A stomatal ozone flux–response relationship to assess ozone-induced yield loss of winter wheat in subtropical China

2012 ◽  
Vol 164 ◽  
pp. 16-23 ◽  
Author(s):  
Zhaozhong Feng ◽  
Haoye Tang ◽  
Johan Uddling ◽  
Håkan Pleijel ◽  
Kazuhiko Kobayashi ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Yield Loss ◽  
Response Relationship ◽  
Subtropical China ◽  
Ozone Flux ◽  
Flux Response ◽  
Stomatal Ozone Flux

An ozone flux–response relationship for wheat

2000 ◽  
Vol 109 (3) ◽  
pp. 453-462 ◽  
Author(s):  
H Pleijel ◽  
H Danielsson ◽  
G.P Karlsson ◽  
J Gelang ◽  
P.E Karlsson ◽  
...  
Keyword(s):  
Response Relationship ◽  
Ozone Flux ◽  
Flux Response

Establishing ozone flux–response relationships for winter wheat: Analysis of uncertainties based on data for UK and Polish genotypes

2010 ◽  
Vol 44 (5) ◽  
pp. 621-630 ◽  
Author(s):  
Ignacio Gonzalez–Fernandez ◽  
Agnieszka Kaminska ◽  
Mahmadali Dodmani ◽  
Eleni Goumenaki ◽  
Steve Quarrie ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Ozone Flux ◽  
Flux Response

Estimating Yield Losses Due to Barley Yellow Dwarf on Winter Wheat in Kansas Using Disease Phenotypic Data

2015 ◽  
Vol 16 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Genna M. Gaunce ◽  
William W. Bockus
Keyword(s):  
Winter Wheat ◽  
Yield Loss ◽  
Disease Incidence ◽  
Relative Yield ◽  
Yellow Dwarf ◽  
Wheat Cultivars ◽  
Grain Yields ◽  
Barley Yellow Dwarf ◽  
Winter Wheat Cultivars ◽  
The Impact

Barley yellow dwarf (BYD) is one of the most important wheat diseases in the state of Kansas. Despite the development of cultivars with improved resistance to BYD, little is known about the impact that this resistance has on yield loss from the disease. The intent of this research was to estimate yield loss in winter wheat cultivars in Kansas due to BYD and quantify the reduction in losses associated with resistant cultivars. During seven years, BYD incidence was visually assessed on numerous winter wheat cultivars in replicated field nurseries. When grain yields were regressed against BYD incidence scores, negative linear relationships significantly fit the data for each year and for the combined dataset covering all seven years. The models showed that, depending upon the year, 19–48% (average 33%) of the relative yields was explained by BYD incidence. For the combined dataset, 29% of the relative yield was explained by BYD incidence. The models indicated that cultivars showing the highest disease incidence that year had 25–86% (average 49%) lower yield than a hypothetical cultivar that showed zero incidence. Using the models, the moderate level of resistance in the cultivar Everest was calculated to reduce yield loss from BYD by about 73%. Therefore, utilizing visual BYD symptom evaluations in Kansas coupled with grain yields is useful to estimate yield loss from the disease. Accepted for publication 1 December 2014. Published 9 January 2015.

scholarly journals Environmental Conditions Associated with Stripe Rust in Kansas Winter Wheat

Plant Disease ◽  
2016 ◽  
Vol 100 (11) ◽  
pp. 2306-2312 ◽  
Author(s):  
B. S. Grabow ◽  
D. A. Shah ◽  
E. D. DeWolf
Keyword(s):  
Soil Moisture ◽  
Winter Wheat ◽  
Stripe Rust ◽  
Yield Loss ◽  
Initial Step ◽  
Disease Forecasting ◽  
Estimation Equations ◽  
Forecasting System ◽  
Moisture Conditions ◽  
General Estimation

Stripe rust has reemerged as a problematic disease in Kansas wheat. However, there are no stripe rust forecasting models specific to Kansas wheat production. Our objective was to identify environmental variables associated with stripe rust epidemics in Kansas winter wheat as an initial step in the longer-term goal of developing predictive models for stripe rust to be used within the state. Mean yield loss due to stripe rust on susceptible varieties was estimated from 1999 to 2012 for each of the nine Kansas crop reporting districts (CRD). A CRD was classified as having experienced a stripe rust epidemic when yield loss due to the disease equaled or exceeded 1%, and a nonepidemic otherwise. Epidemics were further classified as having been moderate or severe if yield loss was 1 to 14% or greater than 14%, respectively. The binary epidemic categorizations were linked to a matrix of 847 variables representing monthly meteorological and soil moisture conditions. Classification trees were used to select variables associated with stripe rust epidemic occurrence and severity (conditional on an epidemic having occurred). Selected variables were evaluated as predictors of stripe rust epidemics within a general estimation equations framework. The occurrence of epidemics within CRD was linked to soil moisture during the fall and winter months. In the spring, severe epidemics were linked to optimal (7 to 12°C) temperatures. Simple environmentally based stripe rust models at the CRD level may be combined with field-level disease observations and an understanding of varietal reaction to stripe rust as part of an operational disease forecasting system in Kansas.

Downy Brome (Bromus tectorum) Interference and Economic Thresholds in Winter Wheat (Triticum aestivum)

Weed Science ◽  
1990 ◽  
Vol 38 (3) ◽  
pp. 224-228 ◽  
Author(s):  
Phillip W. Stahlman ◽  
Stephen D. Miller
Keyword(s):  
Winter Wheat ◽  
Bromus Tectorum ◽  
Yield Loss ◽  
Wheat Yield ◽  
Dry Weight ◽  
Quadratic Equation ◽  
Downy Brome ◽  
Economic Threshold ◽  
Weed Density ◽  
Economic Thresholds

Densities up to 100 downy brome m2were established in winter wheat in southeastern Wyoming and west-central Kansas to quantify wheat yield loss from downy brome interference and to approximate economic threshold levels. A quadratic equation best described wheat yield loss as a function of weed density when downy brome emerged within 14 days after wheat emergence. Densities of 24, 40, and 65 downy brome m2reduced wheat yield by 10, 15, and 20%, respectively. Wheat yield was not reduced when downy brome emerged 21 or more days later than wheat. Economic thresholds varied with changes in downy brome density, cost of control, wheat price, and potential wheat yield. In a greenhouse experiment, dry weight of 72-day-old wheat plants grown in association with downy brome was not affected by the distance between the weeds and wheat, whereas downy brome plant dry weight increased with increasing distance between the weeds and wheat.

Soil Respiration and N2O Flux Response to UV-B Radiation and Straw Incorporation in a Soybean–Winter Wheat Rotation System

2012 ◽  
Vol 224 (1) ◽  
Author(s):  
Zhenghua Hu ◽  
Hailing Cui ◽  
Shutao Chen ◽  
Shuanghe Shen ◽  
Hanmao Li ◽  
...  
Keyword(s):  
Soil Respiration ◽  
Winter Wheat ◽  
N2o Flux ◽  
Rotation System ◽  
Straw Incorporation ◽  
Flux Response

scholarly journals Reactive uptake of ozone at simulated leaf surfaces: Implications for ‘non-stomatal’ ozone flux

2009 ◽  
Vol 43 (5) ◽  
pp. 1116-1123 ◽  
Author(s):  
J. Neil Cape ◽  
Richard Hamilton ◽  
Mathew R. Heal
Keyword(s):  
Ozone Flux ◽  
Leaf Surfaces ◽  
Stomatal Ozone Flux
Sign in / Sign up

Export Citation Format

Share Document