barzgar soltani 1389 modelsazi

The First International Conference on Plant, Water, Soil & Weather Modeling International Center for Science, High Technology & Environmental Sciences Shahid Bahonar University of Kerman

,

Nov. , Kerman, Iran

[email protected]

[email protected]

.


,

Nov. , Kerman, Iran


,

Nov. , Kerman, Iran

CERES

SHOOTGRO

AFRCWHEATSIRIUS

DEMETER

- Objective - Formulation - Parameterization - Evaluation


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Nov. , Kerman, Iran

.

TBD

-

TMP

=

DTT

0 < DTT 0 = DTT ( )

TBD) - (TOD > DTT TBD) - (TOD = DTT

DTTTMPTBDTOD

.

0

0.2

0.4

0.6

0.8

1

1.2

0 5 10 15 20 25 30 35 40

TBDTOD

- Thermal time


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Nov. , Kerman, Iran

(NGS)

TTHAR / TT = NGS ( )

NGSNGS >

TBD

TOD

TTEMR

TTTLG

TTBSG

TTTSG

TTHAR

(WSCFG)

- Normalized Growth Stage - Water Stress Correction Factor for Growth


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Nov. , Kerman, Iran

EPIC

(LAI)

LAIMX

(BSG)

(BLS)

BLS

TTHAR

TTBSG = BLS ( )

BLS < NGS LAIMX * NGS)) * BL - (AL EXP + (NGS / NGS = LAI

BLS = > NGS BLS)) - (1 / NGS) - ((1 * BSGLAI = LAI

BSGLAIALBL

LLLAI / LAIMXNGS

LL

LAIMX

LAIMXi*PDEN))*BPPL - EXP(APPL+PDEN/(PDEN=LAIMX

PDENLAIMXi

APPLBPPL

(P ,P )

- Beginning of Seed Growth - Beginning of Leaf Senescence


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Nov. , Kerman, Iran

BLS

P

P

L

L

LAIMX

(FINT)

LAI) * KPAR (- EXP - 1 = FINT

KPAR

KPAR

LAI

(RUE)

- Fraction Intercept


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Nov. , Kerman, Iran

TCFRUE * DVRUE * IRUE = RUE

RUE

RUE

RUETCFRUE

0

0.2

0.4

0.6

0.8

1

1.2

0 5 10 15 20 25 30 35 40

RUE)

(

RUE

DVRUE

DVRUE

IRUE

IRUE

- Radiation Use Efficiency - Temperature Coefficient for Radiation Use Efficiency - Development Radiation Use Efficiency


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Nov. , Kerman, Iran

(DBP)

WSCFG* RUE * FINT * 0.5 * SRAD = DBP

SRAD

KPAR

DVRUE

TBRUE

TO RUE

TO RUE

TCRUE

IRUE

(WTOP)

1/HI) - (1 / WGRN)- WVEG - HI / (WGRN = SGR

SGRWGRNWVEG

HI

- Daily Biomass Production - Solar Radiation - Top Weight - Seed Growth Rate - Grain Weight


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Nov. , Kerman, Iran

HIi

+

DHI

=

HI

DHI

HIi

(TRLDM)

FRTRL * BSGDM = TRLDM

BSGDMFRTRL

(TRANSL)

TRLDM

* TTBSG) -(TTTSG / DTT = TRANSL

TR - SEVP - DRIAN -IRGW + ERAIN + 1-SWCi = SWCi

SWCiERAIN

IRGWDRIANSEVP

TR

- Vegetative weight - Translocated Dry Matter - Beginning Seed Growth Dry Matter - Translocation Fraction - Soil Water Content - Effective Rain - Irrigation Water - Deep Drainage - Soil Evaporation - Transpiration


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Nov. , Kerman, Iran

WSSL

WSSG

STRSDEP

KET

CALB

RMATLAI

SEVPMV

WETH


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Nov. , Kerman, Iran

(RMSE)

R


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Nov. , Kerman, Iran

C

C

SBEET

.

-

Ackok, B., Charles-Edwards, D. A., Fitter, D. J., Hand, D. W., Ludwig, L.S., Wilson, J.W., Withes, A.C, . The contribution of leaves from diffrents levels within the tomato crop to canopy net photosynthesis: An experimental examination of two canopy models. J. Exp. Bot. ,

-


,

Nov. , Kerman, Iran

Boot, K.J., Jones, J.W. and N.B.Pickering, . Potential Uses and Limitations of crop models, Agron.J. : -

Boote, K. J., Kropff and P.S. Bindraban. . Physiology and modeling of traits in crop plants: implieations for genetic improvement. Agric. Systems ,

FAO, . Food and Agricultural Organization of the United Nation (FAO), http://apps.fao.org Flenet, F., Kiniry, J.R., Board, j. E., Westgate M.E., Reicosky, D. C., . Row Spacing Effects on light Extinction Coefficient of Corn. Sorghum, Soybean, and Sunflower. Agron. J. , -

. Gadner, f. p., pearce, R. B., Mitchell, R l., . Physiology of crop plants. Lowa State Univ.

press Ames. p: -

Hammer, G.L., Sinclair, T.R., Boote, K.J., Wright, G.C., Meinke, H., Bell, M.J., . Apeanut simulation model: I. Model development and testing. Agron. J. , - .

Harnosh, H., . Applicability of the AFRCWHEAT

wheat growth simulation model in Hungary. Applied Ecology and Environmental Research ( ): - .

Hofstra, g., Hesketh, J. D., Myhre, D. L., . A plastochron model for soydean leaf and stem growth. Can jour. Plant. Sci . , -

Kropff, M.J. and H.H. Van laar, (Eds.). . Moddeling Crop-weed Interaction. CAB International, Wallingford, UK.

Lecoeur, L., Ney, B., , Change with time in potential radiation use efficiency in field pea. Europ. J. Agron. , -

O Connell, M. G., O Leary, G. J., Connor, D. J., . Interception of photosntically active radiation and rasdiation use efficiency of wheat, field pea and mustard in a semi

arid environment . Field Crops Res. -

Ranganathan, R., Chamhan, Y. S., Flower, D. J., Robertson, C., Silim, S. N., . Predicting growth and development of pigeonpea: Leaf area development. Field Crops Res. , -

. Ritchie, J.T. .A user-oriented model of the soil water balance of wheat .p. - . In W. Day

and R.K. Atkins (ed.) wheat growth and modeling. Plenum, New York Rizzalli, R. H., Villalobos, F.G., Orgaz, F., .Radiation interception, radiation use efficiency and dry matter partitioning in garlic .Europ J.Agron. , - .

Robertson, M.J., S.Silim. Y.S.Chauhan., and R, Ranganthan., .Predicting growth and development of pigenpea: biomass accumulation and partitioning .Field Crops Res. ,- - .

Sinclair, T.R., . Water and nitrogen limitations in soybean grain production: I. Modeldevelopment. Field Crops Res. , -

Sinclair, T.R. . Limits to crop yield p. - . In K, J. Boote et al. (Eds.) Physiology and determination of crop yield. ASA, CSSA and SSSA, Madison, USA

Sinclair, T.R., Muchow, R.C., . Radiation Use Efficiency, A review. Advances in Agronomy. - .

Soltani, a., B. Torabi, and H.Zarei, , Modeling crop yield using a modified harvest index-based approach: application in chickpea. Field Crop Res. - .

Soltani, a., Robertson, M.J., A. Rahemi-Karizaki, J.Poorraza, and H.Zarei. . Modeling biomass accumulation and partitioning in cheackpea. Field Crops Res. ,- - .

Wahabi, A., Sinclair, T.R., . Simulation analysis of relative yield advantage of barley and wheat in an eastern Mediterranean climate. Field Crops Res. , .

White, J.W. . Modeling temprature response in wheat and maize. Proceeding of workshop, CIMMYT, El Bat?n, Mexico, -

April. Williams, J.R., C.A. Jones, J.R. Kiniry, and D.A.Spanel. . The EPIC crop growth model.

Trans. ASAE - . Ziaei, A.N and A.R. Sepaskhah, . Model for simulation of winter wheat Yield under dryland

and irrigated Conditions, Agricultural water management

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Nov. , Kerman, Iran

Simulating Wheat growth and yield in Mashhad climate

A.B.Bazrgar , A.Soltani

. Scientific member, Agricultural Dep., Islamic Azad University, Kashmar Branch, Kashmar, Iran;

[email protected]

.Profesor of Agronomy Dep., Agricultural Sciences Faculty, Gorgan University of Agricultural Sciences & Natural Resources, Gorgan, Iran;

[email protected]

Abstract:

Wheat is considered Iran's most strategically important crop and is cultivated on a large scale in arid and semiarid environments of this country, where yield is limited by climatic factors. Crop simulation models could use as tools to examine complex interactions of environment, management and cultivar and their effects on yield variability in wheat production systems. Nowadays more than

wheat models have been published internationally. Many of these are complex models require detailed weather data, soil characteristics and agronomic descriptions (variety, sowing date, mineral fertilization, irrigation, etc.), which are often not available. Over the past decade, the increased availability of regional yield data and improvements in modelling technology has made it possible to advance regional-scale crop modelling. The aim of the present work was to develop a simple model for simulating Wheat growth and yield in Mashhad condition. To do this, we started with a simple modeling framework and try to simplified processes, functional relations and parameters require for model. The model simulates crop phenology, development of leaves as a function of temperature, accumulation of crop biomass as a function of intercepted radiation, dry matter accumulation of grains as a function of time and temperature, and soil water balance. The model uses a daily time step and readily available weather and soil information. The model was tested using independent data from Mashhad's environmental conditions. The agreement between simulated and observed grain yields showed the robustness of the model in predicting wheat growth and yield for the conditions under studied. It was concluded that, the model can be used in simulation studies of potential yield and production limitations in Mashhad conditions.

Keywords: Wheat, Simulation, Model, Grain yield.

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barzgar soltani 1389 modelsazi