Abstract
The objective of this work was to assess the spatial and temporal variability of sugarcane yield efficiency and yield gap in the state of São Paulo, Brazil, throughout 16 growing seasons, considering climate and soil as main effects, and socioeconomic factors as complementary. An empirical model was used to assess potential and attainable yields, using climate data series from 37 weather stations. Soil effects were analyzed using the concept of production environments associated with a soil aptitude map for sugarcane. Crop yield efficiency increased from 0.42 to 0.58 in the analyzed period (1990/1991 to 2005/2006 crop seasons), and yield gap consequently decreased from 58 to 42%. Climatic factors explained 43% of the variability of sugarcane yield efficiency, in the following order of importance: solar radiation, water deficit, maximum air temperature, precipitation, and minimum air temperature. Soil explained 15% of the variability, considering the average of all seasons. There was a change in the correlation pattern of climate and soil with yield efficiency after the 2001/2002 season, probably due to the crop expansion to the west of the state during the subsequent period. Socioeconomic, biotic and crop management factors together explain 42% of sugarcane yield efficiency in the state of São Paulo.
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Claims 6
Claim · model-written summary
Sugarcane yield efficiency rose from 0.42 to 0.58 over the analyzed seasons.
Verbatim
e0“Crop yield efficiency increased from 0.42 to 0.58 in the analyzed period (1990/1991 to 2005/2006 crop seasons)”
t0“sugarcane”
Claim · model-written summary
The sugarcane yield gap fell from 58 to 42%.
Verbatim
e0“yield gap consequently decreased from 58 to 42%”
t0“sugarcane”
Claim · model-written summary
Climatic factors explained 43% of variation in sugarcane yield efficiency, with solar radiation ranked first.
- Taxon
- sugarcanee0
- Outcome
- variability of sugarcane yield efficiencye0
- Value
- 43%e0
- Qualifier
- solar radiation, water deficit, maximum air temperature, precipitation, and minimum air temperaturee0
Not reportedSettingDirection
Verbatim
e0“Climatic factors explained 43% of the variability of sugarcane yield efficiency, in the following order of importance: solar radiation, water deficit, maximum air temperature, precipitation, and minimum air temperature”
Claim · model-written summary
Soil explained 15% of variation in sugarcane yield efficiency across seasons.
Not reportedSettingDirection
Verbatim
e0“Soil explained 15% of the variability, considering the average of all seasons”
t0“sugarcane”
Claim · model-written summary
The correlation pattern of climate and soil with sugarcane yield efficiency changed after 2001/2002.
- Taxon
- sugarcanet0
- Outcome
- correlation pattern of climate and soil with yield efficiencye0
- Qualifier
- after the 2001/2002 seasone0
- Setting
- São Paulo, Brazilt1
Not reportedDirection
Verbatim
e0“There was a change in the correlation pattern of climate and soil with yield efficiency after the 2001/2002 season”
t0“sugarcane”
t1“São Paulo, Brazil”
Claim · model-written summary
Socioeconomic, biotic and crop management factors together explained 42% of sugarcane yield efficiency.
- Taxon
- sugarcanee0
- Outcome
- sugarcane yield efficiencye0
- Value
- 42%e0
- Qualifier
- Socioeconomic, biotic and crop management factorse0
- Setting
- state of São Pauloe0
Not reportedDirection
Verbatim
e0“Socioeconomic, biotic and crop management factors together explain 42% of sugarcane yield efficiency in the state of São Paulo”