant variation was observed for several nutritional traits, including crude protein (16.56–24.64/100 g), β-Carotene (0.003–0.104 mg/100 g), calcium (60.69–176.55 mg/100 g), and folate (0.413–6.537 mg/kg). These data, combined with the available whole-genome sequencing data for 318,644 SNPs, were used in genome-wide association studies comprising single-locus and multi-locus models. We also explored the effect of varying the minor allele frequency (MAF) levels and heterozygosity. We identified 62 significant marker-trait associations (MTAs) explaining up to 28.63% of the phenotypic variance (PV), of which nine were localized within genes regulating G protein-coupled receptor signaling pathway, proteasome assembly, intracellular signal transduction, and oxidation–reduction process, among others. The significant effect MTAs were located primarily on Ca1, Ca3, Ca4, and Ca6. Importantly, varying the level of heterozygosity was found to significantly affect the detection of associations contributing to traits of interest. We further identified seven promising accessions (ICC10399, ICC1392, ICC1710, ICC2263, ICC1431, ICC4182, and ICC16915) with superior agronomic performance and high nutritional content as potential donors for developing nutrient-rich, high-yielding chickpea varieties. Validation of the significant MTAs with higher PV could identify factors controlling the nutrient acquisition and facilitate the design of biofortified chickpeas for the future

Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network

This paper proposed a retinal image segmentation method based on conditional Generative Adversarial Network (cGAN) to segment optic disc. The proposed model consists of two successive networks: generator and discriminator. The generator learns to map information from the observing input (i.e., retinal fundus color image), to the output (i.e., binary mask). Then, the discriminator learns as a loss function to train this mapping by comparing the ground-truth and the predicted output with observing the input image as a condition.Experiments were performed on two publicly available dataset; DRISHTI GS1 and RIM-ONE. The proposed model outperformed state-of-the-art-methods by achieving around 0.96% and 0.98% of Jaccard and Dice coefficients, respectively. Moreover, an image segmentation is performed in less than a second on recent GPU.Comment: 8 pages, Submitted to 21st International Conference of the Catalan Association for Artificial Intelligence (CCIA 2018

Seed coat mediated resistance against Aspergillus flavus infection in peanut

Toxic metabolites known as aflatoxins are produced via certain species of the Aspergillus genus, specifically A. flavus, A. parasiticus, A. nomius, and A. tamarie. Although various pre- and post-harvest strategies have been employed, aflatoxin contamination remains a major problem within peanut crop, especially in subtropical environments. Aflatoxins are the most well-known and researched mycotoxins produced within the Aspergillus genus (namely Aspergillus flavus) and are classified as group 1 carcinogens. Their effects and etiology have been extensively researched and aflatoxins are commonly linked to growth defects and liver diseases in humans and livestock. Despite the known importance of seed coats in plant defense against pathogens, peanut seed coat mediated defenses against Aspergillus flavus resistance, have not received considerable attention. The peanut seed coat (testa) is primarily composed of a complex cell wall matrix consisting of cellulose, lignin, hemicellulose, phenolic compounds, and structural proteins. Due to cell wall desiccation during seed coat maturation, postharvest A. flavus infection occurs without the pathogen encountering any active genetic resistance from the live cell(s) and the testa acts as a physical and biochemical barrier only against infection. The structure of peanut seed coat cell walls and the presence of polyphenolic compounds have been reported to inhibit the growth of A. flavus and aflatoxin contamination; however, there is no comprehensive information available on peanut seed coat mediated resistance. We have recently reviewed various plant breeding, genomic, and molecular mechanisms, and management practices for reducing A. flavus infection and aflatoxin contamination. Further, we have also proved that seed coat acts as a physical and biochemical barrier against A. flavus infection. The current review focuses specifically on the peanut seed coat cell wall-mediated disease resistance, which will enable researchers to understand the mechanism and design efficient strategies for seed coat cell wall-mediated resistance against A. flavus infection and aflatoxin contamination

Ladakh: Diverse, high-altitude extreme environments for off-earth analogue and astrobiology research

This paper highlights unique sites in Ladakh, India, investigated during our 2016 multidisciplinary pathfinding expedition to the region. We summarize our scientific findings and the site's potential to support science exploration, testing of new technologies and science protocols within the framework of astrobiology research. Ladakh has several accessible, diverse, pristine and extreme environments at very high altitudes (3000-5700 m above sea level). These sites include glacial passes, sand dunes, hot springs and saline lake shorelines with periglacial features. We report geological observations and environmental characteristics (of astrobiological significance) along with the development of regolith-landform maps for cold high passes. The effects of the diurnal water cycle on salt deliquescence were studied using the ExoMars Mission instrument mockup: HabitAbility: Brines, Irradiance and Temperature (HABIT). It recorded the existence of an interaction between the diurnal water cycle in the atmosphere and salts in the soil (which can serve as habitable liquid water reservoirs). Life detection assays were also tested to establish the best protocols for biomass measurements in brines, periglacial ice-mud and permafrost melt water environments in the Tso-Kar region. This campaign helped confirm the relevance of clays and brines as interest targets of research on Mars for biomarker preservation and life detection.The team would like to express its gratitude to BirbalSahni Institute of Palaeosciences, Department of Science and Technology,Office of Chief Wildlife Warden of Ladakh, Government of India for helpingarrange the requisite clearances and permits for the conducted work. Projectmentoring and guidance provided by Spaceward Bound members at NASAAmes Research Center. Financial and logistics support provided by TataMotors Ltd, Inspired Journeys Co, Pearl Travels Ltd and NationalGeographic Traveller India. Website and IT support provided by the BlueMarble Space Institute of Science. Audio-video documentation support pro-vided by Astroproject India and The H