ABSTRACT
Rauvolfia serpentina, family Apocynaceae, is widely cultivated in India and adjoining countries for the production of roots used in several herbal formulations (1). Severe mosaic and stunting of the whole plant was observed on R. serpentina growing in experimental plots of NBRI, Lucknow, in 2006. The causal pathogen was transmitted by sap inoculation on Nicotiana tabacum cv. White Burley, N. rustica, and N. glutinosa, which produced necrotic local lesions and systemic mosaic. The virus reacted positively with antiserum of Cucumber mosaic virus (CMV; PVAS 242a, ATCC, Manassas, VA) in gel double diffusion tests, indicating the presence of CMV. Total RNA was isolated from infected and healthy leaf tissues of R. serpentina, and reverse transcription (RT)-PCR was performed using CMV specific primers AM180922/AM180923. RT-PCR resulted in an expected size (~650 bp) amplicon in infected but not healthy samples. The amplicon was cloned, sequenced, and the data was submitted to GenBank (Accession No. DQ914877). BLAST search analysis of the virus isolate showed highest (99%) sequence identity with CMV isolates (GenBank Accession Nos. DQ640743, AF350450, X89652, and AF281864). The virus isolate showed a close phylogenetic relationship with Indian isolates of CMV belonging to subgroup IB. A literature survey revealed that there is no report of occurrence of any virus on R. serpentina except some fungal infections (2). To our knowledge, this is the first record of natural occurrence of CMV on R. serpentina. References: (1) Anonymous. Wealth of India 8:376, 1969. (2) R. S. Shukla et al. EPPO Bull. 36:11, 2006.
ABSTRACT
Closed-circuit anesthesia (CCA) is more economical and ecologically safer than open circuit anesthesia. However, gas concentrations are more difficult to control. Computer control of CCA has been proposed to facilitate its use. Past efforts have either been limited to the control of anesthetic gas concentrations or apply only to a small group of patients. This paper describes a comprehensive control system applicable to a large class of patients. This system controls the end-tidal oxygen and anesthetic gas concentrations, and the circuit volume. The CCA process was modeled by writing mass balance equations. Simplifying assumptions yielded a bilinear single-input-single-output model for the anesthetic gas concentration and a bilinear multiple-input-multiple-output model for the circuit volume and oxygen concentration. One-step-ahead controllers were used to control these two subsystems. Simulations showed that the control performance was most sensitive to the gas uptakes. Three independent, least-mean-squares estimation schemes were implemented to estimate the uptakes of oxygen, nitrous oxide, and anesthetic gas. These estimates were used in the control law and resulted in explicit adaptive control. The performance of the adaptive controller was compared to that of a fixed controller (with precalculated gas uptakes) in five animal experiments. The adaptive controller performed better than the fixed controller in all cases. The most significant difference was in the anesthetic gas response time 3.6 +/- 0.70 min for adaptive control and 7.04 +/- 5.62 min for fixed control. The adaptive controller was also robust with respect to variations in the system parameters such as the functional residual capacity, leak, deadspace and gas uptakes.(ABSTRACT TRUNCATED AT 250 WORDS)
