Irrigation and Drainage最新文献

{"title":"Estimating the saturated hydraulic conductivity of the vadose zone with an automatic infiltration data logger for the BEST algorithm","authors":"Alireza Baqerkhani,&nbsp;Hamid Zare Abyaneh,&nbsp;Omid Bahmani,&nbsp;Hamed Nozari","doi":"10.1002/ird.2993","DOIUrl":"https://doi.org/10.1002/ird.2993","url":null,"abstract":"<p>Our study discusses the development and testing of an automated infiltration data logger device within the context of the Beerkan estimation of soil transfer parameters (BEST) algorithm. The main purpose of our study was to compare automated and manual data retrieval methods and their impact on the output results of the BEST algorithm. The device monitors the cumulative infiltration of water into the soil under a constant pressure water head, storing all relevant information. One notable advantage of this device is its ability to save electronic data. The device underwent a trial test at a farm in Kermanshah province, Iran. The BEST algorithm was used to calculate the saturated hydraulic conductivity using cumulative infiltration curves, and a comparison was made between the manual technique and the automated data logger infiltrometer method for extracting cumulative infiltration data. The average standard differences in the BEST algorithms between the manual method and the automated data collection method were 39% and 6%, respectively. An automated data logger infiltrometer offers benefits such as preventing soil surface disturbance, providing a constant water head for accurate calculations of hydraulic conductivity, improving measurement speed, reducing the time required for water penetration, enhancing data collection accuracy and not requiring a professional operator.</p>","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"74 1","pages":"128-138"},"PeriodicalIF":1.6,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143456075","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}

{"title":"Reasons of sprinkler freezing and rotational irrigation for frost protection in tea plantations","authors":"Qingmin Pan,&nbsp;Yongguang Hu","doi":"10.1002/ird.2995","DOIUrl":"https://doi.org/10.1002/ird.2995","url":null,"abstract":"&lt;p&gt;Sprinkler irrigation can effectively reduce the rate of frostbite on cash crop buds and young fruits. In this study, we propose applying the rotational irrigation method in frost protection to achieve water conservation, simplify the sprinkler system and expand the frost protection area. The freezing test of various sprinklers in a frosty environment (approximately −4.0°C) was conducted to determine the maximum duration of sprinkling cessation for the microsprinkler, butterfly-shaped sprinkler, impact sprinkler and MegaNet sprinkler. The results indicate that the butterfly-shaped sprinkler and impact sprinkler freeze after 4 and 3 min, respectively. In contrast, the microsprinkler and MegaNet sprinkler do not freeze even after 10.0 min. The temperature increase amplitude and rate of the microsprinkler are significantly greater. At an ambient temperature of −4.0°C, three areas were irrigated with microsprinklers. Each sprinkler had a rotation interval of 3.0 min of spraying followed by 6.0 min of stopping. This ensured that the canopy temperature was maintained at approximately −1.0°C. The water consumption was only one-third of that used in continuous sprinkler irrigation. This sprinkler irrigation method for frost protection is more water efficient than traditional continuous sprinkler irrigation and easier to operate and maintain than existing automatic sprinkler irrigation methods.&lt;/p&gt;&lt;p&gt;L'irrigation par aspersion peut réduire efficacement le taux d'engelures sur les bourgeons et les jeunes fruits des cultures commerciales Dans cette étude, nous proposons d'appliquer la méthode d'irrigation par rotation pour la protection contre le gel afin d'économiser l'eau, de simplifier le système d'aspersion et d'élargir la zone de protection contre le gel. L'essai de gel de divers asperseurs dans un environnement glacial (environ −4,0°C) a été effectué pour déterminer la durée maximale de l'arrêt de l'aspersion du micro-asperseur, de l'asperseur en forme de papillon, de l'asperseur à impact et de l'asperseur Méganet. Les résultats indiquent que l'asperseur en forme de papillon et l'asperseur à impact gèlent après 4 et 3 min, respectivement. En revanche, le micro-asperseur et le l'asperseur Méganet ne gèlent pas même après 10,0 min. L'amplitude d'augmentation de température et le taux du micro-asperseur sont nettement plus élevés. À une température ambiante de − 4,0°C, trois zones ont été irriguées avec des micro-asperseurs. Chaque asperseur avait un intervalle de rotation de 3,0 min de pulvérisation suivie de 6,0 min d'arrêt. Ainsi, la température du couvert était maintenue à environ −1,0°C. La consommation de l'eau ne représentait qu'un tiers de celle utilisée pour l'irrigation par aspersion continue. Cette méthode d'irrigation par aspersion pour la protection contre le gel est plus efficace en eau que l'irrigation par aspersion continue traditionnelle et plus facile à utiliser et à entretenir que les méthodes d'irrigation par aspersion automatiques ","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"74 1","pages":"139-147"},"PeriodicalIF":1.6,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455926","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}

{"title":"Learning from farmers' knowledge on participatory irrigation management using Q-methodology","authors":"George Kimbowa,&nbsp;Joshua Wanyama,&nbsp;Muhmoud Mukaya,&nbsp;Daniel Otim,&nbsp;Thomas Awio,&nbsp;Moses Mugisha","doi":"10.1002/ird.2991","DOIUrl":"https://doi.org/10.1002/ird.2991","url":null,"abstract":"<p>To sustain the performance of irrigation schemes, it is important to involve all stakeholders and enhance their management capacity. Using the Q-methodological approach, drivers of farmers' perceptions of the management of public irrigation schemes were explored, taking the Doho rice irrigation scheme as a case study. Thirty-nine male and female scheme farmers were selected from all 11 blocks based on the total number of Q-set items. For each participant, an after-Q-sort interview was conducted to verify the Q-sorting data. Farmers perceived that the establishment of a cooperative society, rehabilitation of the scheme and implementation of punishments for water-user fee defaulters are among the major factors in improving the performance of the scheme and thus the general increase in rice yield. However, there is a need to improve scheme performance by introducing new technology, capacity building through training and incentives. Based on the Q-sorting data analysis, four discourses were identified and summarized: (1) paying farmers; (2) disengaged farmers; (3) maintenance farmers; and (4) accountable farmers. All these factors contribute to key management challenges and thus to scheme performance. Local knowledge of the performance of existing schemes based on farmers' experiences is instrumental in guiding policy-making towards sustaining planned irrigation schemes and thus contributes to improved agricultural production and livelihoods.</p>","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"74 1","pages":"342-361"},"PeriodicalIF":1.6,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143456151","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}

{"title":"Transboundary aspects of agricultural water management","authors":"Ashwin B. Pandya","doi":"10.1002/ird.2998","DOIUrl":"https://doi.org/10.1002/ird.2998","url":null,"abstract":"","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"73 3","pages":"1225-1227"},"PeriodicalIF":1.6,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141536875","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}

{"title":"A practical and efficient approach to evaluating the irrigation water supply from electricity consumption: A case study in Siyang County, China","authors":"Yazhou Qin,&nbsp;Yansong Cui","doi":"10.1002/ird.2992","DOIUrl":"10.1002/ird.2992","url":null,"abstract":"<p>To facilitate agricultural water rights trading reform in China and improve the efficiency of agricultural irrigation, an effective and practical approach called the conversion coefficient from electricity consumption to irrigation water supply (CCECIWS) method is introduced in this study. Application of this method in Siyang County is meticulously investigated. First, four measurement strategies are employed for the precise estimation of the volume of irrigation water from agricultural irrigation water pumps (AIWPs) in Siyang County. Then, the CCECIWS data collected through on-site testing and the distribution pattern of the CCECIWSs of AIWPs are analysed, and the ranges of the CCECIWS values for different groups are delineated. Conjoint analysis is conducted to quantify the influence of two factors on the CCECIWSs. Finally, three regression models are developed and validated to predict the CCECIWSs for the remaining 60% of the total AIWPs, which are not tested on site. The prediction results show that the regression models have acceptable accuracy. The contribution of this research is the provision of a practical and efficient CCECIWS method to indirectly evaluate the irrigation water supply, saving both time and economic costs and laying the foundation for future research on this topic.</p>","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"74 1","pages":"362-374"},"PeriodicalIF":1.6,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141336406","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}

{"title":"Drip irrigation for sustaining high sugarcane (Saccharum officinarum) yield in marginally to moderately waterlogged saline vertisols of Karnataka, India","authors":"Rajkumar R.H.,&nbsp;Vishwanath J.,&nbsp;Annanagouda V. Karegoudar,&nbsp;Malharimartand J. Kaledhonkar,&nbsp;Anand S.R.,&nbsp;Anilkumar T. Dandekar,&nbsp;Raj Kumar Thakur","doi":"10.1002/ird.2990","DOIUrl":"10.1002/ird.2990","url":null,"abstract":"<p>In the Tungabhadra project command, subsurface drainage is used to reclaim waterlogged saline areas, but its adoption is lower due to its high cost and highly skilled in nature. Irrigation water management could sustain high cane yields in mildly affected areas. A field experiment was conducted on waterlogged saline vertisols with sugarcane crops using surface drip, subsurface drip and furrow irrigation with water application amounts of 0.8, 1.0 and 1.2 of evapotranspiration (ET). The subsurface drip at 1.2 ET resulted in more leaching of salts and a higher moisture content. Also it had the highest cane yield (131.0 t ha⁻¹), water productivity (WP) (8.30 kg m⁻³) and sugar WP (1.72 kg m⁻³) among the different methods. Among the irrigation levels, the 1.2 ET level had the highest cane yield (124.7 t ha⁻¹), lowest WP (6.89 kg m⁻³) and highest sugar WP (1.43 kg m⁻³). The highest benefit–cost ratio was recorded for the subsurface drip treatment. Depth to water table was greater for the subsurface drip treatment compared to the furrow treatment. Therefore, subsurface drip irrigation at 1.2 ET for sugarcane can act as a viable preventive measure for sustaining high cane yield in mildly waterlogged saline vertisols in the command.</p>","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"74 1","pages":"182-198"},"PeriodicalIF":1.6,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141360437","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}

{"title":"Yield prediction models for some wheat varieties with satellite-based drought indices and machine learning algorithms","authors":"Muhammed Cem Akcapınar,&nbsp;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>²) 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}

{"title":"Water requirement and single and dual crop coefficients of sesame cultivated in the coastal tablelands of Brazil","authors":"Julianna Catonio da Silva,&nbsp;George do Nascimento Araújo Júnior,&nbsp;Adolpho Emanuel Quintela da Rocha,&nbsp;Thieres George Freire da Silva,&nbsp;Iêdo Peroba de Oliveira Teodoro,&nbsp;José Wanderson Silva dos Santos,&nbsp;Márcio Aurélio Lins dos Santos,&nbsp;Iêdo Teodoro,&nbsp;Gustavo Bastos Lyra,&nbsp;Ceres Duarte Guedes Cabral de Almeida,&nbsp;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_c) and the sesame crop coefficient (<i>K</i>_c) 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_c and the <i>K</i>_c for the entire crop cycle. The ET_c was partitioned into transpiration (<i>T</i>) and evaporation (<i>E</i>), and the basal crop coefficients (<i>K</i>_cb) and soil evaporation coefficients (<i>K</i>_e) were subsequently estimated. The daily and cumulative ET_c 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, <i>T</i> was the main water flux (74%–80% of the ET_c). The mean values of <i>K</i>_c were similar for S1 (0.79) and S2 (0.75), and <i>K</i>_cb and <i>K</i>_e followed the same trend as <i>T</i> and <i>E</i>, respectively. The accumulated ET_c and <i>K</i>_c 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}

{"title":"Empirical models for calculating soil wetting patterns under surface drip irrigation systems: A comprehensive analysis","authors":"Ge Li,&nbsp;Weibo Nie,&nbsp;Yuchen Li","doi":"10.1002/ird.2982","DOIUrl":"10.1002/ird.2982","url":null,"abstract":"&lt;p&gt;Accurate estimation of the surface wetted radius (&lt;i&gt;R&lt;/i&gt;) and vertical wetted depth (&lt;i&gt;Z&lt;/i&gt;) 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 &lt;i&gt;R&lt;/i&gt; 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 &lt;i&gt;Z&lt;/i&gt; 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.&lt;/p&gt;&lt;p&gt;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 &lt;i&gt;quadratique&lt;/i&gt; 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}

{"title":"Optimizing irrigation for cactus (Opuntia ficus-indica) fodder production under drought conditions in Kerman, Iran","authors":"Hamid Najafinezhad,&nbsp;Mohmmad Ali Javaheri,&nbsp;Nader Koohi,&nbsp;Seid Zabihallah Ravari,&nbsp;Mohammad Reza Asgharipour","doi":"10.1002/ird.2979","DOIUrl":"https://doi.org/10.1002/ird.2979","url":null,"abstract":"&lt;p&gt;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&lt;sup&gt;−1&lt;/sup&gt;) and 2019 (112 and 8.97 t ha&lt;sup&gt;−1&lt;/sup&gt;). 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.&lt;/p&gt;&lt;p&gt;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 &lt;i&gt;fibre&lt;/i&gt; de détergent &lt;i&gt;acide&lt;/i&gt; (&lt;i&gt;ADF&lt;/i&gt;). 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}