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刘蕾蕾

Professor Supervisor of Doctorate Candidates

School/Department: College of Agriculture
Education Level:With Certificate of Graduation for Doctorate Study
Degree:Doctoral Degree in Agriculture
Professional Title:Professor
Alma Mater:南京农业大学

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Paper Publications Home >> Scientific Research >> Paper Publications: 刘蕾蕾,纪洪亭,刘兵,马吉锋,肖浏骏,汤亮,曹卫星,朱艳.拔节期和孕穗期低温处理对小麦叶片光合及叶绿素荧光特性的影响,中国农业科学(中文版),2018,51(23):4434-4448(First Author)

刘蕾蕾,Wallach D,李军,刘兵,张淋翔,汤亮,张羽,邱小雷,曹卫星,朱艳.Uncertainty in wheat phenology simulation induced by cultivar parameterization under climate warming,EUROPEAN JOURNAL OF AGRONOMY,2018,94:46-53(First Author)

孙挺,Hasegawa T,汤亮,王巍,周俊杰,刘蕾蕾,刘兵,曹卫星,朱艳.Stage-dependent temperature sensitivity function predicts seed-setting rates under short-term extreme heat stress in rice,AGRICULTURAL AND FOREST METEOROLOGY,2018,256:196-206(Participating authors)

肖浏骏,刘蕾蕾,Senthold Asseng,夏煜民,汤亮,刘兵,曹卫星,朱艳.Estimating spring frost and its impact on yield across winter wheat in China,Agricultural and Forest Meleorology,2018,260-261(0):154-164(Participating authors)

汤亮,宋伟国,侯天成,刘蕾蕾,曹卫星,朱艳.Collision detection of virtual plant based on bounding volume hierarchy: A case study on virtual wheat,JOURNAL OF INTEGRATIVE AGRICULTURE,2018,17(2):306-314(Participating authors)

汤亮,常瑞佳,BASSO, Bruno,Tao, Li,甄凤贤,刘蕾蕾,曹卫星,朱艳.Improving the estimation and partitioning of plant nitrogen in the RiceGrow model,JOURNAL OF AGRICULTURAL SCIENCE,2018,156(8):959-970(Participating authors)

纪洪亭,肖浏骏,夏煜民,宋航,刘兵,汤亮,曹卫星,朱艳,刘蕾蕾.Effects of jointing and booting low temperature stresses on grain yield and yield components in wheat,AGRICULTURAL AND FOREST METEOROLOGY,2017,243(0):33-42(Correspondence Author)

顾东祥,甄凤贤,Hannaway, David B,朱艳,刘蕾蕾,曹卫星,汤亮.Quantitative Classification of Rice (Oryza sativa L.) Root Length and Diameter Using Image Analysis,PLOS ONE,2017,12(1):-(Participating authors)

刘兵,Asseng, Senthold,王安宁,王圣豪,汤亮,曹卫星,朱艳,刘蕾蕾.Modelling the effects of post-heading heat stress on biomass growth of winter wheat,AGRICULTURAL AND FOREST METEOROLOGY,2017,247:476-490(Participating authors)

The uncertainty of crop yield projections is reduced by improved temperature response functions,NATURE PLANTS,2017,3(8):-(Participating authors)

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