2018
DOI: 10.4025/actasciagron.v40i1.34989
|View full text |Cite
|
Sign up to set email alerts
|

<b>Soil penetration resistance mapping quality: effect of the number of subsamples

Abstract: There is no consensus in the literature regarding how many subsamples are needed to perform accurate on-farm soil penetration resistance (SPR) mapping. Therefore, the objective of this study was to define the number of subsamples per sampling point needed to quantify the SPR. The experiment was performed in a 4.7 ha area and employed a 50 × 50 m grid system (18 sampling points). The SPR was evaluated using a digital penetrometer in two different years with 1, 2, 3, 4, 5, 6, 9, 12, and 15 subsamples per samplin… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
12
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 7 publications
(12 citation statements)
references
References 21 publications
(44 reference statements)
0
12
0
Order By: Relevance
“…The increase in the number of readings per sample point caused an increase in the proportion between the contribution (C) and plateau (C0+C) and a reduction in the number of errors based on the estimation done using kriging during cross-validation (Table 1). This implies greater accuracy of the maps generated, as verified by Pias et al (2018) in a study on the influence of the number of subsamples on the preparation of the maps of the soil resistance to penetration. Increasing the number of readings per sample point helps detail the representation of the local variability, which tends to smooth the variability between the sample points.…”
Section: Resultsmentioning
confidence: 83%
See 3 more Smart Citations
“…The increase in the number of readings per sample point caused an increase in the proportion between the contribution (C) and plateau (C0+C) and a reduction in the number of errors based on the estimation done using kriging during cross-validation (Table 1). This implies greater accuracy of the maps generated, as verified by Pias et al (2018) in a study on the influence of the number of subsamples on the preparation of the maps of the soil resistance to penetration. Increasing the number of readings per sample point helps detail the representation of the local variability, which tends to smooth the variability between the sample points.…”
Section: Resultsmentioning
confidence: 83%
“…Increasing the number of readings per sample point helps detail the representation of the local variability, which tends to smooth the variability between the sample points. According to the methodology of Pias et al (2018), to obtain a 10% error based on the mean of ECa in the area where the present study was performed, it would be necessary to perform 30 readings per sample point. Therefore, additional 10 readings would be required.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Similarly, Canarache (1990) stated that soil PR must be lower than 2.5 MPa. However, critical PR values may vary depending on soil structural conditions, tillage system, and soil moisture and texture (Pias et al, 2018). Conversely, Seidel et al (2018) stated that, in a system without annual plowing, PR values up to 3.0 MPa are tolerable and do not reduce soybean yield.…”
Section: Soil Penetration Resistance (Pr)mentioning
confidence: 99%