Evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation module

Irrigation efficiency improvement requires optimization of its parameters like irrigation scheduling, threshold and amount of water usage. If these parameters are not satisfactorily optimized, negative consequences for the plant-soil system can occur with decreased yield and hence economic viability...
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Autor*in:	Monika MARKOVIĆ [verfasserIn] Vilim FILIPOVIĆ [verfasserIn] Tarzan LEGOVIĆ [verfasserIn] Marko JOSIPOVIĆ [verfasserIn] Vjekoslav TADIĆ [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	field water capacity dual-porosity model hydrus-1d numerical modelling single-porosity model triggered irrigation

Übergeordnetes Werk:	In: Soil and Water Research - Czech Academy of Agricultural Sciences, 2016, 10(2015), 3, Seite 164-171
Übergeordnetes Werk:	volume:10 ; year:2015 ; number:3 ; pages:164-171

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.17221/189/2014-SWR

Katalog-ID:	DOAJ082811644

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allfields	10.17221/189/2014-SWR doi (DE-627)DOAJ082811644 (DE-599)DOAJbd1d5200859a4e92835303032737e5b2 DE-627 ger DE-627 rakwb eng Monika MARKOVIĆ verfasserin aut Evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation module 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Irrigation efficiency improvement requires optimization of its parameters like irrigation scheduling, threshold and amount of water usage. If these parameters are not satisfactorily optimized, negative consequences for the plant-soil system can occur with decreased yield and hence economic viability of the agricultural production. Numerical modelling represents an efficient, i.e. simple and fast method for optimizing and testing different irrigation scenarios. In this study HYDRUS-1D model assuming single- and dual-porosity systems was used to evaluate a triggered irrigation module for irrigation scheduling in maize/soybean cropping trials. Irrigation treatment consisted of two irrigation regimes (A2 = 60-100% field capacity (FC) and A3 = 80-100% FC) and control plot (A1) without irrigation. The model showed a very good fit to the measured data with satisfactory model efficiency values of 0.77, 0.69, and 0.93 (single-porosity model) and 0.84, 0.67, and 0.92 (dual-porosity model) for A1, A2, and A3 plots, respectively. The single-porosity model gave a slightly better fit in the irrigated plots while the dual-porosity model gave better performance in the control plot. This inconsistency between the two approaches is due to the manual irrigation triggering and uncertainty in field data timing collection. Using the triggered irrigation module provided more irrigation events during maize and soybean crop rotation and consequently increased cumulative amounts of irrigated water. However, that increase resulted in more water available in the root zone during high evapotranspiration period. The HYDRUS code can be used to optimize irrigation threshold values further by assuming different scenarios (e.g. different irrigation threshold or scheduling) or a different crop. field water capacity dual-porosity model hydrus-1d numerical modelling single-porosity model triggered irrigation Agriculture S Vilim FILIPOVIĆ verfasserin aut Tarzan LEGOVIĆ verfasserin aut Marko JOSIPOVIĆ verfasserin aut Vjekoslav TADIĆ verfasserin aut In Soil and Water Research Czech Academy of Agricultural Sciences, 2016 10(2015), 3, Seite 164-171 (DE-627)585506779 (DE-600)2465020-1 18059384 nnns volume:10 year:2015 number:3 pages:164-171 https://doi.org/10.17221/189/2014-SWR kostenfrei https://doaj.org/article/bd1d5200859a4e92835303032737e5b2 kostenfrei https://swr.agriculturejournals.cz/artkey/swr-201503-0004_evaluation-of-different-soil-water-potential-by-field-capacity-threshold-in-combination-with-a-triggered-irriga.php kostenfrei https://doaj.org/toc/1801-5395 Journal toc kostenfrei https://doaj.org/toc/1805-9384 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2015 3 164-171
spelling	10.17221/189/2014-SWR doi (DE-627)DOAJ082811644 (DE-599)DOAJbd1d5200859a4e92835303032737e5b2 DE-627 ger DE-627 rakwb eng Monika MARKOVIĆ verfasserin aut Evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation module 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Irrigation efficiency improvement requires optimization of its parameters like irrigation scheduling, threshold and amount of water usage. If these parameters are not satisfactorily optimized, negative consequences for the plant-soil system can occur with decreased yield and hence economic viability of the agricultural production. Numerical modelling represents an efficient, i.e. simple and fast method for optimizing and testing different irrigation scenarios. In this study HYDRUS-1D model assuming single- and dual-porosity systems was used to evaluate a triggered irrigation module for irrigation scheduling in maize/soybean cropping trials. Irrigation treatment consisted of two irrigation regimes (A2 = 60-100% field capacity (FC) and A3 = 80-100% FC) and control plot (A1) without irrigation. The model showed a very good fit to the measured data with satisfactory model efficiency values of 0.77, 0.69, and 0.93 (single-porosity model) and 0.84, 0.67, and 0.92 (dual-porosity model) for A1, A2, and A3 plots, respectively. The single-porosity model gave a slightly better fit in the irrigated plots while the dual-porosity model gave better performance in the control plot. This inconsistency between the two approaches is due to the manual irrigation triggering and uncertainty in field data timing collection. Using the triggered irrigation module provided more irrigation events during maize and soybean crop rotation and consequently increased cumulative amounts of irrigated water. However, that increase resulted in more water available in the root zone during high evapotranspiration period. The HYDRUS code can be used to optimize irrigation threshold values further by assuming different scenarios (e.g. different irrigation threshold or scheduling) or a different crop. field water capacity dual-porosity model hydrus-1d numerical modelling single-porosity model triggered irrigation Agriculture S Vilim FILIPOVIĆ verfasserin aut Tarzan LEGOVIĆ verfasserin aut Marko JOSIPOVIĆ verfasserin aut Vjekoslav TADIĆ verfasserin aut In Soil and Water Research Czech Academy of Agricultural Sciences, 2016 10(2015), 3, Seite 164-171 (DE-627)585506779 (DE-600)2465020-1 18059384 nnns volume:10 year:2015 number:3 pages:164-171 https://doi.org/10.17221/189/2014-SWR kostenfrei https://doaj.org/article/bd1d5200859a4e92835303032737e5b2 kostenfrei https://swr.agriculturejournals.cz/artkey/swr-201503-0004_evaluation-of-different-soil-water-potential-by-field-capacity-threshold-in-combination-with-a-triggered-irriga.php kostenfrei https://doaj.org/toc/1801-5395 Journal toc kostenfrei https://doaj.org/toc/1805-9384 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2015 3 164-171
allfields_unstemmed	10.17221/189/2014-SWR doi (DE-627)DOAJ082811644 (DE-599)DOAJbd1d5200859a4e92835303032737e5b2 DE-627 ger DE-627 rakwb eng Monika MARKOVIĆ verfasserin aut Evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation module 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Irrigation efficiency improvement requires optimization of its parameters like irrigation scheduling, threshold and amount of water usage. If these parameters are not satisfactorily optimized, negative consequences for the plant-soil system can occur with decreased yield and hence economic viability of the agricultural production. Numerical modelling represents an efficient, i.e. simple and fast method for optimizing and testing different irrigation scenarios. In this study HYDRUS-1D model assuming single- and dual-porosity systems was used to evaluate a triggered irrigation module for irrigation scheduling in maize/soybean cropping trials. Irrigation treatment consisted of two irrigation regimes (A2 = 60-100% field capacity (FC) and A3 = 80-100% FC) and control plot (A1) without irrigation. The model showed a very good fit to the measured data with satisfactory model efficiency values of 0.77, 0.69, and 0.93 (single-porosity model) and 0.84, 0.67, and 0.92 (dual-porosity model) for A1, A2, and A3 plots, respectively. The single-porosity model gave a slightly better fit in the irrigated plots while the dual-porosity model gave better performance in the control plot. This inconsistency between the two approaches is due to the manual irrigation triggering and uncertainty in field data timing collection. Using the triggered irrigation module provided more irrigation events during maize and soybean crop rotation and consequently increased cumulative amounts of irrigated water. However, that increase resulted in more water available in the root zone during high evapotranspiration period. The HYDRUS code can be used to optimize irrigation threshold values further by assuming different scenarios (e.g. different irrigation threshold or scheduling) or a different crop. field water capacity dual-porosity model hydrus-1d numerical modelling single-porosity model triggered irrigation Agriculture S Vilim FILIPOVIĆ verfasserin aut Tarzan LEGOVIĆ verfasserin aut Marko JOSIPOVIĆ verfasserin aut Vjekoslav TADIĆ verfasserin aut In Soil and Water Research Czech Academy of Agricultural Sciences, 2016 10(2015), 3, Seite 164-171 (DE-627)585506779 (DE-600)2465020-1 18059384 nnns volume:10 year:2015 number:3 pages:164-171 https://doi.org/10.17221/189/2014-SWR kostenfrei https://doaj.org/article/bd1d5200859a4e92835303032737e5b2 kostenfrei https://swr.agriculturejournals.cz/artkey/swr-201503-0004_evaluation-of-different-soil-water-potential-by-field-capacity-threshold-in-combination-with-a-triggered-irriga.php kostenfrei https://doaj.org/toc/1801-5395 Journal toc kostenfrei https://doaj.org/toc/1805-9384 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2015 3 164-171
allfieldsGer	10.17221/189/2014-SWR doi (DE-627)DOAJ082811644 (DE-599)DOAJbd1d5200859a4e92835303032737e5b2 DE-627 ger DE-627 rakwb eng Monika MARKOVIĆ verfasserin aut Evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation module 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Irrigation efficiency improvement requires optimization of its parameters like irrigation scheduling, threshold and amount of water usage. If these parameters are not satisfactorily optimized, negative consequences for the plant-soil system can occur with decreased yield and hence economic viability of the agricultural production. Numerical modelling represents an efficient, i.e. simple and fast method for optimizing and testing different irrigation scenarios. In this study HYDRUS-1D model assuming single- and dual-porosity systems was used to evaluate a triggered irrigation module for irrigation scheduling in maize/soybean cropping trials. Irrigation treatment consisted of two irrigation regimes (A2 = 60-100% field capacity (FC) and A3 = 80-100% FC) and control plot (A1) without irrigation. The model showed a very good fit to the measured data with satisfactory model efficiency values of 0.77, 0.69, and 0.93 (single-porosity model) and 0.84, 0.67, and 0.92 (dual-porosity model) for A1, A2, and A3 plots, respectively. The single-porosity model gave a slightly better fit in the irrigated plots while the dual-porosity model gave better performance in the control plot. This inconsistency between the two approaches is due to the manual irrigation triggering and uncertainty in field data timing collection. Using the triggered irrigation module provided more irrigation events during maize and soybean crop rotation and consequently increased cumulative amounts of irrigated water. However, that increase resulted in more water available in the root zone during high evapotranspiration period. The HYDRUS code can be used to optimize irrigation threshold values further by assuming different scenarios (e.g. different irrigation threshold or scheduling) or a different crop. field water capacity dual-porosity model hydrus-1d numerical modelling single-porosity model triggered irrigation Agriculture S Vilim FILIPOVIĆ verfasserin aut Tarzan LEGOVIĆ verfasserin aut Marko JOSIPOVIĆ verfasserin aut Vjekoslav TADIĆ verfasserin aut In Soil and Water Research Czech Academy of Agricultural Sciences, 2016 10(2015), 3, Seite 164-171 (DE-627)585506779 (DE-600)2465020-1 18059384 nnns volume:10 year:2015 number:3 pages:164-171 https://doi.org/10.17221/189/2014-SWR kostenfrei https://doaj.org/article/bd1d5200859a4e92835303032737e5b2 kostenfrei https://swr.agriculturejournals.cz/artkey/swr-201503-0004_evaluation-of-different-soil-water-potential-by-field-capacity-threshold-in-combination-with-a-triggered-irriga.php kostenfrei https://doaj.org/toc/1801-5395 Journal toc kostenfrei https://doaj.org/toc/1805-9384 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2015 3 164-171
allfieldsSound	10.17221/189/2014-SWR doi (DE-627)DOAJ082811644 (DE-599)DOAJbd1d5200859a4e92835303032737e5b2 DE-627 ger DE-627 rakwb eng Monika MARKOVIĆ verfasserin aut Evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation module 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Irrigation efficiency improvement requires optimization of its parameters like irrigation scheduling, threshold and amount of water usage. If these parameters are not satisfactorily optimized, negative consequences for the plant-soil system can occur with decreased yield and hence economic viability of the agricultural production. Numerical modelling represents an efficient, i.e. simple and fast method for optimizing and testing different irrigation scenarios. In this study HYDRUS-1D model assuming single- and dual-porosity systems was used to evaluate a triggered irrigation module for irrigation scheduling in maize/soybean cropping trials. Irrigation treatment consisted of two irrigation regimes (A2 = 60-100% field capacity (FC) and A3 = 80-100% FC) and control plot (A1) without irrigation. The model showed a very good fit to the measured data with satisfactory model efficiency values of 0.77, 0.69, and 0.93 (single-porosity model) and 0.84, 0.67, and 0.92 (dual-porosity model) for A1, A2, and A3 plots, respectively. The single-porosity model gave a slightly better fit in the irrigated plots while the dual-porosity model gave better performance in the control plot. This inconsistency between the two approaches is due to the manual irrigation triggering and uncertainty in field data timing collection. Using the triggered irrigation module provided more irrigation events during maize and soybean crop rotation and consequently increased cumulative amounts of irrigated water. However, that increase resulted in more water available in the root zone during high evapotranspiration period. The HYDRUS code can be used to optimize irrigation threshold values further by assuming different scenarios (e.g. different irrigation threshold or scheduling) or a different crop. field water capacity dual-porosity model hydrus-1d numerical modelling single-porosity model triggered irrigation Agriculture S Vilim FILIPOVIĆ verfasserin aut Tarzan LEGOVIĆ verfasserin aut Marko JOSIPOVIĆ verfasserin aut Vjekoslav TADIĆ verfasserin aut In Soil and Water Research Czech Academy of Agricultural Sciences, 2016 10(2015), 3, Seite 164-171 (DE-627)585506779 (DE-600)2465020-1 18059384 nnns volume:10 year:2015 number:3 pages:164-171 https://doi.org/10.17221/189/2014-SWR kostenfrei https://doaj.org/article/bd1d5200859a4e92835303032737e5b2 kostenfrei https://swr.agriculturejournals.cz/artkey/swr-201503-0004_evaluation-of-different-soil-water-potential-by-field-capacity-threshold-in-combination-with-a-triggered-irriga.php kostenfrei https://doaj.org/toc/1801-5395 Journal toc kostenfrei https://doaj.org/toc/1805-9384 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2015 3 164-171
language	English
source	In Soil and Water Research 10(2015), 3, Seite 164-171 volume:10 year:2015 number:3 pages:164-171
sourceStr	In Soil and Water Research 10(2015), 3, Seite 164-171 volume:10 year:2015 number:3 pages:164-171
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topic_facet	field water capacity dual-porosity model hydrus-1d numerical modelling single-porosity model triggered irrigation Agriculture S
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container_title	Soil and Water Research
authorswithroles_txt_mv	Monika MARKOVIĆ @@aut@@ Vilim FILIPOVIĆ @@aut@@ Tarzan LEGOVIĆ @@aut@@ Marko JOSIPOVIĆ @@aut@@ Vjekoslav TADIĆ @@aut@@
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author	Monika MARKOVIĆ
spellingShingle	Monika MARKOVIĆ misc field water capacity misc dual-porosity model misc hydrus-1d misc numerical modelling misc single-porosity model misc triggered irrigation misc Agriculture misc S Evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation module
authorStr	Monika MARKOVIĆ
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topic_title	Evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation module field water capacity dual-porosity model hydrus-1d numerical modelling single-porosity model triggered irrigation
topic	misc field water capacity misc dual-porosity model misc hydrus-1d misc numerical modelling misc single-porosity model misc triggered irrigation misc Agriculture misc S
topic_unstemmed	misc field water capacity misc dual-porosity model misc hydrus-1d misc numerical modelling misc single-porosity model misc triggered irrigation misc Agriculture misc S
topic_browse	misc field water capacity misc dual-porosity model misc hydrus-1d misc numerical modelling misc single-porosity model misc triggered irrigation misc Agriculture misc S
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title	Evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation module
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title_full	Evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation module
author_sort	Monika MARKOVIĆ
journal	Soil and Water Research
journalStr	Soil and Water Research
lang_code	eng
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author_browse	Monika MARKOVIĆ Vilim FILIPOVIĆ Tarzan LEGOVIĆ Marko JOSIPOVIĆ Vjekoslav TADIĆ
container_volume	10
format_se	Elektronische Aufsätze
author-letter	Monika MARKOVIĆ
doi_str_mv	10.17221/189/2014-SWR
author2-role	verfasserin
title_sort	evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation module
title_auth	Evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation module
abstract	Irrigation efficiency improvement requires optimization of its parameters like irrigation scheduling, threshold and amount of water usage. If these parameters are not satisfactorily optimized, negative consequences for the plant-soil system can occur with decreased yield and hence economic viability of the agricultural production. Numerical modelling represents an efficient, i.e. simple and fast method for optimizing and testing different irrigation scenarios. In this study HYDRUS-1D model assuming single- and dual-porosity systems was used to evaluate a triggered irrigation module for irrigation scheduling in maize/soybean cropping trials. Irrigation treatment consisted of two irrigation regimes (A2 = 60-100% field capacity (FC) and A3 = 80-100% FC) and control plot (A1) without irrigation. The model showed a very good fit to the measured data with satisfactory model efficiency values of 0.77, 0.69, and 0.93 (single-porosity model) and 0.84, 0.67, and 0.92 (dual-porosity model) for A1, A2, and A3 plots, respectively. The single-porosity model gave a slightly better fit in the irrigated plots while the dual-porosity model gave better performance in the control plot. This inconsistency between the two approaches is due to the manual irrigation triggering and uncertainty in field data timing collection. Using the triggered irrigation module provided more irrigation events during maize and soybean crop rotation and consequently increased cumulative amounts of irrigated water. However, that increase resulted in more water available in the root zone during high evapotranspiration period. The HYDRUS code can be used to optimize irrigation threshold values further by assuming different scenarios (e.g. different irrigation threshold or scheduling) or a different crop.
abstractGer	Irrigation efficiency improvement requires optimization of its parameters like irrigation scheduling, threshold and amount of water usage. If these parameters are not satisfactorily optimized, negative consequences for the plant-soil system can occur with decreased yield and hence economic viability of the agricultural production. Numerical modelling represents an efficient, i.e. simple and fast method for optimizing and testing different irrigation scenarios. In this study HYDRUS-1D model assuming single- and dual-porosity systems was used to evaluate a triggered irrigation module for irrigation scheduling in maize/soybean cropping trials. Irrigation treatment consisted of two irrigation regimes (A2 = 60-100% field capacity (FC) and A3 = 80-100% FC) and control plot (A1) without irrigation. The model showed a very good fit to the measured data with satisfactory model efficiency values of 0.77, 0.69, and 0.93 (single-porosity model) and 0.84, 0.67, and 0.92 (dual-porosity model) for A1, A2, and A3 plots, respectively. The single-porosity model gave a slightly better fit in the irrigated plots while the dual-porosity model gave better performance in the control plot. This inconsistency between the two approaches is due to the manual irrigation triggering and uncertainty in field data timing collection. Using the triggered irrigation module provided more irrigation events during maize and soybean crop rotation and consequently increased cumulative amounts of irrigated water. However, that increase resulted in more water available in the root zone during high evapotranspiration period. The HYDRUS code can be used to optimize irrigation threshold values further by assuming different scenarios (e.g. different irrigation threshold or scheduling) or a different crop.
abstract_unstemmed	Irrigation efficiency improvement requires optimization of its parameters like irrigation scheduling, threshold and amount of water usage. If these parameters are not satisfactorily optimized, negative consequences for the plant-soil system can occur with decreased yield and hence economic viability of the agricultural production. Numerical modelling represents an efficient, i.e. simple and fast method for optimizing and testing different irrigation scenarios. In this study HYDRUS-1D model assuming single- and dual-porosity systems was used to evaluate a triggered irrigation module for irrigation scheduling in maize/soybean cropping trials. Irrigation treatment consisted of two irrigation regimes (A2 = 60-100% field capacity (FC) and A3 = 80-100% FC) and control plot (A1) without irrigation. The model showed a very good fit to the measured data with satisfactory model efficiency values of 0.77, 0.69, and 0.93 (single-porosity model) and 0.84, 0.67, and 0.92 (dual-porosity model) for A1, A2, and A3 plots, respectively. The single-porosity model gave a slightly better fit in the irrigated plots while the dual-porosity model gave better performance in the control plot. This inconsistency between the two approaches is due to the manual irrigation triggering and uncertainty in field data timing collection. Using the triggered irrigation module provided more irrigation events during maize and soybean crop rotation and consequently increased cumulative amounts of irrigated water. However, that increase resulted in more water available in the root zone during high evapotranspiration period. The HYDRUS code can be used to optimize irrigation threshold values further by assuming different scenarios (e.g. different irrigation threshold or scheduling) or a different crop.
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container_issue	3
title_short	Evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation module
url	https://doi.org/10.17221/189/2014-SWR https://doaj.org/article/bd1d5200859a4e92835303032737e5b2 https://swr.agriculturejournals.cz/artkey/swr-201503-0004_evaluation-of-different-soil-water-potential-by-field-capacity-threshold-in-combination-with-a-triggered-irriga.php https://doaj.org/toc/1801-5395 https://doaj.org/toc/1805-9384
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author2	Vilim FILIPOVIĆ Tarzan LEGOVIĆ Marko JOSIPOVIĆ Vjekoslav TADIĆ
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up_date	2024-07-03T13:58:02.281Z
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