Soil moisture distribution mapping in topsoil and its effect on maize yield
Soil moisture content directly influences yield. Mapping within field soil moisture content differences provides information for agricultural management practices. In this study we aimed to find a cost-effective method for mapping within field soil moisture content differences. Spatial coverage of t...
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Published in | Biológia Vol. 72; no. 8; pp. 847 - 853 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Cham
Springer International Publishing
01.08.2017
De Gruyter Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | Soil moisture content directly influences yield. Mapping within field soil moisture content differences provides information for agricultural management practices.
In this study we aimed to find a cost-effective method for mapping within field soil moisture content differences. Spatial coverage of the field sampling or TDR method is still not dense enough for site-specific soil management. Soil moisture content can be calculated by measuring the apparent soil electrical conductivity (
EC
a
) using the Veris Soil EC-3100 on-the-go soil mapping tool.
EC
a
is temperature dependent; therefore values collected in different circumstances were standardized to 25°C temperature (
EC
25
). Constants for Archie’s adjusted law were calculated separately, using soil temperature data. According to our results, volumetric moisture content can be mapped by applying
EC
a
measurements in our particular field with high spatial accuracy. Even though within-field differences occure in the raw
EC
a
map standardization to
EC
25
is recommended.
Soil moisture map was also compared to yield map showing correlation (
R
2
= 0.5947) between the two datasets. |
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ISSN: | 0006-3088 1336-9563 |
DOI: | 10.1515/biolog-2017-0100 |