In recent years, frequent drought events in Konya, one of Türkiye's most important cereal production centres, have led to increased pressure on water and soil resources, resulting in yield losses, particularly in wheat production. Alternative yield prediction models, especially those that play a crucial role in agricultural import–export planning in the region, are important for economic contributions and the development of early warning systems. In this context, the aim of this study is to develop models that can be used in the yield prediction of wheat varieties widely grown in the Konya Altınova region. Agricultural drought indices obtained from Normalized Difference Vegetation Index (NDVI) and land surface temperature (LST) products of the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) satellite were used to obtain model inputs. These indices are the Vegetation Condition Index (VCI), Temperature Condition Index (TCI), Vegetation Health Index (VHI) and Vegetation Supply Water Index (VSWI). In obtaining the input parameters for the models, the growth periods of the varieties in the region were also considered. Using various machine learning algorithms, 21 yield prediction models for Bayraktar-2000, 12 for Kızıltan-91 and 8 for Bezostaya-1 were presented as alternatives, with model performances (coefficient of determination, R2) ranging between 0.74 and 0.97, 0.73 and 0.96, and 0.69 and 0.87, respectively.
{"title":"Yield prediction models for some wheat varieties with satellite-based drought indices and machine learning algorithms","authors":"Muhammed Cem Akcapınar, Belgin Çakmak","doi":"10.1002/ird.2989","DOIUrl":"10.1002/ird.2989","url":null,"abstract":"<p>In recent years, frequent drought events in Konya, one of Türkiye's most important cereal production centres, have led to increased pressure on water and soil resources, resulting in yield losses, particularly in wheat production. Alternative yield prediction models, especially those that play a crucial role in agricultural import–export planning in the region, are important for economic contributions and the development of early warning systems. In this context, the aim of this study is to develop models that can be used in the yield prediction of wheat varieties widely grown in the Konya Altınova region. Agricultural drought indices obtained from Normalized Difference Vegetation Index (NDVI) and land surface temperature (LST) products of the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) satellite were used to obtain model inputs. These indices are the Vegetation Condition Index (VCI), Temperature Condition Index (TCI), Vegetation Health Index (VHI) and Vegetation Supply Water Index (VSWI). In obtaining the input parameters for the models, the growth periods of the varieties in the region were also considered. Using various machine learning algorithms, 21 yield prediction models for Bayraktar-2000, 12 for Kızıltan-91 and 8 for Bezostaya-1 were presented as alternatives, with model performances (coefficient of determination, <i>R</i><sup>2</sup>) ranging between 0.74 and 0.97, 0.73 and 0.96, and 0.69 and 0.87, respectively.</p>","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"74 1","pages":"237-250"},"PeriodicalIF":1.6,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ird.2989","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141382074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Julianna Catonio da Silva, George do Nascimento Araújo Júnior, Adolpho Emanuel Quintela da Rocha, Thieres George Freire da Silva, Iêdo Peroba de Oliveira Teodoro, José Wanderson Silva dos Santos, Márcio Aurélio Lins dos Santos, Iêdo Teodoro, Gustavo Bastos Lyra, Ceres Duarte Guedes Cabral de Almeida, Alexsandro Claudio dos Santos Almeida
Sesame irrigation is essential in drought-prone regions. However, information about the water needs of sesame is scarce. Therefore, the objective of this study was to determine crop evapotranspiration (ETc) and the sesame crop coefficient (Kc) during the rainy (S1) and dry (S2) seasons in the coastal tablelands of Alagoas, Brazil. The BRS Seda cultivar was grown in Rio Largo, Alagoas, Brazil, between 2021 and 2022. A system with 25 drainage lysimeters was installed to estimate the daily and cumulative ETc and the Kc for the entire crop cycle. The ETc was partitioned into transpiration (T) and evaporation (E), and the basal crop coefficients (Kcb) and soil evaporation coefficients (Ke) were subsequently estimated. The daily and cumulative ETc were 3.04 mm day−1 and 450.4 mm cycle−1, respectively, in S1 and 3.52 mm day−1 and 440.1 mm cycle−1, respectively, in S2. Regardless of the season, T was the main water flux (74%–80% of the ETc). The mean values of Kc were similar for S1 (0.79) and S2 (0.75), and Kcb and Ke followed the same trend as T and E, respectively. The accumulated ETc and Kc of sesame cultivated in the coastal tablelands of Alagoas, Northeast Brazil, are similar for the rainy and dry seasons.
芝麻灌溉对干旱地区至关重要。然而,有关芝麻需水量的信息却很少。因此,本研究旨在确定巴西阿拉戈斯州沿海台地雨季(S1)和旱季(S2)的作物蒸散量(ETc)和芝麻作物系数(Kc)。2021 年至 2022 年期间,巴西阿拉戈斯州里约拉尔戈种植了 BRS Seda 栽培品种。该系统安装了 25 个排水溶样器,用于估算整个作物周期的每日和累积蒸散发量以及 Kc。蒸散发分为蒸腾(T)和蒸发(E)两部分,随后估算出作物基础系数(Kcb)和土壤蒸发系数(Ke)。在 S1,日蒸发量(ETc)和累积蒸发量(ETc)分别为 3.04 毫米/天-1 和 450.4 毫米/周-1;在 S2,日蒸发量(ETc)和累积蒸发量(ETc)分别为 3.52 毫米/天-1 和 440.1 毫米/周-1。无论哪个季节,T 都是主要的水通量(占蒸散发的 74%-80% )。Kc 的平均值在 S1(0.79)和 S2(0.75)中相似,Kcb 和 Ke 分别与 T 和 E 的趋势相同。巴西东北部阿拉戈斯州沿海台地种植的芝麻在雨季和旱季的累积蒸散发和 Kc 相似。
{"title":"Water requirement and single and dual crop coefficients of sesame cultivated in the coastal tablelands of Brazil","authors":"Julianna Catonio da Silva, George do Nascimento Araújo Júnior, Adolpho Emanuel Quintela da Rocha, Thieres George Freire da Silva, Iêdo Peroba de Oliveira Teodoro, José Wanderson Silva dos Santos, Márcio Aurélio Lins dos Santos, Iêdo Teodoro, Gustavo Bastos Lyra, Ceres Duarte Guedes Cabral de Almeida, Alexsandro Claudio dos Santos Almeida","doi":"10.1002/ird.2988","DOIUrl":"10.1002/ird.2988","url":null,"abstract":"<p>Sesame irrigation is essential in drought-prone regions. However, information about the water needs of sesame is scarce. Therefore, the objective of this study was to determine crop evapotranspiration (ET<sub>c</sub>) and the sesame crop coefficient (<i>K</i><sub>c</sub>) during the rainy (S1) and dry (S2) seasons in the coastal tablelands of Alagoas, Brazil. The BRS Seda cultivar was grown in Rio Largo, Alagoas, Brazil, between 2021 and 2022. A system with 25 drainage lysimeters was installed to estimate the daily and cumulative ET<sub>c</sub> and the <i>K</i><sub>c</sub> for the entire crop cycle. The ET<sub>c</sub> was partitioned into transpiration (<i>T</i>) and evaporation (<i>E</i>), and the basal crop coefficients (<i>K</i><sub>cb</sub>) and soil evaporation coefficients (<i>K</i><sub>e</sub>) were subsequently estimated. The daily and cumulative ET<sub>c</sub> were 3.04 mm day<sup>−1</sup> and 450.4 mm cycle<sup>−1</sup>, respectively, in S1 and 3.52 mm day<sup>−1</sup> and 440.1 mm cycle<sup>−1</sup>, respectively, in S2. Regardless of the season, <i>T</i> was the main water flux (74%–80% of the ET<sub>c</sub>). The mean values of <i>K</i><sub>c</sub> were similar for S1 (0.79) and S2 (0.75), and <i>K</i><sub>cb</sub> and <i>K</i><sub>e</sub> followed the same trend as <i>T</i> and <i>E</i>, respectively. The accumulated ET<sub>c</sub> and <i>K</i><sub>c</sub> of sesame cultivated in the coastal tablelands of Alagoas, Northeast Brazil, are similar for the rainy and dry seasons.</p>","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"74 1","pages":"216-236"},"PeriodicalIF":1.6,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141384831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p>Accurate estimation of the surface wetted radius (<i>R</i>) and vertical wetted depth (<i>Z</i>) of wetting patterns in drip irrigation systems is crucial for ensuring that the designs of such systems are effective. This study compared 14 empirical models for estimating drip irrigation wetting patterns by assessing their accuracy using published measurement data and HYDRUS-2D/3D simulations. The technique for order of preference by similarity to the ideal solution (TOPSIS) was employed to comprehensively rank the models. The results indicate that the empirical model proposed by Fan et al. (2023) (FY) exhibited the highest accuracy when the estimations of <i>R</i> and measured and simulated values were compared, with mean absolute error (MAE), root mean square error (RMSE), Nash–Sutcliffe modelling efficiency (NSE), and percent bias (PB) values of 2.2 cm, 3.4 cm, 0.79, and −7.1% and 5.2 cm, 7.0 cm, 0.50, and −14.1%, respectively. The empirical model proposed by Amin and Ekhmaj (2006) (AE) demonstrated the highest accuracy when the estimations of <i>Z</i> were compared with measured and simulated values, with MAE, RMSE, NSE and PB values of 1.7 cm, 2.0 cm, 0.95 and 4.15% and 4.4 cm, 5.9 cm, 0.82 and 4.7%, respectively. The comprehensive rankings of available models in the present study indicate that the FY model is the most universally applicable, followed by the Li et al. (2022) (LY) model, with comprehensive indices of 0.960 and 0.936, respectively. This research can aid in the selection of universally applicable, reliable and straightforward empirical models for estimating wetting patterns in drip irrigation systems.</p><p>Une estimation précise du rayon de surface mouillée (R) et de la profondeur verticale mouillée (Z) des modèles de mouillage dans les systèmes d'irrigation goutte à goutte est cruciale pour garantir l'efficacité de la conception de ces systèmes. Cette étude a fait la comparaison de 14 modèles empiriques pour estimer les modèles de mouillage de l'irrigation goutte à goutte en évaluant leur précision à l'aide de données de mesure publiées et de simulations HYDRUS-2D/3D. La technique pour l'ordre de préférence par similarité de solution idéale (TOPSIS) a été utilisée pour classer complètement les modèles. Les résultats indiquent que le modèle empirique proposé par Fan et al. (2023) (FY) présentait la plus grande précision lorsque les estimations de R et les valeurs mesurées et simulées ont été comparées, avec l'erreur absolue moyenne (MAE), l'erreur <i>quadratique</i> moyenne (RMSE), l'efficacité de modélisation de Nash-Sutcliffe (NSE) et les valeurs de biais en pourcentage (PB) de 2,2 cm, 3,4 cm, 0,79 et − 7,1% et 5,2 cm, 7,0 cm, 0,50 et − 14,1%, respectivement. Le modèle empirique proposé par Amin and Ekhmaj (2006) (AE) a démontré la plus grande précision lorsque les estimations de Z ont été comparées aux valeurs mesurées et simulées, avec des valeurs MAE, RMSE, NSE et PB de 1,7 cm, 2,0 cm, 0,95, et 4,15% et 4,4 cm, 5,9 cm, 0
{"title":"Empirical models for calculating soil wetting patterns under surface drip irrigation systems: A comprehensive analysis","authors":"Ge Li, Weibo Nie, Yuchen Li","doi":"10.1002/ird.2982","DOIUrl":"10.1002/ird.2982","url":null,"abstract":"<p>Accurate estimation of the surface wetted radius (<i>R</i>) and vertical wetted depth (<i>Z</i>) of wetting patterns in drip irrigation systems is crucial for ensuring that the designs of such systems are effective. This study compared 14 empirical models for estimating drip irrigation wetting patterns by assessing their accuracy using published measurement data and HYDRUS-2D/3D simulations. The technique for order of preference by similarity to the ideal solution (TOPSIS) was employed to comprehensively rank the models. The results indicate that the empirical model proposed by Fan et al. (2023) (FY) exhibited the highest accuracy when the estimations of <i>R</i> and measured and simulated values were compared, with mean absolute error (MAE), root mean square error (RMSE), Nash–Sutcliffe modelling efficiency (NSE), and percent bias (PB) values of 2.2 cm, 3.4 cm, 0.79, and −7.1% and 5.2 cm, 7.0 cm, 0.50, and −14.1%, respectively. The empirical model proposed by Amin and Ekhmaj (2006) (AE) demonstrated the highest accuracy when the estimations of <i>Z</i> were compared with measured and simulated values, with MAE, RMSE, NSE and PB values of 1.7 cm, 2.0 cm, 0.95 and 4.15% and 4.4 cm, 5.9 cm, 0.82 and 4.7%, respectively. The comprehensive rankings of available models in the present study indicate that the FY model is the most universally applicable, followed by the Li et al. (2022) (LY) model, with comprehensive indices of 0.960 and 0.936, respectively. This research can aid in the selection of universally applicable, reliable and straightforward empirical models for estimating wetting patterns in drip irrigation systems.</p><p>Une estimation précise du rayon de surface mouillée (R) et de la profondeur verticale mouillée (Z) des modèles de mouillage dans les systèmes d'irrigation goutte à goutte est cruciale pour garantir l'efficacité de la conception de ces systèmes. Cette étude a fait la comparaison de 14 modèles empiriques pour estimer les modèles de mouillage de l'irrigation goutte à goutte en évaluant leur précision à l'aide de données de mesure publiées et de simulations HYDRUS-2D/3D. La technique pour l'ordre de préférence par similarité de solution idéale (TOPSIS) a été utilisée pour classer complètement les modèles. Les résultats indiquent que le modèle empirique proposé par Fan et al. (2023) (FY) présentait la plus grande précision lorsque les estimations de R et les valeurs mesurées et simulées ont été comparées, avec l'erreur absolue moyenne (MAE), l'erreur <i>quadratique</i> moyenne (RMSE), l'efficacité de modélisation de Nash-Sutcliffe (NSE) et les valeurs de biais en pourcentage (PB) de 2,2 cm, 3,4 cm, 0,79 et − 7,1% et 5,2 cm, 7,0 cm, 0,50 et − 14,1%, respectivement. Le modèle empirique proposé par Amin and Ekhmaj (2006) (AE) a démontré la plus grande précision lorsque les estimations de Z ont été comparées aux valeurs mesurées et simulées, avec des valeurs MAE, RMSE, NSE et PB de 1,7 cm, 2,0 cm, 0,95, et 4,15% et 4,4 cm, 5,9 cm, 0","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"74 1","pages":"86-106"},"PeriodicalIF":1.6,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141273446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hamid Najafinezhad, Mohmmad Ali Javaheri, Nader Koohi, Seid Zabihallah Ravari, Mohammad Reza Asgharipour
<p>Water scarcity and droughts are major challenges for cattle production in Iran due to the resulting feed shortages. Cactus plants were studied for 3 years (2017–2019) for their agronomic and water productivity. The study used a four-replication randomized block design. Normal, moderate drought stress and severe drought stress irrigation were applied in 2017. The irrigation depths applied to the cactus plants were established by referencing cumulative pan evaporation values, with 100, 140 and 180 mm in 2017; 140, 190 and 240 mm in 2018; and 160, 210 and 260 mm in 2019, representing the total depth of water added during each irrigation event. In 2018 and 2019, the normal and severe drought stress treatments produced the most and least number of cladodes per plant, respectively. As dry stress increased, the cladode length, breadth and diameter decreased. Severe drought stress had the greatest potassium content and the lowest neutral detergent fibre (NDF) and acid detergent fibre (ADF) concentrations. Normal irrigation had the greatest effect on water productivity in 2018 and 2019. The usual treatment produced the greatest fresh and dry yields in 2018 (57.3 and 4.51 t ha<sup>−1</sup>) and 2019 (112 and 8.97 t ha<sup>−1</sup>). Under mild drought stress, the crude protein content was 8%, and under severe drought stress, it was 7%. The results suggest that Kerman, Iran, can grow cactus with less water.</p><p>La pénurie d'eau et les sécheresses sont des défis majeurs en face de la production de bétail en Iran en raison des pénuries alimentaires qui en résultent. Les plantes cactus ont été étudiées pendant trois ans (2017–2019) pour leur productivité agronomique et hydrique. L'étude a utilisé un plan en blocs aléatoire à quatre répétitions. Des systèmes d'irrigation normaux, modérés et sévères en ce qui concerne la sécheresse ont été appliqués en 2017. Les profondeurs d'irrigation appliquées aux plantes de cactus ont été établies en référençant les valeurs cumulatives d'évaporation pan, avec 100, 140 et 180 mm en 2017; 140, 190 et 240 mm en 2018; et 160, 210 et 260 mm en 2019, représentant la profondeur totale d'eau ajoutée lors de chaque événement d'irrigation. En 2018 et 2019, les traitements de stress de sécheresse normale et sévère ont produit le plus grand et le moins grand nombre de cladodes par plante, respectivement. À mesure que la contrainte sèche augmentait, la longueur, la largeur et le diamètre des cladodes diminuaient. Le stress de sécheresse sévère a eu la plus grande teneur en potassium et les plus faibles concentrations de la fibre de détergent neutre (NDF) et de la <i>fibre</i> de détergent <i>acide</i> (<i>ADF</i>). L'irrigation normale a exercé le plus grand impact sur la productivité de l'eau en 2018 et 2019. Le traitement habituel a produit les meilleurs rendements frais et secs en 2018 (57,3 et 4,51 t ha-1) et 2019 (112 et 8,97 t ha-1). En cas de sécheresse légère, la teneur en protéines brutes était de 8%, et en cas de sécheres
{"title":"Optimizing irrigation for cactus (Opuntia ficus-indica) fodder production under drought conditions in Kerman, Iran","authors":"Hamid Najafinezhad, Mohmmad Ali Javaheri, Nader Koohi, Seid Zabihallah Ravari, Mohammad Reza Asgharipour","doi":"10.1002/ird.2979","DOIUrl":"https://doi.org/10.1002/ird.2979","url":null,"abstract":"<p>Water scarcity and droughts are major challenges for cattle production in Iran due to the resulting feed shortages. Cactus plants were studied for 3 years (2017–2019) for their agronomic and water productivity. The study used a four-replication randomized block design. Normal, moderate drought stress and severe drought stress irrigation were applied in 2017. The irrigation depths applied to the cactus plants were established by referencing cumulative pan evaporation values, with 100, 140 and 180 mm in 2017; 140, 190 and 240 mm in 2018; and 160, 210 and 260 mm in 2019, representing the total depth of water added during each irrigation event. In 2018 and 2019, the normal and severe drought stress treatments produced the most and least number of cladodes per plant, respectively. As dry stress increased, the cladode length, breadth and diameter decreased. Severe drought stress had the greatest potassium content and the lowest neutral detergent fibre (NDF) and acid detergent fibre (ADF) concentrations. Normal irrigation had the greatest effect on water productivity in 2018 and 2019. The usual treatment produced the greatest fresh and dry yields in 2018 (57.3 and 4.51 t ha<sup>−1</sup>) and 2019 (112 and 8.97 t ha<sup>−1</sup>). Under mild drought stress, the crude protein content was 8%, and under severe drought stress, it was 7%. The results suggest that Kerman, Iran, can grow cactus with less water.</p><p>La pénurie d'eau et les sécheresses sont des défis majeurs en face de la production de bétail en Iran en raison des pénuries alimentaires qui en résultent. Les plantes cactus ont été étudiées pendant trois ans (2017–2019) pour leur productivité agronomique et hydrique. L'étude a utilisé un plan en blocs aléatoire à quatre répétitions. Des systèmes d'irrigation normaux, modérés et sévères en ce qui concerne la sécheresse ont été appliqués en 2017. Les profondeurs d'irrigation appliquées aux plantes de cactus ont été établies en référençant les valeurs cumulatives d'évaporation pan, avec 100, 140 et 180 mm en 2017; 140, 190 et 240 mm en 2018; et 160, 210 et 260 mm en 2019, représentant la profondeur totale d'eau ajoutée lors de chaque événement d'irrigation. En 2018 et 2019, les traitements de stress de sécheresse normale et sévère ont produit le plus grand et le moins grand nombre de cladodes par plante, respectivement. À mesure que la contrainte sèche augmentait, la longueur, la largeur et le diamètre des cladodes diminuaient. Le stress de sécheresse sévère a eu la plus grande teneur en potassium et les plus faibles concentrations de la fibre de détergent neutre (NDF) et de la <i>fibre</i> de détergent <i>acide</i> (<i>ADF</i>). L'irrigation normale a exercé le plus grand impact sur la productivité de l'eau en 2018 et 2019. Le traitement habituel a produit les meilleurs rendements frais et secs en 2018 (57,3 et 4,51 t ha-1) et 2019 (112 et 8,97 t ha-1). En cas de sécheresse légère, la teneur en protéines brutes était de 8%, et en cas de sécheres","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"74 1","pages":"299-315"},"PeriodicalIF":1.6,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Osvaldo Salazar, Marcela Castro, Ranvir Singh, Helena Ponstein
The main aim of this study was to evaluate the potential savings of irrigation water by assessing the soil water balance during the growing season in a wine vineyard in the Maule region, Chile. This study provides insights into the influences of different irrigation water applications on soil water status and its potential effects on grape yields, water use efficiency (WUE) and the cost of irrigation to help improve irrigation practices in the region and other similar Mediterranean regions. The field experiment compared three levels of irrigation water applied: current irrigation of the vineyard (T0) and two deficit irrigation treatments with reductions to 75% (T1) and 50% of the irrigated water (T2). The measurements included volumetric soil water content, shallow groundwater table, canopy cover and grape yield at harvest during the entire growing season (October 2017 to April 2018). We found a potential reduction of 25% or 50% in the current irrigation system while maintaining the grape yield, increasing the WUE and reducing the cost of irrigation. Consideration of the water stored in the soil by the accumulation of rainfall in the winter season and the potential for capillary rise of shallow groundwaters is crucial for adjusting irrigation to vine water requirements.
{"title":"Evaluation of potential irrigation water savings by assessing the soil water balance in a vineyard in central Chile","authors":"Osvaldo Salazar, Marcela Castro, Ranvir Singh, Helena Ponstein","doi":"10.1002/ird.2980","DOIUrl":"https://doi.org/10.1002/ird.2980","url":null,"abstract":"<p>The main aim of this study was to evaluate the potential savings of irrigation water by assessing the soil water balance during the growing season in a wine vineyard in the Maule region, Chile. This study provides insights into the influences of different irrigation water applications on soil water status and its potential effects on grape yields, water use efficiency (WUE) and the cost of irrigation to help improve irrigation practices in the region and other similar Mediterranean regions. The field experiment compared three levels of irrigation water applied: current irrigation of the vineyard (T<sub>0</sub>) and two deficit irrigation treatments with reductions to 75% (T<sub>1</sub>) and 50% of the irrigated water (T<sub>2</sub>). The measurements included volumetric soil water content, shallow groundwater table, canopy cover and grape yield at harvest during the entire growing season (October 2017 to April 2018). We found a potential reduction of 25% or 50% in the current irrigation system while maintaining the grape yield, increasing the WUE and reducing the cost of irrigation. Consideration of the water stored in the soil by the accumulation of rainfall in the winter season and the potential for capillary rise of shallow groundwaters is crucial for adjusting irrigation to vine water requirements.</p>","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"74 1","pages":"316-331"},"PeriodicalIF":1.6,"publicationDate":"2024-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ird.2980","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In Pakistan's arid agricultural landscape, this 4-year (2020–2023) study on silty loam soil examined the relationships between sowing methods, irrigation practices, rice yield and water productivity. Using a randomized split block design, no tillage (NT) with alternate wetting and drying (AWD) and a furrow-irrigated narrow bed (NB) emerged as being consistently competitive, showing potential for sustainable rice cultivation. Key findings indicate that AWD significantly enhances water productivity (11–35%) and increases yield (2–10%) compared to conventional practices. Drip-irrigated wide beds (WBs) conserve substantial amounts of water (73%) but may compromise rice yield (4–47%). This study provides valuable insights into the dynamic outcomes and distinct performance trends of different rice varieties. The results suggest a potential maximum yield increase of 2–22% through optimized practices, and replacing rice may increase yield by 25–231%. Conversely, the selection of improper irrigation schedules and sowing methods for the given soil and crop conditions may lead to a yield reduction of up to 47% in high-yielding rice varieties. These findings may help to establish a foundation for further research investigating informed decision making for sowing and irrigation methods. The potential scalability of the identified technologies and further in-depth simulation strategies across diverse agroecological zones in Pakistan holds promise for widespread adoption, enhancing the sustainability of rice farming in the region.
{"title":"Enhancing the irrigation water productivity of rice farming: A study on sowing and irrigation practices in Pakistan","authors":"Ghani Akbar, Zafar Islam, Shahid Hameed Khalil, Zeeshan Wali","doi":"10.1002/ird.2981","DOIUrl":"10.1002/ird.2981","url":null,"abstract":"<p>In Pakistan's arid agricultural landscape, this 4-year (2020–2023) study on silty loam soil examined the relationships between sowing methods, irrigation practices, rice yield and water productivity. Using a randomized split block design, no tillage (NT) with alternate wetting and drying (AWD) and a furrow-irrigated narrow bed (NB) emerged as being consistently competitive, showing potential for sustainable rice cultivation. Key findings indicate that AWD significantly enhances water productivity (11–35%) and increases yield (2–10%) compared to conventional practices. Drip-irrigated wide beds (WBs) conserve substantial amounts of water (73%) but may compromise rice yield (4–47%). This study provides valuable insights into the dynamic outcomes and distinct performance trends of different rice varieties. The results suggest a potential maximum yield increase of 2–22% through optimized practices, and replacing rice may increase yield by 25–231%. Conversely, the selection of improper irrigation schedules and sowing methods for the given soil and crop conditions may lead to a yield reduction of up to 47% in high-yielding rice varieties. These findings may help to establish a foundation for further research investigating informed decision making for sowing and irrigation methods. The potential scalability of the identified technologies and further in-depth simulation strategies across diverse agroecological zones in Pakistan holds promise for widespread adoption, enhancing the sustainability of rice farming in the region.</p>","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"74 1","pages":"332-341"},"PeriodicalIF":1.6,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141120785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sevgi Saylak, Suat Irmak, Kent M. Eskridge, Ismail Dweikat
Sunflower (Helianthus annuus L.) is moderately tolerant to salt and water stress, but its production can still be significantly and adversely affected by increases in these stressors as a result of the negative impacts of climate change on agricultural soil and crop productivity. The morphological and productivity (dry head weight, dry root weight, dry shoot weight, head diameter, whole seed weight, crude protein content, crude oil content, palmitic acid, stearic acid, oleic acid, linoleic acid, eicosanoic acid, 11-eicosenoic acid, homo-gamma-linolenic w6 acid, lignoceric acid and plant height) responses of modern sunflower germplasms to different levels of salt and drought stress under greenhouse and field conditions were investigated and analysed. Six germplasms were evaluated under three salt concentrations (0, 150 and 250 mM), and two germplasms were evaluated for drought response under three irrigation levels. Significant differences in the response of sunflower germplasms to water and salinity were detected. The same germplasms exhibited significant differences in response to water and salinity between the treatments, which also varied significantly between the germplasms for the same treatment. The irrigation level significantly influenced the amount of oil but not the crude protein or fatty acid composition. The results and information of this research can aid in selecting and improving sunflower productivity under adverse (i.e. saline and drought) conditions.
{"title":"Sunflower germplasms’ response to different water and salinity stress levels in greenhouse and field conditions under subsurface drip irrigation","authors":"Sevgi Saylak, Suat Irmak, Kent M. Eskridge, Ismail Dweikat","doi":"10.1002/ird.2977","DOIUrl":"10.1002/ird.2977","url":null,"abstract":"<p>Sunflower (<i>Helianthus annuus</i> L.) is moderately tolerant to salt and water stress, but its production can still be significantly and adversely affected by increases in these stressors as a result of the negative impacts of climate change on agricultural soil and crop productivity. The morphological and productivity (dry head weight, dry root weight, dry shoot weight, head diameter, whole seed weight, crude protein content, crude oil content, palmitic acid, stearic acid, oleic acid, linoleic acid, eicosanoic acid, 11-eicosenoic acid, homo-gamma-linolenic w6 acid, lignoceric acid and plant height) responses of modern sunflower germplasms to different levels of salt and drought stress under greenhouse and field conditions were investigated and analysed. Six germplasms were evaluated under three salt concentrations (0, 150 and 250 mM), and two germplasms were evaluated for drought response under three irrigation levels. Significant differences in the response of sunflower germplasms to water and salinity were detected. The same germplasms exhibited significant differences in response to water and salinity between the treatments, which also varied significantly between the germplasms for the same treatment. The irrigation level significantly influenced the amount of oil but not the crude protein or fatty acid composition. The results and information of this research can aid in selecting and improving sunflower productivity under adverse (i.e. saline and drought) conditions.</p>","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"74 1","pages":"161-181"},"PeriodicalIF":1.6,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ird.2977","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141123114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Huynh Vuong Thu Minh, Pankaj Kumar, Gowhar Meraj, Lam Van Thinh, Nigel K. Downes, Tran Van Ty, Nguyen Dinh Giang Nam, Fei Zhang, Bin Liu, Le Thien Hung, Dinh Van Duy, Tran Thi Truc Ly, Nguyen Quoc Luat, Ram Avtar, Mansour Almazroui
The Mekong Delta, South East Asia's ‘rice bowl’, sustains more than 18 million people through its agricultural output. This yield is secured by efficient water management systems but is susceptible to climatic changes. As Vietnam's policies aim to optimize the delta's semi-mountainous regions reliant on rain-fed agriculture, this study investigates drought risks and climate change impacts on runoff in the O Ta Soc and O Tuk Sa reservoirs, An Giang Province, Vietnam. Using simulation models, we determined runoff volumes for specific rainfall return periods and climate scenarios for the 2030s and 2050s. Using the storm water management model (SWMM), we simulated the reservoir water balance considering rainfall, evaporation and infiltration. Our findings suggest potentially increased runoff and reservoir storage due to intensified monsoons and reduced off-season rainfall. The 4.77 km2 drainage of the O Ta Soc reservoir could benefit from this, while the 2.55 km2 drainage of the O Tuk Sa watershed may require alternative water-sourcing strategies. This research offers insights for drought predictions, flood management and water strategies in An Giang. To refine these predictions, future research should consider upcoming rainfall patterns.
湄公河三角洲是东南亚的 "稻米之乡",其农业产量养活了 1800 多万人。高效的水资源管理系统确保了这一产量,但也容易受到气候变化的影响。由于越南的政策旨在优化三角洲依赖雨水灌溉的半山区农业,本研究调查了干旱风险和气候变化对越南安江省 O Ta Soc 和 O Tuk Sa 水库径流的影响。利用模拟模型,我们确定了 2030 年代和 2050 年代特定降雨重现期和气候情景下的径流量。利用雨水管理模型(SWMM),我们模拟了考虑降雨、蒸发和渗透的水库水平衡。我们的研究结果表明,由于季风增强和淡季降雨减少,径流和水库蓄水量可能会增加。O Ta Soc 水库 4.77 平方公里的排水系统可从中受益,而 O Tuk Sa 流域 2.55 平方公里的排水系统可能需要采取其他水源策略。这项研究为安江的干旱预测、洪水管理和水资源战略提供了启示。为完善这些预测,未来的研究应考虑未来的降雨模式。
{"title":"Climate-driven runoff variability in semi-mountainous reservoirs of the Vietnamese Mekong Delta: Insights for sustainable water management","authors":"Huynh Vuong Thu Minh, Pankaj Kumar, Gowhar Meraj, Lam Van Thinh, Nigel K. Downes, Tran Van Ty, Nguyen Dinh Giang Nam, Fei Zhang, Bin Liu, Le Thien Hung, Dinh Van Duy, Tran Thi Truc Ly, Nguyen Quoc Luat, Ram Avtar, Mansour Almazroui","doi":"10.1002/ird.2968","DOIUrl":"10.1002/ird.2968","url":null,"abstract":"<p>The Mekong Delta, South East Asia's ‘rice bowl’, sustains more than 18 million people through its agricultural output. This yield is secured by efficient water management systems but is susceptible to climatic changes. As Vietnam's policies aim to optimize the delta's semi-mountainous regions reliant on rain-fed agriculture, this study investigates drought risks and climate change impacts on runoff in the O Ta Soc and O Tuk Sa reservoirs, An Giang Province, Vietnam. Using simulation models, we determined runoff volumes for specific rainfall return periods and climate scenarios for the 2030s and 2050s. Using the storm water management model (SWMM), we simulated the reservoir water balance considering rainfall, evaporation and infiltration. Our findings suggest potentially increased runoff and reservoir storage due to intensified monsoons and reduced off-season rainfall. The 4.77 km<sup>2</sup> drainage of the O Ta Soc reservoir could benefit from this, while the 2.55 km<sup>2</sup> drainage of the O Tuk Sa watershed may require alternative water-sourcing strategies. This research offers insights for drought predictions, flood management and water strategies in An Giang. To refine these predictions, future research should consider upcoming rainfall patterns.</p>","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"73 4","pages":"1633-1653"},"PeriodicalIF":1.6,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140976939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The aim of this study was to compare the performance of water user organizations (WUOs) in the agricultural sector in terms of their managerial efficiency. A survey was carried out across the study area to evaluate 67 WUOs, including irrigation cooperatives, municipalities, village legal entities (VLEs) and water user associations (WUAs). The findings were then used to create a management performance index. It has been determined that municipalities excel in terms of physical performance, irrigation cooperatives in enterprise and social performance and WUAs in institutional and investment performance. The general management performance index revealed that the most successful WUOs in the Konya closed basin were WUAs. Therefore, proposals have been put forward to begin institutionalization processes in other institutions to attain the successful institutionalization in WUAs. Additionally, the shift towards prepaid systems is recommended to mitigate collection problems, while water should be priced according to the full cost method. Finally, supporting the use of alternative energy sources for irrigation is crucial.
{"title":"The role of institutional diversity in sustainable water use: Performance comparison among water user organizations","authors":"Süheyla Ağizan, Zeki Bayramoğlu, Kemalettin Ağizan, Merve Bozdemir","doi":"10.1002/ird.2976","DOIUrl":"10.1002/ird.2976","url":null,"abstract":"<p>The aim of this study was to compare the performance of water user organizations (WUOs) in the agricultural sector in terms of their managerial efficiency. A survey was carried out across the study area to evaluate 67 WUOs, including irrigation cooperatives, municipalities, village legal entities (VLEs) and water user associations (WUAs). The findings were then used to create a management performance index. It has been determined that municipalities excel in terms of physical performance, irrigation cooperatives in enterprise and social performance and WUAs in institutional and investment performance. The general management performance index revealed that the most successful WUOs in the Konya closed basin were WUAs. Therefore, proposals have been put forward to begin institutionalization processes in other institutions to attain the successful institutionalization in WUAs. Additionally, the shift towards prepaid systems is recommended to mitigate collection problems, while water should be priced according to the full cost method. Finally, supporting the use of alternative energy sources for irrigation is crucial.</p>","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"73 4","pages":"1520-1535"},"PeriodicalIF":1.6,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ird.2976","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140982408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Since the late 1990s, the irrigation quota in Xinjiang, northwestern China has witnessed a decline, owing to the widespread adoption of highly efficient water-saving irrigation technologies. This phenomenon prompts the question: has there been a corresponding impact on potential evaporation? To explore changes in potential evaporation resulting from irrigation advances, we conducted a comprehensive analysis spanning the years 1978–2017 in Xinjiang. Our investigation focused on a pairwise examination of agricultural stations with substantial irrigation effects, enveloped by a substantial proportion of cultivated land, and reference stations with negligible irrigation effects, surrounded by a comparatively smaller proportion of cultivated land. The findings unveiled a noteworthy reduction in potential evaporation at agricultural stations during the period 1978–1997. However, a contrasting trend emerged in the subsequent period of 1998–2017, wherein there was a significant increase in potential evaporation. In contrast, reference stations did not exhibit statistically significant reversals in potential evaporation. The observed changes in potential evaporation at agricultural stations were primarily attributed to shifts in aerodynamic components. These changes were closely associated with the reversed changes in irrigation intensity, a consequence of the widespread adoption of water-saving irrigation practices since 1998.
{"title":"Changes in potential evaporation with the extension of water-saving irrigation in Xinjiang, north-western China","authors":"Songjun Han, Mengzhi Ren, Dengfeng Liu, Congying Han, Fuqiang Tian, Baozhong Zhang","doi":"10.1002/ird.2975","DOIUrl":"10.1002/ird.2975","url":null,"abstract":"<p>Since the late 1990s, the irrigation quota in Xinjiang, northwestern China has witnessed a decline, owing to the widespread adoption of highly efficient water-saving irrigation technologies. This phenomenon prompts the question: has there been a corresponding impact on potential evaporation? To explore changes in potential evaporation resulting from irrigation advances, we conducted a comprehensive analysis spanning the years 1978–2017 in Xinjiang. Our investigation focused on a pairwise examination of agricultural stations with substantial irrigation effects, enveloped by a substantial proportion of cultivated land, and reference stations with negligible irrigation effects, surrounded by a comparatively smaller proportion of cultivated land. The findings unveiled a noteworthy reduction in potential evaporation at agricultural stations during the period 1978–1997. However, a contrasting trend emerged in the subsequent period of 1998–2017, wherein there was a significant increase in potential evaporation. In contrast, reference stations did not exhibit statistically significant reversals in potential evaporation. The observed changes in potential evaporation at agricultural stations were primarily attributed to shifts in aerodynamic components. These changes were closely associated with the reversed changes in irrigation intensity, a consequence of the widespread adoption of water-saving irrigation practices since 1998.</p>","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"73 5","pages":"1913-1923"},"PeriodicalIF":1.6,"publicationDate":"2024-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140986794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}