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Unmanned aerial system (UAS)-based remote sensing is one promising technique for precision crop management, but few studies have reported the applications of such systems on nitrogen (N) estimation with multiple sensors in rice (Oryza sativa L.). This study aims to evaluate three sensors (RGB, color-infrared (CIR) and multispectral (MS) cameras) onboard UAS for the estimation of N status at individual stages and their combination with the field data collected from a two-year rice experiment. The experiments were conducted in 2015 and 2016, involving different N rates, planting densities and rice cultivars, with three replicates. An Oktokopter UAS was used to acquire aerial photography at early growth stages (from tillering to booting) and field samplings were taken at a near date. Two color indices (normalized excess green index (NExG), and normalized green red difference index (NGRDI)), two near infrared vegetation indices (green normalized difference vegetation index (GNDVI), and enhanced NDVI (ENDVI)) and two red edge vegetation indices (red edge chlorophyll index (CI red edge ), and DATT) were used to evaluate the capability of these three sensors in estimating leaf nitrogen accumulation (LNA) and plant nitrogen accumulation (PNA) in rice. The results demonstrated that the red edge vegetation indices derived from MS images produced the highest estimation accuracy for LNA (R 2 : 0.79-0.81, root mean squared error (RMSE): 1.43-1.45 g m −2 ) and PNA (R 2 : 0.81-0.84, RMSE: 2.27-2.38 g m −2 ). The GNDVI from CIR images yielded a moderate estimation accuracy with an all-stage model. Color indices from RGB images exhibited satisfactory performance for the pooled dataset of the tillering and jointing stages. Compared with the counterpart indices from the RGB and CIR images, the indices from the MS images performed better in most cases. These results may set strong foundations for the development of UAS-based rice growth monitoring systems, providing useful information for the real-time decision making on crop N management.

Recent findings concerning the structure of the covalent binary complex formed by DNA topisomerase I and its DNA substrate, as well as the nature of interactions with inhibitors that bind reversibly to this binary complex, have led to two proposed models for the binding of the prototype inhibitor camptothecin to the DNA-topisomerase I binary complex. While these models differ in many regards, they both suggest the involvement of the 20-OH group of camptothecin in a donor hydrogen bond with an enzyme side chain functional group. Presently, five analogues of camptothecin that differ only at C-20 have been evaluated for their ability to bind to the topoisomerase I-DNA binary complex and thereby inhibit enzyme function. Both 20-chloro- and 20-bromocamptothecin bound as well to the enzyme-DNA binary complex as 20-aminoCPT despite the absence of a substituent at C-20 capable of contributing a donor hydrogen bond.

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