Vegetable amaranth is one of the popular leafy vegetable that occupies a prominent place in India owing to its high nutritive value and fast growing ability. The presence of considerable genetic variability in the amaranth along with very high phenotypic plasticity demands the development of stable genotypes to secure sustainable production. The present research was carried out to quantify the effect of genotype x environment interaction on the performance of 30 identified promising genotypes of vegetable amaranth. The experiment was laid out in the Randomized Complete Block Design with three replications at three locations viz., Arabhavi, Dharwad and Bagalkot during kharif 2018-19. Stability analysis was done as per the linear regression model described by Eberhart and Russell [1] that measures the genotypic response to changing environments. Variance due to environment + (genotype x environment) was significant for four of the studied traits viz., fresh green yield per hectare, fresh green yield per plant, plant height and leaf length which specified the existence of noteworthy interaction between the genotypes and the environmental conditions. The accessions, VA-16, CO-1, IC-553719 and IC-469645 have been identified as the high yielding stable genotypes for fresh green yield. Stable accessions for plant height include IC-536714, IC-541407, Arka amaranth, IC-469579 and IC-553719 and for leaf length were CO-1, IC-550143, IC-551472, IC-536714 and IC-469722. Further, some stable accessions for yield and its attributes were indicated that can be, commercialised or used in future breeding programs.
Xanthomonas citri pv. punicae (Xcp) causing bacterial blight is a devastating disease of pomegranate in India and Pakistan. Most of Xanthomonads use the type III secretion system to inject transcription activator-like effector (TALE) proteins into host cell. TALEs bind to the effector binding elements in the promoter of host susceptibility genes triggering disease development. PacBio single-molecule real-time (SMRT) long-read sequencing technology was used to identify the TALE encoding genes, which is otherwise not possible using next-generation short-read sequencers. 1.74 Gb raw data containing 368980 subreads with an average read length of 4724 bp and longest read length of 77471 were generated. Subreads were assembled into 15 scaffolds generating ~5.4 Mb (348x) genome. Xcp exhibited close lineage with X. citri pv. citri with 98.78% average nucleotide identity. Of the 4263 protein-coding genes, eleven non-TALE type III effectors and two TALE encoding genes were identified.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.