查看更多>>摘要：Present work aimed to study the in vitro pollen viability and germinability of gamma ray irradiated pollens of Citrus limetta and C. sinensis. At highest irradiation dose (400 Gy), the rate of reduction of pollen viability and in vitro germination over respective control was recorded minimum in C. limetta (8.58 and 28.00%, respectively) as compared to C. sinensis. Maximum pollen tube length (263.67 mu m) at 24 h after incubation was measured in C. sinensis, however, at 48 and 72 h after incubation, it was recorded maximum in C. limetta (299.69 and 322.25 mu m, respectively). While using this irradiated pollen for controlled pollination of C. grandis, no mature fruit was retained on the tree in either cross combinations when pollen grains were treated with 400 Gy. Among the harvested fruits, number of normal seeds per fruit was reduced gradually with the increasing concentration of irradiation doses and less than three normal seeds were obtained per fruit in either cross combinations with 300 Gy irradiation doses. Our experiment revealed that controlled pollination of C. grandis with irradiated pollen (300 Gy) of C. limetta and C. sinensisis is an effective tool for induction of seedlessness in C. grandis. However, for haploid breeding programme in Citrus, C. limetta can be employed as more reliable pollen parent as compared to C. sinensis.
Padala, Vinod K.Ramya, N.Rajashekhar, MandlaKeerthi, M. C....
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查看更多>>摘要：Leaf beetle commonly called Singhara beetle, Galerucella birmanica, is the main insect pest in the water chestnut crop. In this experiment, we studied the control efficacy of Chlorpyrifos seedling root dip against Singhara beetle and its effect on the density of natural enemy population and yield of water chestnut under the field condition during 2021. The results revealed that seedling root dip with Chlorpyrifos @0.05% (RAMBAN (R)) effectively controls the Singhara beetle, where the minimum number of all the life stages was recorded on root dip-treated plants, and duration of root dip has no significant effect on Singhara beetle incidence. Seedling root dip has no adverse effect on natural enemy populations such as spiders and water striders. Further, the highest yield was recorded from 6 h of root dip treatment. Hence, the seedling root dip of water chestnut protects the crop against early stage infestation by Singhara beetle, thereby reducing the significant yield loss.
查看更多>>摘要：The present study reports a new distributional record of Anthemiphyllia dentata (Alcock, 1902), a deep-sea azooxanthellate coral belonging to the family Anthemiphylliidae in the Indian waters at the depth of 322 m from Andaman and Nicobar Islands. This species, genus, and the family are reported for the first time to Indian waters. The detailed morphological characteristic features along with previous distributional records are illustrated here.
查看更多>>摘要：This paper reports Nerocila kisra Bowman and Tareen, 1983, for the first time from the coastal waters of India. It was collected from bycatch trash of Kumbhabhishekam fishing harbour, Kakinada (Andhra Pradesh). It is the first record of this species from this area beyond its type locality Persian Gulf. This species is characterised by the presence of serrated endopod and triangular cephalon. The present manuscript also discussed how this species is different from the other related species under the subgroup Emphylia.
查看更多>>摘要：Endophytic biology is an emerging field due to their wide range of application in various sectors including agriculture, pharmaceutical, medical, and industries. The endophytic phytomicrobiomes residing inside the tissue of the plant have gained the momentum for plant growth promotion (PGP), crop production and protection along with sustaining the environmental health. Considering the importance of sustainability, the present study aimed to characterize and evaluate the plant growth promoting endophytic microbes with nitrogen fixing ability. A total of 52 putative endophytic bacteria were isolated from wild wheat relative Aegilops kotschyi growing in the Himalayan regions. All the isolates were screened for nitrogen-fixing attributes, and the selected nitrogen fixing bacteria were screened for other PGP attributes including solubilizing of phosphorus, potassium and zinc; production of siderophores, ammonia and hydrogen cyanide. Efficient microbe having capability to fix nitrogen was identified as Rahnella sp. strain EU-A3SNfb using 16S rRNA gene sequencing and BLASTn analysis. The selected bacterial strain was evaluated for growth of Aegilops kotschyi, and results showed the significant improvement in the physiological parameters, chlorophyll, total soluble sugar, phenolics and flavonoid content as compared to recommended dose of chemical fertilizer and untreated control. This efficient bacterial strain EU-A3SNfb could be used as bioinoculants for cereal crops growing in hilly region for agricultural sustainability.
查看更多>>摘要：Biodiesel is a type of alternative diesel fuel made from transesterification vegetable or animal oils. It is used in ignition engines for locomotives, heat generation, stationary power, and aviation fuels. Cashew nut shell liquid (CNSL) biodiesel is blended with diesel in different ratios to study the behavior of diesel engines against different environment emissions parameters such as carbon dioxide (CO2), carbon monoxide (CO), hydrocarbons (HC), nitrogen oxides (NOx), and smoke. The performance of the diesel emission parameters is assessed using machine learning based on multiple linear regression, artificial neural networks (ANN), and random forest regression models.
查看更多>>摘要：Diabetes is a chronic metabolic disorder causing high blood sugars, that further severely affect body parts like the heart, liver, kidneys, lungs, eyes, nerves, blood vessels etc. There are three types of diabetes- Type-1 Diabetes, Type-2 Diabetes, and Gestational Diabetes. In Type-1, body of the patient fails to produce insulin. In Type-2 diabetes, cells of the body fails to respond to insulin effectively. Gestational diabetes occurs during pregnancy. There are many approaches used to analyse this disease. We have used the Machine learning approach for analysing diabetes. We have used 768 records from "pima diabetes dataset". In this paper, we have used Logistic regression with Train Test Split, K-Fold cross-validation and Stratified K-Fold approach.
查看更多>>摘要：As the development and usage of autonomous machines and industrial IoT in manufacturing/production companies is becoming more active, machine fault identification has become a core component in any industrial environment. This research proposes a fault identification deep learning methodology to identify motor failures in industrial machines used in tile manufacturing. The deep learning model imports open-source machinery fault dataset of induction motors used in tile industries which contains parameters such as rpm, vibration, radial, axial and tangential direction values obtained using high-end sensors interfaced with an industrial test rig known as MFS-Machinery Fault Simulator. Furthermore, the model is fine-tuned using transfer learning techniques using pre-trained networks, and the performance of the model is assessed using accuracy metrics like Kappa Statistic: K, Overall Accuracy: OA and Average Accuracy: AA. The accuracy rate of 97.61% proves the effectiveness of the proposed fault identification model, thereby ensuring proficient and smooth operation of industrial machines.
查看更多>>摘要：This work reports the peak strength (PS)-based comparative analysis of composite filaments prepared with reinforcement of wood dust (WD), bakelite powder (BP), and Fe powder, respectively, through three different blending routes (mechanical, mechanical-hybrid (secondary (2 degrees) recycling), and chemically assisted mechanical blending (tertiary (3 degrees) recycling), by altering the twin-screw extruder (TSE) processing parameters for addressing issues related to recycling and self-assembly. Experimental results illustrated that the combination of blending route and processing parametric levels influences the filament porosity along with the bonding characteristics between the base matrix and reinforced material and thus affects the PS of composite filaments.
查看更多>>摘要：Commercially the orthopedic implants (OI) of metals/alloys/polymers are being widely used in clinical applications. But hitherto little has been reported on partially absorbable OI for supporting osteointegration and online health monitoring. This study outlines the 3D printed partially absorbable innovative OI comprising of 17-4 precipitate hardened stainless steel (as conductor and ground plane) and polylactic acid-based composite with the reinforcement of hydroxyapatite, and chitosan (as dielectric material). The 3D printed innovative OI of multi-materials was explored for online sensing capabilities based upon dielectric constant (epsilon(r)) and loss tangent (tan delta) of dielectric material. The radio frequency and polarization resistance (R-p) analysis under the effect of simulated body fluid was conducted to ascertain the health of innovative OI in the industrial, scientific, and medical band as an internet of things-based solution.
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Springer Nature