scispace - formally typeset
B

Bing Liu

Researcher at Nanjing Agricultural University

Publications -  35
Citations -  3335

Bing Liu is an academic researcher from Nanjing Agricultural University. The author has contributed to research in topics: Grain quality & Global warming. The author has an hindex of 16, co-authored 35 publications receiving 1825 citations. Previous affiliations of Bing Liu include University of Florida.

Papers
More filters
Journal ArticleDOI

Similar estimates of temperature impacts on global wheat yield by three independent methods

Bing Liu, +72 more
TL;DR: This paper showed that grid-based and point-based simulations and statistical regressions, without deliberate adaptation or CO 2 fertilization effects, produce similar estimates of temperature impact on wheat yields at global and national scales.
Journal ArticleDOI

Climate change impact and adaptation for wheat protein

Senthold Asseng, +75 more
TL;DR: A 32-multi-model ensemble is tested and applied to simulate global wheat yield and quality in a changing climate to potential benefits of elevated atmospheric CO2 concentration by 2050, likely to be negated by impacts from rising temperature and changes in rainfall, but with considerable disparities between regions.
Journal ArticleDOI

Post‐heading heat stress and yield impact in winter wheat of China

TL;DR: Interestingly, heat stress between heading and maturity was more severe in the generally cooler northern wheat-growing regions than the generally warmer southern regions of China, because of the delayed time of heading with low temperatures during the earlier growing season and the exposure of the post-heading phase into the warmer part of the year.
Journal ArticleDOI

Crop Model Improvement Reduces the Uncertainty of the Response to Temperature of Multi-Model Ensembles

TL;DR: In this paper, 15 wheat growth models of a larger MME were improved through re-parameterization and/or incorporating or modifying heat stress effects on phenology, leaf growth and senescence, biomass growth, and grain number and size using detailed field experimental data from the USDA Hot Serial Cereal experiment (calibration data set).