Growing Crops in Arid, Drought-Prone Environments: Adaptation and Mitigation

Sisto, Nicholas P.; Severinov, Sergei; Manrique, Gilberto Aboites

doi:10.3390/hydrology9080129

Cited by 3 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, intensive farming of perennial crops (e.g. asparagus, pecans) in semi‐arid regions, such as in north‐western Mexico, requires 1500–2200 mm of water to maximize production (Rathore et al, 2021; Sisto et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Irrigation optimization in green asparagus (Asparagus officinalis L.) using the AquaCrop model and evolutionary strategy algorithms

Cruz‐Bautista

López‐Cruz

Ochoa‐Meza

et al. 2023

Irrigation and Drainage

View full text Add to dashboard Cite

Appropriate irrigation water management has attracted considerable attention because it is crucial to guarantee water and food security worldwide. This study aims to solve a water usage optimization problem for asparagus farming using the Deficit Irrigation Toolbox (DIT) optimization tool and AquaCrop‐OS model. Seven irrigation strategies were planned to assess the yield response of asparagus spears in the region near Caborca, Sonora, Mexico. Three of them were defined according to the usual practices of conventional irrigation, and the other four involved the optimization approach. Crop water productivity responses to 750, 1000, 1250 and 1500 mm of supplied water for the crop growing season were generated and assessed for each strategy. Using the irrigation optimization strategy, which involved a defined decision table using the covariance matrix adaptation evolutionary strategy, resulted in increased water productivity, making it the best solution to the optimization problem. A spear yield of 11.3–12.1 t ha−1 was obtained using an irrigation depth of 1200 mm, thus resulting in a reduced irrigation depth of 580–615 mm (>30%) for the 2019 growing season and 130–165 mm (±10%) for the 2020 growing season. The novelty of the study is that by formulating a dynamic optimization problem using the AquaCrop‐OS model and DIT, it is demonstrated that the water currently used for irrigation of asparagus crops can be reduced by up to 30%.

show abstract

Section: Introductionmentioning

confidence: 99%

Irrigation optimization in green asparagus (Asparagus officinalis L.) using the AquaCrop model and evolutionary strategy algorithms

Cruz‐Bautista

López‐Cruz

Ochoa‐Meza

et al. 2023

Irrigation and Drainage

View full text Add to dashboard Cite

show abstract

“…Drought is one of most significant natural phenomena threatening agricultural production (Iqbal et al., 2022; Lesk et al., 2016). Agricultural production should be carried out by taking a series of measures to provide sufficient food for the growing population in drought conditions (Sisto et al., 2022). Irrigation is the most important input parameter in providing sufficient yield in agricultural production against drought (Xing et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Drought resistance, quality characteristics and water‐yield relationships of some wheat (Triticum aestivum L.) lines and varieties

Gokkuş,

Dumlupinar,

Degirmenci

2023

J Agronomy Crop Science

View full text Add to dashboard Cite

The aim of this study was to determine the drought tolerance of four different genotypes, including two wheat varieties (Ceyhan 99 and Sagittario) and two wheat lines (Zdeb101 and Zdeb102), and create irrigation schedules. This study was performed with treatments applied at three irrigation levels (S100: treatment where the entire water need of the plant was met, S50: 50% of the water provided in the S100 treatment, S0: Rainfed), with four genotypes and four replications in a split‐plot design in Kahramanmaras East Mediterranean Transitional Zone Agricultural Research Institute in 2019 and 2020. The Ceyhan 99 and Sagittario varieties, which are widely cultivated in the region and the Zeb101 and Zdeb102 lines that are candidates for varieties were used in the study. In the study, 217.1 and 213.77 mm of water was given to S100, 108.54 and 106.88 mm of water was given to S50, and no irrigation was provided to S0 in 2019 and 2020, respectively. The effects of different irrigation levels on yield, water use efficiency (WUE), irrigation water use efficiency (IWUE), protein content and wet gluten content were investigated. At the end of this study, seasonal evapotranspiration (ET), irrigation water and yield decreased from S100 to S0. WUE, IWUE and yield response factor (Ky) values showed different trends in both years. There was no significant difference in yield between the varieties. However, in the stress susceptibility index (SSI) analyses of the genotypes, it was found that the most drought‐tolerant genotypes were Zdeb102 (0.50) and Ceyhan 99 (0.54). The highest protein content and wet gluten content were found as 11.38% and 22.24% in the Sagittario variety, respectively. It is recommended that Zdeb102 and Ceyhan 99 be cultivated in regions such as Kahramanmaras which have semi‐arid climate characteristics in the Mediterranean.

show abstract

Policy analysis for informing climate adaptation, environmental resilience, and irrigation demands in the Rio Grande Basin

Idhirij,

Ward

2024

Journal of Environmental Management

View full text Add to dashboard Cite

Growing Crops in Arid, Drought-Prone Environments: Adaptation and Mitigation

Cited by 3 publications

References 9 publications

Irrigation optimization in green asparagus (Asparagus officinalis L.) using the AquaCrop model and evolutionary strategy algorithms

Irrigation optimization in green asparagus (Asparagus officinalis L.) using the AquaCrop model and evolutionary strategy algorithms

Drought resistance, quality characteristics and water‐yield relationships of some wheat (Triticum aestivum L.) lines and varieties

Policy analysis for informing climate adaptation, environmental resilience, and irrigation demands in the Rio Grande Basin

Contact Info

Product

Resources

About