NDLI: Soil Nutrient Relationships with Topography as Influenced by Crop

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Soil Nutrient Relationships with Topography as Influenced by Crop

Content Provider	Springer Nature Link
Author	Franzen, D. W. Hofman, V. L. Cihacek, L. J. Swenson, L. J.
Copyright Year	1999
Abstract	Variable-rate fertilizer application is often based on grid soil sample data from a single year of data in an annual crop rotation. The objectives of this study were to determine if crop history influences spatial dependence (the degree of spatial variability) of nutrients in a rotation including both annual crops and alfalfa, and to compare grid-based and topography-based sampling strategies for representing within-field nutrient levels. A site in the Red River Valley of North Dakota was observed over three years from 1994–1996. The site was divided into one field of continuous alfalfa (Medica sativa L.) and an adjacent field seeded to spring wheat (Triticum aestivum L.) in 1994, barley (Hordeum vulgare L.) in 1995 and alfalfa in 1996. Samples were taken from a 16.2-ha site each fall in a 33-m grid and analyzed for NO$_{3}$-N, P, SO$_{4}$-S and Cl. Topography was determined by measuring elevation in a 33-m grid with a laser-surveying device. Spatial dependence was determined by calculating the semivariogram and using regression analysis to assess the relationship between the semivariogram and the semivariogram model. Spatial dependence of NO$_{3}$-N and P was strongest following spring wheat and barley, while spatial dependence for SO$_{4}$-S and C1 was strongest for vigorous stands of alfalfa. When the continuous alfalfa stand declined following winter kill, NO$_{3}$-N and P spatial dependence intensified. Topography based sampling was correlated with the 33-m grid by giving each 33-m sampling location its value as directed by a topography sampling, then correlating that topography based value with the original 33-m sampling value. Topography-based sampling was correlated with the 33-m sampling grid for all nutrients following spring wheat and barley, but not in continuous alfalfa until the stand began to decline in vigor. Following alfalfa seeding in the annual crop field, topography relationships with NO$_{3}$-N and P decreased, while topography relationships with SO$_{4}$-S and Cl increased. Topography samplings of sulfate-S and chloride were most highly correlated to 33-m grid values in vigorous alfalfa. Lack of NO$_{3}$-N spatial dependence in the vigorous alfalfa stands suggests that a composite or field average soil test might be sufficient to provide soil NO$_{3}$-N information under similar conditions.
Starting Page	167
Ending Page	183
Page Count	17
File Format	PDF
ISSN	13852256
Journal	Precision Agriculture
Volume Number	1
Issue Number	2
e-ISSN	15731618
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	1999-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Meteorology/Climatology Remote Sensing/Photogrammetry Agriculture Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences Soil Science & Conservation
Content Type	Text
Resource Type	Article
Subject	Agricultural and Biological Sciences

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