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| 1 | Near-infrared reflectance spectroscopy reveals wide variation in major components of sesame seeds from Africa and Asia显示文摘Sesame is an important oilseed crop in Africa and Asia, owing to its high nutritional quality seed and market value. Variation in sesame seed components including oil, oleic acid,linoleic acid, and protein was investigated by near-infrared reflectance spectrometry in 139 samples collected from different countries. Oil and protein contents were between 40.8%and 60.3%(mean 53.0%) and 15.5% to 25.5%(mean 20.4%), respectively. Linoleic acid,ranging from 31.8% to 52.4%(mean 46%) was more abundant than oleic acid(31.8%–50.6%,mean 38.1%). Light-seeded samples displayed higher nutritional quality, as they were richer in oil, protein, and linoleic acid than dark seeds. Samples from Africa had higher oil and linoleic acid contents, while Asian samples had higher oleic content. The analysis revealed West African sesame cultivars containing especially high levels of seed components, which may command high market values. Two clusters of sesame samples grouped by seed composition were obtained, including one cluster with high oil and oleic acid content and the other with high protein and linoleic acid content. This study revealed that sesame samples from Africa and Asia harbor high variation for major seed components and also provided background information for breeding high-nutrition varieties according to the demands of sesame seed markets. | Komivi Dossa Xin Wei Marème Niang Pan Liu Yanxin Zhang Linhai Wang Boshou Liao Ndiaga Cissé Xiurong Zhang Diaga Diouf | 2018 | The Crop Journal2018，6，2： | 7 |
| 2 | The effect of PET calculations in DRAINMOD on drainage and crop yields predictions in a subhumid vertisol soil district显示文摘The field hydrology model-DRAINMOD has several options for evapotranspiration (ET) calculation. The choice of each calculation method may affect modeling results because ET is one of the most important hydrologic components in field hydrology. ET calculation method may also have significant impact on crop yield predictions. As variable ET estimation methods are available nowadays, this paper presents a study of different ET inputs on simulated crop yields and drainage volume based on weather and soil data from a subhumid climate zone in China. The study results show that the effect of ET estimate on drainage and crop yield prediction is affected by crop species and growing period; more accurate ET estimate is also critical in simulating the effect of controlled drainage on field hydrology and crop production. The results of this study indicate that the effort contributed to better ET estimate is very important in model applications. | LUO Wan JING WeiHua JIA ZhongHua LI Jin PAN YanXin | 2009 | Science China(Technological Sciences)2009，52，11： | 6 |
| 3 | Catalytic oxidation of phenol in wastewater-A new application of the amorphous Fe_(78)Si_9B_(13) alloy显示文摘The amorphous Fe78Si9B13 alloy was used as a heterogeneous Fenton catalyst in the process of phenol degradation.The influences of main operating parameters such as reaction temperature,catalyst amount,hydrogen peroxide dosage and initial pH of solution on phenol degradation rate were investigated.The maximum mineralization of phenol was achieved at 60°C,6 g/L Fe78Si9B13, 0.31 mol/L hydrogen peroxide,with an initial pH of 2.5.More than 99%of phenol was completely removed under the optimum conditions within 10 min for a solution containing 1000 mg/L of phenol.Batch experiments for solutions containing phenol con- centrations ranging from 50 to 2000 mg/L were investigated under the above conditions and the same excellent degradation rate was obtained.The Fe78Si9B13 showed better catalytic activity than iron powder and Fe 2+ .Addition of n-butannol(hydroxyl radical scavenger)decreased the degradation rate of phenol,which demonstrates that hydroxyl radicals were mainly responsible for the removal of phenol.We demonstrated that phenol may be degraded by hydroxyl radicals decomposed by hydrogen peroxide on the surface of Fe78Si9B13 and illustrated the reaction mechanism for this process.This amorphous alloy exhibited high stability in recycling experiments and showed excellent reuse performance even after continuous operations of 8 cycles. | WANG Pan BIAN XiuFang LI YanXin | 2012 | Chinese Science Bulletin2012，57，1： | 4 |
| 4 | Effect of organicloading rate on aerobic granulation I:Reactorperformance显示文摘 | Tay J H Pan Shun He Yanxin | 2004 | Journal of Environmental Engineering2004，130，10： | 1 |
| 5 | Kinetics of glass transition and crystallization in multicomponent bulk amorphous alloys显示文摘 | Yanxin Zhuang Deqian Zhao Yong Zhang Weihua Wang Mingxiang Pan | 2000 | Science in China Series A: Mathematics2000，，11： | 1 |
| 6 | Simulation and optimization of irrigation schedule for summer maize based on SWAP model in saline region显示文摘In order to explore the appropriate irrigation schedule for summer maize,a field experiment was conducted in 2013 in Lubotan of Shaanxi Province.Soil water content,soil salinity,soil hydraulic parameters,crop growth parameters and summer maize yield were measured in the experiment.The SWAP model was calibrated based on field experiment observation data in 2013.The SWAP model was used to simulate and optimize irrigation schedule for summer maize after calibration.The results showed that model simulation results of soil water content,soil salinity and summer maize yield agreed well with the measured values.The Root Mean Square Error(RMSE)and Mean Relative Error(MRE)were within the allowable error ranges.The RMSE values were all lower than 0.05 cm3/cm3 and the MRE values were lower than 15%in soil water content calibration.The RMSE values were all lower than 0.1 mg/cm3 and the MRE values were lower than 20%in soil salinity calibration.The RMSE and MRE values were 1299.6 kg/hm2 and 15.26%in summer maize yield calibration.The model parameters suitable for the study area were obtained in calibration.The SWAP model could be used to simulate and optimize irrigation schedule for summer maize after calibration.The SWAP model was used to simulate soil water-salt balance,summer maize yield and water use efficiency under different irrigation schedules.The model simulation results for different irrigation schedules indicated that the optimal irrigation schedules of summer maize were three times each for jointing stage(July 5),heading stage(August 5)and grain filling stage(August 30)with irrigation amount of 128 mm,128 mm and 96 mm,respectively.The optimal irrigation quota was 352.0 mm for summer maize in the study area. | Yanxin Pan Chengfu Yuan Siyuan Jing | 2020 | International Journal of Agricultural and Biological Engineering2020，13，3： | 1 |
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