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You searched for: Subject term simulation models Remove constraint Subject term: simulation models Subject term corn silage Remove constraint Subject term: corn silage Text availability Citation in PubAg Remove constraint Text availability: Citation in PubAg
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1. Discrete Element-Based Optimization Parameters of an Experimental Corn Silage Crushing and Throwing Device

Author:
Shenghe Bai; Qizhi Yang; Kang Niu; Bo Zhao; Liming Zhou; Yanwei Yuan
Source:
Transactions of the ASABE v.64 no.3 pp. 1019-1026
ISSN:
2151-0032
Subject:
computer software; corn silage; energy; energy use and consumption; simulation models; straw; system optimization
Abstract:
... HighlightsA discrete element simulation model was used to improve the performance of a corn silage crushing and throwing device.Feed rate, crushing speed, and dial speed were used as the test factors, and the average cutting force and average energy loss were used as the evaluation indexes in orthogonal testing.The order of significance of the factors was crushing speed > feed rate > dial sp ...
DOI:
10.13031/trans.14463

2. In situ measurements and simulation of oxygen diffusion and heat transfer in maize silage relative to the silo surface

Author:
Y. Sun; M. Li; H. Zhou; G. Shan; Q. Cheng; K.H. Jungbluth; W. Buescher; C. Maack; A. Lipski; Z. Wang; Y. Fan
Source:
Computers and electronics in agriculture 2017 v.137 pp. 1-8
ISSN:
0168-1699
Subject:
barrels; bunker silos; carbon dioxide; corn silage; electrodes; equations; heat transfer; microbial activity; oxygen; simulation models; temperature; uncertainty
Abstract:
... Aerobic deterioration is a major concern for silage production and quality change in unloading phase. To simulate silage aerobic deterioration relative to an exposure surface of bunker silo, a partial differential equation system model including oxygen (O2) concentration, silage temperature (Tsi) rise and microbial activity was presented. There is still a need to assess the predictability of the d ...
DOI:
10.1016/j.compag.2017.03.011

3. ADM1-based modeling of anaerobic codigestion of maize silage and cattle manure – calibration of parameters and model verification (part II) / Modelowanie kofermentacji kiszonki kukurydzy i obornika bydlęcego za pomocą ADM1 – kalibracja i weryfikacja modelu (część II)

Author:
Katarzyna Bułkowska; Ireneusz Białobrzewski; Zygmunt Mariusz Gusiatin; Ewa Klimiuk; Tomasz Pokój
Source:
Archives of environmental protection 2015 v.41 no.3 pp. 20-27
ISSN:
2083-4810
Subject:
anaerobic digestion; biogas; cattle manure; corn silage; simulation models
Abstract:
... The aim of this study was to implement ADM1xp model to simulate behavior of anaerobic co-digestion of maize silage and cattle manure. The accuracy of ADM1xp has been assessed against experimental data of anaerobic digestion, performed at OLR = 2.1 gVS dm⁻³·d⁻¹ and HRT = 45d. Due to the high number of parameters in ADM1xp, it was necessary to develop a customized procedure limiting the range of par ...
DOI:
10.1515/aep-2015-0027

4. Measures of Nitrogen Use Efficiency and Nitrogen Loss from Dairy Production Systems

Author:
J. M. Powell; C. A. Rotz
Source:
Journal of environmental quality 2015 v.44 no.2 pp. 336-344
ISSN:
0047-2425
Subject:
ammonia; corn silage; cows; crop yield; cropping systems; crude protein; dairy farming; emissions; environmental impact; excretion; farms; field experimentation; milk production; nitrates; nitrogen; nitrogen fertilizers; nitrous oxide; nutrient use efficiency; nutrition; production technology; simulation models; stocking rate
Abstract:
... In dairy production systems, tradeoffs can occur between fertilizer N applications and crop N use, feed N consumption and manure N excretion, and environmental impacts. This paper examines (i) how stocking rates affect N imports and management on dairy farms, N use efficiency (NUE; i.e., the amount of applied N incorporated into product N), and N loss; (ii) how reductions in fertilizer N and feed ...
Handle:
10113/62909
DOI:
10.2134/jeq2014.07.0299

5. Exposure assessment of mycotoxins in cow’s milk in Argentina

Author:
M.L. Signorini; M. Gaggiotti; A. Molineri; C.A. Chiericatti; M.L. Zapata de Basílico; J.C. Basílico; M. Pisani
Source:
Food and chemical toxicology 2012 v.50 no.2 pp. 250-257
ISSN:
0278-6915
Subject:
European Union; aflatoxin B1; aflatoxin M1; corn silage; crop management; deoxynivalenol; equations; exposure assessment; milk; probability distribution; risk; simulation models; stochastic processes; toxicology; zearalenone; Argentina
Abstract:
... A stochastic simulation model was developed to carry out the first quantitative risk exposure assessment of the mycotoxin level in cow’s milk produced in Argentina. The prevalence and concentration of aflatoxin M1 (AFM1), deoxynivalenol (DON) and zearalenone (ZEA) were modeled at various stages through milk processes complying with Argentinean practices. Concentration of AFM1 (0.059ppb), DON (0.33 ...
DOI:
10.1016/j.fct.2011.09.036

6. Long-term simulation of effects of energy crop cultivation on nitrogen leaching and surface water quality in Saxony/Germany

Author:
Michael Gebel; Stefan Halbfass; Stephan Bürger; Carsten Lorz
Source:
Regional environmental change 2013 v.13 no.2 pp. 249-261
ISSN:
1436-3798
Subject:
agricultural land; corn; corn silage; crop year; energy crops; farming systems; grasslands; groundwater; leachates; leaching; loess; long term effects; lowlands; nitrates; nitrogen; nitrogen content; rhizosphere; simulation models; surface quality; surface water; water pollution; webs; Germany
Abstract:
... The production of energy crops in Germany is a growing agronomic sector and is expected to occupy a substantial share of farmland in the near future. At the same time, there are concerns that energy crops might cause increased nitrogen pollution of soil water, surface water and groundwater. Therefore, the Federal State of Saxony, Germany, funded a study on potential effects of an intensified culti ...
DOI:
10.1007/s10113-012-0330-5

7. Nitrogen leaching losses after biogas residue application to maize

Author:
Nikolai Svoboda; Friedhelm Taube; Babette Wienforth; Christof Kluß; Henning Kage; Antje Herrmann
Source:
Soil & tillage research 2013 v.130 pp. 69-80
ISSN:
0167-1987
Subject:
ammonium nitrogen; anaerobic digestion; animal manures; biogas; biomass; canopy; cattle; corn; corn silage; electricity; equations; field experimentation; heat; leachates; leaching; methane production; mineral fertilizers; nitrate nitrogen; nitrates; nitrogen; pH; risk; simulation models; slurries; soil water balance; split application; swine; Germany
Abstract:
... The production of methane from anaerobic digestion of slurry and biomass for generating electricity/heat has expanded significantly in Germany following the introduction of high subsidy payments. This results in large amounts of biogas residues, which should be used in a sustainable manner to replace fossil fuel-based fertilizer. Data on the nitrogen leaching risk after biogas residue application, ...
DOI:
10.1016/j.still.2013.02.006

8. Prediction of the energy balance and milk production of grazing cows in the Azores for autumn and spring calving

Author:
L.F. Souto; J.F. Meneses; J.M. Bruce
Source:
Biosystems engineering 2011 v.110 no.1 pp. 57-65
ISSN:
1537-5110
Subject:
autumn; barley; body weight; calving; case studies; climate; cooperatives; corn silage; cows; energy balance; energy requirements; grass silage; grasses; grazing; heat production; lactation; milk prices; milk production; pastures; prediction; production costs; seasonal variation; simulation models; spring; Azores
Abstract:
... The climatic energy demand (CED) of cattle was modelled for Azores climate conditions. A deterministic model of the bioenergetic system of lactating and pregnant cows (TERCOW) was used to predict the energy balance and milk production of grazing cows for 3 classes of maternal live weight (400, 550 and 620 kg), respectively with 4000 kg, 5300 kg and 7000 kg milk production, for two calving peri ...
DOI:
10.1016/j.biosystemseng.2011.07.001

9. Predicting silage maize yield and quality in Sweden as influenced by climate change and variability

Author:
Henrik Eckersten; Antje Herrmann; Alois Kornher; Magnus Halling; Erik Sindhøj; Elisabet Lewan
Source:
Acta agriculturæ Scandinavica 2012 v.62 no.2 pp. 151-165
ISSN:
1651-1913
Subject:
climate change; climatic factors; corn; corn silage; crop yield; cultivars; field experimentation; forage quality; growing season; harvest date; prediction; simulation models; starch; water stress; Scandinavia; Sweden
Abstract:
... In recent decades European silage maize production has extended northwards, into Scandinavia, and the importance of maize in fodder production has increased substantially. For the northward expansion of maize production it is of interest to evaluate both the role of climate change that has occurred already, and scenarios for possible future climate change. The aim of this study was to assess for S ...
DOI:
10.1080/09064710.2011.585176

10. Stochastic simulation of the cost of home-produced feeds for ruminant livestock systems

Author:
E. FINNERAN; P. CROSSON; P. O'KIELY; L. SHALLOO; D. FORRISTAL; M. WALLACE
Source:
Journal of agricultural science 2012 v.150 no.1 pp. 123-139
ISSN:
1469-5146
Subject:
Lolium perenne; corn silage; crop yield; crops; energy; farms; feed prices; grass silage; input prices; livestock; livestock feeds; markets; risk; ruminants; simulation models; spring barley; variable costs; Ireland
Abstract:
... An agro-economic simulation model was developed to facilitate comparison of the impact of management, market and biological factors on the cost of providing ruminant livestock with feed grown on the farm (home produced feed). Unpredictable year-to-year variation in crop yields and input prices were identified as quantifiable measures of risk affecting feed cost. Stochastic analysis was used to stu ...
DOI:
10.1017/S002185961100061X

11. Genotypic and environmental variation in water soluble carbohydrate content of silage maize

Author:
Kruse, Sandra; Herrmann, Antje; Kornher, Alois; Taube, Friedhelm
Source:
Field crops research 2008 v.106 no.3 pp. 191-202
ISSN:
0378-4290
Subject:
model validation; seasonal variation; field experimentation; calibration; genotype; maturity groups; Zea mays; simulation models; solar radiation; carbohydrate content; air temperature; silage making; crop quality; forage crops; plant available water; nutritive value; corn silage; environmental factors; genetic variation; Germany
Abstract:
... The concentration of water soluble carbohydrates (WSC) is a main determinant of the ensiling potential of forages and the aerobic stability of silages. The aims of the present study were to assess the impact of genotype on the seasonal changes of WSC concentration, to adapt and calibrate the FONSCH (FOrage NonStructural CarboHydrates) model - originally developed for forage grasses - for silage ma ...
DOI:
10.1016/j.fcr.2007.11.009

12. Influence of the physical parameters of fields and of crop yield on the effective field capacity of a self-propelled forage harvester

Author:
Amiama, C.; Bueno, J.; Alvarez, C.J.
Source:
Biosystems engineering 2008 v.100 no.2 pp. 198-205
ISSN:
1537-5110
Subject:
simulation models; forage harvesters; forage crops; fields; regression analysis; telemetry; corn silage; crop yield; equipment design; equipment performance; soil morphology; Spain
Abstract:
... Data for the effective field capacity of two self-propelled forage harvesters were collected from 163 fields located in Galicia, Northwest Spain, during the silage maize-harvesting season by using a telemetry system. The values obtained from the study were related to crop yield, field area, field longitudinal slope and cross slope, and to attributes of field shape: number of total vertices, number ...
DOI:
10.1016/j.biosystemseng.2008.03.004

13. Modelling CAP Decoupling in the EU: A Comparison of Selected Simulation Models and Results

Author:
Balkhausen, Oliver; Banse, Martin; Grethe, Harald
Source:
Journal of agricultural economics 2008 v.59 no.1 pp. 57-71
ISSN:
0021-857X
Subject:
Common Agricultural Policy; beef; corn silage; farms; forage; grains; issues and policy; oilseeds; pastures; sheep; simulation models
Abstract:
... This article reviews ways of representing the effects of decoupling in the European Union (EU) on land allocation and production in eight selected simulation models (AGLINK, AG-MEMOD, CAPRI, CAPSIM, ESIM, FAPRI, GOAL and GTAP). It then compares the simulated effects of decoupling and traces them back to the model specifications and parameter assumptions. In particular, roughage is not included in ...
DOI:
10.1111/j.1477-9552.2007.00135.x

14. Evaluation of modeling procedure for fitting in situ feed degradation profiles

Author:
Zanton, G.I.; Heinrichs, A.J.
Source:
Journal of animal science 2009 v.87 no.6 pp. 2080-2088
ISSN:
0021-8812
Subject:
in vitro digestion; in vitro digestibility; simulation models; feed quality; precision; kinetics; neutral detergent fiber; nonlinear models; validity; variance; corn silage; rumen fermentation; forage evaluation; degradation; accuracy
Abstract:
... In situ degradation of feeds is a common methodology used for describing the digestion rate and potential for many chemical components of ruminant feedstuffs. The inferences involving the parameters of these procedures may be of questionable accuracy and precision because nonlinear regression techniques that are employed to fit these models do not produce unbiased, normally distributed, and minimu ...
DOI:
10.2527/jas.2008-1180
PubMed:
19181767

15. SPN: A model for the study of soil-plant nitrogen fluxes in silage maize cultivation

Author:
Bleken, Marina Azzaroli; Herrmann, Antje; Haugen, Lars Egil; Taube, Friedhelm; Bakken, Lars
Source:
European journal of agronomy 2009 v.30 no.4 pp. 283-295
ISSN:
1161-0301
Subject:
leaf area index; model validation; seasonal variation; groundwater; animal manures; soil solution; nitrate nitrogen; dry matter accumulation; soil fertility; mineralization; Zea mays; simulation models; plant nutrition; soil water content; radiation use efficiency; crop management; accuracy; organic fertilizers; grain crops; nitrogen; corn silage; water table; Germany
Abstract:
... The aim of this study was to adapt the Soil-Plant-Nitrogen (SPN) model to silage maize, as an explorative tool for evaluating the possibility of expanding maize cultivation to regions which historically have been too cold for maize production, and for estimating the effects of management practices as fertiliser and manure application on C and N fluxes. The model was validated using data from a 5-y ...
DOI:
10.1016/j.eja.2009.01.001

16. On-farm measurement of the water use and productivity of maize

Author:
Greenwood, K.L.; Mundy, G.N.; Kelly, K.B.
Source:
Animal production science 2008 v.48 no.3 pp. 274-284
ISSN:
0816-1089
Subject:
Zea mays; irrigation water; on-farm research; evapotranspiration; soil water content; simulation models; relative humidity; water use efficiency; profitability; corn; corn silage; rain; grain yield; center pivot irrigation; wind speed; irrigation rates; irrigated farming; Victoria (Australia)
Abstract:
... Maize, as a C₄ species, is likely to use water more productively than the perennial ryegrass and white clover pastures typically grown for dairy cows in northern Victoria. However, only estimates of water use by irrigated maize crops are available for this region. We measured the growth and water use of three commercial maize crops used for silage in northern Victoria. Crops under centre pivot irr ...
DOI:
10.1071/EA06094

17. Impact of global warming on the growing cycles of three forage systems in upland areas of southeastern France

Author:
Juin, S.; Brisson, N.; Clastre, P.; Grand, P.
Source:
Agronomy for sustainable development 2004 v.24 no.6-7 pp. 327-337
ISSN:
0249-5627
Subject:
global warming; simulation models; crop models; grasslands; climatic factors; climate models; air temperature; digital elevation models; time series analysis; corn silage; varieties; alfalfa; forage crops; cropping systems; spatial distribution; growing season; crop yield; crop damage; sowing date; harvest date; altitude; France
DOI:
10.1051/agro:2004028

18. A simulation model of a dairy forage system to evaluate feeding management strategies with spring rotational grazing

Author:
Coleno, F.C.; Duru, M.; Soler, L.G.
Source:
Grass and forage science 2002 v.57 no.4 pp. 312-321
ISSN:
0142-5242
Subject:
forage production; dairy cows; cattle feeding; foraging; rotational grazing; grazing management; spring; simulation models; decision support systems; corn silage; grass silage; climatic factors; weather; seasonal variation; France
DOI:
10.1046/j.1365-2494.2002.00331.x