Estimation of radiation interception by winter wheat from measurements of leaf area

Thorne, Gillian N.; Pearman, I.; Day, W.; Todd, A. D.

doi:10.1017/s0021859600079740

Cited by 58 publications

(15 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For modern wheat cultivars, light extinction is approximately 0.55 for photosynthetically active radiation (Thorne et al. , Abbate et al. , Moreau et al.…”

Section: Traits Influencing N Utilization Efficiencymentioning

confidence: 99%

Breeding for increased nitrogen‐use efficiency: a review for wheat (T. aestivum L.)

et al. 2016

View full text Add to dashboard Cite

Nitrogen fertilizer is the most used nutrient source in modern agriculture and represents significant environmental and production costs. In the meantime, the demand for grain increases and production per area has to increase as new cultivated areas are scarce. In this context, breeding for an efficient use of nitrogen became a major objective. In wheat, nitrogen is required to maintain a photosynthetically active canopy ensuring grain yield and to produce grain storage proteins that are generally needed to maintain a high end-use quality. This review presents current knowledge of physiological, metabolic and genetic factors influencing nitrogen uptake and utilization in the context of different nitrogen management systems. This includes the role of root system and its interactions with microorganisms, nitrate assimilation and its relationship with photosynthesis as postanthesis remobilization and nitrogen partitioning. Regarding nitrogen-use efficiency complexity, several physiological avenues for increasing it were discussed and their phenotyping methods were reviewed. Phenotypic and molecular breeding strategies were also reviewed and discussed regarding nitrogen regimes and genetic diversity

show abstract

“…For modern wheat cultivars, light extinction is approximately 0.55 for photosynthetically active radiation (Thorne et al. , Abbate et al. , Moreau et al.…”

Section: Traits Influencing N Utilization Efficiencymentioning

confidence: 99%

Breeding for increased nitrogen‐use efficiency: a review for wheat (T. aestivum L.)

et al. 2016

View full text Add to dashboard Cite

show abstract

“…The value of k c for full vegetation cover is set to be 0.8 for maize, 0.7 for soybean, and 0.63 for wheat following experimental studies by Lindquist et al [], Sinclair and Horie [], and Thorne et al . [], respectively.…”

Section: Model Formulationmentioning

confidence: 99%

A hybrid dual‐source scheme and trapezoid framework–based evapotranspiration model (HTEM) using satellite images: Algorithm and model test

2013

View full text Add to dashboard Cite

[1] Satellite remote sensing techniques are widely considered as the most promising way to estimate evapotranspiration (ET) over large geographic extents. In this study, a hybrid dual-source scheme and trapezoid framework-based evapotranspiration model (HTEM) is developed to map evapotranspiration from satellite imagery. It adopts a theoretically determined vegetation index/land surface temperature trapezoidal space to decompose bulk radiative surface temperature into component temperatures (soil and canopy) and uses a hybrid dual-source scheme of the layer approach and patch approach to partition net radiation and estimate sensible and latent fluxes separately from the soil and canopy. The proposed model was tested at the Soil Moisture-Atmosphere Coupling Experiment (SMACEX) site in central Iowa, USA, for 3 days during the campaign in 2002 using Landsat Thematic Mapper/Enhanced Thematic Mapper Plus (TM/ETM+) data, and at the Weishan flux site in the North China Plain during the main growing season of 2007 with Moderate Resolution Imaging Spectroradiometer Terra images. Results indicate that HTEM is capable of estimating latent heat flux (LE) with mean absolute percentage errors of 6.4% and 11.2% for the SMACEX and the Weishan sites, respectively. In addition, the model was found to be able to give reasonable evaporation and transpiration partitioning at both sites. Compared with other models, HTEM generally produced better sensible and latent flux estimates at the two sites and had comparable abilities in estimating net radiation and ground heat flux. Sensitivity analysis suggests that HTEM is most sensitive to temperature variables and less sensitive to other meteorological observations and parameters.Citation: Yang, Y., and S. Shang (2013), A hybrid dual-source scheme and trapezoid framework-based evapotranspiration model (HTEM) using satellite images: Algorithm and model test,

show abstract

“…ε is set to 2.8 g MJ -1 (Kiniry et al 1989). k is set to 0.45 (Thorne et al 1988). ƒ T is a function which increases linearly with air temperature from 0 at 4°C to 1 at 10°C and above (Hansen et al 1991).…”

Section: Model Descriptionmentioning

confidence: 99%

Sensitivity of field-scale winter wheat production in Denmark to climate variability and climate change

Olesen¹,

Jensen²,

Petersen³

2000

Clim. Res.

View full text Add to dashboard Cite

A simulation model of the direct effects of climate on winter wheat production and grain yield is presented. The model was calibrated using data from field experiments in Denmark. The model was validated using data from near optimally managed experimental plots with winter wheat from The Netherlands and Denmark. The model was further evaluated using data from 1971 to 1997 for 7 sites in Denmark. The model explained from 0 to 20% of the variation in detrended observed yields, depending on soil type. A regression analysis of observed yields against monthly climate data showed a positive effect of temperature in October, November and January on grain yield, a positive effect of radiation in April and a strongly negative effect of precipitation in July. Only the positive effect of radiation in April was predicted by the simulation model, probably because the indirect effects of climate are not taken into account by the model (e.g. effects of rainfall on lodging or Septoria disease). The sensitivity of simulated grain yield to changes in mean temperature, temperature variability, precipitation, length of dry spells and CO 2 concentration was analysed for 4 soil types using generated climate data from 1 site in Denmark. Yield decreased with increasing temperature. This decrease was strongly non-linear with temperature change when using a fixed sowing date, but almost linear for the optimal sowing date. There was only a very small response to changes in temperature variability. Increasing precipitation increased yields with the largest response on the sandy soils. Large changes in grain yield were also seen on sandy soils with changes in the length of dry spells. A comparison of the simulated responses to the direct effects of temperature and rainfall with those to the indirect effects of these variables as estimated from the regression analysis showed that the indirect and the direct effects had opposite effects and that they may almost cancel each other out. The simulated increase in grain yield due to increasing CO 2 concentration in most cases exceeded the simulated responses to changes in climate variables.

show abstract

Estimation of radiation interception by winter wheat from measurements of leaf area

Cited by 58 publications

References 12 publications

Breeding for increased nitrogen‐use efficiency: a review for wheat (T. aestivum L.)

Breeding for increased nitrogen‐use efficiency: a review for wheat (T. aestivum L.)

A hybrid dual‐source scheme and trapezoid framework–based evapotranspiration model (HTEM) using satellite images: Algorithm and model test

Sensitivity of field-scale winter wheat production in Denmark to climate variability and climate change

Contact Info

Product

Resources

About