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The long-term different tillage and its effect on physical properties of heavy soils

2018· article· en· W2917629207 on OpenAlexaboutno aff
Danka Kotorová, Ladislav Kováč, Jana Jakubová, Pavol Balla

Bibliographic record

VenueActa fytotechnica et zootechnica/Acta fytotechnica et zootechnica · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCrop Yield and Soil Fertility
Canadian institutionsnot available
Fundersnot available
KeywordsTillageTerm (time)Soil waterEnvironmental scienceSoil scienceAgronomyPhysicsBiology

Abstract

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Article Details: Received: 2018-05-31   |   Accepted: 2018-07-09   |   Available online: 2018-09-31 https://doi.org/10.15414/afz.2018.21.03.100-107 Between 2006 and 2015 years the effect of different tillage of heavy clay loamy soils on their physical properties were studied. Field treatments were carried on Experimental workplace in Milhostov, in central part of the East Slovak Lowland. Conventional tillage, reduce tillage and no-tillage practises were examined. Soil samples were taken from topsoil in natural conditions without irrigation in spring time by Kopecky's rollers. From basic physical soil properties, the bulk density, total porosity and maximum capillary water capacity were analysed by known methods. The linear trend analysis was used for testing of long-term application of different soil tillage in relation to soil properties. Bulk density was in range 1331 – 1623 kg m -3 , the lowest average values (in average 1466 kg m -3 ) was found for reduce tillage. Total porosity answered to bulk density and its values was from 38.12 % to 49.26 %, higher values were at conventional and reduce tillage and lower at no-tillage practise. Maximum capillary water capacity values in range 31.65 – 42.03 % reached level of values typical for heavy soils of the East Slovak Lowland. The trend analysis of 10-years-time series indicate decreasing of bulk density at conventional and reduce tillage variants, but its increasing for no-tillage variant. The time course of the total porosity had the opposite course than bulk density. Mainly for no-tillage variant, trend of decreasing of total porosity influence the possibility of air and water regimes changes for clay-loamy soil, which may result in a reduction of the transport function of soil. During observed period the changes of maximum capillary water capacity wasn’t significant. Application of soil protective technologies for heavy soils as integrated system, in long-time horizon doesn't have to mean deterioration of basic soil physical parameters. Key words: heavy soils, soil tillage, physical soil properties, long-term treatments, trend analyse References ALVAREZ, R., STEINBACH, H. S. 2009. A review of the effects of tillage systems on some physical properties, water content, nitrate availability and crops yield in the Argentine Pampas. In: Soil Tillage Res., vol. 104, 2009, p. 1-15. DOI: https://doi.org/10.1016/j.still.2009.02.005 BÜCHI, L., WENDLING, M., AMOSSÉ, C., JEANGROS, B., SINAJ, S., CHARLES, R. 2017. Long and short term changes in crop yield and soil properties induced by the reduction of soil tillage in a long experiment in Switzerland. In: Soil Tillage Res., vol. 174, 2017, p. 120-129. DOI: https://doi.org/10.1016/j.still.2017.07.002 DAM, R. F., MEHDI, B. B., BURGESS, M. E. E., MADRAMOOTOO, C. A., MEHUYS, G. R. CALLUM, I. R. 2006. Soil bulk density and crop yield under eleven consecutive years of corn with different tillage and residue practices in a sandy loam soil in central Canada. In: Soil Tillage Res., vol. 84, 2006, N. 1, p. 41-53. DOI: https://doi.org/10.1016/j.still.2004.08.006 ELDER, J. W., LAL, R. 2008. Tillage effect on physical properties of agricultural organic soils of north central Ohio. In: Soil Tillage Res., vol. 98, 2008, N. 2, pp. 208-210. DOI: https://doi.org/10.1016/j.still.2007.12.002 GŁĄB, T., KULIG, B. 2008. Effect of mulch and tillage system on soil porosity under wheat ( Triticum aestivum ). In: Soil Tillage Res., vol. 99, 2008, p. 169-178. DOI: https://doi.org/10.1016/j.still.2008.02.004 HRIVŇÁKOVÁ, K., MAKOVNÍKOVÁ, J. et al. 2011. Jednotné pracovné postupy rozborov pôd . (in Slovak)  1. vyd. Bratislava : VÚPOP, 2011. 136 s. ISBN 978-80-89128-89-1 CHAJDIAK, J. 2005. Štatistické úlohy a ich riešenie v Exceli. (In Slovak) Bratislava : Statis, 2005. 268 s. ISBN 80-85659-39-5 KOTOROVÁ, D. 2007. Zmeny vlastností ílovito-hlinitej pôdy pri jej rozdielnom obrábaní. (in Slovak) In: Agriculture (Poľnohospodárstvo), roč. 53, 2007, č. 4, s. 183-190. KOTOROVÁ, D., MATI, R. 2008. Properties and moisture regime of heavy soils in relation to their cultivation. In: VII. Alps-Adria Scientific Workshop, Cereal Research Communications, vol. 36, 2008, Suppl., p. 1751-1754. KOTOROVÁ, D., ŠOLTYSOVÁ, B. 2011. Fyzikálno-chemické vlastnosti ťažkých pôd. (in Slovak) 1. vyd. Piešťany : CVRV – Výskumný ústav agroekológie Michalovce, 2011. 95 s. ISBN 978-80-89417-34-6 KOTOROVÁ, D., ŠOLTYSOVÁ, B. 2015. Vplyv pôdnych pomocných látok na fyzikálne a chemické vlastnosti pôd. (in Slovak) 1. vyd. Lužianky : NPPC – Výskumný ústav agroekológie Michalovce, 2015. 95 s. ISBN 978-80-971644-4-7 KOTOROVÁ, D., ŠOLTYSOVÁ, B., MATI, R. 2010. Vlastnosti fluvizemí na Východoslovenskej nížine pri ich rozdielnom obrábaní. (in Slovak) 1. vyd. Michalovce : CVRV – Výskumný ústav agroekológie, 2010. 160 s. ISBN 978-80-89417-25-4 LAL, R., REICOSKY, D. C., HANSON, J. D. 2007. Evolution of the plow over 10.000 years and the rationale for no-till farming. Soil Tillage Res, 93, 1-12. DOI: https://doi.org/10.1016/j.still.2006.11.004 LEDVINA, R. et al. 2004. Půdoochranné technologie pro pěstování polních plodin. (In Czech) In: Collection of Scientific Papers. Series for Crop Sciences. České Budějovice : Faculty of Agriculture, vol. 21, 2004, N. 2, p. 61-66. ISBN 1212-0731 LINKEŠ, V., PESTÚN, V., DŽATKO, M. 1996. Príručka pre používanie máp bonitovaných pôdno-ekologických jednotiek. (In Slovak) 3. vyd. Bratislava : VÚPÚ, 1996. 103 s. ISBN 80-85361-19-1 MATI R., KOTOROVÁ D. 2007. The effect of soil tillage system on soil bulk density and other physical and hydrophysical characteristics of Gleyic Fluvisol. Journal of Hydrology and Hydromechanics, 55: 4. 246-252. MOREIRA, W. H., TORMENA, C. A., KARLEN, D. L., PIRES da SILVA, A., KELLER, T., BETIOLI Jr., E. 2016. Seasonal changes in soil physical properties under no-tillage. Soil Tillage Res., 160, 53-64. DOI: https://doi.org/10.1016/j.still.2016.02.007 PALM, C., BLANCO-CANQUI, H., DECLERCK, F., GATERE, L., GRACE, P. 2014. Conservation agriculture and ecosystem services. Overview. Agric. Ecosyst. Environ. 187, 87-105. DOI: https://doi.org/10.1016/j.agee.2013.10.010 SOANE, B. D., BALL, B. C., ARVIDSSON, J., BASCH, G., MORENO, F., ROGERESTRADE, J. 2012. No-till in northern, western and south-western Europe: a review of problems and opportunities for crop production and the environment. Soil Tillage Res. 118, 66-87. DOI: https://doi.org/10.1016/j.still.2011.10.015 ŠIMANSKÝ, V., TOBIAŠOVÁ, E., CHLPÍK, J. 2008. Soil tillage and fertilization of Orthic Luvisol and their influence on chemical properties, soil structure stability and carbon distribution in water-stable macro-aggregates, Soil & Tillage Research , 100 (1-2), 125-132. DOI: https://doi.org/10.1016/j.still.2008.05.008 ŠIMANSKÝ, V., POLLÁKOVÁ, N., JONCZAK, J. 2016. Is better minimum than standard mouldboard ploughing tillage from viewpoint of the pore-size distribution and soil water retention characteristic changes? Cercetari Agronomice in Moldova, 3(167), 17-26. DOI: https://doi.org/10.1515/cerce-2016-0022 ŠIMANSKÝ, V. 2017. Is the period of 18 years sufficient for an evaluation of changes in soil organic carbon under a variety of different soil management practices? Communications in Soil Science and Plant Analysis, 48(1), 37-42. DOI: https://doi.org/10.1080/00103624.2016.1253717 ŠÚTOR, J., GOMBOŠ, M., MATI, R., TALL, A., IVANČO, J. 2007. Voda v zóne aerácie pôd Východoslovenskej nížiny. (In Slovak) Bratislava : ÚH SAV, Michalovce : SCPV – ÚAe, 2007, 280 s. ISBN 80-89139-10-8 TÓTH, Z., DUNAI, A., JOLÁNKAI, P., 2012. Effect of soil tillage on soil water content. Növénytermelés, 61: 3. 235-238. VOGELER, I., ROGASIK, J., FUNDER, U., PANTEN, K., SCHNUG, E. 2009. Effect of tillage system and P-fertilization on soil physical and chemical properties: crop yield and nutrient uptake. Soil Tillage Res. 103, 137-143. DOI: https://doi.org/10.1016/j.still.2008.10.004

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0040.003
Research integrity0.0020.003
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 head0.262
Teacher spread0.238 · 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; both teacher heads agree on what is shown here.

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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Citations2
Published2018
Admission routes1
Has abstractyes

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