Representative sampling size for strip sampling and number of required samples for random sampling for soil nutrients in direct seeded fields

Representative sampling size for strip sampling and number of required samples for random... Direct seeding is a common agricultural practice in the southern Canadian prairies. The associated band application of fertilizers with minimal disturbance makes conventional soil sampling problematic, as it results in considerable micro-scale variability. Sampling via the collection of strips of soil taken from across the seed and fertilizer bands has been suggested in low disturbance direct seeded fields to help account for this variability. To obtain adequate point-based random samples across entire field areas is an alternative for reliable mean soil nutrient contents. The objective of this study was to identify the representative sampling size (RSS) for strip sampling and the number of required samples (NRS) for point-based random sampling. Soil samples of 0–10 and 10–20 cm depth increments were collected from a 4 ha portion in each of two wheat fields in the Brown soil zone in south-central Saskatchewan. One field (VF field) had a history of fertilization at a variable rate while the other field (CF field) was fertilized at a constant rate. The coefficient of variation (CV) versus sampled strip length was plotted and the RSS was defined when CV ≤10 %. The central limit theorem was used to determine the NRS with relative errors of ±5 to ±20 % at a confidence level of 95 %. The results showed that the RSSs (strip lengths) were 62 and 35 cm, respectively, for assessing available nitrogen (NO3 −-N and NH4 +-N) and extractable, available P. The NRSs differed with sampled field but not with nutrient type and soil layer. With a confidence level of 95 %, about 37 and 81 random samples were needed in the VF and CF fields, respectively, to obtain mean soil nutrient contents with a relative error of ±10 %. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Precision Agriculture Springer Journals

Representative sampling size for strip sampling and number of required samples for random sampling for soil nutrients in direct seeded fields

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Publisher
Springer US
Copyright
Copyright © 2014 by Springer Science+Business Media New York
Subject
Life Sciences; Agriculture; Soil Science & Conservation; Remote Sensing/Photogrammetry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Atmospheric Sciences
ISSN
1385-2256
eISSN
1573-1618
D.O.I.
10.1007/s11119-014-9384-3
Publisher site
See Article on Publisher Site

Abstract

Direct seeding is a common agricultural practice in the southern Canadian prairies. The associated band application of fertilizers with minimal disturbance makes conventional soil sampling problematic, as it results in considerable micro-scale variability. Sampling via the collection of strips of soil taken from across the seed and fertilizer bands has been suggested in low disturbance direct seeded fields to help account for this variability. To obtain adequate point-based random samples across entire field areas is an alternative for reliable mean soil nutrient contents. The objective of this study was to identify the representative sampling size (RSS) for strip sampling and the number of required samples (NRS) for point-based random sampling. Soil samples of 0–10 and 10–20 cm depth increments were collected from a 4 ha portion in each of two wheat fields in the Brown soil zone in south-central Saskatchewan. One field (VF field) had a history of fertilization at a variable rate while the other field (CF field) was fertilized at a constant rate. The coefficient of variation (CV) versus sampled strip length was plotted and the RSS was defined when CV ≤10 %. The central limit theorem was used to determine the NRS with relative errors of ±5 to ±20 % at a confidence level of 95 %. The results showed that the RSSs (strip lengths) were 62 and 35 cm, respectively, for assessing available nitrogen (NO3 −-N and NH4 +-N) and extractable, available P. The NRSs differed with sampled field but not with nutrient type and soil layer. With a confidence level of 95 %, about 37 and 81 random samples were needed in the VF and CF fields, respectively, to obtain mean soil nutrient contents with a relative error of ±10 %.

Journal

Precision AgricultureSpringer Journals

Published: Oct 18, 2014

References

  • Soil spatial variability and site-specific fertilization maps in an apple orchard
    Aggelopoulou, KD; Pateras, D; Fountas, S; Gemtos, TA; Nanos, GD
  • Spatial variability of soil nutrients and microbiological properties after the establishment of leguminous shrub Caragana microphylla Lam. plantation on sand dune in the Horqin Sandy Land of Northeast China
    Cao, CY; Jiang, SY; Ying, Z; Zhang, FX; Han, XS

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