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Record W4408442644 · doi:10.5194/egusphere-egu25-2967

How much will reduced tillage and alternative crop rotations reduce runoff and sediment generations in a potato production system in Atlantic Canada?

2025· preprint· en· W4408442644 on OpenAlexaffabout
Sheng Li, Yulia Kupriyanovich, Fangzhou Zheng, Ikechukwu Agomoh

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicPotato Plant Research
Canadian institutionsUniversity of Fredericton
Fundersnot available
KeywordsTillageSurface runoffSedimentEnvironmental scienceProduction (economics)CropCrop productionCrop rotationAgroforestryAgronomyAgricultural engineeringGeographyEconomicsAgricultureGeologyEngineeringArchaeologyEcologyBiologyGeomorphology

Abstract

fetched live from OpenAlex

Potato is the main cash crop in Atlantic Canda. Potato cropping is associated with intensive tillage and high levels of fertilizer and pest inputs. Frequent soil disturbance, together with the rolling landscape and loamy soils, has resulted in high levels of water erosion in this region. In order to reduce the water erosion risks, efforts have been made to adopt Beneficial Management Practices (BMPs) such as reduced tillage and alternative crop rotations with agro-ecological considerations. However, there is no field study to quantify the effectiveness of these BMPs. To fill this knowledge gap, rainfall simulation experiments were conducted to measure runoff and sediment generations in three crop rotations under two types of tillage. The three crop rotations examined were: the conventional Potato (PO)-Barley (BL)-Potato (POBLPO, used as the control), Corn (CO)-Spring wheat mixed with Triple mix (WT)-Potato (COWTPO) and Corn mixed with Ryegrass (CR)- Wheat mixed with Alfalfa and timothy (WA)-Potato (CRWAPO). The two types of tillage are conventional tillage (CT, used as the control) and reduced tillage (RT). A mini rainfall simulator was used to simulate 20 minutes rainfall. Runoff samples were collected every minute from which the runoff flow rate, sediment export rate and sediment concentration at every minute were determined. Cumulative measures such as runoff discharge, sediment yield and Flow-Weighted Mean Sediment Concentration (FWMSC) were calculated for 5, 10, 15 and 20 minutes durations of simulated rainfall.The results overall demonstrate the strong effects of tillage and crop rotation on runoff and sediment generations although there were some exceptions. In the cash crop year, compared to CT, RT increased runoff discharge for short durations of rainfall but reduced it slightly for long durations of rainfall. For PO, RT only reduced sediment yield and FWMSC slightly but for CO and CR, sediment yield and FWMSC reductions by RT were more than 100 times. Compared to PO, CO and CR significantly reduced runoff discharge,  sediment yield and FWMSC. In particular, the reductions of sediment yield and FWMSC from PO to CO and CR under RT were more than 100 times. In the rotational crop year, compared to CT, RT reduced runoff discharge mostly by more than one third and reduced sediment yield and FWMSC by more than ten times. Compared to BL, WT and WA mostly reduced runoff discharge and sediment yield but the reductions were small. Based on these results, it was estimated that by switching from the conventional crop rotation (POBLPO) with conventional tillage to the alternative crop rotations (COWTPO and CRWAPO) with reduced tillage, runoff discharge, sediment yield and FWMSC on average will be reduced by 13 %, 59 % and 69 %, respectively.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.250
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes2
Has abstractyes

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