Abstract:Meeting current needs without compromising future generations’ ability to meet theirs is the only path toward achieving environmental sustainability. As the most valuable natural resource, soil faces global, regional, and local challenges, from quality degradation to mass losses brought on by salinization. These issues affect agricultural productivity and ecological balance, undermining sustainability and food security. Therefore, timely monitoring and accurate mapping of salinization processes are crucial, es… Show more
“…Due to high salt concentrations in the soil, most cereal plants are subjected to salinity stress conditions, and the area of land affected by the increase in salinity is expanding daily. Accordingly, soil salinity is one of the most detrimental environmental factors affecting agricultural plant productivity and food security (Sahbeni et al, 2023;Shrivastava & Kumar, 2015). Consequently, it may be the most influential ecological factor in worldwide agricultural productivity and food security (Sahbeni et al, 2023;Schwabe et al, 2006).…”
Section: Introductionmentioning
confidence: 99%
“…Accordingly, soil salinity is one of the most detrimental environmental factors affecting agricultural plant productivity and food security (Sahbeni et al, 2023;Shrivastava & Kumar, 2015). Consequently, it may be the most influential ecological factor in worldwide agricultural productivity and food security (Sahbeni et al, 2023;Schwabe et al, 2006). Additionally, salinity is a significant hindrance to the growth of crop plants (Apse & Blumwald, 2002;Flowers, 2004;Munns & Tester, 2008;Witcombe et al, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, salinity is a significant hindrance to the growth of crop plants (Apse & Blumwald, 2002;Flowers, 2004;Munns & Tester, 2008;Witcombe et al, 2008). It also negatively impacts soil structure, nutrient availability, and plant growth, resulting in decreased cereal yields and, in extreme cases, desertification (Sahbeni et al, 2023;Shahid et al, 2018). Approximately one-third of all agricultural fields are becoming increasingly salinised, representing over a hundred countries with a wide range of climates (Khasanov et al, 2023).…”
The beach bean (Vigna marina) exhibits robust growth in habitats characterised by sandy substrates, limited nutrient availability, and elevated saline levels. The utilisation of V. marina, a potentially beneficial leguminous cover crop, allows for its cultivation in regions characterised by soil salinity, hence facilitating the alleviation of environmental stress and the promotion of nitrogen fixation within the soil. A study assessed the feasibility of V. marina as a leguminous cover crop, in which this legume was cultivated in both coastal and inland soils. Pueraria javanica and Mucuna bracteata, widely recognised as established leguminous cover crops, were used as the control in this experiment. The observations involved were total plant biomass, nitrogenase activity, and leaf chlorophyll content of the host plants. The experiment consisted of five replicates arranged in a randomised complete block design, respectively. The effects of commercialised rhizobial compost on the development of the leguminous plants planted in both plots were also investigated. The results indicated that V. marina flourished in coastal and inland soils with the highest leaf chlorophyll concentration throughout the eight weeks of growth. It showed that V. marina has the potential to outperform the other two established leguminous cover crops when planted in highly salinised soils. The results also showed evidence that V. marina was an excellent potential leguminous cover crop, especially for any agricultural plots of high salinity soils, compared to the other two well-established leguminous cover crops, P. javanica and M. bracteata.
“…Due to high salt concentrations in the soil, most cereal plants are subjected to salinity stress conditions, and the area of land affected by the increase in salinity is expanding daily. Accordingly, soil salinity is one of the most detrimental environmental factors affecting agricultural plant productivity and food security (Sahbeni et al, 2023;Shrivastava & Kumar, 2015). Consequently, it may be the most influential ecological factor in worldwide agricultural productivity and food security (Sahbeni et al, 2023;Schwabe et al, 2006).…”
Section: Introductionmentioning
confidence: 99%
“…Accordingly, soil salinity is one of the most detrimental environmental factors affecting agricultural plant productivity and food security (Sahbeni et al, 2023;Shrivastava & Kumar, 2015). Consequently, it may be the most influential ecological factor in worldwide agricultural productivity and food security (Sahbeni et al, 2023;Schwabe et al, 2006). Additionally, salinity is a significant hindrance to the growth of crop plants (Apse & Blumwald, 2002;Flowers, 2004;Munns & Tester, 2008;Witcombe et al, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, salinity is a significant hindrance to the growth of crop plants (Apse & Blumwald, 2002;Flowers, 2004;Munns & Tester, 2008;Witcombe et al, 2008). It also negatively impacts soil structure, nutrient availability, and plant growth, resulting in decreased cereal yields and, in extreme cases, desertification (Sahbeni et al, 2023;Shahid et al, 2018). Approximately one-third of all agricultural fields are becoming increasingly salinised, representing over a hundred countries with a wide range of climates (Khasanov et al, 2023).…”
The beach bean (Vigna marina) exhibits robust growth in habitats characterised by sandy substrates, limited nutrient availability, and elevated saline levels. The utilisation of V. marina, a potentially beneficial leguminous cover crop, allows for its cultivation in regions characterised by soil salinity, hence facilitating the alleviation of environmental stress and the promotion of nitrogen fixation within the soil. A study assessed the feasibility of V. marina as a leguminous cover crop, in which this legume was cultivated in both coastal and inland soils. Pueraria javanica and Mucuna bracteata, widely recognised as established leguminous cover crops, were used as the control in this experiment. The observations involved were total plant biomass, nitrogenase activity, and leaf chlorophyll content of the host plants. The experiment consisted of five replicates arranged in a randomised complete block design, respectively. The effects of commercialised rhizobial compost on the development of the leguminous plants planted in both plots were also investigated. The results indicated that V. marina flourished in coastal and inland soils with the highest leaf chlorophyll concentration throughout the eight weeks of growth. It showed that V. marina has the potential to outperform the other two established leguminous cover crops when planted in highly salinised soils. The results also showed evidence that V. marina was an excellent potential leguminous cover crop, especially for any agricultural plots of high salinity soils, compared to the other two well-established leguminous cover crops, P. javanica and M. bracteata.
“…Despite their easy accessibility, these data sources often exhibit drawbacks like low spatial ( Tan et al., 2023 ) and spectral resolution alongside lengthy revisit periods ( Fan et al., 2021 ). While the lower spatial resolution and longer revisit period are advantageous for soil salinity detection across vast regions ( Sahbeni et al., 2023 ), precision agriculture requires a method apt for monitoring soil salinity in smaller areas. Conversely, traditional multispectral imagery, due to fewer bands, covers a limited spectral range.…”
Secondary salinization is a crucial constraint on agricultural progress in arid regions. The specific mulching irrigation technique not only exacerbates secondary salinization but also complicates field-scale soil salinity monitoring. UAV hyperspectral remote sensing offers a monitoring method that is high-precision, high-efficiency, and short-cycle. In this study, UAV hyperspectral images were used to derive one-dimensional, textural, and three-dimensional feature variables using Competitive adaptive reweighted sampling (CARS), Gray-Level Co-occurrence Matrix (GLCM), Boruta Feature Selection (Boruta), and Brightness-Color-Index (BCI) with Fractional-order differentiation (FOD) processing. Additionally, three modeling strategies were developed (Strategy 1 involves constructing the model solely with the 20 single-band variable inputs screened by the CARS algorithm. In Strategy 2, 25 texture features augment Strategy 1, resulting in 45 feature variables for model construction. Strategy 3, building upon Strategy 2, incorporates six triple-band indices, totaling 51 variables used in the model’s construction) and integrated with the Seagull Optimization Algorithm for Random Forest (SOA-RF) models to predict soil electrical conductivity (EC) and delineate spatial distribution. The results demonstrated that fractional order differentiation highlights spectral features in noisy spectra, and different orders of differentiation reveal different hidden information. The correlation between soil EC and spectra varies with the order. 1.9th order differentiation is proved to be the best order for constructing one-dimensional indices; although the addition of texture features slightly improves the accuracy of the model, the integration of the three-waveband indices significantly improves the accuracy of the estimation, with an R2 of 0.9476. In contrast to the conventional RF model, the SOA-RF algorithm optimizes its parameters thereby significantly improving the accuracy and model stability. The optimal soil salinity prediction model proposed in this study can accurately, non-invasively and rapidly identify excessive salt accumulation in drip irrigation under membrane. It is of great significance to improve the growing conditions of cotton, increase the cotton yield, and promote the sustainable development of Xinjiang’s agricultural economy, and also provides a reference for the prevention and control of regional soil salinization.
“…Soil salinity is a critical constraint that significantly hinders agricultural productivity globally and within the context of Morocco [ 1 ]. Several research findings indicate that soil salinity affects a significant proportion, estimated to range between 40% and 45%, of arable land worldwide, leading to substantial economic losses [ 2 , 3 ].…”
Understanding the response of date palm (Phoenix dactylifera L.) cultivars to salt stress is essential for the sustainable management of phoeniculture in Tafilalet, Morocco. It offers a promising avenue for addressing the challenges presented by the increasing salinity of irrigation waters, especially because farmers in these regions often lack the necessary knowledge and resources to make informed decisions regarding cultivar selection. This study addresses this issue by investigating the performance of the most relied on cultivars by farmers in Tafilalet, namely Mejhoul, Boufeggous, Nejda, and Bouskri. These cultivars were exposed to a sodium chloride treatment of 154 mM, and their performances were evaluated over a three-month period. We examined the growth rate, photosynthesis-related parameters, pigments, water status in plants, and biochemical compounds associated with oxidative stress, osmotic stress, and ionic stress. Principle component analysis (PCA) effectively categorized the cultivars into two distinct groups: salt-sensitive (Mejhoul and Nejda) and salt-tolerant (Boufeggous and Bouskri). These findings provide valuable insights for farmers, highlighting the advantages of cultivating Boufeggous and Bouskri cultivars due to their superior adaptation to salt conditions. These cultivars exhibited moderate decrease in shoot growth (25%), enhanced catalase activity, a smaller increase in anthocyanin content, and greater enhancement in organic osmolytes compared with salt-sensitive cultivars like Mejhoul (experiencing an 87% reduction in shoot elongation) and Nejda (exhibiting the highest reduction in leaf area). Furthermore, the Na+/K+ ratio was positively influenced by salt stress, with Mejhoul and Nejda recording the highest values, suggesting its potential as an indicator of salt stress sensitivity in date palms.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.