A
Alex Wu
Researcher at University of Queensland
Publications - 31
Citations - 1769
Alex Wu is an academic researcher from University of Queensland. The author has contributed to research in topics: Starch & Amylopectin. The author has an hindex of 20, co-authored 26 publications receiving 1157 citations. Previous affiliations of Alex Wu include Huazhong University of Science and Technology.
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Quantifying impacts of enhancing photosynthesis on crop yield
TL;DR: A cross-scale modelling capability is developed that connects leaf photosynthesis to crop yield in a manner that addresses the confounding factors of photosynthetic manipulation and can predict yield following enhancement of photosynthesis.
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Exploring extraction/dissolution procedures for analysis of starch chain-length distributions
TL;DR: Results indicate starch dissolution with DMSO-LiBr is the method of choice for minimizing artifacts and an improved pretreatment protocol is presented for starch CLD analysis by FACE and SEC.
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Water Use Efficiency as a Constraint and Target for Improving the Resilience and Productivity of C3 and C4 Crops.
Andrew D. B. Leakey,John N. Ferguson,Charles P. Pignon,Alex Wu,Zhenong Jin,Graeme Hammer,David B. Lobell +6 more
TL;DR: This review aims to synthesize new knowledge of WUE arising from advances in phenotyping, modeling, physiology, genetics, and molecular biology in the context of classical theoretical principles.
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A parameterized model of amylopectin synthesis provides key insights into the synthesis of granular starch
TL;DR: The modeling approach provides both a new tool to accelerate efforts to understand granular starch biosynthesis and a basis for focusing efforts to manipulate starch structure and functionality using a series of testable predictions based on a robust mechanistic framework.
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Towards a multiscale crop modelling framework for climate change adaptation assessment
Bin Peng,Kaiyu Guan,Jinyun Tang,Elizabeth A. Ainsworth,Senthold Asseng,Carl J. Bernacchi,Mark E. Cooper,Evan H. DeLucia,Joshua Elliott,Frank Ewert,Robert F. Grant,David I. Gustafson,Graeme Hammer,Zhenong Jin,James W. Jones,Hyungsuk Kimm,David M. Lawrence,Yan Li,Danica Lombardozzi,Amy Marshall-Colon,Carlos D. Messina,Donald R. Ort,James C. Schnable,C. Eduardo Vallejos,Alex Wu,Xinyou Yin,Wang Zhou +26 more
TL;DR: An advanced multiscale crop modelling framework will enable a gene-to-farm design of resilient and sustainable crop production systems under a changing climate at regional- to-global scales.