TSubDevelopmentMaize

Author

K. Holzhauser / Agronomy and Crop Science Group, Kiel University

Published

March 28, 2026

1 Introduction

Maize development is regulated by the effective temperature ($T_{eff}$), which is calculated as the positive difference between the daily mean temperature and a defined base temperature ((par-T1?)) of 6 °C, following Pagès and Pellerin (1994) and Bonhomme et al. (1994).

The development process is divided into five stages, hereafter referred to as XStages, following the HYBRID-Maize framework and the approach of Yang et al. (2016). These XStages represent the key phenological stages of maize development: emergence, tassel initiation, silking, effective grain filling, and maturity (Figure Figure 1).

Development rates between the individual stages are calculated as the ratio between effective temperature ($T_{eff}$) and the corresponding temperature sums (growing degree days, GDD). Specifically, development rates are defined for the phases between sowing and emergence (Eq. 1), emergence and tassel initiation (Eq. 2), tassel initiation and silking (Eq. 3), and silking and grain filling (Eq. 4). The corresponding temperature sums are defined by the parameters (par-GDDemer?), (par-GDDtasini?), (par-GDDS2?), and (par-GDDS3?) (Table ?@tbl-parameters).

Compared to the approach of Yang et al. (2016), an additional temperature sum from emergence to silking ((par-GDDsilk?)) is introduced. This parameter is used to calculate the development rate from grain filling until maturity (Eq. 5). The development rate is derived from the remaining temperature requirement between the total temperature sum to maturity ((par-GDDtotal?)) and the temperature sums of the preceding stages.

All temperature sums are defined as cultivar-specific parameters according to the assumptions of Bignon (1990) for a mid-early maize cultivar grown on soils with medium warming dynamics. The crop is assumed to be harvested at the dough stage, corresponding to the typical harvest time of whole-crop silage maize with a dry matter content of approximately 35 %.

Leaf appearance is simulated following the approaches implemented in HYBRID-Maize and CERES-Maize (Jones and Kiniry (1986); Yang et al. (2016)). The rate of leaf appearance is calculated as the ratio between effective temperature ($T_{eff}$) and the phyllochron parameter ((par-phy?); Eq. 7).

During the early growth period, when the plant has fewer than five leaves (< BBCH15), leaf appearance is assumed to occur at a higher rate. To account for this effect, a reduction factor ($f_{phy}$) is applied to the phyllochron (?@eq-fphy).

In the field trials used for model evaluation, phenological stages were recorded according to the BBCH scale of Lancashire et al. (1991). These observations were subsequently converted into the corresponding XStages for comparison with the model simulations (Figure Figure 1).

DevRate_{S0} = \frac{T_{eff}}{{GDD}_{emer}} \tag{1}

DevRateS0: Development rate between sowing and emergence, Teff: effective temperature, GDDemer: corresponding growing degree days

\mathrm{DevRateS1=}\frac{\mathrm{T}_{\mathrm{eff}}}{{\mathrm{GDD}}_{\mathrm{tasini}}} \tag{2}

DevRateS1: Development rate between emergence and tassel initiation, Teff: effective temperature, GDDtasini: growing degree days from emergence till tassel initiation

\mathrm{DevRateS2=\ }\frac{\mathrm{T}_{\mathrm{eff}}}{{\mathrm{GDD}}_{\mathrm{S2}}} \tag{3}

DevRateS2: Development rate between tassel initiation and silking, Teff: effective temperature, GDDS2: growing degree days from tassel initiation till silking

\mathrm{DevRateS3=}\frac{\mathrm{T}_{\mathrm{eff}}}{{\mathrm{GDD}}_{\mathrm{S3}}} \tag{4}

DevRateS4: Development rate between grain filling and maturity, Teff: effective temperature, GDDtotal: growing degree days from sowing till maturity, GDDemer: growing degree days from sowing till emergence, GDDsilk: growing degree days from emergence till silking, GDDS3: growing degree days from silking till grain filling

\mathrm{DevRateS4=}\frac{\mathrm{T}_{\mathrm{eff}}}{{\mathrm{GDD}}_{\mathrm{total}}\mathrm{-} {\mathrm{GDD}}_{\mathrm{emer}}\mathrm{-} {\mathrm{GDD}}_{\mathrm{silk}}\mathrm{-} {\mathrm{GDD}}_{\mathrm{S3}}} \tag{5}

LeafNo: number of leaves, Teff: effective temperature, phy: phyllochron, fphy: reduction factor for early growth phase.

\frac{{\mathrm{dLeaf}}_{\mathrm{No}}}{\mathrm{dt}}\mathrm{\mathrm{=}}\frac{\mathrm{Teff}}{\mathrm{phy\ *\ }\mathrm{f}_{\mathrm{phy}}} \tag{6}

fphy: reduction factor for early growth phase, LeafNo: number of leaves, constants (0.66, and 0.068) are parameters according to Yang et al. (2016), Jones and Kiniry (1986).

\mathrm{f}_{\mathrm{phy}}\mathrm{\mathrm{=}}0.66+0.068 * LeafNo \quad |\quad LeafNo < 5 \\1 \quad |\quad LeafNo ≥ 5 \tag{7}

Figure 1: The XStages 1-5 represent the development stages emergence, tassel initiation, silking, effective grain filling and maturity. XStages can be converted to respected values of BBCH scale (Lancashire et al. (1991))

1.1 Descendence

The class TPenMonteith is derived from TPlantRelatedSubMod, which is derived from TSubmodel which is derived from TObject or TGraphicControl.

TPenMonteith |____TPlantRelatedSubMod |____TSubmodel

1.2 State variables

The class TSubDevelopent has 10 following state variable(s).

kable(df.state)
State variable Units InitialValue Description
CumPH [n] 1 number of fully expanded leaves
CumPH_Booting [n] 0 number of nodes
DS [-] 0 Development stage for calculating root drymatter (See Hybrid-Maize)
GDD6 [°C*d] 0 Growing degree days from sowing
GDD6_from_emergence [°C*d] 0 growing degree days from emergence
GDD8 [°C*d] 0 Just for Information, not for calculation.
TLNO [n] 6 TLNO is the total number of leaves that will eventually appear
TSum_leafLagphase 0
XSTAGE [-] 0 Phenological stage, non integer values
XSTAGE_till_tassel_emergence [-] 0

TRUE

1.3 Parameters

Parameter Units Value Description
GDD6Emergence [°C*d] 68.34 Temperature sum sowing to emergence
GDD6Silking [°C*d] 822.60 Temperature sum silking
GDD6Stage2 [°C*d] 510.00 Temperature sum tassel initiation till silking
GDD6Stage3 [°C*d] 202.60 Temperature sum stage 3
GDD6tasini [°C*d] 320.00 Temperature sum from emergence till tassel initiation
GDD6total [°C*d] 1534.97 Temperature sum
Phyllochron [°C*d] 54.05 Phyllochron
Plastochron [°C*d] 29.18 Plastochron
sen_par [-] 0.15 en_fact wird als potenz Funktion angenommen, sen_par ist der Krümmungsfaktor dieser
sen_parexp [-] 2.00 en_fact wird als potenz Funktion angenommen, sen_parexp ist der Exponent dieser
SowingDate [-] 39191.00 Date of sowing (days from 1.1.1990)
Tbase6 [°C] 6.00 Base temperature

TRUE

Parameter Value Unit Description Source
T_{1} 6 °C Base temperature for calculating T_{eff} Pagès and Pellerin (1994); Bonhomme et al. (1994)
GDD_{emer} 100 °C d Temperature sum from sowing until emergence Bignon (1990)
GDD_{tasini} 320 °C d Temperature sum from emergence until tassel initiation Bignon (1990)
GDD_{S2} 510 °C d Temperature sum from tassel initiation until silking Bignon (1990)
GDD_{S3} 200 °C d Temperature sum from silking until grain filling Bignon (1990)
GDD_{silk} 830 °C d Temperature sum from emergence until silking Bignon (1990)
GDD_{total} 1890 °C d Temperature sum from sowing until maturity Bignon (1990)
phy 50.8 °C d leaf⁻¹ Phyllochron Jones and Kiniry (1986); Yang et al. (2016)

1.4 Variables

Variable Units Value Description

TRUE

References

Bignon, J., 1990. Agrométéorologie et physiologie du maïs grain dans la communauté européenne. CEC.
Bonhomme, R., Derieux, M., Edmeades, G.O., 1994. Flowering of diverse maize cultivars in relation to temperature and photoperiod in multilocation field trials. Crop Science 34, 156–164. https://doi.org/10.2135/cropsci1994.0011183X003400010028x
Jones, C.A., Kiniry, J.R., 1986. CERES-maize. A simulation model of maize growth and development. Texas A. and M. University Press, Collage station.
Lancashire, P., Bleiholder, H., van den Boom, T., Langelüddeke, P., Strauss, R., Weber, E., Witzenberger, A., 1991. A uniform decimal code for growth stages of crops and weeds. Annals of Applied Biology 119, 561–601. https://doi.org/10.1111/j.1744-7348.1991.tb04895.x
Pagès, L., Pellerin, S., 1994. Evaluation of parameters describing the root system architecture of field grown maize plants (zea mays l.). Plant and Soil 164, 169–176. https://doi.org/10.1007/BF00010068
Yang, H.S., Dobermann, A., Cassman, K.G., Walters, D.T., Grassini, P., 2016. Hybrid maize (ver. 2016): A simulation model for corn growth and yield (Nebrasca Cooperative Extension). University of Nebraska-Lincoln, Lincoln, NE.