Heat stress is a major production constraint of wheat in South Asia, particularly in the Gangetic plains of India and Bangladesh. The leaf chlorophyll status is a key determinant for a high rate of photosynthesis under stress. The present experiments included 238 genotypes in 2016–2017 and 321 genotypes in 2017–2018 under optimum and under heat stress conditions. Subsequently, a set of 100 genotypes selected on basis of the heat susceptibility index was evaluated in 2018–2019 under heat stress conditions to study the relationship between important physiological traits and yield under stress. A significant correlation of soil plant analysis development (SPAD) value of the two upper leaves with stay-green trait and grain yield indicates the importance of chlorophyll content, both in flag and penultimate leaf, in maintaining leaf areas under greenness (LAUG) and grain yield under heat stress. The SPAD in the flag and penultimate leaf was responsible for 8.8% and 10.9%, respectively, of the variation in grain yield. For the stay-green trait, 8.4% and 7.2 % of the variation was governed by the SPAD value in the flag and penultimate leaf, respectively. These results suggest that, in addition to the flag leaf, the chlorophyll status of the penultimate leaf can be an important criterion for the selection of superior wheat genotypes under heat stress. The genotypes SW-139; SW 108; DWR-F8-35-9-1; NHP-F8-130; DWR-F8-3-1 that maintained a high chlorophyll content in the flag and penultimate leaf can be used further in breeding programmes addressing heat resistance in wheat.

In video transmission applications, video signals are transmitted over lossy channels, resulting in low-quality received signals. To restore videos on recipient edge devices in real-time, we introduce an efficient video restoration network, EVRNet. EVRNet efficiently allocates parameters inside the network using alignment, differential, and fusion modules. With extensive experiments on different video restoration tasks (deblocking, denoising, and super-resolution), we demonstrate that EVRNet delivers competitive performance to existing methods with significantly fewer parameters and MACs. For example, EVRNet has 260× fewer parameters and 958× fewer MACs than enhanced deformable convolution-based video restoration network (EDVR) for 4× video super-resolution while its SSIM score is 0.018 less than EDVR. We also evaluated the performance of EVR-Net under multiple distortions on unseen dataset to demonstrate its ability in modeling variable-length sequences under both camera and object motion. CCS CONCEPTS• Information systems → Mobile information processing systems.

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Aim: Chital and sambar are the common wild small herbivores, which are vulnerable to poaching for their meat. Many times poachers claim the wild meat to be that of goat or sheep. Hence, authentic evidences are required to stop such wildlife crime. The present investigation was carried out to study the species specific PCR-RFLP patterns for meat identification of chital and sambar and then differentiation from the meat of goat and sheep. Materials and Methods: Extracted DNA from meat samples were subjected to PCR using the universal primers of 12S rRNA gene. The PCR products were subjected to RFLP and sequencing. Results: The size of amplified PCR products was similar (440 bp) in each species and sequence alignment showed more than 89 % similarities among these species. However, phylogenetic analysis revealed that Chital and Sambar are in one cluster while Goat and sheep are in other cluster. To differentiate between species, restriction digestion of the PCR products was carried out to produce characteristic PCR-RFLP patterns for each species. Restriction digestion with RsaI and AluI enzymes produced distinct PCR-RFLP patterns that differentiated the meat of wild species (chital-sambar) from that of domestic species (goat-sheep). BsrI restriction digestion revealed unique PCR-RFLP pattern in chital differentiating it from the meat of other three species. Restriction digestion with DdeI enzyme led to the production of distinct PCR-RFLP patterns for chital and sambar to identify their meat individually. Conclusion: This study showed the effectiveness of 12S rRNA gene polymorphism in meat identification. The data can be used as evidence against the poachers to convict the wildlife crime in the court of law [Vet World 2013; 6(5.000): 254-259