Apparent Electrical Conductivity, Soil Properties and Spatial Covariance in the U.S. Southern High Plains

2005 ◽  
Vol 6 (3) ◽  
pp. 297-311 ◽  
Author(s):  
K. F. Bronson ◽  
J. D. Booker ◽  
S. J. Officer ◽  
R. J. Lascano ◽  
S. J. Maas ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Soil Properties ◽  
High Plains ◽  
Spatial Covariance ◽  
Southern High Plains ◽  
Apparent Electrical Conductivity ◽  
The U.S

Relating apparent electrical conductivity to soil properties across the north-central USA

2005 ◽  
Vol 46 (1-3) ◽  
pp. 263-283 ◽  
Author(s):  
K.A. Sudduth ◽  
N.R. Kitchen ◽  
W.J. Wiebold ◽  
W.D. Batchelor ◽  
G.A. Bollero ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Soil Properties ◽  
North Central ◽  
The North ◽  
Apparent Electrical Conductivity ◽  
Central Usa

scholarly journals Apparent electrical conductivity and multivariate analysis of soil properties to assess soil constraints in orchards affected by previous parcelling

Geoderma ◽  
2018 ◽  
Vol 319 ◽  
pp. 185-193 ◽  
Author(s):  
Asier Uribeetxebarria ◽  
Jaume Arnó ◽  
Alexandre Escolà ◽  
José A. Martínez-Casasnovas
Keyword(s):  
Electrical Conductivity ◽  
Multivariate Analysis ◽  
Soil Properties ◽  
Soil Constraints ◽  
Apparent Electrical Conductivity

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.

Canopy temperature depression at grain filling correlates to winter wheat yield in the U.S. Southern High Plains

2018 ◽  
Vol 217 ◽  
pp. 11-19 ◽  
Author(s):  
Sushil Thapa ◽  
Kirk E. Jessup ◽  
Gautam P. Pradhan ◽  
Jackie C. Rudd ◽  
Shuyu Liu ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Wheat Yield ◽  
Canopy Temperature ◽  
Grain Filling ◽  
High Plains ◽  
Southern High Plains ◽  
Canopy Temperature Depression ◽  
Winter Wheat Yield ◽  
Temperature Depression ◽  
The U.S

scholarly journals Planting Date Effects on Cotton Lint Yield and Fiber Quality in the U.S. Southern High Plains

Agriculture ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 82 ◽  
Author(s):  
Steven Mauget ◽  
Mauricio Ulloa ◽  
Jane Dever
Keyword(s):  
Fiber Quality ◽  
Quality Parameters ◽  
Planting Date ◽  
Seed Vigor ◽  
High Plains ◽  
Fiber Elongation ◽  
Southern High Plains ◽  
Planting Dates ◽  
Cotton Lint ◽  
The U.S

Cotton planting date effects in the U.S. Southern High Plains (SHP) were evaluated based on 11 years of May-planted and June-planted irrigated variety trials. Multiple cultivars planted in each year’s trial allowed for the calculation of 153 yield effects and 162 effects in 5 fiber quality parameters. Yield and quality effects were considered in the context of related changes in total growing season degree days (GDDS) and total cool hours (CHRS) during a boll formation period 80 to 110 days after planting. May planting increased GDDS and significantly increased yields in 8 of 10 years that comparisons could be made. Micronaire and fiber elongation were the most sensitive quality parameters to planting date. June planting resulted in increased CHRS every year and a significantly higher incidence of low micronaire in 7 of 11 years. In 7 of 11 years May planting significantly reduced fiber elongation relative to June planting. Analysis of SHP temperature data show that late-April to early-May planting dates may increase yield and micronaire by maximizing GDDS and minimizing CHRS. Although this practice may be optimal to the SHP environment it may also require high-vigor seed and pre-planting irrigation. Adapting genetics to an early planting strategy might include selecting for improved seed vigor and cold germination with acceptable yield and fiber quality traits.

Evapotranspiration, water productivity and crop coefficients for irrigated sunflower in the U.S. Southern High Plains

2015 ◽  
Vol 162 ◽  
pp. 33-46 ◽  
Author(s):  
Terry A. Howell ◽  
Steven R. Evett ◽  
Judy A. Tolk ◽  
Karen S. Copeland ◽  
Thomas H. Marek
Keyword(s):  
Water Productivity ◽  
High Plains ◽  
Southern High Plains ◽  
Crop Coefficients ◽  
The U.S
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