• Aucun résultat trouvé

Usefulness of nitrogen application in heavy soils compared to more favourable land in Ireland – utilisation of the Moorepark Grass Growth model

N/A
N/A
Protected

Academic year: 2021

Partager "Usefulness of nitrogen application in heavy soils compared to more favourable land in Ireland – utilisation of the Moorepark Grass Growth model"

Copied!
4
0
0

Texte intégral

(1)

HAL Id: hal-01603795

https://hal.archives-ouvertes.fr/hal-01603795

Submitted on 2 Jun 2020

HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Distributed under a Creative Commons Attribution - ShareAlike| 4.0 International License

Usefulness of nitrogen application in heavy soils compared to more favourable land in Ireland – utilisation of the Moorepark Grass Growth model

Luc Delaby, D Hennessy

To cite this version:

Luc Delaby, D Hennessy. Usefulness of nitrogen application in heavy soils compared to more favourable

land in Ireland – utilisation of the Moorepark Grass Growth model. 19. Symposium of the European

Grassland Federation (EGF), May 2017, Alghero, Italy. �hal-01603795�

(2)

Grassland Science in Europe, Vol. 22 – Grassland resources for extensive farming systems in marginal lands

609

Usefulness of nitrogen application in heavy soils compared to more favourable land in Ireland – utilisation of the Moorepark Grass Growth model

Ruelle E.

1

, Delaby L.

2

and Hennessy D.

1

1

Animal & Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland;

2

INRA, AgroCampus Ouest, UMR 1348, Physiologie, Environnement et Génétique pour l’Animal et les Systèmes d’Elevage, 35590 Saint-Gilles, France

Abstract

Ireland’s temperate climate is favourable for grass growth, and efficiently grazed grass is the cheapest feed available on most dairy farms. In heavy soils, grass growth conditions and utilisation of grazed grass are less favourable than in free draining soils and will affect the dairy farm performance. The Moorepark Grass Growth model was used to compare the impact of weather, soil type and nitrogen (N) application on grass growth, number of grazing events and N leaching. Weather data (from the year 2015) and soil from two locations, Moorepark (free draining soil) and Athea (heavy soil), were used. Overall, the soil type and weather conditions for the heavy soil farm are limitations to grass growth.

Keywords: model, heavy soil, grass growth, nitrogen fertilisation

Introduction

Since the removal of the EU milk quotas, in Ireland new dairy enterprises are developing outside of the existing traditional milk production regions to more marginal soil types. In Ireland, the economic performance of dairy farms depends, to a large extent, on the efficient conversion of grazed grass to milk. Heavy soils can retain three to five times more water than well drained soils (Shalloo et al., 2004).

However, heavy soils have a low capacity to absorb rainfall due to poor soil structure and low porosity. In this study the Moorepark Grass Growth model (MGGm) (Ruelle and Delaby, 2016) was parameterised using weather and soil type data from a highly productive area (Moorepark (site M)) and from a heavy soil area (Athea (site A)) at different nitrogen (N) fertiliser application levels.

Materials and methods

The MGGm is a dynamic model developed in C++ describing the grass growth and the N fluxes of a paddock at a 2 m

2

level. The model is run with a daily time step simulating soil N mineralisation/

immobilisation and water fluxes, grass growth, N uptake and grass N content. The core model functions are described in Ruelle and Delaby (2016). The MGGm was used to compare the impact of the climate and soil type at two contrasting sites in Ireland: a free draining soil type – Moorepark (site M) (52.17N;

8.27W) and a heavy soil type – Athea (site A) (52.461N; 9.29W). Nitrogen fertiliser application was 0, 120, 240 or 360 kg N ha

-1

. The 2015 weather data and the soil types of each site are described in Table 1.

The initial soil mineral N content for the first day of the simulation was set at 80 kg N ha

-1

for both sites. A grazing event occurred as soon as the grass height reached 9 cm. The post-grazing sward height Table 1. Description of the soil types and weather conditions for the Moorepark (M) and Athea (A) sites.

Site Clay (%) Sand (%) Organic matter (%) Rain (mm) Average temperature (°C) Average solar radiation (J cm‑2)

Moorepark 26 22 7.0 1,209 9.9 947

Athea 47 13 2.3 1,653 9.1 975

(3)

610

Grassland Science in Europe, Vol. 22 – Grassland resources for extensive farming systems in marginal lands was set at 3.5 cm for the first grazing event of the year and 4 cm thereafter. Residency time for each grazing event was 2 days. The number of animals grazing was calculated by the model using the biomass disappearing each day of the grazing event and assuming an intake of 16 kg dry matter (DM) cow

-1

day

-1

. The simulation was run for 10 years with repetitive use of the 2015 weather data to provide model stability. To further understand the impact of weather and soil type the site M weather data were applied to the site M soil and the site A soil type, and the site A weather data were also applied to both soil types.

The result of the last year of the simulation are presented.

Results and discussion

Results are presented in Table 2 and Figure 1. Average grass growth across all N fertiliser application rates was of 11,120 kg DM ha

-1

for the site M soil with the site M weather; 9,730 kg DM ha

-1

for the site M soil with the site A weather; 8,151 kg DM ha

-1

for the site A soil with the site M weather and 7,340 kg DM ha

-1

for the site A soil with the site A weather. On average for the four N-fertiliser rates and the two sets of weather data, the site A soil type had less grass growth (-2,680 kg DM ha

-1

) than the site M soil type. Similarly, on average for the four N-fertiliser rates and the two soils the weather from site A resulted in less grass growth (-1,100 kg DM ha

-1

) compared to the site M weather.

The response to N fertiliser was variable. On the site M soil type, the response decreased as N fertiliser application increased (average response between 0 and 120 was 26 kg DM ha

-1

per kg N; average response between 240 and 360 was 13 kg DM ha

-1

per kg N). On the site A soil type the highest response to fertiliser was always the response between 120 and 240 kg N ha

-1

, average 20 kg DM ha

-1

per kg N, while average response between 0 and 120 kg N ha

-1

was 11 kg DM ha

-1

per kg N. This was due to the low soil mineral N content in site A over the years leading to a poor grass growth at the first level of fertilisation.

The N-fertiliser responses were comparable to results from previously published research (e.g. Hennessy et al., 2008).The site M weather permitted a greater number of grazing events (average of 0.75 events Table 2. Impact of soil type, weather and N fertiliser application on the number of grazing days, number of grazing events, grass growth, final soil N mineral content and annual N leaching.

Soil type

Weather source

N fertiliser application rate (kg N ha‑1)

Grazing days (days ha‑1)

Grazing events Grass growth (kg DM ha‑1)

N min end year (kg N ha‑1)

Leaching (kg N ha‑1)

M M 0 486 5 7,364 72 87

120 687 7 10,479 86 104

240 790 8 12,635 104 131

360 881 9 14,001 133 168

A 0 389 4 5,884 56 94

120 579 6 8,960 67 119

240 680 7 11,207 75 143

360 793 8 12,870 90 175

A M 0 296 3 4,440 24 33

120 393 4 6,367 43 63

240 585 6 9,694 56 84

360 787 8 12,101 76 109

A 0 298 3 4,764 17 32

120 390 4 5,443 33 70

240 492 5 8,402 41 96

360 681 7 10,749 54 124

DM = dry matter; M = free draining soil type (Moorepark); A = heavy soil type (Althea).

(4)

Grassland Science in Europe, Vol. 22 – Grassland resources for extensive farming systems in marginal lands

611

more) and grazing days (average of +75 days). N leaching was greater on the site M soil type (+51 kg N on average) and with the site A weather (+9.25 kg N on average).

Conclusions

The heavy soil site was less favourable for grass growth and grazing due to its high clay content and low soil organic matter. Even if less important, the weather in that area was also a limitation to the grass growth. N leaching was lower on the heavy soil area, leading to a good response to fertiliser with less environmental impact.

Acknowledgements

The authors acknowledge Patrick Tuohy and James O’Loughlin for their help in collecting the site A data.

This work was funded by Research Stimulus Fund 2011 administered by the Department of Agriculture, Fisheries and Food (Project 11/S/132).

References

Hennessy D., O’Donovan M., French P. and Laidlaw A.S. (2008) Manipulation of herbage production by altering the pattern of applying nitrogen fertilizer. Grass and Forage Science 63, 152-166.

Ruelle E. and Delaby L. (2016) The Moorepark Grass Growth Model – application in grazing systems. Grassland Science in Europe 21, 409-411.

Shalloo L., Dillon P., O’Loughlin J., Rath M. and Wallace M. (2004) Comparison of a pasture-based system of milk production on a high rainfall, heavy-clay soil with that on a lower rainfall, free-draining soil. Grass and Forage Science 59, 157-168.

Figure 1. Average grass growth (kg dry matter ha

-1

) using the Moorepark (black) and the Athea (grey) weather on either the Moorepark (plain

line) or the Athea (dotted line) soil type.

Références

Documents relatifs

The J&T model over-predicted grass growth in all 5 years examined and predicted a high primary grass growth peak, while the J and B models predicted grass growth closer to

This paper presents the prediction of the Moorepark Grass Growth model (MGGm) in terms of grass growth and nitrogen content of the grass in a grazing context with different

This study involved the creation of a dynamic and mechanistic grass growth model (the Moorepark Grass Growth Model; hereafter referred to as MGGM) by adapting an existing grass

The adapted version of the Jouven Model can be used for grass growth simulation; however, further changes to the model could be made around the functions of the

Evapotranspiration, soil temperature at 100 mm and maximum air temperature were the factors with the greatest influence on grass growth at Moorepark in the January to April

The lower nitrogen competition during the second cycle could be explained by 1 a lower nitrogen demand resulting of lower biomass production of both cover crops because of the

Available forage biomass (per unit area) can be predicted using grass growth models based on soil, plant.. and

Comparison between yield estimations computed using statistical remote sensing analysis, and yields determined by combining remotely sensed data with the SAFY model. The difference