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| 1 | 镉胁迫对不同水稻基因型植株生长和抗氧化酶系统的影响显示文摘以籽粒镉积累水平不同的两种品种 (丙 972 5 2 ,低积累型 ;秀水 6 3,高积累型 )为材料 ,研究了镉胁迫对水稻植株生长和抗氧化酶系统的影响。采用水培试验 ,镉处理设 0 .0、0 .1、1.0和 5 .0 μmol/L 4个水平。结果表明 ,镉胁迫抑制植株生长和叶绿素合成 ,改变植株丙二醛 (MDA)含量和超氧物歧化酶 (SOD)、过氧化氢酶 (CAT)、过氧化物酶 (POD)活性。在抗氧化酶活性上 ,根和地上部对镉胁迫的反应存在着差异。总体上 ,SOD、CAT和POD活性随镉水平的提高而减少 ,而MDA含量则表现相反。根和地上部MDA含量随着培养液中镉浓度提高而增加 ,且增加幅度秀水 6 3明显大于丙 972 5 2。与对照相比 ,生长在 5 .0 μmol/LCd处理下的植株 ,SOD活性在孕穗期下降 4 6 %~ 5 2 % ,在分蘖期仅下降 13%~ 19%。高浓度镉胁迫下 ,两品种在MDA含量的增加幅度和叶绿素含量的降低幅度上表现不同 ,显示出它们对镉的耐性存在着差异。 | 邵国胜 MUHAMMAD Jaffar Hassan 章秀福 张国平 | 2004 | 中国水稻科学2004，18，3： | 107 |
| 2 | Personal Review:Sources of sulfide in waste streams and current biotechnologies for its removal显示文摘Sulfide-containing waste streams are generated by a number of industries. It is emitted into the environment as dis- solved sulfide (S2- and HS-) in wastewaters and as H2S in waste gases. Due to its corrosive nature, biological hydrogen sulfide removal processes are being investigated to overcome the chemical and disposal costs associated with existing chemically based removal processes. The nitrogen and sulfur metabolism interacts at various levels of the wastewater treatment process. Hence, the sulfur cycle offers possibilities to integrate nitrogen removal in the treatment process, which needs to be further optimized by appropriate design of the reactor configuration, optimization of performance parameters, retention of biomass and optimization of biomass growth. The present paper reviews the biotechnological advances to remove sulfides from various environments. | MAHMOOD Qaisar ZHENG Ping CAI Jing HAYAT Yousaf HASSAN Muhammad Jaffar WU Dong-lei HU Bao-lan | 2007 | Journal of Zhejiang University-Science A(Applied Physics & Engineering)2007，8，7： | 22 |
| 3 | Effect of Phosphorus Deficiency on Leaf Photosynthesis and Carbohydrates Partitioning in Two Rice Genotypes with Contrasting Low Phosphorus Susceptibility显示文摘To study the effect of phosphorus (P) deficiency on leaf photosynthesis and carbohydrates partitioning and to determine whether the characteristics of leaf photosynthesis and carbohydrates partitioning are related to low P tolerance in rice plants, a hydroponic culture experiment supplied with either sufficient P (10 mg /L) or deficient P (0.5 mg /L) was conducted by using two rice genotypes different in their responses to low P stress. Results showed that the plant growth of Zhenongda 454 (low P tolerant genotype) was less affected by P deficiency compared with Sanyang’ai (low P sensitive genotype). Under P-deficient conditions, photosynthetic rates of Zhenongda 454 and Sanyang’ai were decreased by 16% and 35%, respectively, and Zhenongda 454 showed higher photosynthetic rate than Sanyang’ai. Phosphorus deficiency decreased the stomatal conductance for both genotypes, but had no significant influence on leaf internal CO2 concentration (Ci), suggesting that the decrease in leaf photosynthetic rate of rice plants induced by P deficiency was not due to stomatal limitation. Phosphorus deficiency increased the concentration of soluble carbohydrates and sucrose in shoots and roots for both genotypes, and also markedly increased the allocation of soluble carbohydrates and sucrose to roots. Under deficient P supply, Zhenongda 454 had higher root/shoot soluble carbohydrates content ratio and root/shoot sucrose content ratio than Sanyang’ai. In addition, phosphorus deficiency increased the concentration of starch in roots for both genotypes, whereas had no effect on the content of starch in shoots or roots. Compared to genotype Sanyang’ai, the better tolerance to low-P stress of Zhenongda 454 can be explained by the fact that Zhenongda 454 maintains a higher photosynthetic rate and a greater ability to allocate carbohydrates to the roots under P deficiency. | LI Yong-fu Luo An-cheng Muhammad Jaffar HASSAN WEI Xing-hua | 2006 | Rice science2006，13，4： | 2 |
| 4 | Prediction of Anoxic Sulfide Biooxidation Under Various HRTs Using Artificial Neural Networks显示文摘Objective During present investigation the data of a laboratory-scale anoxic sulfide oxidizing (ASO) reactor were used in a neural network system to predict its performance. Methods Five uncorrelated components of the influent wastewater were used as the artificial neural network model input to predict the output of the effluent using back-propagation and general regression algorithms. The best prediction performance is achieved when the data are preprocessed using principal components analysis (PCA) before they are fed to a back propagated neural network. Results Within the range of experimental conditions tested, it was concluded that the ANN model gave predictable results for nitrite removal from wastewater through ASO process. The model did not predict the formation of sulfate to an acceptable manner. Conclusion Apart from experimentation, ANN model can help to simulate the results of such experiments in finding the best optimal choice for ASO based denitrification. Together with wastewater collection and the use of improved treatment systems and new technologies, better control of wastewater treatment plant (WTP) can lead to more effective maneuvers by its operators and, as a consequence, better effluent quality. | QAISAR MAHMOOD PING ZHENG DONG-LEI WU XU-SHENG WANG HAYAT YOUSAF EJAZ UL-ISLAM MUHAMMAD JAFFAR HASSAN GHULAM JILANI MUHAMMAD RASHID AZIM | 2007 | Biomedical and Environmental Sciences2007，20，5： | 1 |
| 5 | Influence of Cadmium Toxicity on Growth and Antioxidant Enzyme Activity in Rice Cultivars with Different Grain Cadmium Accumulation显示文摘 | Muhammad Jaffar Hassan Guosheng Shao Guoping Zhang | 2005 | Journal of Plant Nutrition2005，，7： | 1 |
| 6 | Zinc alleviates growth inhibition and oxidative stress caused by cadmium in rice 显示文摘 | Muhammad Jaffar Hassan Guoping Zhang Feibo Wu et aI | 2005 | Journal of Plant Nutrition Soil Science2005，168，： | 1 |
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