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The parental care strategy and diet requirements of the yellow-vented bulbul Pycnonotus goiavier chicks were studied. The assessment was conducted based on the (1) number of feeding bouts (bouts/hour), (2) average time intervals between each feeding (minutes/bouts) (3) feeding strategies (perch-go-in or direct-go-in) and (4) types of food items carried to the nest to feed the chicks. A total of 6000 minutes of direct observation from a close distance was performed for 10 days from 28th May 2016 until 6th June 2016 between 0700-1900 hours. Out of 816 independent feeding bouts, the parents preferred the perch-go-in (80.03%) as compared to the direct-go-in (19.97%) feeding strategy to feed the chicks in their nest. The average time spent for feeding was 7.50 ± 3.84 minutes / bout (7.50 ± 1.23 bouts/h), with the least number of bouts during the morning feeding time at 5.68 ± 3.09 bouts/h. The most frequent food items comprised of invertebrates such as dragonflies (16.15%) and grasshoppers (11.35%) and fruits including Murraya koenigii (14.02%). The success of raising both the chicks depended on the nest placement, feeding strategy, food availability, predation risk and commitment of both parents. [ABSTRACT FROM AUTHOR]

Abstract Background Recent studies have shown that plant genomes have potentially undergone rampant horizontal gene transfer (HGT). In plant parasitic systems HGT appears to be facilitated by the intimate physical association between the parasite and its host. HGT in these systems has been invoked when a DNA sequence obtained from a parasite is placed phylogenetically very near to its host rather than with its closest relatives. Studies of HGT in parasitic plants have relied largely on the fortuitous discovery of gene phylogenies that indicate HGT, and no broad systematic search for HGT has been undertaken in parasitic systems where it is most expected to occur. Results We analyzed the transcriptomes of the holoparasite Rafflesia cantleyi Solms-Laubach and its obligate host Tetrastigma rafflesiae Miq. using phylogenomic approaches. Our analyses show that several dozen actively transcribed genes, most of which appear to be encoded in the nuclear genome, are likely of host origin. We also find that hundreds of vertically inherited genes (VGT) in this parasitic plant exhibit codon usage properties that are more similar to its host than to its closest relatives. Conclusions Our results establish for the first time a substantive number of HGTs in a plant host-parasite system. The elevated rate of unidirectional host-to- parasite gene transfer raises the possibility that HGTs may provide a fitness benefit to Rafflesia for maintaining these genes. Finally, a similar convergence in codon usage of VGTs has been shown in microbes with high HGT rates, which may help to explain the increase of HGTs in these parasitic plants.

In video processing, feature extraction and classification are necessary steps to classify the video frames. To improve accuracy, an efficient texture-based feature extraction is required. Also, before improving the feature extraction, the background subtraction step is almost equal to the ground truth level. An efficient real-time video object recognition and classification utilizing hybrid texture feature extraction are proposed. A stationary wavelet transform-based joint bilateral filtering is used to remove the noise. An effective background subtraction is employed before extracting the features. In feature extraction, hybrid texture feature extraction is proposed where gray level co-occurrence matrix (GLCM) and discrete wavelet transform (DWT) features are combined and applied to the categorization process. The GLCM is used to extract the second-order statistical texture features for the estimation of motion in the videos. And, the DWT algorithm reduces the storage space in real-time video processing. The main objectives are to implement the real-time video object detection and classification using the hybrid texture feature extraction method called the GLCM-DWT technique, and investigate the performance evaluation of the proposed methodology and compare with the existing technique. The parameters, namely accuracy, sensitivity, specificity, and execution time are to be evaluated for the proposed algorithm in the MATLAB software. [ABSTRACT FROM AUTHOR]