Evaluation du pouvoir minéralisateur de sols agricoles en fonction de leurs caractéristiques physico-chimiques

Delphin, Jean-Emmanuel; Huck, Christiane; Tiquet, Jean-Luc

doi:10.1051/agro:19860505

Cited by 11 publications

(7 citation statements)

References 1 publication

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“…However, a negative relationship was found between N m , C m , and the rate constant of mineralization of the recalcitrant fraction (h N ), which demonstrates that total mineralizable C and N did not originate from humified OM. Positive relationships between the clay and N m have also been reported by Chaussod et al (1986), Delphin (1988), andSimard andN'Dayegamiye (1993). These authors concluded that physical protection of OM by clay contributed to the increasing of C and N pools in soil.…”

Section: Relationships Between Soil Particles and C And N Mineralizatsupporting

confidence: 57%

“…High coefficients of determination were obtained which varied between 0.983 and 0.999, and small RMS values measured ranging between 0.1 and 6.4 mg C kg -1 . The potentially mineralizable carbon (C 0 ) varied between 1390 to 2220 mg C kg -1 of soil, which represented 4.2 and 15.2% of total organic C. These values are in the same order of magnitude as those reported by Delphin (1988) for soils cultivated to cereals, when a double exponential model was used. Nevertheless, C 0 values found by Nicolardot (1988) were lower and varied from 71 to 716 mg C kg -1 under corn-wheat cropping systems.…”

Section: Mineralization Parameterssupporting

confidence: 51%

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Evaluation of carbon and nitrogen mineralization rates in meadow soils from dairy farms under transit to biological cropping systems

Sibih¹,

N’Dayegamiye²,

Karam³

2003

Can. J. Soil. Sci.

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Sbih, M., N'Dayegamiye, A. and Karam, A. 2003. Evaluation of carbon and nitrogen mineralization rates in meadow soils from dairy farms under transit to biological cropping systems. Can. J. Soil Sci. 83: 25-33. Mineralized soil N from meadow soils will become an important source of N to following crops in low-input biological cropping systems. The C and N mineralization rates of soils from 34 sites situated on dairy farms recently converted to biological cropping systems were evaluated in a 56-wk incubation at 25°C. Data on C and N mineralization were fitted to first-order kinetic models. Carbon and N generally presented similar patterns of mineralization. Total mineralized N (N m ) ranged between 88 and 235 mg N kg -1 soil, which represented 6.6 to 22% of total N. Carbon mineralization (C m ) rate was between 11 and 17 times greater than N mineralization (1523-2638 mg C kg -1 soil ) and C mineralized represented 9 to 19% of soil organic C. The rate constant was between 0.05 and 0.123 wk -1 for C (k C ) and ranged from 0.032 to 0.088 wk -1 for N (k N ). The half-life for C (T C 0) and for N (T N 0) varied, respectively, between 5.6 and 13.3 wk and between 15 and 28 wk. Results show that about 80% of total mineralized C and N were mineralized during the first 25 wk of incubation, corresponding to the mineralizable fraction of soil organic matter (OM). Data on C and N mineralization have been adjusted using a bicompartmental model (active and recalcitrant pools), which corresponded, respectively, to first-order and exponential equations. Total mineralizable C and N (C m and N m ), and the C and N rate constants (k C and k N ) were strongly related, whereas the rate constants of the recalcitrant pools (h c and h N ) were negatively related to these parameters. This suggests that C and N mineralizable pools were independent of the humified stable OM (recalcitrant pool). Carbon and N mineralization parameters were positively related to the soil clay and silt contents, but inversely to the sand levels. This study indicates that when ploughed, meadow soils contain large mineralizable N pools, which could sustain following crops with N nutrition in low-input biological cropping systems.

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Section: Relationships Between Soil Particles and C And N Mineralizatsupporting

confidence: 57%

Section: Mineralization Parameterssupporting

confidence: 51%

Evaluation of carbon and nitrogen mineralization rates in meadow soils from dairy farms under transit to biological cropping systems

Sibih¹,

N’Dayegamiye²,

Karam³

2003

Can. J. Soil. Sci.

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“…Its value differed greatly between the two soils: 0.87 × 10 −4 nday −1 in the chalky soil and 3.4 × 10 −4 nday −1 in the loamy soil. The much smaller value in the chalky soil is attributed to the protective effect of fine CaCO 3 on organic matter decomposition ( Muller & Védy 1978; Delphin 1986). The model can be used in similar experiments (bare soils without crop residues) to characterize the specific mineralization rate which is thought to depend mainly on soil texture.…”

Section: Discussionmentioning

confidence: 99%

Calculation of nitrogen mineralization and leaching in fallow soil using a simple dynamic model

Mary

Beaudoin

Justes

et al. 1999

European J Soil Science

111

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Summary Simple models describing nitrogen processes are required both to estimate nitrogen mineralization in field conditions and to predict nitrate leaching at large scales. We have evaluated such a model called LIXIM, which allows calculation of nitrogen mineralization and leaching from bare soils, assuming that these are the dominant processes affecting N in bare soil. LIXIM is a layered, functional model, with a 1‐day time step. Input data consist of frequent measurements of water and mineral N contents in soil cores, standard meteorological data and simple soil characteristics. The nitrate transport is simulated using the ‘mixing‐cells’ approach. The variations in N mineralization with temperature and moisture are accounted for, providing calculation of the ‘normalized time’. An optimization routine is used to estimate the actual evaporation and the N mineralization rates that provide the best fit between observed and simulated values of water and nitrate contents in all measured soil layers. The model was evaluated in two field experiments (on loamy and chalky soils) including treatments, lasting 9–20 months. The water and nitrate contents in soil were satisfactorily simulated in both sites, and all treatments, including a 15N tracer experiment performed in the loamy soil. In the chalky soil, the calculated water balance agreed well with drainage results obtained in lysimeters and independent estimates of evaporation. At both sites, N mineralization was reduced by the incorporation of crop residues (wheat or oilseed rape straw); the amounts of nitrogen immobilized varied between 20 and 35 kg N ha−1. In the treatments without crop residues, the mineralization rate followed first‐order kinetics (against normalized time) in the loamy soil, and zero‐order kinetics in the chalky soil. In the latter soil, the mineralization kinetics calculated in situ were close to the kinetics measured in laboratory conditions when both were expressed against normalized time.

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“…In soils in which organic matter accumulates below the ploughed layer, the extra N mineralisation is calculated as a fixed extra 10% of the N mineralised in the ploughed layer. The potential rate of mineralisation is calculated from the organic N pool of the considered soil layer (Norg) and the rate of mineralisation of this pool (k 2 ), which depends on the clay and limestone concentrations in the soil [21][22][23].…”

Section: Mineralisation Of Organic Sourcesmentioning

confidence: 99%

A Dynamic Decision-Making Tool for Calculating the Optimal Rates of N Application for 40 Annual Crops While Minimising the Residual Level of Mineral N at Harvest

Machet¹,

Dubrulle²,

Damay

et al. 2017

Agronomy

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Adequate nitrogen (N) fertilisation is an important component of sustainable management in agricultural systems because it reduces the environmental impacts of agriculture. However, taking into account the varied sources of soil N remains a challenge, and farmers require robust decision-making tools to manage increasingly diverse growing conditions. To address these issues, we present the AzoFert ® decision support system for farmers and extension services. This tool is capable of providing N recommendations at the field scale for 40 main field crops. It is based on a full inorganic N balance sheet and integrates the dynamic modelling of N supply from soil and various organic sources. Because of the choice of formalisms and parameters and the structure and modularity of the computer design, the tool is easily adaptable to new crops and cropping systems. We illustrate the application of Azofert ® through a range of N fertilisation experiments conducted on cereals, sugar beet and vegetables in France.

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Evaluation du pouvoir minéralisateur de sols agricoles en fonction de leurs caractéristiques physico-chimiques

Cited by 11 publications

References 1 publication

Evaluation of carbon and nitrogen mineralization rates in meadow soils from dairy farms under transit to biological cropping systems

Evaluation of carbon and nitrogen mineralization rates in meadow soils from dairy farms under transit to biological cropping systems

Calculation of nitrogen mineralization and leaching in fallow soil using a simple dynamic model

A Dynamic Decision-Making Tool for Calculating the Optimal Rates of N Application for 40 Annual Crops While Minimising the Residual Level of Mineral N at Harvest

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