Effect of plant growth regulators on growth, yield and fruit quality of strawberry (Fragaria x ananassa Duch.) under protected conditions

A field trial was conducted during 2015 and 2016, to study the effect ofgrowth regulators on growth, flowering, yield and fruit quality of strawberry cv. Chandler. The experiment was laid out in completely randomized design with 16 treatments viz.CPPU at 1, 2 and 4 ppm, GA3 at 25, 50 and 75 ppm, Promalin at 2, 4 and 6 ppm, GA4+7 at 5, 10 and15 ppm, NAA at 10, 20 and 30 ppm and control (water spray) and each treatment was replicated thrice. The results revealed that the plants sprayed with 15 ppm GA4+7 two weeks before flowering significantly reported highest plant height (33.43 cm), leaf area (239.70 cm2), number of flowers (31.94), fruit set (87.45 %), number of fruits per plant (29.02), yield (540.01 g/plant), fruit length (53.63 mm) and fruit diameter (37.19 mm) and fruit weight (23.70 g) as compared to control. This treatment resulted in 196.36 % increase in yield and 56.22 %in fruit weight over control. Plants sprayed with 6 ppm promalin also showed significant improvement in vegetative growth, fruit size, yield and fruit quality, which resulted in 137.92 % increase in yield and 51.81 % increase in fruit weight over control. Hence, it is concluded that foliar spray of 15 ppm GA4+7 applied 2 weeks before flowering is beneficial in improving growth, yield and fruit quality of strawberry plants

Effect of plant growth regulators on growth, yield and fruit quality of strawberry (Fragaria x ananassa Duch.) under protected conditions

A field trial was conducted during 2015 and 2016, to study the effect ofgrowth regulators on growth, flowering, yield and fruit quality of strawberry cv. Chandler. The experiment was laid out in completely randomized design with 16 treatments viz.CPPU at 1, 2 and 4 ppm, GA3 at 25, 50 and 75 ppm, Promalin at 2, 4 and 6 ppm, GA4+7 at 5, 10 and15 ppm, NAA at 10, 20 and 30 ppm and control (water spray) and each treatment was replicated thrice. The results revealed that the plants sprayed with 15 ppm GA4+7 two weeks before flowering significantly reported highest plant height (33.43 cm), leaf area (239.70 cm2), number of flowers (31.94), fruit set (87.45 %), number of fruits per plant (29.02), yield (540.01 g/plant), fruit length (53.63 mm) and fruit diameter (37.19 mm) and fruit weight (23.70 g) as compared to control. This treatment resulted in 196.36 % increase in yield and 56.22 %in fruit weight over control. Plants sprayed with 6 ppm promalin also showed significant improvement in vegetative growth, fruit size, yield and fruit quality, which resulted in 137.92 % increase in yield and 51.81 % increase in fruit weight over control. Hence, it is concluded that foliar spray of 15 ppm GA4+7 applied 2 weeks before flowering is beneficial in improving growth, yield and fruit quality of strawberry plants

Automatic video censoring system using deep learning

Due to the extensive use of video-sharing platforms and services, the amount of such all kinds of content on the web has become massive. This abundance of information is a problem controlling the kind of content that may be present in such a video. More than telling if the content is suitable for children and sensitive people or not, figuring it out is also important what parts of it contains such content, for preserving parts that would be discarded in a simple broad analysis. To tackle this problem, a comparison was done for popular image deep learning models: MobileNetV2, Xception model, InceptionV3, VGG16, VGG19, ResNet101 and ResNet50 to seek the one that is most suitable for the required application. Also, a system is developed that would automatically censor inappropriate content such as violent scenes with the help of deep learning. The system uses a transfer learning mechanism using the VGG16 model. The experiments suggested that the model showed excellent performance for the automatic censoring application that could also be used in other similar applications

Evaluating Paraphrastic Robustness in Textual Entailment Models

We present PaRTE, a collection of 1,126 pairs of Recognizing Textual Entailment (RTE) examples to evaluate whether models are robust to paraphrasing. We posit that if RTE models understand language, their predictions should be consistent across inputs that share the same meaning. We use the evaluation set to determine if RTE models' predictions change when examples are paraphrased. In our experiments, contemporary models change their predictions on 8-16\% of paraphrased examples, indicating that there is still room for improvement

Nonlinear modelling of sheep and goat populations in India

The objective of this paper was to study the trend in population of sheep and goat populations during 1951 to 2012 in India. The data were compiled from various issues of BAHS (Basic Animal Husbandry Statistics) for the period 1951 to 2012. Different nonlinear growth models such as Parabolic/Sikka, Brody, Brody modified, Wood, Logistic and Gompertz models were fitted to the census data of sheep and goat population. The goodness of fit of the models was tested by Coefficient of determination (R2), Adjusted coefficient of determination (R2), Mean Square Error (MSE), Mean Absolute Error (MAE) and Akaike Information Criteria (AIC). The populations of sheep and goat in India during the year 1951 were 39.10 million and 47.20 million numbers respectively and reached 135.17 million and 65.06 million respectively in the year 2012. Based on the various measures of goodness of fit we observed that the Parabolic/Sikka model was the best fitted model for studying the pattern in the populations of sheep and goat in India. This model has been used to project the sheep and goat population in India during 2020, 2025 and 2030. If the present pattern of growth continued in near future then the projected sheep population will be 102.37 million numbers whereas goat population will be 151.57 million numbers in the year 2030. The present study will provide the pattern in which the changes have been observed in sheep and goat populations in India during 1951 to 2012

Performance of Chilli (Capsicum annuum L.) hybrids for yield and quality traits

Twenty-eight F1 combinations of chilli (Capsicum annuum L.) obtained from half-diallel cross along with eight diverse parents were evaluated in a field study to elucidate the information on the extent of mean performance of various horticultural traits. The analysis revealed that all the genotypes possessed wide spectrum of variability and showed significant differences for parents and hybrids for the traits studied. For parents UHF CHI 13 (216.20), UHF CHI 15 (193.80), UHF CHI 5 (139.00) and for hybrids H1 (182.60), H9 (181.40) and H7 (172.80) hold highest fruit count per plant. The parents UHF CHI 5 (1047.13 g), UHF CHI 15 (949.62 g) and UHF CHI 7 (912.61 g) and cross combinations H17 (1535.10 g), H8 (1320.00), H6 (1229.76) and H18 (967.60) recorded the high ripe fruit yield per plant. As for earliness, parents UHF CHI 5 (43.33), UHF CHI 11 (45.00), UHF CHI 7 (45.33) and hybrids H27 (42.67), H26 (43.00) and UH28 (43.00) took minimum days for flowering. For pungency UHF CHI 12 (0.28 %), UHF CHI 13 (0.26 %), DKC-8 (0.24 %) and H23 (0.33 %), H5 (0.31 %), H26 (0.26 %) recorded high capsaicin content

Trans-Scleral Plugs Fixated FIL SSF IOL: A Review of the Literature and Comparison with Other Secondary IOL Implants

Purpose. To revise the current literature on FIL SSF (Carlevale) intraocular lens, previously known as Carlevale lens, and to compare their outcomes with those from other secondary IOL implants. Methods. We performed a peer review of the literature regarding FIL SSF IOLs until April 2021 and analyzed the results only of articles with a minimum of 25 cases and a follow-up of at least 6 months. The searches yielded 36 citations, 11 of which were abstracts of meeting presentations that were not included in the analysis because of their limited data. The authors reviewed 25 abstracts and selected six articles of possible clinical relevance to review in full text. Of these, four were considered to be sufficiently clinically relevant. Particularly, we extrapolated data regarding the pre- and postoperative best corrected visual acuities (BCVA) and the complications related to the procedure. The complication rates were then compared with those from a recently published Ophthalmic Technology Assessment by the American Academy of Ophthalmology (AAO) on secondary IOL implants. Results. Four studies with a total of 333 cases were included for results analysis. The BCVA improved in all cases after surgery, as expected. Cystoid macular edema (CME) and increased intraocular pressure were the most common complications, with an incidence of up to 7.4% and 16.5%, respectively. Other IOL types from the AAO report included anterior chamber IOLs, iris fixation IOLs, sutured iris fixation IOLs, sutured scleral fixation IOLs, and sutureless scleral fixation IOLs. There was no statistically significant difference in the rates of postoperative CME (p = 0.20), and vitreous hemorrhage (p = 0.89) between other secondary implants and the FIL SSF IOL, whereas the rate of retinal detachment was significantly less with FIL SSF IOLs (p = 0.04). Conclusion. The results of our study suggest the implantation of FIL SSF IOLs is an effective and safe surgical strategy in cases where there is a lack of capsular support. In fact, their outcomes seem to be comparable to those obtained with the other available secondary IOL implants. According to published literature, the FIL SSF (Carlevale) IOL provides favorable functional results with a low rate of postoperative complications

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data