Distribution of freshwater turtles in Punjab, Pakistan

A total of 3528 specimens of freshwater turtles belonging to two families viz., Geoemydidae (brown river turtle, Kachuga smithi; Indian saw-backed turtle, K. tecta; Brahminy river turtle, Hardella thurgi; spotted pond turtle, Geoclemys hamiltonii) and Trionychidae (Indian soft-shell turtle, Aspederates gangeticus; peacock soft-shell turtle, A. hurum; narrow-headed soft-shell turtle, Chitra indica; Indian flap-shell turtle, Lissemys punciata) were identified. Kachuga smithi (43.62%) and K. tecta (42.06%) had abundant population status, whereas, Hardella thurgi (0.88%) and Chitra indica (0.54%) were rare. Capturing of turtles for supply to foreigners and export is a major threat to these animals. Fishermen also kill them during fishing. Canal closure and de-silting is also harmful to turtles. It is concluded that it is necessary to provide immediate legal protection/coverage to all turtle species under the Punjab Wildlife Act, 1974, Pakistan; otherwise turtle species will become extinct

Interaction Effect of Season, Habitat and Leaf Age on Proximate Composition of Senna occidentalis and Senna obtusifolia Leaves Grown in Fadama and Upland Locations in Sokoto, Nigeria

This study was aimed to assess the effect of season, habitat and leaf age on proximate composition of leaves of Senna occidentalis L. and S. obtusifolia L. Leaves samples were collected from stands of Fadama Research Farm and Upland (Biological garden) at Permanent Site, Usmanu Danfodiyo University Sokoto and analyzed for nutrient contents using oven drying, muffle furnace ashing, soxhlet extraction, distillation and ashing, micro Kjeldahl method, and difference (NFE) methods. Data was subjected to ANOVA and LSD at 0.05% for means separation. The results for interaction effect were all statistically significant (P<0.05) in the leaves of the two Senna species and were influenced variedly by the treatment factors. Specifically, rainy subseason, fadama and upland habitats, young and matured leaves treatments favoured most of the nutrient contents (e.g. moisture, ash, crude fibre and NFE) in the following ranges : Moisture (31.37 - 81.07%), Ash (3..50 - 80.00%), Crude Fibre (1.00 – 12.50%), Ether Extract (1.07–5.47 %), Crude Protein (7.13 – 18.94 %) and NFE (60.49 - 83.66%). This indicates that season, habitat and leaf age are important factors affecting plant growth and development. The results suggest that the species may be sources of the nutrients studied and could enrich the dietary intake of individuals.Keywords: Interaction effect, Season, Habitat, Leaf age, Proximate composition, Senn

Failure Prediction using Machine Learning in a Virtualised HPC System and application

YesFailure is an increasingly important issue in high performance computing and cloud systems. As large-scale systems continue to grow in scale and complexity, mitigating the impact of failure and providing accurate predictions with sufficient lead time remains a challenging research problem. Traditional existing fault-tolerance strategies such as regular check-pointing and replication are not adequate because of the emerging complexities of high performance computing systems. This necessitates the importance of having an effective as well as proactive failure management approach in place aimed at minimizing the effect of failure within the system. With the advent of machine learning techniques, the ability to learn from past information to predict future pattern of behaviours makes it possible to predict potential system failure more accurately. Thus, in this paper, we explore the predictive abilities of machine learning by applying a number of algorithms to improve the accuracy of failure prediction. We have developed a failure prediction model using time series and machine learning, and performed comparison based tests on the prediction accuracy. The primary algorithms we considered are the Support Vector Machine (SVM), Random Forest(RF), k-Nearest Neighbors (KNN), Classi cation and Regression Trees (CART) and Linear Discriminant Analysis (LDA). Experimental results indicates that the average prediction accuracy of our model using SVM when predicting failure is 90% accurate and effective compared to other algorithms. This f inding implies that our method can effectively predict all possible future system and application failures within the system.Petroleum Technology Development Fund (PTDF) funding support under the OSS scheme with grant number (PTDF/E/OSS/PHD/MB/651/14

Incidental finding of autosomal dominant polycystic kidney disease in a 52-year-old man: a case report.

Autosomal dominant polycystic kidney disease (ADPKD) also known as Adult Polycystic Kidney Disease (APKD) is one of the most common systemic hereditary diseases. The disease usually presents between 20 to 39 years of age, although milder forms may not present until over 60 years and absence of renal failure has been rarely observed in some patients up to 80 years of age. Three distinct gene defects have been implicated in the pathogenesis of APKD designated as PKD1, PKD2, and PKD3. Patients with APKD may be asymptomatic, or may usually present with hypertension (in 50-70% of cases), renal insufficiency, and the complications of multiple cysts (haematuria, pain and infection) or as an abdominal mass discovered on incidental clinical or imaging examination. APKD is said to be rare in Africans. Case report: We report a case of an incidental finding of autosomal dominant polycystic kidney disease (ADPKD) in a 52-year-old normotensive man with a normal renal function test. Haematuria, dysuria and low-grade fever were the presenting complaints. The role of radiology in the diagnosis and management of ADPKD was highlighted. Conclusion: Although APKD is rare in Africans, a high index of suspicion for the disease is essential for the diagnosis of the disease especially in elderly patients with a family history of APKD who present with haematuria associated with multiple renal cysts

A critical review on the improvement of drought stress tolerance in rice (Oryza sativa L.)

Abiotic stresses are the primary threat to crop production across the globe. Drought stress is primary abiotic stress which is considerably limiting the global rice production and putting the food security at higher risks. Drought tolerance (DT) is a multigene trait which is influenced by various stages of development in rice plant. Tolerance as well as susceptibility of rice to drought stress is carried out by different drought-response genes and other components of stress. Plant researchers have used various methods such as, genetic manipulation and marker-assisted techniques for development of new rice cultivars with improved tolerance to drought stress. The aims of this review are to present recent advancements and illustrate current approaches to breed a robust drought-resistant rice genotypes by using classical breeding and advanced molecular techniques. We also shed light on all available information regarding the role of significant hormones in DT, QTL for drought-related traits, QTL for rice yield, global strategies for the improvement of DT in rice, DT genes, and selection supported by markers

The critical role of nitrogen in plants facing the salinity stress: Review and future prospective

Salinity stress is a serious abiotic stress that negatively affect the crop growth and development. Mineral nutrient supplementation is considered as an effective strategy to mitigate the adverse effects of salinity. Nitrogen (N) is an important nutrient needed for plants and its application also an effective strategy to mitigate adverse impacts of salinity. Salinity stress disturbs plant physiological, and biochemical functions, antioxidant activities, cellular membranes, antioxidant activities and nutrient uptake thereby cause significant reduction in plant growth and development. The application of N maintains membrane stability, plant water relations, leaf gas exchange characteristics, and protect the plants from oxidative damages which induce the salt tolerance in plants. Besides, this N also improves nutrient uptake and it also induce cellular signaling that mitigate the adverse impacts of salinity. Therefore, it is interesting to understand the role of N in inducing salt tolerance in plants. In present review the mechanisms of N uptake and assimilation in plants under saline conditions are discussed. The present review provides information on how N mitigates ionic toxicity, and oxidative damages and maintains nutrient balance to counter the toxic effects of salinity stress in plants. This review will help the readers to learning more about the role of N in inducing salt tolerance in plants

Foliar applied proline and acetic acid improves growth and yield of wheat under salinity stress by improving photosynthetic pigments, physiological traits, antioxidant activities and nutrient uptake

Salinity stress (SS) is serious abiotic stress and a major limiting factor for crop productivity and global food security. In this context, the application of osmolytes is considered as an environmental friend approach to improve plant growth under SS. Thus, the present study was conducted to determine the impact of foliar applied proline (Pro) and acetic acid (AA) on growth, yield, physiological traits, photosynthetic pigments, ionic homeostasis and antioxidant activities of wheat under SS. The study contained SS levels 0, 6 and 12 dS m-1 and foliar spray of Pro and AA; water spray, Pro (75 mM), AA (15 mM) and AA (30 mM). The study was conducted in a completely randomized design with the factorial arrangement. Salinity stress significantly reduced wheat growth and yield, by decreasing relative water contents (-49.07%), photosynthetic pigments, free amino acids (FAA: -44.79%), total soluble proteins (TSP: -15.94%) and increasing the electrolyte leakage (EL: +27.28%), hydrogen peroxide (H2O2: +51.86%), and malondialdehyde (MDA: +36.91%) accumulation. The foliar spray of Pro and AA markedly improved the wheat growth and productivity through enhanced photosynthetic pigments, RWC, FAA, TSP, antioxidant activities (catalase: CAT, ascorbate peroxide: APX: peroxidase: POD), K+ and Ca2+ uptake and decreasing EL, MDA and H2O2 accumulation and restricted entry of toxic ions (Na+ and Cl-1).  Therefore, foliar application of AA and Pro effectively improves the growth and yield of wheat under SS by strengthening the antioxidant defense system, and maintaining ionic homeostasis and physiological performance

Foliar applied zinc on different growth stages to improves the growth, yield, quality and kernel bio-fortification of fine rice

Zinc (Zn) is an essential needed for the growth and development of plants, however, Zn is continuously increasing in our soils which is decreasing crop production. Further, the crops grown on Zn-deficient soils also contains a low amount of Zn which is also a major reason for Zn deficiency in humans. So, it is mandatory to supply the Zn to fulfil the crop needs with a corresponding increase in grain Zn. Therefore, the present study was performed to determine the impact of different rates of foliar applied Zn at different growth stages on the growth, yield, quality, and Zn bio-fortification of fine rice. The study comprised foliar application of distilled water (control), foliar applied Zn @ 0.5% at stem elongation stage + booting stage, foliar applied Zn @ 1.0% at stem elongation stage + booting stage, foliar applied Zn @ 0.5% at booting stage and milking stage, foliar applied Zn @ 1.0% at booting stage and milking stage, foliar applied Zn @ 0.5% at milking stage + dough stage and applied Zn @ 1.0% at milking stage + dough stage. The results indicated Zn applied different growth stages significantly improved, productivity and Zn bio-fortification of rice crop. The maximum LAI, LAD, CGR, fertile tillers, 1000 KW, kernel yield, biomass yield, HI, chlorophyll concentration, relative water content (RWC), and antioxidant activities were observed with foliar applied Zn (0.5%) at booting and milking stage and lowest values of all these traits were observed in control. Likewise, the maximum kernel protein, amylose, kernel length and width, and grain Zn concentration was Zn (0.5%) at the booting and milking stage, and minimum kernel protein, amylose, kernel length, and width, and grain Zn concentration was noted in control. The current study findings suggested that foliar-applied Zn (0.5%) at the booting and milking stage could be an important practice to get better productivity, quality, and grain Zn bio-fortification of rice in semi-arid conditions

Trehalose induced drought tolerance in plants: physiological and molecular responses

Drought stress is significant abiotic stress that limits crop growth and productivity across the globe. The intensity of drought stress continuously rises due to rapid climate change. Drought-induced alterations in physiological and bio-chemical processes by generating membrane dis-stability, oxidative stress, nutritional imbalance and leading to substantial reduction in growth and productivity. Plants accumulate various osmolytes that protect themselves from abiotic stresses' harmful effects. Trehalose (Tre) is a non-reducing sugar found in multiple microbes ranging from bacteria to yeast and in plants and it possesses an excellent ability to improve drought tolerance. Trehalose appreciably enhanced the plant growth, and counter the drought induced damages by maintaining cellular membranes, plant water relations, stomatal regulation, photosynthetic activities, nutrient uptake, osmolyte accumulation, activating stress proteins and detoxifying the reactive oxygen species (ROS) by strengthening the anti-oxidant system. Therefore, it is essential to understand the mechanism of exogenous and endogenous Tre in mitigating the drought-induced damages and to identify the potential research questions that must be answered in the future. Therefore, to better appraise the potential benefits of Tre in drought tolerance in this review, we discussed the diverse physiological and molecular mechanisms regulated by Tre under drought stress. We have a complete and updated picture on this topic to orientate future research directions on this topic

Spatial distribution of carbon dynamics and nutrient enrichment capacity in different layers and tree tissues of Castanopsis eyeri natural forest ecosystem

Forest ecosystem carbon (C) storage primarily includes vegetation layers C storage, litter C storage, and soil C storage. The precise assessment of forest ecosystem C storage is a major concern that has drawn widespread attention in global climate change worldwide. This study explored the C storage of different layers of the forest ecosystem and the nutrient enrichment capacity of the vegetation layer to the soil in the Castanopsis eyeri natural forest ecosystem (CEF) present in the northeastern Hunan province, central China. The direct field measurements were used for the estimations. Results illustrate that trunk biomass distribution was 48.42% and 62.32% in younger and over-mature trees, respectively. The combined biomass of the understory shrub, herb, and litter layers was 10.46 t·hm−2, accounting for only 2.72% of the total forest biomass. On average, C content increased with the tree age increment. The C content of tree, shrub, and herb layers was 45.68%, 43.08%, and 35.76%, respectively. Litter C content was higher in the undecomposed litter (44.07 %). Soil C content continually decreased as the soil depth increased, and almost half of soil C was stored in the upper soil layer. Total C stored in CEF was 329.70 t·hm−2 and it follows the order: tree layer > soil layer > litter layer > shrub layer > herb layer, with C storage distribution of 51.07%, 47.80%, 0.78%, 0.25%, and 0.10%, respectively. Macronutrient enrichment capacity from vegetation layers to soil was highest in the herb layer and lowest in the tree layer, whereas no consistent patterns were observed for trace elements. This study will help understand the production mechanism and ecological process of the C. eyeri natural forest ecosystem and provide the basics for future research on climate mitigation, nutrient cycling, and energy exchange in developing and utilizing sub-tropical vegetationThis research was financially supported by research funding from Central South University of Forestry and Technology and the Hunan province finance department (No.70702-45200003