Abstract
Abstract Irrigation water scheduling is crucial to make the most efficient use of ever-decreasing water. As excessive irrigation decreases yield, while imprecise application also causes various environmental issues. Therefore, efficient management of irrigation frequency and irrigation level is necessary to sustain productivity under limited water conditions. The objective of the current study is to assess the water productivity at various irrigation regimes during peanut crop growing seasons (2014 and 2015) in Eastern Mediterranean, Turkey. The field experiments were conducted with treatments consisting of three irrigation frequencies (IF) (IF 1 : 25 mm; IF 2 : 50 mm; and IF 3 : 75 mm of cumulative pan evaporation (CPE)), and four irrigation water levels (WL 1 = 0.50, WL 2 = 0.75, WL 3 = 1.0, and WL 4 = 1.25). WL 1 , WL 2 , WL 3 , and WL 4 treatments received 50, 75, 100, and 125 of cumulative pan evaporation. The CSM-CROPGRO-Peanut model was calibrated with experimental data in 2014 and evaluated with second-year experimental data (2015). The model simulated seed yield and final biomass (dry matter) reasonably well with low normalized root mean square error (RMSE n ) in various irrigation intervals. The model simulated reasonably well for days to anthesis (RMSE = 2.53, d -stat = 0.96, and r 2 = 0.90), days to physiological maturity (RMSE = 2.55), seed yield (RMSE = 1504), and tops biomass dry weight at maturity (RMSE = 3716). Simulation results indicated good agreement between measured and simulated soil water content (SWC) with low RMSE n values (4.0 to 16.8% in 2014 and 4.3 to 18.2% in 2015). Further results showed that IF 2 I 125 irrigation regime produced the highest seed yield. Generally, model evaluation performed reasonably well for all studied parameters with both years’ experimental data. Results also showed that the crop model would be a precision agriculture tool for the extrapolation of the allocation of irrigation water resources and decision management under current and future climate.
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Claims 10
Claim · model-written summary
The model simulated peanut seed yield and final biomass reasonably well across irrigation intervals.
- Taxon
- peanut
Arachis hypogaeae0 - Outcome
- seed yield and final biomass (dry matter)e1
- Value
- low normalized root mean square error (RMSE n )e1
- Qualifier
- in various irrigation intervalse1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“during peanut crop growing seasons (2014 and 2015) in Eastern Mediterranean, Turkey”
e1“The model simulated seed yield and final biomass (dry matter) reasonably well with low normalized root mean square error (RMSE n ) in various irrigation intervals”
Claim · model-written summary
The model simulated days to anthesis of peanut with RMSE = 2.53.
- Taxon
- peanutArachis hypogaeae0
- Outcome
- days to anthesise2
- Value
- RMSE = 2.53e2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“during peanut crop growing seasons (2014 and 2015) in Eastern Mediterranean, Turkey”
e2“The model simulated reasonably well for days to anthesis (RMSE = 2.53, d -stat = 0.96, and r 2 = 0.90)”
Claim · model-written summary
The model simulated days to anthesis of peanut with d-stat = 0.96.
- Taxon
- peanutArachis hypogaeae0
- Outcome
- days to anthesise2
- Value
- d -stat = 0.96e2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“during peanut crop growing seasons (2014 and 2015) in Eastern Mediterranean, Turkey”
e2“The model simulated reasonably well for days to anthesis (RMSE = 2.53, d -stat = 0.96, and r 2 = 0.90)”
Claim · model-written summary
The model simulated days to anthesis of peanut with r 2 = 0.90.
- Taxon
- peanutArachis hypogaeae0
- Outcome
- days to anthesise2
- Value
- r 2 = 0.90e2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“during peanut crop growing seasons (2014 and 2015) in Eastern Mediterranean, Turkey”
e2“The model simulated reasonably well for days to anthesis (RMSE = 2.53, d -stat = 0.96, and r 2 = 0.90)”
Claim · model-written summary
The model simulated days to physiological maturity of peanut with RMSE = 2.55.
- Taxon
- peanutArachis hypogaeae0
- Outcome
- days to physiological maturitye3
- Value
- RMSE = 2.55e3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“during peanut crop growing seasons (2014 and 2015) in Eastern Mediterranean, Turkey”
e3“days to physiological maturity (RMSE = 2.55)”
Claim · model-written summary
The model simulated peanut seed yield with RMSE = 1504.
- Taxon
- peanutArachis hypogaeae0
- Outcome
- seed yielde4
- Value
- RMSE = 1504e4
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“during peanut crop growing seasons (2014 and 2015) in Eastern Mediterranean, Turkey”
e4“seed yield (RMSE = 1504)”
Claim · model-written summary
The model simulated peanut tops biomass dry weight at maturity with RMSE = 3716.
- Taxon
- peanutArachis hypogaeae0
- Outcome
- tops biomass dry weight at maturitye5
- Value
- RMSE = 3716e5
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“during peanut crop growing seasons (2014 and 2015) in Eastern Mediterranean, Turkey”
e5“tops biomass dry weight at maturity (RMSE = 3716)”
Claim · model-written summary
Simulated soil water content agreed well with measured values in both years.
- Taxon
- peanutArachis hypogaeae0
- Outcome
- soil water content (SWC)e6
- Value
- 4.0 to 16.8% in 2014 and 4.3 to 18.2% in 2015e6
- Qualifier
- good agreement between measured and simulatede6
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“during peanut crop growing seasons (2014 and 2015) in Eastern Mediterranean, Turkey”
e6“Simulation results indicated good agreement between measured and simulated soil water content (SWC) with low RMSE n values (4.0 to 16.8% in 2014 and 4.3 to 18.2% in 2015)”
Claim · model-written summary
The IF 2 I 125 irrigation regime produced the highest peanut seed yield.
- Taxon
- peanutArachis hypogaeae0
- Treatment
- IF 2 I 125 irrigation regimee7
- Outcome
- seed yielde7
- Direction
- higheste7
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“during peanut crop growing seasons (2014 and 2015) in Eastern Mediterranean, Turkey”
e7“Further results showed that IF 2 I 125 irrigation regime produced the highest seed yield”
Claim · model-written summary
The authors propose the crop model as a precision agriculture tool for allocating irrigation water and managing decisions under current and future climate.
- Taxon
- peanutArachis hypogaeat0
- Outcome
- precision agriculture tool for the extrapolation of the allocation of irrigation water resourcese1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Growth and productivity assessments of peanut under different irrigation water management practices using CSM-CROPGRO-Peanut model in Eastern Mediterranean of Turkey”
e1“the crop model would be a precision agriculture tool for the extrapolation of the allocation of irrigation water resources and decision management under current and future climate”
The same questions in other papers
irrigation · yield · Arachis hypogaea (peanut)Positive and negative results
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