Determination of site-specific management zones using soil physico-chemical properties and crop yields in coastal reclaimed farmland

Geoderma ◽  
2014 ◽  
Vol 232-234 ◽  
pp. 381-393 ◽  
Author(s):  
Rong-Jiang Yao ◽  
Jing-Song Yang ◽  
Tong-Juan Zhang ◽  
Peng Gao ◽  
Xiang-Ping Wang ◽  
...  
Keyword(s):  
Crop Yields ◽  
Chemical Properties ◽  
Site Specific ◽  
Management Zones ◽  
Physico Chemical ◽  
Specific Management

Delineation of management zones with measurements of soil apparent electrical conductivity in the southeastern pampas

2013 ◽  
Vol 93 (2) ◽  
pp. 205-218 ◽  
Author(s):  
Nahuel Raúl Peralta ◽  
José Luis Costa ◽  
Mónica Balzarini ◽  
Hernán Angelini
Keyword(s):  
Electrical Conductivity ◽  
Soil Properties ◽  
Stepwise Regression ◽  
Clay Soil ◽  
Crop Yields ◽  
Management Strategies ◽  
Site Specific ◽  
Management Zones ◽  
Apparent Electrical Conductivity ◽  
Specific Management

Peralta, N. R., Costa, J. L., Balzarini, M. and Angelini, H. 2013. Delineation of management zones with measurements of soil apparent electrical conductivity in the southeastern pampas. Can. J. Soil Sci. 93: 205–218. Site-specific management demands the identification of subfield regions with homogeneous characteristics (management zones). However, determination of subfield areas is difficult because of complex correlations and spatial variability of soil properties responsible for variations in crop yields within the field. We evaluated whether apparent electrical conductivity (ECa) is a potential estimator of soil properties, and a tool for the delimitation of homogeneous zones. ECamapping of a total of 647 ha was performed in four sites of Argentinean pampas, with two fields per site composed of several soil series. Soil properties and ECawere analyzed using principal components (PC)–stepwise regression and ANOVA. The PC–stepwise regression showed that clay, soil organic matter (SOM), cation exchange capacity (CEC) and soil gravimetric water content (θg) are key loading factors, for explaining the ECa(R2≥0.50). In contrast, silt, sand, extract electrical conductivity (ECext), pH values and [Formula: see text]-N content were not able to explain the ECa. The ANOVA showed that ECameasurements successfully delimited three homogeneous soil zones associated with spatial distribution of clay, soil moisture, CEC, SOM content and pH. These results suggest that field-scale ECamaps have the potential to design sampling zones to implement site-specific management strategies.

Assessing the temporal stability of spatial patterns in crop yields using combine yield monitor data

2005 ◽  
Vol 85 (3) ◽  
pp. 439-451 ◽  
Author(s):  
John D Lauzon ◽  
David J Fallow ◽  
Ivan P O’Halloran ◽  
Sharon D. L. Gregory ◽  
A. Peter von Bertoldi
Keyword(s):  
Crop Yields ◽  
Temporal Stability ◽  
Grid Size ◽  
M Cell ◽  
Site Specific ◽  
Management Zones ◽  
Crop Choice ◽  
Stability Maps ◽  
Monitor Data

Using previous years’ yield patterns may be one method of breaking a field into management zones for the purpose of site-specific management. For this method to be useful there must be temporal stability of yield patterns and there must be a sound method of assessing the spatial-temporal stability of yield in a field. To this end, a method was developed to give a non-biased estimate of the within-field spatial-temporal stability of yield. The method determined the probability that the normalized yield for all years available at a given location in the field fit within the accuracy limits of the combine. Combine accuracies of ± 2.5%, 5% and 10% of the field mean yield and gridded data of 3 m, 6 m, and 9 m cell sizes, as well as crop choice were all included in the model to assess its sensitivity to changes in these factors. The resulting spatial-temporal stability maps were well correlated with visual estimations of the spatial yield patterns. The model results were highly influenced by the inputted combine accuracy, but grid size and crop choice had little affect on the proportion of the field or the spatial pattern of temporal stability in the two field sites examined. The sensitivity of the model to changes in the input value for the combine accuracy indicated that a good estimate of this value is required for the determination of the stable patterns in a field. Key words: Spatial-temporal stability, yield

scholarly journals Identificación de zonas de manejo sitio-específico a partir de la combinación de variables de suelo

2012 ◽  
Vol 13 (1) ◽  
pp. 47 ◽  
Author(s):  
Mariano Córdoba ◽  
Mónica Balzarini ◽  
Cecilia Bruno ◽  
José Luis Costa
Keyword(s):  
Spatial Variability ◽  
Principal Component ◽  
Production Potential ◽  
Site Specific ◽  
Management Zones ◽  
Soil Variables ◽  
Regionalized Variables ◽  
Several Variables ◽  
Specific Management

<p>El manejo sitio-específico demanda la identificación de sub-regiones homogéneas, o zonas de manejo (ZM), dentro del espacio productivo. Sin embargo, definir ZM suele ser complejo debido a que la variabilidad espacial del suelo puede depender de varias variables. La zonificación o delimitación de ZM puede realizarse utilizando una variable de suelo a la vez o considerando varias variables simultáneamente. Entre los métodos de análisis multivariado, difundido para la zonificación, se encuentra el análisis de conglomerados fuzzy k-means (KM) y el análisis de componentes principales (PCA). No obstante, como otros métodos multivariados, éstos no han sido desarrollados específicamente para datos georreferenciados. Una nueva versión del PCA, conocido como MULTISPATI-PCA (PCAe), permite contemplar la autocorrelación espacial entre datos de variables regionalizadas. El objetivo de este estudio fue proponer una nueva estrategia de análisis para la identificación de ZM, combinando la aplicación KM y PCAe sobre datos de múltiples variables de suelo. La capacidad del método propuesto se evaluó en base a la comparación de los rendimientos promedios alcanzados en cada zona delimitada, tanto para la combinación de KM con PCA, la aplicación tradicional de KM sobre las variables originales y la nueva propuesta KM-PCAe. Los resultados mostraron que KM-PCAe fue el único método que permitió distinguir zonas estadísticamente diferentes en cuanto al potencial productivo. Se concluye que la combinación propuesta constituye una herramienta importante para el mapeo de la variabilidad espacial y la identificación de ZM a partir de datos georreferenciados. </p><p> </p><p><strong>Identification of site-specific management zones from combination of soil variables</strong></p>Site-specific management demands the identification of homogeneous subfield regions within the field or management zones (MZ). However, due to the spatial variability of soil variables, determination of MZ from several variables, is often complex. Although the zonification or delimitation of MZ may be univariate, it is more appropriate to consider all variables simultaneously. Fuzzy k-means clustering (KM) and principal component analysis (PCA) are multivariate analyses that have been used for zonification. Nevertheless, PCA and KM have not been explicitly developed for georeferenced data. Novel versions of PCA, known as MULTISPATI-PCA (PCAe), incorporate spatial autocorrelation among data of neighbor sites of regionalized variables. The objective of this study was to propose a new analytical tool to identify homogeneous zones from the combination of KM and PCAe on multiple soil variable data. The performance of proposed method was assessed through comparison of the average yields obtained in each zone delimited by combination of KM with PCA, as well as KM on the original variables and the new proposed method KM-PCAe. The results showed that KM-PCAe was the only method able to identify zones statistically different in terms of production potential. PCAe and its combination with KM are useful tools to map spatial variability and to identify MZ within fields from georeferenced data.

scholarly journals Delineating site-specific management zones for pH-induced iron chlorosis

2008 ◽  
Vol 9 (1-2) ◽  
pp. 71-84 ◽  
Author(s):  
T. Kyaw ◽  
R. B. Ferguson ◽  
V. I. Adamchuk ◽  
D. B. Marx ◽  
D. D. Tarkalson ◽  
...  
Keyword(s):  
Iron Chlorosis ◽  
Site Specific ◽  
Management Zones ◽  
Specific Management

Determination of physico chemical properties of biodiesel from Citrullus lanatus seeds oil and diesel blends

2018 ◽  
Vol 122 ◽  
pp. 702-708 ◽  
Author(s):  
S. Sani ◽  
M.U. Kaisan ◽  
D.M. Kulla ◽  
A.I. Obi ◽  
A. Jibrin ◽  
...  
Keyword(s):  
Citrullus Lanatus ◽  
Chemical Properties ◽  
Physico Chemical

scholarly journals Site-Specific Management Zones Based on Soil Electrical Conductivity in a Semiarid Cropping System

2003 ◽  
Vol 95 (2) ◽  
pp. 303 ◽  
Author(s):  
Cinthia K. Johnson ◽  
David A. Mortensen ◽  
Brian J. Wienhold ◽  
John F. Shanahan ◽  
John W. Doran
Keyword(s):  
Electrical Conductivity ◽  
Cropping System ◽  
Soil Electrical Conductivity ◽  
Site Specific ◽  
Management Zones ◽  
Specific Management

scholarly journals Diagnostics of boron deficiency for plants in reference to boron concentration in the soil solution  

2013 ◽  
Vol 59 (No. 8) ◽  
pp. 372-377 ◽  
Author(s):  
W. Szulc ◽  
B. Rutkowska
Keyword(s):  
Soil Properties ◽  
Soil Solution ◽  
Boron Concentration ◽  
Chemical Properties ◽  
Boron Deficiency ◽  
Organic C ◽  
Physico Chemical ◽  
Nutritional Needs ◽  
Cultivated Soils

The determination of a range of boron concentration in the soil solution, evaluation of the effect of physico-chemical soil properties on boron concentration in the soil solution as well verification whether boron quantity in the soil solution is sufficient for nutritional needs of selected plants cultivated in Poland were comprised. Average boron concentration in the soil solution of Poland&rsquo;s cultivated soils ranges from 0.59 to 5.07 &micro;mol/L and is differentiated by physico-chemical properties of soil. Taking into account decreasing effects of soil properties on the increase of boron concentration in the soil solution, the soil properties can be arranged as follows: organic C &gt;<br />soil abundance in available boron &gt; soil texture &gt; soil pH. The minimum boron quantity observed in the soil solution of Poland&rsquo;s cultivated soils was not sufficient to fulfil nutritional needs of the plants. The maximum boron quantity observed secured nutritional needs of cereals and potatoes but not those of rape plants and sugar beets. Based on the study it can be concluded that the measurement of the concentration of boron in the soil solution can be used in the diagnosis of deficiency of this element for crops.

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