crop yield simulation
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2021 ◽  
Vol 193 ◽  
pp. 103213
Author(s):  
Runwei Li ◽  
Chenyang Wei ◽  
Mahnaz Dil Afroz ◽  
Jun Lyu ◽  
Gang Chen

2019 ◽  
Vol 119 ◽  
pp. 433-444 ◽  
Author(s):  
Proteek Chandan Roy ◽  
Andrey Guber ◽  
Mohammad Abouali ◽  
A. Pouyan Nejadhashemi ◽  
Kalyanmoy Deb ◽  
...  

2011 ◽  
Vol 62 (3) ◽  
pp. 208 ◽  
Author(s):  
H. L. Li ◽  
Y. Luo ◽  
J. H. Ma

Radiation-use efficiency (RUE, g/MJ) and the harvest index (HI, unitless) are two helpful characteristics in interpreting crop response to environmental and climatic changes. They are also increasingly important for accurate crop yield simulation, but they are affected by various environmental factors. In this study, the RUE and HI of winter wheat and their relationships to canopy spectral reflectance were investigated based on the massive field measurements of five nitrogen (N) treatments. Crop production can be separated into light interception and RUE. The results indicated that during a long period of slow growth from emergence to regreening, the effect of N on crop production mainly showed up in an increased light interception by the canopy. During the period of rapid growth from regreening to maturity, it was present in both light interception and RUE. The temporal variations of RUEAPAR (aboveground biomass produced per unit of photosynthetically active radiation absorbed by the canopy) during the period from regreening to maturity had different patterns corresponding to the N deficiency, N adequacy and N-excess conditions. Moreover, significant relationships were found between the RUEAPAR and the accumulative normalised difference vegetation index (NDVI) in the integrated season (R2 = 0.68), between the HI and the accumulative NDVI after anthesis (R2 = 0.89), and between the RUEgrain (ratio of grain yield to the total amount of photosynthetically active radiation absorbed by the canopy) and the accumulative NDVI of the whole season (R2 = 0.89) and that after anthesis (R2 = 0.94). It suggested that canopy spectral reflectance has the potential to reveal the spatial information of the RUEAPAR, HI and RUEgrain. It is hoped that this information will be useful in improving the accuracy of crop yield simulation in large areas.


1996 ◽  
Vol 30 (2) ◽  
pp. 155-173 ◽  
Author(s):  
E. Xevi ◽  
J. Gilley ◽  
J. Feyen

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