M
Muhammad Waqqas Khan Tarin
Researcher at Fujian Agriculture and Forestry University
Publications - 27
Citations - 219
Muhammad Waqqas Khan Tarin is an academic researcher from Fujian Agriculture and Forestry University. The author has contributed to research in topics: Bamboo & Biochar. The author has an hindex of 5, co-authored 21 publications receiving 71 citations.
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Patterns of soil microorganisms and enzymatic activities of various forest types in coastal sandy land
Lili Fan,Muhammad Waqqas Khan Tarin,Yangyang Zhang,Yongzhen Han,Jundong Rong,Xinhang Cai,Liguang Chen,Chengkun Shi,Yushan Zheng +8 more
TL;DR: In this article, the seasonal dynamics of six soil enzyme activities and microorganisms in different vegetation types, as well as their responses to shifts in soil physicochemical properties in the southeast coasts of China were investigated.
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Biochar: an efficient way to manage low water availability in plants.
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Divergent consequences of different biochar amendments on carbon dioxide (CO2) and nitrous oxide (N2O) emissions from the red soil.
Muhammad Waqqas Khan Tarin,Muhammad Athar Khaliq,Lili Fan,Dejin Xie,Muhammad Tayyab,Lingyan Chen,Tianyou He,Jundong Rong,Yushan Zheng +8 more
TL;DR: It is demonstrated that BC incorporation to soil may help to mitigate GHGs emissions but its influence may vary with BC type and level under different conditions and soil type.
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Soil liming effects on CH4, N2O emission and Cd, Pb accumulation in upland and paddy rice.
TL;DR: It is suggested that upland rice can be cultivated in CdPb polluted soils with least soil CH4 emission and Cd, Pb accumulation in rice grain, but dolomite was more effective as compared to lime.
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Which ornamental features of bamboo plants will attract the people most
Junming Zheng,Muhammad Waqqas Khan Tarin,Denghui Jiang,Min Li,Jing Ye,Lingyan Chen,Tianyou He,Yushan Zheng +7 more
TL;DR: Assessment of the people's preference for ornamental features of bamboo plants showed that subjective ratings of stem color, leaf stripe, and stem stripe showed a significant positive correlation with the fixation count, and the random forest model showed fixation count was the important factor influencing the subjective ratings.