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Adapting to climate variability for rice cultivation paddies in the lowland coastal regions of Kien Giang Province, Vietnam Cover

Adapting to climate variability for rice cultivation paddies in the lowland coastal regions of Kien Giang Province, Vietnam

By:  and    
Open Access
|Oct 2023

Figures & Tables

Figure 1.

Map of the study area

Abbildung 1. Karte des Untersuchungsgebiets

Figure 2.

Distribution of average monthly rainfall and temperature across the study area

Abbildung 2. Verteilung des durchschnittlichen monatlichen Niederschlags und der Temperatur im Untersuchungsgebiet

Table 1.

Information about seeds, fertilizer rate, and irrigation water in the study area

Tabelle 1. Informationen zu Saatgut, Düngermenge und Bewässerungswasser im Untersuchungsgebiet

CropSeeds (kg/ha)Fertilizer rate (kg/ha)Rain fed (mm)Required irrigation (mm)
ISDSMSLSISDSMSLSISDSMSLS
WS80601005013033.4188.234.725.650186050
Stf100701006014046.473.7192.3306.54045100

[i] IS: initial stage; DS: development stage; MS: middle stage; LS: late stage

Table 2.

The physical and chemical properties of soil across the study area

Tabelle 2. Die physikalischen und chemischen Eigenschaften des Bodens im gesamten Untersuchungsgebiet

VariablesSoil depth layers (cm)
Ha TienKien LuongRach Gia
Layer0–1010–2020–3030–400–1010–2020–3030–400–1010–2020–3030–40
Sand (%)24.527.622.719.425.727.924.819.722.724.124.819.8
Silt (%)60.755.851.948.755.251.853.851.151.948.755.452.3
Clay (%)14.816.625.431.919.120.321.429.225.427.219.827.9
Soil featuresSilty clay loamSilt loamSilty clay loamSilty clay loamSilt loamSilt loamSilt loamSilty clay LoamSilt loamSilt loamSilt loamSilty clay loam
FC (% vol)403942383333334433333344
PWP (% vol)221819191313132313131323
SAT (% vol)524652524646465246464652
BD (g/cm3)1.121.211.251.310.980.890.961.020.970.940.991.13
TAW (mm/m)210200210210200200200210200200200210
K+ (cmol/kg)0.210.180.180.170.190.180.190.220.190.180.180.20
Na+ (cmol/kg)0.130.120.110.120.100.120.130.140.110.120.120.14
Ca2+ (cmol/kg)3.63.83.23.33.73.63.83.93.83.73.94.0
Mg2+ (cmol/kg)0.950.840.790.920.830.850.860.990.840.860.820.97
pH (H2O)5.55.35.65.75.75.45.15.05.85.55.65.0

[i] FC: field capacity; PWP: permanent wilting point; SAT: saturated hydraulic conductivity; BD: bulk density; TAW: total available soil water

Figure 3.

Meteorology variations applied for the validation and calibration procedures of the model

Abbildung 3. Meteorologische Variationen, die für die Validierungs- und Kalibrierungsverfahren des Modells angewendet werden

Table 3.

The main parameters used to simulate the crop cultivation schedules

Tabelle 3. Die wichtigsten Parameter zur Simulation der Anbaupläne für Pflanzen

DescriptionDefaultSelected
Base temperature5.04.80
Cut-off temperature3028.6
Canopy cover per seedling at 90% emergence (CCo)5.004.85
Soil water depletion threshold for stomata control – upper0.500.48
Shape factor for water stress coefficient for canopy senescence3.002.90
Decline in crop coefficient after reaching maximum canopy cover0.3%0.3%
Crop coefficient for transpiration at CC (100%)1.000.95
Leaf growth stress coefficient curve shape3.02.84
Normalized water productivity (WP)15%14.6%
Allowable maximum increase (%) of specified HI109.4
Table 4.

Comparison of observed rice grain yields with the simulated results

Tabelle 4. Vergleich der beobachteten Reiskornerträge mit den simulierten Ergebnissen

YearModel validationYearModel calibration
ObservedSimulatedObservedSimulated
20007.106.9820116.646.68
20017.267.1420127.126.86
20026.426.3120137.287.16
20036.546.7720146.576.83
20046.726.8220156.136.29
20056.356.5720166.446.39
20066.976.7620177.257.34
20077.136.9620187.346.99
20087.357.2720196.356.48
20097.587.5120206.786.85
20106.836.9820217.407.35
Figure 4.

Performance of model in calibration and validation procedures

Abbildung 4. Leistung des Modells bei Kalibrierungs- und Validierungsverfahren

Table 5.

The calibration and validation results of rice grain yield corresponding to winter–spring and summer–fall vegetation seasons

Tabelle 5. Die Kalibrierungs- und Validierungsergebnisse des Reiskornertrags entsprechen den Vegetationsperioden Winter-Frühling und Sommer-Herbst

CropValidationCalibration
dR2RMSEMAEdR2RMSEMAE
WS0.830.830.1714.9%0.860.850.1112.6%
SF0.760.770.2117.6%0.780.790.1613.4%
Figure 5.

Rice grain yield response to climate variables by shifting the crop cultivation schedules (sowing date) for a) winter–spring vegetation season and b) summer–fall vegetation season

Abbildung 5. Reaktion des Reiskornertrags auf Klimavariablen durch Verschiebung der Anbaupläne (Aussaatdatum) für a) Winter-Frühjahr-Vegetationsperiode und b) Sommer-Herbst-Vegetationsperiode

Table 6.

Rice grain yield response to change in the crop cultivation schedules (sowing date) in the winter–spring and summer–fall vegetation seasons

Tabelle 6. Reaktion des Reiskornertrags auf Änderungen der Anbaupläne (Aussaattermin) in der Winter-Frühlings- und Sommer-Herbst-Vegetationsperioden

Sowing dateWinter–springPeriodSummer–fall
Rice grain yield (ton/ha)Changed trend (%)Rice grain yield (ton/ha)Changed trend (%)
Current7.4-Current6.5-
307.3−1.6306.61.9
257.1−3.8256.72.7
206.9−6.7206.95.6
157.0−5.4156.72.5
107.0−4.9106.61.3
57.2−2.156.4−0.8
−57.50.9−56.3−2.4
−107.62.3−106.3−3.7
−157.85.7−156.1−5.8
−208.07.8−206.2−3.9
−257.74.3−256.4−1.6
−307.51.1−306.50.5
DOI: https://doi.org/10.2478/boku-2023-0003 | Journal eISSN: 2719-5430 (formerly 0006-5471) | Journal ISSN: 0006-5471
Language: English, German
Page range: 27 - 34
Submitted on: Apr 3, 2023
Accepted on: Aug 27, 2023
Published on: Oct 16, 2023
Published by: Universität für Bodenkultur Wien
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2023 Thai D. Phung, Truong A. Dang, published by Universität für Bodenkultur Wien
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.