• Corpus ID: 59498324

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

  title={Georeferenced soybean yield and nutritional status evaluation under no till system in Southern Brazil.},
  author={Alberto Carlos de Campos Bernardi and Pedro L.O.A. Machado and Cl{\'o}vis Ferreira Carmo and Carlos Alberto Silva and Luis Iv{\'a}n Ortiz Valencia and Claudio Bettini and Margareth Sim{\~o}es Penello Meirelles and Jos{\'e} Paulo Molin and Pierre C. Robert},
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… 
2 Citations

Figures and Tables from this paper

Variable rate application of fertilizer has the potential to improve nutrient use efficiency, improve economic returns, and reduce negative environmental impacts. The objective of this study was to
Boletim de Pesquisa e Desenvolvimento 19
Information on the types of occupation of the soils, as well as quantification and spatial pattern of land use classes are obtained in the final edition of the Current Use and Vegetation Cover map.


Spatial variability of plant analysis potassium levels
Abstract Plant samples were taken from a forty‐acre field in an 82.5 ft. grid at two sampling dates each year during a three‐year study. Soil samples were also taken in the same grid. Potassium (K)
A futuristic view of soil and plant analysis and nutrient recommendations
Abstract The wide scale adoption of site specific management (SSM) and variable rate fertilizer application (VRA) in the next 5 to 10 years portends changes in soil testing and plant analysis. To
Spatial variability of plant analysis calcium and magnesium levels before and after liming
Abstract Plant samples were taken in an 82.5 ft grid at an early and late sampling date in both 1991 and 1992 from a forty acre field in Illinois. Calcium (Ca) and magnesium (Mg) were analyzed on
Spatial variability of plant analysis phosphorus levels
Abstract Plant samples were taken from a corn field at an early and later sampling dates in an 82.5 ft. grid. The samples were analyzed for phosphorus (P) using both an acid‐digest method and a
Estimating Average and Proportional Variograms of Soil Properties and Their Potential Use in Precision Agriculture
Precision Agriculture requires a method of gathering information about the spatial variability of soil that reduces the need for expensive and intensive sampling. This can be achieved through the use
Nutrition of mycorrhizal soybean evaluated by the diagnosis and recommendation integrated system (DRIS).
Analysis by DRIS confirmed that N, P, and K were limiting, and established different rankings in the degree of deficiency for each nutrient, and permitted a ranking of the G. mosseae isolates as to their effects on the uptake of each nutrient.
Plant analysis with standardized scores combines DRIS and sufficiency range approaches for corn
When the ability to diagnose deficiencies and sufficiencies in 24 corn dry matter or grain yield comparisons, PASS had a higher efficiency rating than the SR, and the PASS overall index, but not the DRIS, was significantly correlated with relative corn grain yield in 10 comparisons showing a yield response.
DRIS diagnoses of soybean nitrogen, phosphorus, and potassium status are unsatisfactory
Abstract Previous research has shown that the Diagnosis and Recommendation Integrated System (DRIS) is useful to identify the nutrient most likely to limit yield of soybean (Glycine max). However,
Geostatistical strategy for soil sampling: the survey and the census
A soil sampling strategy for spatially correlated variables using the tools of geostatistical analysis is developed with a minimum of equations, which provides a method to balance precision, accuracy, and costs.
The Diagnosis and Recommendation Integrated System (DRIS)
The diagnosis and recommendation integrated system (DRIS) was developed by Beaufils as an objective means of coping with the difficulties inherent in diagnostic procedures.