Plant Emergence Research Articles

An integrated assessment method of real-time source term for high temperature gas-cooled reactor

To address high temperature gas-cooled reactor (HTR) nuclear power plant (NPP) safety analysis and emergency response, this paper proposes an integrated source term assessment (ISTA) method, guided by the principles of reality, rapidity and rationality. The fundamental concept of ISTA is to establish a connection between the theoretical model of source term (ST) calculation and actual conditions of HTR NPPs. According to the ISTA method, STs can be evaluated by mapping key parameters through monitoring variables during any abnormal operational conditions or accident conditions, resulting in a more realistic representation. Furthermore, the output of STs in various typical spaces within an HTR NPP further expands the application scope beyond the development of nuclear emergency protection strategies. In addition, a corresponding tool (ISTAT) for engineering application is developed and the case is given to verify the feasibility. This research highlights the technological advancement affecting radiological release scenarios and avoiding unnecessary conservatism, which also can give reference for other advanced reactor NPPs.

Evaluation of different fertilizer sources for sustainable carrot production in Tehuledere district, northern Ethiopia

The demand for organic agriculture has been growing due to concerns about the environmental and health impacts of chemical-intensive farming. The study aimed to investigate the effects organic fertilizers on carrot (Nantes) growth and yield in Tehuledere district. The experiment was conducted at two sites (Gobeya and Libannos) using four fertilizer types (vermicompost, conventional compost, mixture of the two, and inorganic fertilizer) and a control. The experiment was laid out in randomized complete block design with three replications, and data were analyzed using R-software. The study analyzed various growth (emergence percentage, plant height, leaf number, fresh weight, and dry weight of leaves), and yield (root length, root diameter, fresh weight of roots, marketable root yield, unmarketable root yield, and total root yield) parameters. Generally, fertilizer application improved (p < 0.001) growth and yield compared to the control. Vermicompost and inorganic fertilizer (NPSB) showed similar results (p > 0.001) but the highest values (p < 0.001) for most of the parameters (marketable yield was 41.7 t/ha±0.76 for vermicompost and 42.5 t/ha±1.14 for NPSB). However, NPSB could pose negative environmental impact that could not result in sustainability if used in excess and inappropriate (method and time) in particular. Therefore, carrot production using vermicompost is recommended for farmers of Tehuledere district and similar agroecological areas to enhance productivity while contributing to sustainable agriculture. The results have implications for policy makers, researchers, and farmers interested in promoting environmentally friendly and sustainable carrot production.

Effect of potassium nitrate, licorice extract and planting date on field emergence and growth of maize (Zea mays L.) in spring season

Low temperature and high relative humidity in the spring season led to decrease of field emergence ratio and growth in maize. Planting dates and seeds stimulation can be appropriate fix. Field experiment was conducted in the two spring seasons of 2022 and 2023. Randomize complete block design with split-plot arrangement and four replications was used. Planting date treatments (February 15th, March 1st and 15th and April 1st, 15th) were placed in main plots. Seeds stimulation treatments (potassium nitrate 6 mg L−1 + licorice extract 6 g L−1 as well as treatment of soaking with distilled water only) were placed in subplots. Seeds stimulation (potassium nitrate+licorice extract) or planting date of February 15th were superior at traits of field emergence ratio, days to 75% tassel and silk, days to physiological and full maturity, leaf area index, plant dry weight and crop growth rate in both seasons. Interaction treatment of stimulation (potassium nitrate+licorice extract) and planting date of February 15th excelled at traits above (86.2 and 86.9%), (87.0 and 86.0 day), (91.2 and 91.0 day), (113.5 and 110.0 day), and (113.5 and 110.0 day), respectively. It can be concluded that seed stimulation contributes to enhancing plant growth in adverse conditions in the spring season by increasing the field emergence ratio and plant growth rate over a wide range of environmental conditions. Determining the appropriate planting date contributes to utilizing the prevailing environmental conditions and raising the efficiency of metabolic processes in increasing plant dry weight. Also, using natural materials to stimulate seeds to withstand adverse conditions, which boosts the concept of sustainable agriculture. It can be recommended soaking the seeds with potassium nitrate+licorice extract when planting in the spring season.

Determination of the Effects of Different EMS Doses Applied to Seeds of Chickpea and Lentil Varieties on Some Seedling Characteristics

In this study, it was aimed to determine the effects of 11 different doses of Ethyl Methane Sulphonate (EMS) applied to the seed to create variation in the M1 generation of chickpea (Gökçe) and lentil (Şakar) genotypes during germination and seedling development periods and to determine the lethal dose that caused a 50% reduction in plant emergence rate. The research was conducted under the greenhouse and laboratory conditions of the Faculty of Agriculture of Dicle University in 2019/2020. The study was conducted according to a randomized block design with three replicates. For the M1 generation, seeds of each genotype in the elite stage were treated with EMS solution at 0 (control), 10, 20, 30, 40, 40, 50, 60, 60, 70, 70, 80, 90, and 100 mM (1000 seeds for each dose) and then sown in the greenhouse. A total of 132 tubes were sown with 30 seeds for each dose, and the effective EMS dose was determined for each genotype based on the traits examined in the developing seedlings. In the study, it was concluded that 11 different EMS doses applied to the seeds of chickpea and lentil varieties had negative effects on seedling development in the M1 generation, and increasing EMS doses from the control caused a decrease in all traits examined. With increasing EMS doses, plant emergence was observed in both chickpea and lentil up to 60 mM dose, while no germination was observed at 60 mM dose, and the dose rate varied according to species and varieties. The dose that caused a 50% decrease in the plant emergence rate in Gökçe chickpea and Şakar lentil varieties was determined as the LD50 dose. Accordingly, it was determined that the LD50 dose was 30 mM for Gökçe chickpea variety and 60 mM for Şakar lentil variety.

Improving cotton yield and fiber quality in different tropical soils with boron fertilization

AbstractCotton (Gossypium hirsutum L.) is responsive to boron (B) fertilization when there is low soil availability, but the best source and rate to be used and whether this response is dependent on soil texture are still unknown. This study aimed to adjust boron fertilization for cotton as a function of the production environment and B source used. Two field experiments were conducted in the 2020/2021 season in Chapadão do Sul, MS (clayey soil—adequate B content) and Dracena, SP (sandy soil—low B content), Brazil. Treatments consisted of B sources (ulexite [low solubility], borax pentahydrate [BP] [intermediate solubility], and boric acid [BA] [high solubility]), and B rates (0, 1, 2, 4, and 6 kg ha−1) applied to the soil at 25 days after plant emergence. In sandy soil with low B content, application of 2 (high and medium solubility sources) and 4 kg B ha−1 (low solubility source) improved fiber yield between 10% (210 kg ha−1 fiber) and 28% (555 kg ha−1), respectively, as well as micronaire index, strength, elongation, uniformity, and short fibers. Application of B greater than 4 kg ha−1 via soluble sources reduced (between 9% (175 kg ha−1)—BP and 14% (257 kg ha−1)—BA) fiber yield only in sandy soil. When B content in the soil is adequate, B fertilization did not improve yield, but increased fiber strength (4%—1.1 g tex−1) and reduced the short fiber index (16%) by applying 1 kg B ha−1, regardless of the source used. The highest fiber yields were obtained with leaf B contents between 12 and 17 mg kg−1 (sandy soil) and 25 and 27 mg kg−1 (clayey soil). We recommend applying 2 kg B ha−1 (solubility sources) and 4 kg B ha−1 (low solubility source) in sandy soils with low B content to improve yield and fiber quality, and 1 kg B ha−1 in clayey soil with adequate B content to improve fiber quality and replace B amounts removed through harvesting.

An investigation into the potential for upward range expansion in high-montane species on the roof of the world.

Climate warming is occurring in high-mountain areas at a faster rate than the global average. To escape the increasing temperatures, alpine species may shift in distribution upwards, threatening cold-adapted nival plant specialists. However, little is known about the success of seedling emergence and establishment at high altitudes outside the current range, particularly in the highest mountain areas of the Himalayas. We selected four native alpine species occurring around 4000 m a.s.l. and sowed seeds at the natural growing site (GS), at a high elevation site (HS; 5000 m a.s.l.) and at high elevation with soil from the growing site (HS-S) in the Khumbu Valley, north-eastern Nepal. We monitored seedling emergence and establishment for two consecutive years. Seedling emergence and establishment varied between species. Emergence was similar between GS and HS and improved at HS-S. Establishment was low at high elevations with all but one species having high mortality after winter. Seedling emergence of low elevation plants is possible at high elevations in the Everest region, indicating species may be able to shift their distribution range upwards. However, successful establishment may be limited by the soil and high winter mortality at high elevations, although not in all species. Climate warming will potentially lead to upward migration of some Himalayan plant species, leading to altered community composition in high-mountain areas.

광역 스펙트럼 혁명(Broad-Spectrum Revolution)과 홀로세 초기의 작물 재배

This study attempts to understand the role of Broad-Spectrum Revolution (hereafter, BSR) in the Neolithic East Asia, especially focusing on the China, Japanese archipelago, and Korean peninsula. This paper also tried to reveal how BSR and the initial beginning of plant domestication are related in those contexts. Initially introduced in 1969 by Kent Flannery, the concept quickly became a powerful explanatory tool for understanding prehistoric human subsistence strategy and emergence of both plant and animal domestication. BSR has been often conjoined with theoretical frameworks such as diet-breath model based on optimal foraging theory and environmental niche construction to explain prehistoric subsistence pattern. In this study, I tried to synthesize recent evidence regarding Neolithic subsistence generated from advanced techniques including organic residue analysis and paleoethnobotany. The results indicated that BSR was clearly found at least in some part of East Asia, and some of them showed evidence of initial plant domestication. With this study, we were able assume affinity between BSR and the beginning of plant domestication in certain area of East Asia.

Comprehensive study on air-quality impacts from chemical plant flare emissions under planned or emergency shutdown operations†

Chemical plant shutdown (CPS) operations will employ a flare system to combust waste, unwanted, and off-spec gases dumped from process units to protect the plant safety and the local community. However, the incomplete combustion of flare source under CPS operations including plant planned shutdown (PPS) and plant emergency shutdown (PES) will cause considerable air pollution events. Hitherto, quantitative studies on both primary (CO and NO2) and secondary (ozone) pollutant impacts induced by CPS flaring are still lacking. In this paper, the dynamic effect of flare emissions from two types of CPS (PPS and PES) on ambient air-quality impacts will be systematically and quantitatively studied. The study integrates the dynamic process simulation via Aspen Plus Dynamics with the regional air-quality modelling via Comprehensive Air-quality Model with extensions (CAMx). Case studies indicated that the primary pollutants from flare emissions will be significantly diluted due to the atmospheric transportation, and the maximum concentrations of CO and NO2 can respectively reach 119.0 and 11.0 ppb under PPS, and 47.5 and 4.5 ppb under PES. Meanwhile, the increasing height of the flaring stack will decrease CO and NO2 concentrations but increase the ozone concentration under CPS. Furthermore, CPS in daytime periods will greatly promote ozone generations due to the enhanced photochemical reactions under solar radiation. The maximum 1-hr and 8-hr ozone increment can be 16.6 and 7.1 ppb under PPS while 10.7 and 3.3 ppb under PES, respectively. Besides, the decreasing of flare destruction and removal efficiency will increase ozone and CO under PES.

Collecting and Organizing the Influencing Factors of Team Communications to Handle Nuclear Power Plant Emergencies

A nuclear power plant (NPP), as a complex safety-critical system, requires qualified operators working in teams. Interactions between operators in the main control room (MCR) team are important to ensure safe operation. Since communication is the basis of the operators’ interactions, team communication is a significant factor affecting teamwork performance. Especially during NPP emergencies, poor team communication may lead to incorrect decisions and countermeasures, causing deterioration toward accidents. Moreover, in an emergency situation, emergency response teams are assembled. This multi-team and critical work condition further emphasizes the need for effective and accurate team communication. We collected the factors influencing team communication in NPP emergencies using a literature review combined with text mining. Our method for extracting the influencing factors consists of four steps; then, by applying topic modeling from text mining, we complemented the influencing factors. The resulting list of influencing factors of team communications for handling NPP emergencies is organized into five elements: individual, team, communication, NPP tasks, and external elements. Discussions on the team communication model, applicability, communication errors, and emergency response teams are also presented.

Exploring LSTM-based prediction for radioactive plume atmospheric dispersion in nuclear power plant emergencies: A preliminary study

During severe nuclear accidents at Nuclear Power Plants (NPPs), it is essential to predict the dispersion of radioactive plumes using atmospheric models for informed decision-making and protection of people near affected areas. However, forecasting Atmospheric Radionuclide Dispersion (ADR) requires intricate and time-consuming physical simulations. Therefore, this study delves into the exploration of Long Short-Term Memory (LSTM), a Deep Learning model renowned for its proficiency in handling sequence and time series data, to anticipate the trajectory of the maximum whole-body dose rate coordinates over time. The investigation utilizes data derived from the ADR simulator of a Brazilian Pressurized Water Reactor (PWR), incorporating genuine meteorological data records from the NPP's vicinity to simulate the radioactive plume dispersion under hypothetical severe accident scenarios. The investigation yielded an LSTM model capable of forecasting the movement of the maximum whole-body dose rate coordinates at (t + 1) time steps. This developed LSTM model presented a Mean Absolute Error (MAE) of 6.331 when evaluated against a simulated test dataset.

Estrés hídrico en el crecimiento y rendimiento de cultivares comerciales de papa (&lt;i&gt;Solanum tuberosum&lt;/i&gt; L.) en la región centro del Perú

Potato (Solanum tuberosum L.) is a crop of great importance worldwide due to its high nutritional value and its adaptability to different climatic conditions. In Peru, it is one of the main crops in terms of production and consumption, with Junín being one of the departments with the highest production. The aim of this research was to evaluate the effect of water stress on the growth and yield of commercial potato cultivars. Four irrigation frequencies (field capacity, every 7, 14 and 21 days) and five commercial potato cultivars (Canchán, Yungay, Wankita, Serranita and Shulay) were evaluated, distributed in a completely randomized design with a 5x4 factorial arrangement, with five replications. It was installed under greenhouse conditions and seven variables (plant emergence, plant height, number of stems, number and weight of tubers, transpiration rate and dry matter) were evaluated. The results showed statistical differences in all the variables evaluated. It was found that the Canchán cultivar with irrigation frequency every 21 days was more tolerant to drought with an average rate of 0.69 ml, the maximum permissible irrigation limit in greenhouse is every 14 days. The highest number of tubers was observed in the Wankita cultivar with 29.8 tubers under a drought stress of 14 days. The highest tuber weight was obtained with the Yungay cultivar at field capacity with 0.438 kg per plant. It is concluded that water stress influences potato growth and production.

Effects of fall-spring cement applications on soil physico-mechanical quality of seed bed and seedling emergence.

The physico-mechanical quality of the seed bed is extremely important not only for the soil air-water dynamics, but also for the germination, seedling emergence, and development of the plants. The crust layer formed after precipitation and irrigation in soils with poor structural properties is among the most important indicators of the lower seedbed quality. While there are different applications to increase the physico-mechanical quality of the seedbed, there are also cement applications that provide rapid aggregate formation and stability. The effects of cement application on the soil mechanical quality and seedling emergence of clay textured soil with poor structural characteristics were investigated in the present study. For this purpose, a total of 36 small plots with a size of 2.4 m2 were created. Cement was applied at 0.25-0.5-1 and 2% doses to 18 plots in the fall period, and to the other 18 plots in the spring period. After the treatment, soil samples were taken for analysis before the planting period and the number of seedling emergence was determined by planting the bean plant during the planting period. According to the results of the study, it was found that cement applied in two periods caused an increase in soil aggregate stability, decreased penetration resistance, modulus of rupture, and dispersion rate, and increased water holding capacity to a limited extent. On the other hand, cement application also had positive impacts on the emergence of the bean plant. The 1% dose of the spring application of cement was more effective on the determined soil structural characteristics and seedling emergence.

Corn Plant Counting Using Deep Learning and UAV Images

The adoption of new technologies, such as unmanned aerial vehicles (UAVs), image processing, and machine learning, is disrupting traditional concepts in agriculture, with a new range of possibilities opening in its fields of research. Plant density is one of the most important corn (Zea mays L.) yield factors, yet its precise measurement after the emergence of plants is impractical in large-scale production fields due to the amount of labor required. This letter aims to develop techniques that enable corn plant counting and the automation of this process through deep learning and computational vision, using images of several corn crops obtained using a low-cost unmanned aerial vehicle (UAV) platform assembled with an RGB sensor.

Liming application rates and plant population on the performance of groundnut (Arachis hypogaea L.) in humid rainforest

Confectionary groundnut production is limited by soil acidity in southern Nigeria. This study attempted an improvement of soil quality by limiting pH adjustment to tolerable levels. The influence of lime rates and plant spacing on the yield indicators of groundnut (Arachis hypogaea L.) in Calabar, South Eastern Nigeria was evaluated to portend the best suitable rates for groundnut production. A 4 × 3 factorial in randomized complete block design, 4 lime rates (0, 0.5, 1.0, and 1.5 t/ha), 3 planting distances (30 × 30, 30 × 50, and 25 × 50 cm) with three replications were analyzed by two-way analysis of variance and Fisher’s least significant difference at 5% probability level. Plant spacing and lime application significantly increased growth as well as yield contributing factors of groundnut. The highest percentage of seedling emergence (95.22) and tallest plants were observed with a lime rate of 1.5 t/hailed at 30 × 30 and 25 × 50 cm were statistically similar (p &gt; 0.05) but greater (p &lt; 0.05) than yield from 30 × 5 cm spaced groundnut. Lime applied at 0.5 to 1.5 t/ha had a statistically similar yield, higher than control. The results recommend that liming at the rate of 1.0 t/ha is beneficial for groundnut cultivation in Calabar.

Yield Response of Chick Pea (Cicer arietinum L.) Varieties to NPS Fertilizer

Low soil fertility status and reduced biological nitrogen fixation are some of the major constraints in limiting chickpea yield. Thus, an experiment was conducted with the objective of assessing the effect of blended NPS fertilizer rates on the yield and yield components and economic advantages of chickpea varieties. The experiment was done using randomized complete block design with five NPS rates (0, 50, 75, 100 and 125 kg ha-1) and three chick pea varieties (Arerty, Shasho and Teketay) in three replications. The result showed that the main effect of variety had significant effect on days to 50% flowering, days to maturity, plant height, population at harvest, number of secondary branches, number of pods per plant, number of seed per pod, 100 seed weight, biological yield, grain yield and harvest index. Application of NPS significantly influenced number of pod per plant, biological yield, grain yield and harvest index. In addition, the pooled effect of the two factors showed highly significant differences on days to 50% germination, population at emergence and primary plant branches. Hence, Arerty variety showed an increased yield throughout the applied rates and attained its highest yield (3166.70 kg) at 125 kg ha-1 NPS applied along with the highest profit gaining. Shasho variety also showed a positive yield response at all treated plots as compared to the control; but attained maximum yield (2861 kg ha-1) at 100 kg ha-1 NPS applied. However, maximum profit was attained at rate of 75 kg ha-1 NPS. Teketay variety attained highest yield (3138.70 kg ha-1) at 100 kg ha-1 NPS applied; however its highest benefit to cost ratio (1.73) with highest economic benefit was reached at 50 kg ha-1 NPS applied. Thus, based on results obtained from this study, it can be concluded that using 100kg, 75kg and 50kg of NPS fertilizer ha-1 application for Arerty, Shasho, and Teketay varieties respectively improved productivity of chickpea with economically significant amount at the vicinity of the research area.

Determination of Effects the Different Holes Position in the Vacuum Discs of Pneumatic Precision Vegetable Planters on Emergence and Uniform Plant Distribution in Black Carrot Production

The objective of this study was to determine the seed releasing characteristics of seed metering discs used in the precision seeding of black carrot seeds. High precision vegetable seeder was tested in the field conditions using black carrot seeds in Kuzukuyu village of Ereğli-Konya in 2018. Three different seed metering discs that have holes in three different circle positions were used in the experiments. These applications referred to seeding techniques, ST1, ST2 and ST3. The seed metering discs with three trajectories, each diameter was 210, 185, and 155 mm respectively. Each trajectory on vacuum plate using in ST1 had equal number of holes (96 holes), while P1 and P2 hole positions had same number of holes in ST2 ve ST3, however, 25% and 50% decrease in the number of holes in the P3 (bottom hole position), respectively. The downforce on the press wheel was kept constant throughout all trials. In these three different seeding techniques, the planting performance of the machine under field conditions was evaluated and the coefficient of variation values expressing the seed distribution uniformity, mean of the emergence rates were determined. According to the results, the mean of emergence rates and coefficient variation values were determined as %59.86 ve %76.84, %68.91 ve %75.31, %66.26 ve %72.48for ST1, ST2 ve ST3, respectively. Given hole positions (planting rows), emergence rates and CV values were obtained %59.71 ve %81.94 for P1, %62.69 ve %74.49 for P2 and %72.60 ve %68.20 for P3.

Data on the pioneer vegetation of the Lake Velence

Lake Velence is one of Hungary's largest saline lakes. Part of its natural dynamics is that certain parts of the lake bed regularly dry out, providing pioneer surfaces suitable for the emergence of plants of the mudflats and drying (saline) ponds. During the particularly dry year of 2022, the water level was per­manently and significantly low, allowing to study the vegetation of the dry lake bed. In the first half of the last century, the natural vegetation of the lakeshore (including salt steppes) was studied, but there are very few records of the pioneer species of the lake bed. The salt steppes around the lake have now largely declined, but due to low water levels, some of their characteristic species are still present in the lake bed (though, usually in low number of individuals). Examples include Crypsis aculeata, Cyperus pannonicus, Suaeda pannonica, the once abundant Suaeda prostrata, and the previously rare Crypsis schoenoides and Spergularia salina. Spergularia maritima was once widespread but currently not found in the lake bed. Although, Schoenoplectus litoralis is not a member of the ephemeral vegetation, but is a characteristic plant of the littoral zone of Lake Velence. This species probably appeared therein the middle of the last century and is currently spreading.

Evaluation of the Agronomic Performances of a Promising Peanut Variety from the Research Environment (Flower 11) and a Local Variety (Sudanese) under the Agro-Ecological Conditions of the Bagarine Community Learning Center

This study aims was to evaluate a promising peanut variety from the research environment (ITRAD, Fower 11) and a local variety (Sudanese) under the agro-ecological conditions of the Bagarine site. The experimental design was a randomized complete block (Fischer Block) with 3 replications implemented in four sites (Abeche, Amleyouna, Abougoudame and Adre). During the 2019-2022 agricultural campaign, varieties of improved peanut seeds presented a very good emergence rate and then a Fisher device was adopted. The results obtained showed that with regard to the vegetative parameters, the improved variety flower 11 recorded a satisfactory and superior emergence rate, plant height and collar diameters compared to the local variety (Sudanese) which is therefore revealed to be less efficient. Regarding production parameters, the improved variety Flower 11 presented satisfactory yields of pods, seeds and biomass than that of the local variety. Observations focused on peanut kernels and biomass yields. This analysis using a partially nested model were applied to evaluate the differences between returns, the effect of each factor (variety, repetition, site and year) and their interactions. Site and variety effects were significant for peanut seed production of two types compared during the 2019-2022 agricultural season. We recommend to those responsible for the integrated resilience project to popularize this variety in the project intervention area and to future researchers to conduct the same trial in other sites in the province with an organic soil amendment.

THE SKYLINE OF PALEOPEDOLOGY

Paleopedology is a booming scientific discipline that studies the soils of the past geological epochs in order to assess the paleoenvironmental evolution. The scope of paleosol studies embraces not only soils themselves, but also the products of their involvement in biogeosphere cycles. This ensures the planetary role of pedogenesis, which includes the transformation of the upper layers of the lithosphere including the increase in fine earth, new minerals, residual or accumulative concentration of elements. In the geological history of the Earth, pedogenesis is realized within the framework of exogenesis, which includes weathering, soil formation, sedimentation, diagenesis, and geochemical migration. The pedolithosphere records the critical points in the landscape evolution of the Earth from the very onset of the geological record, including the oxygenation of the atmosphere, the emergence of the higher plants and herbaceous biomes, the dynamics of interglacialglacial cycles, etc. Paleosols are the base for paleogeographic reconstructions and predictive models of the future climate change. Paleopedology expands the horizons of soil science within the system of biogeosphere sciences and determines the development of new scientific disciplines - bacterial paleontology, paleogeochemistry, biogeomorphology, astropedology, geoarchaeology, ecological paleopedology, soil paleocryogenesis and the cryobiosphere studies. The historical dimension granted by paleopedology makes pedology a mature historical science.

Synergistic use of proximally sensed and time series remotely sensed imagery to map soil sodicity

Soil sodicity can cause crusting in the topsoil which impedes water infiltration, and erosion in the subsoil owing to instability. These can impose constraints to sugarcane growth in the form of reduced plant emergence and root extension. To improve soil capability, a map of topsoil (0–0.15 m) exchangeable sodium percentage (ESP) can be used to determine the amount of gypsum required to ameliorate soil condition. Herein, a digital soil mapping (DSM) approach was used to map top- and subsoil (0.3–0.45 m) ESP. To do this, we first examined prediction agreement of a calibration model between digital data and ESP, first comparing individual use of remotely sensed time series imagery (i.e., Sentinel-2 and Landsat-8) or proximal sensor (i.e., electromagnetic [EM] induction and gamma-ray [γ-ray]) data. To account for the large amount of remote data we combined them using principal component analysis (PCA). We also investigated combining digital data using a backward feature elimination – BFE), along with minimum calibration sample size (n = 150–10) determined. Prediction agreement (Lin's concordance correlation coefficient – LCCC) and accuracy (ratio of performance to deviation – RPD) were assessed using an independent validation dataset (n = 32). To predict topsoil ESP, PCs from Landsat-8 provided excellent (LCCC = 0.90) agreement and very good (RPD = 2.26) accuracy, followed by Sentintel-2 (0.86, 1.75), γ-ray (0.83, 1.84) and EM (0.78, 1.78), with subsoil ESP also excellent (0.90) and very good (2.51) using Landsat-8, however; Sentintel-2 outperformed the others with even better results (0.95, 3.24), followed by EM (0.78, 1.76) and γ-ray (0.73, 1.54). Moreover, slightly better results were achieved when EM, γ-ray, and PCs of Sentinel-2 were combined, with top- and subsoil ESP agreement (0.93 and 0.94, respectively) and accuracy (2.53 and 3.14, respectively) excellent. A minimum of 40 sampling sites were required (1.2 sites ha−1) for the good prediction agreement and accuracy of top- (0.85, 2.13) and subsoil (0.84, 1.90) ESP. Based on the best results, DSM of ESP was made to recommend gypsum application rates to ameliorate sodic soils according to the Six-Easy-Steps Management Guidelines. The northern fields required variable rates (5, 7.5, and 10 t ha−1) of gypsum, whereas the southern fields would not require gypsum.