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Record W2604440329 · doi:10.15414/afz.2017.20.01.16-19

Contents of labile carbon and nitrogen under different soil management practices in a vineyard in an extremely humid year

2017· article· en· W2604440329 on OpenAlexaboutno aff
Vladimí­r Šimanský

Bibliographic record

VenueActa fytotechnica et zootechnica/Acta fytotechnica et zootechnica · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHorticultural and Viticultural Research
Canadian institutionsnot available
Fundersnot available
KeywordsVineyardTillageAnimal scienceSoil managementPloughAgronomySoil carbonNitrogenChemistrySoil waterEnvironmental scienceHorticultureBiologySoil science

Abstract

fetched live from OpenAlex

Received: 2016-09-06 | Accepted: 2016-10-19 | Available online: 2017-03-31 http://dx.doi.org/10.15414/afz.2017.20.01.16-19 In a productive vineyard, the influence of different soil management practices on labile carbon and nitrogen and its dynamics of Rendzin Leptosol was studied. In 2006, an experiment of the different management practices in a productive vineyard was established in the locality of Nitra-Dražovce (part of the Nitra City), which is in the Nitra wine-growing area (Slovakia). The following treatments were established: 1. control Co (grass without fertilizers application), 2. T (tillage), 3. T + FM (tillage + farmyard manure), 4. G + NPK3 (grass + NPK 120-55-19 kg ha -1 ), 5. G + NPK1 (grass + NPK 80-35-135 kg ha -1 ). Soil samples were collected every month (0-20 cm), during the year 2010. The results showed that labile carbon content (C L ) fluctuated from 1820 to 2673 mg kg -1 and the soil management practices had a statistically significant influence on C L . The C L contents under T, T + FYM, G + NPK1 and G + NPK3 increased by 6  %, 11  %, 5  % and 13  %, respectively compared to Co treatment. During 2010, the dynamics of C L found no trend in all treatments. The highest N pot content was in Co treatment (90 mg kg -1 ) than in other soil management practices in a vineyard. On average, there was a smaller higher value of N pot in T + FM (78 mg kg -1 ) than in G + NPK3 (77 mg kg -1 ). During 2010, the dynamics of N pot found no trend in all treatments, except Co treatment. In Co, the N pot decline at an average speed of 4.18 mg kg -1 year -1 . The C L : N pot ratios were different and their values were significant correlated only with N pot (r = -0.854, P < 0.001). During 2010, the dynamics of C L : N pot ratio showed an increasing trend with time in Co treatment. Keywords: labile carbon, Rendzin Leptosol, potentially mineralizable nitrogen, vineyards, fertilizers application References Blair, G.J. et al. (1995) Soil carbon fractions based on their degree of oxidation, and the development of a carbon management index for agricultural system. Aust. J.  Agri. Res ., vol. 46, pp. 1459–1466. Canellas, LP. et al. (2014) Soil organic matter quality from soils cropped by traditional peasants. Sustainable Agriculture Research , vol. 4, n. 3, pp. 63-74. doi: http://dx.doi.org/10.5539/sar.v3n4p63 Fecenko, J. and Ložek, O. (2000). Nutrition and fertilization of field crops . Nitra: SUA. 452 p. (in Slovak). IUSS Working Group WRB (2006) World reference base for soil resources. World Soil Resources Reports no. 103 . Rome: FAO. Janzen, H.H. et al. (1997) Soil organic matter dynamics and their relationship to soil quality. in: Gregorich, E.G. and Carter, M.R. (Eds.), Soil Quality for Crop Production and Ecosystem Health. Elservier, Amsterdam, pp. 277–291. KUZYAKOV, Y. et al. 2000. Review of mechanisms and quantification of priming effects. Soil Biology and Biochemistry , vol. 32, n. 11-12, pp. 1485–1498. doi: http://dx.doi.org/10.1016/S0038-0717(00)00084-5 Liang B.C. and MacKenzie, A.F. (1996) Effect of fertilization on organic and microbial nitrogen using 15 N under corn ( Zea mays L.) in two Quebec soils. Fertil. Res ., vol. 44, pp. 143–149. LoginoW, W. et al. (1987) Fractionation of organic carbon based on susceptibility to oxidation.  Pol. J. Soil Sci. , vol. 20, pp. 47–52. MASON, P.A. et al. (2000) Interactions of nitrogen and phosphorus on mycorrhizal development and shoot growth of Eucalyptus (Labill) seedings inoculated with two different ectomycorrhizal fungi.  Forest Eco. Manage., vol. 128, pp. 259–268. Paterson, E. et al. (1997) Effect of elevated CO 2 on rhizosphere carbon flow and soil microbial processes.  Global Change Biol ., vol. 3, pp. 363–377. Semenov, V.M. et al. (2013) Humification and Nonhumification Pathways of the Organic Matter Stabilization in Soil: A Review.  Eurasian Soil Science , vol. 46, n. 4, pp. 355–368. doi: http://dx.doi.org/10.1134/S106422931304011X STANDFORD, G. and SMITH, S. J. (1978) Oxidative release of potentially mineralizable soil nitrogen by acid permanganate extraction.  Soil Science , vol. 126, n. 4, pp. 210–218. Szombathová, N. (1999) The comparison of soil carbon susceptibility to oxidation by KMnO 4 solutions in different farming systems. Humic substances in the environment , vol. 1, pp. 35–39. Šimanský, V. (2013) Soil organic matter in water-stable aggregates under different soil management practices in a productive vineyard. Arch. Agron. Soil Sci ., vol. 59, pp. 1207–1214. doi: http://dx.doi.org/10.1080/03650340.2012.708103 ŠIMANSKÝ, V. and POLLÁKOVÁ, N. (2014) Soil organic matter and sorption capacity under different soil management practices in a productive vineyard. In Archives of Agronomy and Soil Science, vol. 60, no. 8, pp. 1145–1154. doi: http://dx.doi.org/10.1080/03650340.2013.865837 ŠIMANSKÝ, V. and JONCZAK, J. (2016) Water-stable aggregates as a key element in the stabilization of soil organic matter in the Chernozems. Carpathian journal of earth and environmental sciences , vol. 11, no. 2, pp. 511-517. Tobiašová, E. et al. (2012) Influence of particle size distribution of soil on the quantity and quality of soil organic matter. Acta Fytotechnica et Zootechnica , vol. 15, no. 1, pp. 13–18.

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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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
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 head0.082
GPT teacher head0.339
Teacher spread0.257 · 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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Citations1
Published2017
Admission routes1
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