Characterization of mango (Mangifera indica L.) genotypes based on physio-chemical quality attributes

Evaluation of fruit crops has been successfully utilized for studying the performance of varieties under different agro climatic regions time to time. In the present study cultivars were characterized on the basis of their physico-biochemical attributes. “Mallika” and “Neelgoa” were found superior in terms of fruit weight (321.87 g), size (12.55 cm, 8.13 cm), pulp weight (257.91 g) and pulp stone ratio (7.71) respectively. “Mallika” excelled in terms of sugar (20.82), while “Amrapali” in carotenoids (8.38 mg/100 g). Among them, Mallika (22.41?B) possessed the high-est amount of total soluble solids while lowest amount in Langra (16.90 ?B) whereas maximum titrable. The study shows the potential of Amrapali in terms of its quality, being late can meet the demand for later period when no other cultivar is available

Impact of pruning on growth, yield and quality of mango cv. Dashehari

An experiment was carried out to study the impact of pruning on growth, yield and quality of mango cv. Dashehari. Ten treatments consisted of heading back of terminal shoots at two different levels viz., M1: 10 cm & M2: 20 cm, with two level of frequency i.e., F1: annually & F2: biennially and at two different timings i.e., T1: immediately after fruit harvest (June-July) & T2: during rest period before the emergence of new growth (floral and vegetative) including control as M0F0T0 with and without Paclobutazol (PBZ), were imposed on the trees. The trial was laid out in Randomized block design replicated thrice and single tree served as treatment unit. On the basis of 6 years (2009-2014) pooled data, it was observed that the vigorous growth in terms of tree height (4.56 m), trunk circumference (43.56 cm) and tree spread (3.03 m) were observed in the trees under control (M0F0T0 without PBZ), whereas the trees which were pruned annually by heading back of 20 cm of terminal shoots during rest period before emergence of new growth along with paclabutrazol application (M2F1T2) showed less growth in terms of tree height (3.30 m) and spread (2.21 m). The annual pruning of tree by heading back of 10 cm of terminal shoots immediately after fruit harvest along with paclobutrazol application (M1F1T1) proved effective for increasing the number of fruits per tree (51.31), yield (9.09 kg/tree and 15.14 t/ha), B: C ratio (4.04), maintaining fruit quality and for having the appropriate dwarfing effect on the tree

Aggressive giant cell tumour of the talus: a rare case report and challenges faced during its management

Giant cell tumour (GCT) of the bone is a locally aggressive benign tumour that commonly occurs in the epiphyseal ends of long bones. Its occurrence in the small bones of the foot like the talus is rare. In this case report we described a case of aggressive GCT of the talus (Campanacci grade 3) in a twenty-one years old male diagnosed by the presence of a well-defined osteolytic lesion seen involving the talar body with cortical breach and soft tissue extension confirmed to be a GCT by closed needle biopsy. The patient was managed surgically by excision of the tumour mass in-toto along with the talus followed by tibio-calcaneal fusion using free fibular strut graft and Ilizarov frame. At 3 months follow up no evidence of fusion was seen and therefore secondary augmentation with a cortico-cancellous graft from the iliac crest was done to aid fusion and Ilizarov fixator was removed 6 months after the surgery. The patient at one year follow up had shown no signs of recurrence of the tumour and has a pain free, stable fused tibiocalcaneal joint with a bipedal unassisted gait. Our case report found excision of talus combined with tibio-calcaneal fusion using free fibular strut graft along with cortico cancellous iliac bone graft to have a good outcome in terms of aiding tibio-calcaneal arthrodesis and thereby providing pain relief and providing a stable foot to the patient

Effect of boron on growth, nutrition and fertility status of large cardamom in Sikkim Himalaya, India

Field experiment was conducted at Indian Cardamom Research Institute, Regional Research Station, Spices Board Kabi research farm North Sikkim to find out the effect of Boron nutrition on growth, nutrient content and soil fertility status of large cardamom. The experiment was laid out in RBD comprising seven treatments (T1 soil application of [email protected] kg ha-1 ,T2 soil application of [email protected] kg ha-1, T3 foliar application of [email protected]%, T4 foliar application of borax @0.5%, T5 foliar application of [email protected]%+ soil application of [email protected] kg ha-1, T6 foliar application of [email protected]%+ soil application of [email protected] kg ha-1 and T7 control). Results reveal that foliar application of [email protected]%+ soil application of [email protected] kg ha-1 recorded the maximum values of immature tillers per clump (2.98 and 3.95) and mature tillers per clump (2.99 and 3.11) during both September, 2013 and March, 2014 and vegetative buds per clump (2.90 ). With regards to nutrient content in leaf of large cardamom among the treatments, foliar application of [email protected]%+soil application of [email protected] kg ha-1 recorded highest nutrient acquisition However, its effect was statistically non significant on K, S, Ca, Zn, Cu, Mn and Fe content and significant on N(2.59%), P (0.18%), Mg (0.39%) and B (15.45 ppm) content in leaf

Performance Evaluation of Cabbage Cultivars under Open Field Cultivation in High Altitude of Tawang Arunachal Pradesh

The study has been undertaken to evaluate the performance of locally available commercial cultivars of cabbage in open field during summer season of 2019 at Defence Research Laboratory Research and Development Centre Tawang (Arunachal Pradesh). The commercial cultivars of these vegetables were evaluated based on the growth parameters and their yield performance under open field with paired row system of planting. It was found that the cultivar Green Express performance was outstanding among test edcultivars and it superseded cv. Royal Ball BC-51 and cv. Blue Jayes in terms of growth parameters as well as marketable yield (2.62 kg/m2) and biological yield (3.47 kg/m2). The cv. Royal Ball BC-86 was also found next best performing cultivar after cv. Green Express as former was at par with growth and yield parameter and harvest maturity of later. The head of cv. Green express attended harvest maturity (149.25 days) approximately one week earlier as compared to cv. Blue Jayes (155.0 days). However, the productivity of cultivars Green Express and Royal Ball BC-86 was found within the range of national average, therefore, these two cultivars could be recommended for the commercial cultivation with paired row system of planting under open field cultivation during summer season in high altitude areas of Tawang (Arunachal Pradesh)

A 3D Automated Classification Scheme for the TAUVEX data pipeline

In order to develop a pipeline for automated classification of stars to be observed by the TAUVEX ultraviolet space Telescope, we employ an artificial neural network (ANN) technique for classifying stars by using synthetic spectra in the UV region from 1250\AA to 3220\AA as the training set and International Ultraviolet Explorer (IUE) low resolution spectra as the test set. Both the data sets have been pre-processed to mimic the observations of the TAUVEX ultraviolet imager. We have successfully classified 229 stars from the IUE low resolution catalog to within 3-4 spectral sub-class using two different simulated training spectra, the TAUVEX spectra of 286 spectral types and UVBLUE spectra of 277 spectral types. Further, we have also been able to obtain the colour excess (i.e. E(B-V) in magnitude units) or the interstellar reddening for those IUE spectra which have known reddening to an accuracy of better than 0.1 magnitudes. It has been shown that even with the limitation of data from just photometric bands, ANNs have not only classified the stars, but also provided satisfactory estimates for interstellar extinction. The ANN based classification scheme has been successfully tested on the simulated TAUVEX data pipeline. It is expected that the same technique can be employed for data validation in the ultraviolet from the virtual observatories. Finally, the interstellar extinction estimated by applying the ANNs on the TAUVEX data base would provide an extensive extinction map for our galaxy and which could in turn be modeled for the dust distribution in the galaxy.Comment: 8 pages, 12 figures, Accepted for publication in MNRAS; High resolution figures available from the authors on reques

Comparative performance of some popular ANN algorithms on benchmark and function approximation problems

We report an inter-comparison of some popular algorithms within the artificial neural network domain (viz., Local search algorithms, global search algorithms, higher order algorithms and the hybrid algorithms) by applying them to the standard benchmarking problems like the IRIS data, XOR/N-Bit parity and Two Spiral. Apart from giving a brief description of these algorithms, the results obtained for the above benchmark problems are presented in the paper. The results suggest that while Levenberg-Marquardt algorithm yields the lowest RMS error for the N-bit Parity and the Two Spiral problems, Higher Order Neurons algorithm gives the best results for the IRIS data problem. The best results for the XOR problem are obtained with the Neuro Fuzzy algorithm. The above algorithms were also applied for solving several regression problems such as cos(x) and a few special functions like the Gamma function, the complimentary Error function and the upper tail cumulative $\chi^2$-distribution function. The results of these regression problems indicate that, among all the ANN algorithms used in the present study, Levenberg-Marquardt algorithm yields the best results. Keeping in view the highly non-linear behaviour and the wide dynamic range of these functions, it is suggested that these functions can be also considered as standard benchmark problems for function approximation using artificial neural networks.Comment: 18 pages 5 figures. Accepted in Pramana- Journal of Physic

Global text mining and development of pharmacogenomic knowledge resource for precision medicine

Understanding patients' genomic variations and their effect in protecting or predisposing them to drug response phenotypes is important for providing personalized healthcare. Several studies have manually curated such genotype-phenotype relationships into organized databases from clinical trial data or published literature. However, there are no text mining tools available to extract high-accuracy information from such existing knowledge. In this work, we used a semiautomated text mining approach to retrieve a complete pharmacogenomic (PGx) resource integrating disease-drug-gene-polymorphism relationships to derive a global perspective for ease in therapeutic approaches. We used an R package, pubmed.mineR, to automatically retrieve PGx-related literature. We identified 1,753 disease types, and 666 drugs, associated with 4,132 genes and 33,942 polymorphisms collated from 180,088 publications. With further manual curation, we obtained a total of 2,304 PGx relationships. We evaluated our approach by performance (precision = 0.806) with benchmark datasets like Pharmacogenomic Knowledgebase (PharmGKB) (0.904), Online Mendelian Inheritance in Man (OMIM) (0.600), and The Comparative Toxicogenomics Database (CTD) (0.729). We validated our study by comparing our results with 362 commercially used the US- Food and drug administration (FDA)-approved drug labeling biomarkers. Of the 2,304 PGx relationships identified, 127 belonged to the FDA list of 362 approved pharmacogenomic markers, indicating that our semiautomated text mining approach may reveal significant PGx information with markers for drug response prediction. In addition, it is a scalable and state-of-art approach in curation for PGx clinical utility

Multidisciplinary approaches to the study of eating disorders and obesity: recent progress in research and development and future prospects

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