Corpus ID: 59498324

Georeferenced soybean yield and nutritional status evaluation under no till system in Southern Brazil.

@inproceedings{Bernardi2003GeoreferencedSY,
  title={Georeferenced soybean yield and nutritional status evaluation under no till system in Southern Brazil.},
  author={A. C. C. Bernardi and P. Machado and C. A. D. Carmo and C. A. Silva and L. I. O. Valencia and C. Bettini and M. Meirelles and J. Molin and P. Robert},
  year={2003}
}
The use of soil test variability in precision agriculture studies is well known. However, little is known about the spatial variability of the plant nutrient concentration, specially in a no-tillage system. The nutrient concentrations in plants reflect its real availability in the soil. In a no-till farm in southern Brazil, two growing seasons of soybean were sampled to evaluate the spatial variability of plant nutrient concentrations; and to identify the constraints to soybean yield… Expand
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References

SHOWING 1-10 OF 18 REFERENCES
Spatial variability of plant analysis potassium levels
  • 9
A futuristic view of soil and plant analysis and nutrient recommendations
  • 19
Spatial variability of plant analysis calcium and magnesium levels before and after liming
  • 15
Spatial variability of plant analysis phosphorus levels
  • 10
Estimating Average and Proportional Variograms of Soil Properties and Their Potential Use in Precision Agriculture
  • 242
Nutrition of mycorrhizal soybean evaluated by the diagnosis and recommendation integrated system (DRIS).
  • 10
  • Highly Influential
Plant analysis with standardized scores combines DRIS and sufficiency range approaches for corn
  • 87
DRIS diagnoses of soybean nitrogen, phosphorus, and potassium status are unsatisfactory
  • 20
Geostatistical strategy for soil sampling: the survey and the census
  • 62
  • Highly Influential
The Diagnosis and Recommendation Integrated System (DRIS)
  • 389
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