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Qingwu Xue
Researcher at Texas A&M University
Publications - 133
Citations - 2785
Qingwu Xue is an academic researcher from Texas A&M University. The author has contributed to research in topics: Water-use efficiency & Irrigation. The author has an hindex of 25, co-authored 113 publications receiving 2142 citations. Previous affiliations of Qingwu Xue include Chinese Academy of Sciences & Texas AgriLife Research.
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Physiological mechanisms contributing to the increased water-use efficiency in winter wheat under deficit irrigation.
TL;DR: The results of this study showed that deficit irrigation between jointing and anthesis significantly increased wheat yield and WUE through increasing both current photosynthesis and the remobilization of pre-anthesis carbon reserves.
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Root growth and water uptake in winter wheat under deficit irrigation
TL;DR: Due to a relatively deep root system inRainfed crops, the higher grain yield and WUE in irrigated crops compared to rainfed crops was not a result of rooting depth or root length density, but increased harvest index, and higher water uptake rate during grain filling.
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Improving predictions of developmental stages in winter wheat: a modified Wang and Engel model ☆
TL;DR: In this article, the Wang and Engel (WE) model was modified by introducing a nonlinear f(V), and dividing the vegetative phase into two sub-phases (emergence-terminal spikelet initiation and terminal Spikelet initiation initiation-anthesis), which corresponds to a 45% decrease in the RMSE compared with the original WE model.
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Predicting leaf appearance in field-grown winter wheat: evaluating linear and non-linear models
TL;DR: In this article, a 2-year field experiment was conducted in winter wheat (Triticum aestivum L.) to evaluate a nonlinear model and two versions of the phyllochron approach to predict LAR, and to compare the differences in predictions of leaf appearance using daily, hourly, and maximum and minimum air temperatures.
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Application of DSSAT-CERES-Wheat model to simulate winter wheat response to irrigation management in the Texas High Plains
TL;DR: In this paper, a modeling study was conducted using the DSSAT-CERES-Wheat model for accurate prediction of winter wheat grain and biomass yields and water use efficiency (WUE) responses to irrigation management in the Texas High Plains.