Abstract
Periods in the soybean summer cycle that are sensitive to the occurrence of high temperatures were studied. An analysis was performed on the variability of soybean yields associated with crop canopy temperatures during key development periods. A land surface temperature (LST) data series from MODIS (Moderate Resolution Imaging Spectroradiometer) on the Aqua satellite was processed between 2003 and 2012 that covered the entire state of Rio Grande do Sul, in Brazil. Enhanced vegetation index (EVI) data from MODIS on the Terra satellite were used to monitor the LST during different phenological stages. Spatially interpolated maps of soybean yield distributions were generated using data obtained from Instituto Brasileiro de Geografia e Estatística (IBGE) at state and municipality levels. The results indicate that canopy-LST occurrence in mid-February, during the grain filling, is most correlated to yield reduction (R2 = 0.82 and RMSD = 14.4%). At the state level, the average yield is 2003 kg·ha-1 with a standard deviation of 308 kg·ha-1. The overall average of the canopy-LST is 305.0 K (31.8°C) with a standard deviation of 1.9 K. The slope of the downward linear relationship between canopy-LST and yield was -28.7%. These results indicate that monitoring heat wave events can provide important information for characterising agriculture vulnerability.
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Claims 4
Claim · model-written summary
Mid-February canopy temperature during grain filling was most correlated with yield reduction (R2 = 0.82; RMSD = 14.4%).
- Organ / stage
- grain fillinge0
- Outcome
- yield reductione0
- Direction
- reductione0
- Value
- R2 = 0.82 and RMSD = 14.4%e0
Not reportedTaxon
Verbatim
e0“canopy-LST occurrence in mid-February, during the grain filling, is most correlated to yield reduction (R2 = 0.82 and RMSD = 14.4%)”
Claim · model-written summary
State-level average soybean yield was 2003 kg·ha-1, with standard deviation 308 kg·ha-1.
Not reportedTaxon
Verbatim
e0“At the state level, the average yield is 2003 kg·ha-1 with a standard deviation of 308 kg·ha-1”
Claim · model-written summary
Overall mean canopy temperature was 305.0 K (31.8°C), with standard deviation 1.9 K.
Not reportedTaxon
Verbatim
e0“The overall average of the canopy-LST is 305.0 K (31.8°C) with a standard deviation of 1.9 K”
Claim · model-written summary
Canopy temperature and soybean yield had a downward linear relationship with slope -28.7%.
Not reportedTaxon
Verbatim
e0“The slope of the downward linear relationship between canopy-LST and yield was -28.7%”