Spring Freeze Effect on Wheat Yield is Modulated by Winter Temperature Fluctuations: Evidence from Meta-Analysis and Simulating Experiment

2014 ◽  
Vol 201 (4) ◽  
pp. 288-300 ◽  
Author(s):  
X. Li ◽  
J. Cai ◽  
F. Liu ◽  
T. Dai ◽  
W. Cao ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Wheat Yield ◽  
Temperature Fluctuations ◽  
Winter Temperature ◽  
Simulating Experiment

scholarly journals A meta-analysis of responses of wheat yield formation to elevated ozone concentration

2009 ◽  
Vol 54 (2) ◽  
pp. 249-255 ◽  
Author(s):  
ZhaoZhong Feng ◽  
Kazuhiko Kobayashi ◽  
XiaoKe Wang ◽  
ZongWei Feng
Keyword(s):  
Ozone Concentration ◽  
Meta Analysis ◽  
Wheat Yield ◽  
Elevated Ozone ◽  
Yield Formation

An update on the hydroxyl airglow temperature record from the Auroral Station in Adventdalen, Svalbard (1980–2005)

2007 ◽  
Vol 85 (2) ◽  
pp. 143-151 ◽  
Author(s):  
M E Dyrland ◽  
F Sigernes
Keyword(s):  
Solar Rotation ◽  
Temperature Fluctuations ◽  
Winter Temperature ◽  
Temperature Record ◽  
Positive Temperature ◽  
Spectral Measurements ◽  
Daily Average ◽  
Winter Temperatures ◽  
Hydroxyl Airglow ◽  
Average Winter Temperature

This paper reports on the daily mesospheric winter temperature series derived from ground-based spectral measurements of the hydroxyl airglow layer from the Auroral Station in Adventdalen near Longyearbyen, Svalbard (78°N, 15°E). Temperature estimates from the four latest seasons (2001–2002 to 2004–2005) have been added to the series reported by Sigernes et al. J. Geophys. Res. 108(A9), 1342 (2003). Lomb–Scargle periodogram analyses were performed on both hourly and daily average temperatures to look for significant periods. From the daily means, ∼24 and ∼26 d oscillations that are consistent with a solar rotation modulation of the atmosphere were identified. Analyses of the hourly averaged data did not reveal any considerable diurnal and semidiurnal periods in the temperatures. The 2003–2004 mesopause winter was one of the warmest reported over Svalbard during the last 25 years. It is common to observe within a few days temperature fluctuations in the range 20–40 K. Some years show far less variation than others. The overall daily average winter temperature is 209 K. The annual mean winter temperatures show a slightly positive temperature trend (+0.2 ± 0.1 K/year), on the verge of being a statistically significant change in the winter mesospheric temperatures over Svalbard.PACS Nos.: 92.60.hc, 07.20.Dt, 93.30.Sq, 92.60.hw

Wheat yield prediction from winter temperature and precipitation

2009 ◽  
Vol 35 (3) ◽  
pp. 147-149 ◽  
Author(s):  
Yu. K. Galaktionov ◽  
L. F. Ashmarina ◽  
T. A. Galaktionova
Keyword(s):  
Wheat Yield ◽  
Winter Temperature ◽  
Yield Prediction ◽  
Temperature And Precipitation

Winter wheat yield and water use efficiency response to organic fertilization in northern China: A meta-analysis

2020 ◽  
Vol 229 ◽  
pp. 105934 ◽  
Author(s):  
Linlin Wang ◽  
Qiang Li ◽  
Jeffrey A. Coulter ◽  
Junhong Xie ◽  
Zhuzhu Luo ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Water Use Efficiency ◽  
Water Use ◽  
Meta Analysis ◽  
Wheat Yield ◽  
Northern China ◽  
Organic Fertilization ◽  
Winter Wheat Yield ◽  
Use Efficiency

A global meta-analysis of split nitrogen application for improved wheat yield and grain protein content

2021 ◽  
Vol 213 ◽  
pp. 105111
Author(s):  
Changlu Hu ◽  
Victor O. Sadras ◽  
Guoyan Lu ◽  
Panxin Zhang ◽  
Yan Han ◽  
...  
Keyword(s):  
Protein Content ◽  
Meta Analysis ◽  
Wheat Yield ◽  
Grain Protein Content ◽  
Grain Protein ◽  
Nitrogen Application

scholarly journals Effects of Elevated CO2 on Wheat Yield: Non-Linear Response and Relation to Site Productivity

Agronomy ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 243 ◽  
Author(s):  
Malin C. Broberg ◽  
Petra Högy ◽  
Zhaozhong Feng ◽  
Håkan Pleijel
Keyword(s):  
Grain Yield ◽  
Linear Response ◽  
Crop Yields ◽  
Meta Analysis ◽  
Wheat Yield ◽  
Co2 Concentration ◽  
Yield Response ◽  
Site Productivity ◽  
Significant Difference ◽  
Non Linear

Elevated carbon dioxide (eCO2) is well known to stimulate plant photosynthesis and growth. Elevated carbon dioxide’s effects on crop yields are of particular interest due to concerns for future food security. We compiled experimental data where field-grown wheat (Triticum aestivum Linnaeus) was exposed to different CO2 concentrations. Yield and yield components were analyzed by meta-analysis to estimate average effects, and response functions derived to assess effect size in relation to CO2 concentration. Grain yield increased by 26% under eCO2 (average ambient concentration of 372 ppm and elevated 605 ppm), mainly due to the increase in grain number. The response function for grain yield with CO2 concentration strongly suggests a non-linear response, where yield stimulation levels off at ~600 ppm. This was supported by the meta-analysis, which did not indicate any significant difference in yield stimulation in wheat grown at 456–600 ppm compared to 601–750 ppm. Yield response to eCO2 was independent of fumigation technique and rooting environment, but clearly related to site productivity, where relative CO2 yield stimulation was stronger in low productive systems. The non-linear yield response, saturating at a relatively modest elevation of CO2, was of large importance for crop modelling and assessments of future food production under rising CO2.

scholarly journals High Daytime and Nighttime Temperatures Exert Large and Opposing Impacts on Winter Wheat Yield in China

2019 ◽  
Vol 11 (4) ◽  
pp. 777-790
Author(s):  
Xiaoguang Chen ◽  
Guoping Tian ◽  
Zhilong Qin ◽  
Xiang Bi
Keyword(s):  
Winter Wheat ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Wheat Yield ◽  
Temperature Fluctuations ◽  
Northern China ◽  
Winter Wheat Yield ◽  
Nighttime Temperatures ◽  
Weather Variations

Abstract We analyze a provincial-scale dataset of winter wheat yield, together with finescale daily weather outcomes from 1979 to 2011, to assess the responses of winter wheat yield in China to temperature fluctuations. Contrary to the majority of the previous literature, we find that winter wheat yield in China responded positively to higher nighttime temperature Tmin, with the positive Tmin effects most significant in the northern China winter wheat region. Consistent with the previous studies, winter wheat yield in China exhibited negative responses to higher daytime temperature Tmax. As a result of these opposing temperature effects on yield, the net economic impact of weather variations on China’s winter wheat sector is uncertain and is sensitive to specifications and data. Average winter wheat yield is projected to decline by 5.3%–7.0% by 2050 under the global climate model HadGEM2-ES and by 2.0%–3.4% under the NorESM1-M model.

Performance of a wheat yield prediction model and factors influencing the performance: A review and meta-analysis

2021 ◽  
Vol 194 ◽  
pp. 103278
Author(s):  
Shirui Hao ◽  
Dongryeol Ryu ◽  
Andrew Western ◽  
Eileen Perry ◽  
Heye Bogena ◽  
...  
Keyword(s):  
Prediction Model ◽  
Meta Analysis ◽  
Wheat Yield ◽  
Yield Prediction ◽  
Factors Influencing
Sign in / Sign up

Export Citation Format

Share Document