Kusvuran, Alpaslan

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  • Kusvuran, Alpaslan (2)
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Author's Bibliography

Assessment of AquaCrop model in the simulation of seed yield and biomass of Italian ryegrass

Stričević, Ružica; Simić, Aleksandar; Kusvuran, Alpaslan; Ćosić, Marija

(Taylor & Francis Ltd, Abingdon, 2017) 

TY  - JOUR
AU  - Stričević, Ružica
AU  - Simić, Aleksandar
AU  - Kusvuran, Alpaslan
AU  - Ćosić, Marija
PY  - 2017
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/4325
AB  - Given that the optimal sowing rate and inter-row spacing of Italian ryegrass raised for seed have not been determined, the objective of this research was to assess the effect of crop density on biomass and seed yields under different climate conditions, applying the AquaCrop model. The data came from experiments conducted under moderate continental climate conditions at Stitar (Serbia) and Mediterranean climate conditions at Cukurova (Turkey). At Stitar, there were three different inter-row spacings (high (S-d), medium (S-m) and low (S-w) crop densities), while at Cukurova there was only high crop density (S-n). In the calibration process, the initial canopy cover, canopy expansion and maximal canopy cover were adapted to each crop density, while the other conservative parameters were adjusted to correspond to all climate conditions. Calibration results showed a very good match between measured and simulated seed yields; the values of the coefficient of determination (0.922). The biomass simulation was very good for Cukurova (R-2=0.97), but somewhat poorer for Stitar (R-2=0.72). Other statistical indicators were high such as Willmott index of agreement of both the calibrated and validated data sets, for both study areas >0.916 and normalized root mean square error in the range from 9-18%. The AquaCrop model was found to be more reliable for Italian ryegrass biomass and seed yield predictions under mild winter climate conditions, with adequate water supply, compared with moderate climate and water shortage conditions.
PB  - Taylor & Francis Ltd, Abingdon
T2  - Archives of Agronomy and Soil Science
T1  - Assessment of AquaCrop model in the simulation of seed yield and biomass of Italian ryegrass
EP  - 1313
IS  - 9
SP  - 1301
VL  - 63
DO  - 10.1080/03650340.2016.1275580
ER  - 
@article{
author = "Stričević, Ružica and Simić, Aleksandar and Kusvuran, Alpaslan and Ćosić, Marija",
year = "2017",
abstract = "Given that the optimal sowing rate and inter-row spacing of Italian ryegrass raised for seed have not been determined, the objective of this research was to assess the effect of crop density on biomass and seed yields under different climate conditions, applying the AquaCrop model. The data came from experiments conducted under moderate continental climate conditions at Stitar (Serbia) and Mediterranean climate conditions at Cukurova (Turkey). At Stitar, there were three different inter-row spacings (high (S-d), medium (S-m) and low (S-w) crop densities), while at Cukurova there was only high crop density (S-n). In the calibration process, the initial canopy cover, canopy expansion and maximal canopy cover were adapted to each crop density, while the other conservative parameters were adjusted to correspond to all climate conditions. Calibration results showed a very good match between measured and simulated seed yields; the values of the coefficient of determination (0.922). The biomass simulation was very good for Cukurova (R-2=0.97), but somewhat poorer for Stitar (R-2=0.72). Other statistical indicators were high such as Willmott index of agreement of both the calibrated and validated data sets, for both study areas >0.916 and normalized root mean square error in the range from 9-18%. The AquaCrop model was found to be more reliable for Italian ryegrass biomass and seed yield predictions under mild winter climate conditions, with adequate water supply, compared with moderate climate and water shortage conditions.",
publisher = "Taylor & Francis Ltd, Abingdon",
journal = "Archives of Agronomy and Soil Science",
title = "Assessment of AquaCrop model in the simulation of seed yield and biomass of Italian ryegrass",
pages = "1313-1301",
number = "9",
volume = "63",
doi = "10.1080/03650340.2016.1275580"
}
Stričević, R., Simić, A., Kusvuran, A.,& Ćosić, M.. (2017). Assessment of AquaCrop model in the simulation of seed yield and biomass of Italian ryegrass. in Archives of Agronomy and Soil Science
Taylor & Francis Ltd, Abingdon., 63(9), 1301-1313.
https://doi.org/10.1080/03650340.2016.1275580
Stričević R, Simić A, Kusvuran A, Ćosić M. Assessment of AquaCrop model in the simulation of seed yield and biomass of Italian ryegrass. in Archives of Agronomy and Soil Science. 2017;63(9):1301-1313.
doi:10.1080/03650340.2016.1275580 .
Stričević, Ružica, Simić, Aleksandar, Kusvuran, Alpaslan, Ćosić, Marija, "Assessment of AquaCrop model in the simulation of seed yield and biomass of Italian ryegrass" in Archives of Agronomy and Soil Science, 63, no. 9 (2017):1301-1313,
https://doi.org/10.1080/03650340.2016.1275580 . .
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Assessment of AquaCrop Model in the Simulation of Seed Yield and Biomass of Italian Ryegrass

Stričević, Ružica; Simic, Aleksandar; Kusvuran, Alpaslan; Cosic, Marija

(Taylor&Francis, 2017) 

TY  - JOUR
AU  - Stričević, Ružica
AU  - Simic, Aleksandar
AU  - Kusvuran, Alpaslan
AU  - Cosic, Marija
PY  - 2017
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5775
AB  - Given that the optimal sowing rate and inter-row spacing of Italian ryegrass raised for seed
have not been determined, the objective of this research was to assess the effect of crop
density on biomass and seed yields under different climate conditions, applying the AquaCrop
model. The data came from experiments conducted under moderate continental climate
conditions at Stitar (Serbia) and Mediterranean climate conditions at Cukurova (Turkey). At
Stitar, there were three different inter-row spacings (high (Sd), medium (Sm), and low (Sw) crop
densities), while at Cukurova there was only high crop density (Sn). In the calibration process,
the initial canopy cover, canopy expansion and maximal canopy cover were adapted to each crop
density, while the other conservative parameters were adjusted to correspond to all climate
conditions. Calibration results showed a very good match between measured and simulated
seed yields; the values of the coefficient of determination (0.922). The biomass simulationwas very good for Cukurova (R2=0.97), but somewhat poorer for Stitar (R2=0.72). Other
statistical indicators were high such as Willmott index of agreement of both the calibrated and
validated data sets, for both study areas >0.916 and normalized root mean square error
(NRMSE) in the range from 9%–18%. The AquaCrop model was found to be more reliable
for Italian ryegrass biomass and seed yield predictions under mild winter climate conditions,
with adequate water supply, compared to moderate climate and water shortage conditions.
PB  - Taylor&Francis
T2  - Archives of Agronomy and Soil Science
T1  - Assessment of AquaCrop Model in the Simulation of Seed Yield and Biomass of Italian Ryegrass
EP  - 1313
IS  - 9
SP  - 1301
VL  - 63
DO  - 10.1080/03650340.2016.1275580
ER  - 
@article{
author = "Stričević, Ružica and Simic, Aleksandar and Kusvuran, Alpaslan and Cosic, Marija",
year = "2017",
abstract = "Given that the optimal sowing rate and inter-row spacing of Italian ryegrass raised for seed
have not been determined, the objective of this research was to assess the effect of crop
density on biomass and seed yields under different climate conditions, applying the AquaCrop
model. The data came from experiments conducted under moderate continental climate
conditions at Stitar (Serbia) and Mediterranean climate conditions at Cukurova (Turkey). At
Stitar, there were three different inter-row spacings (high (Sd), medium (Sm), and low (Sw) crop
densities), while at Cukurova there was only high crop density (Sn). In the calibration process,
the initial canopy cover, canopy expansion and maximal canopy cover were adapted to each crop
density, while the other conservative parameters were adjusted to correspond to all climate
conditions. Calibration results showed a very good match between measured and simulated
seed yields; the values of the coefficient of determination (0.922). The biomass simulationwas very good for Cukurova (R2=0.97), but somewhat poorer for Stitar (R2=0.72). Other
statistical indicators were high such as Willmott index of agreement of both the calibrated and
validated data sets, for both study areas >0.916 and normalized root mean square error
(NRMSE) in the range from 9%–18%. The AquaCrop model was found to be more reliable
for Italian ryegrass biomass and seed yield predictions under mild winter climate conditions,
with adequate water supply, compared to moderate climate and water shortage conditions.",
publisher = "Taylor&Francis",
journal = "Archives of Agronomy and Soil Science",
title = "Assessment of AquaCrop Model in the Simulation of Seed Yield and Biomass of Italian Ryegrass",
pages = "1313-1301",
number = "9",
volume = "63",
doi = "10.1080/03650340.2016.1275580"
}
Stričević, R., Simic, A., Kusvuran, A.,& Cosic, M.. (2017). Assessment of AquaCrop Model in the Simulation of Seed Yield and Biomass of Italian Ryegrass. in Archives of Agronomy and Soil Science
Taylor&Francis., 63(9), 1301-1313.
https://doi.org/10.1080/03650340.2016.1275580
Stričević R, Simic A, Kusvuran A, Cosic M. Assessment of AquaCrop Model in the Simulation of Seed Yield and Biomass of Italian Ryegrass. in Archives of Agronomy and Soil Science. 2017;63(9):1301-1313.
doi:10.1080/03650340.2016.1275580 .
Stričević, Ružica, Simic, Aleksandar, Kusvuran, Alpaslan, Cosic, Marija, "Assessment of AquaCrop Model in the Simulation of Seed Yield and Biomass of Italian Ryegrass" in Archives of Agronomy and Soil Science, 63, no. 9 (2017):1301-1313,
https://doi.org/10.1080/03650340.2016.1275580 . .
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