Yield Improvement Research Articles

Foliar application of IAA and GA3 on growth and yield attributes of mungbean (Vigna radiata L. R. Wilczek)

A field experiment was conducted to assess the effects of foliar application of Indole acetic acid (IAA) and Gibberellic acid (GA3) on the growth and yield of mungbean (BARI Mung-6) plants. Nine treatments were administered, including various concentrations of IAA and GA3, applied individually and in combination. The experiment followed a randomized complete block design (RCBD) with three replications, data were recorded on growth and yield parameters at 30 days after sowing (DAS) and at harvest. Results indicated that treatment T8 (IAA 50 mg/l + GA3 50 mg/l) significantly enhanced growth and yield attributes. Notably, T8 exhibited the highest values for plant height (57.50 cm), number of leaves per plant (47.33), number of branches per plant (7.67), chlorophyll content (55, SPAD value), shortest duration to 80% flowering (27.33) with 80% pod maturity (55.33), number of pods per plant (37.67), pod length (14.99 cm), number of seeds per pod (13.78), weight of 1000 seeds (54.95 g), seed yield (1.68 t/ha), biological yield (3.52 t/ha), and harvest index (47.73%). Conversely, the untreated control (T0) exhibited the lowest performance across all parameters. Therefore, foliar application of IAA and GA3, particularly at 50 mg/l concentration each, demonstrated significant improvements in growth, yield, and related attributes of mungbean. Bangladesh J. Bot. 53(3): 459-464, 2024 (September)

HPLC for at-line reaction monitoring and purification improves yield and purity of tRNA.

Engineered transfer RNA is an emerging therapeutic modality, particularly suited to treatment of diseases caused by genetic disorders based on premature termination codons, frameshifts, or missense mutations. It is also extensively used in reprogramming of in vitro translation systems to generate non-canonical amino acid-containing proteins and peptides, such as in mRNA display. Due to its length, chemical synthesis of tRNA is challenging and production of engineered tRNA at scale is currently limited to in vitro transcription from a DNA template. Previously, the highest reported in vitro transcription yield was 2.5 g/L, significantly below the industry standard for mRNA production of 7-10 g/L. To improve this process, we implemented monitoring of nucleoside triphosphate consumption and tRNA production during in vitro transcription, using at-line high-performance liquid chromatography, with a monolithic solid phase. This allowed for optimization of nucleoside triphosphate concentration, reduction of the in vitro transcription time to <4 h, and improvement of yield up to 4.7 g/L. A step-elution purification on a DEAE chromatographic monolith with >90% step yield was then developed. These improvements in the production and purification of tRNA represent an important step in facilitating production of tRNA for research purposes, and provide a method for purification of therapeutic tRNAs that is scalable and compatible with Good Manufacturing Practice requirements for clinical production.

Teosinte-Derived Advanced Backcross Population Harbors Genomic Regions for Grain Yield Attributing Traits in Maize

Maize is a highly versatile crop holding significant importance in global food, feed and nutritional security. Grain yield is a complex trait and difficult to improve without targeting the improvement of grain yield attributing traits, which are relatively less complex in nature. Hence, considering the erosion in genetic diversity, there is an urgent need to use wild relatives for genetic diversification and unravel the genomic regions for grain yield attributing traits in maize. Thus, the current study aimed to identify quantitative trait loci (QTLs) linked with grain yield and yield attributing traits. Two BC2F2 populations developed from the cross of LM13 with Zea parviglumis (population 1) and LM14 with Zea parviglumis (population 2) were genotyped and phenotyped in field conditions in the kharif season. BC2F2:3 lines in both populations were phenotyped again for grain yield and attributing traits in the spring season. In total, three QTLs each for ear height (EH), two QTLs for flag leaf length (FLL) and one QTL each for ear diameter (ED), plant height, flag leaf length (FLL), flag leaf width and 100 kernel-weight were identified in population 1. In population 2, two QTLs for kernel row per ear (KRPE) and one QTL for FLL were detected in. QTLs for EH, FLL and KPRE showed consistency across seasons. Among the identified QTLs, six QTLs were found to be co-localized near identified genomic regions in previous studies, validating their potential in contributing to trait expression. The identified QTLs can be utilized for marker assisted selection, transferring favorable alleles from wild relatives in modern maize.

Rectifying Heterointerface Facilitated C-N Coupling Dynamics Enables Efficient Urea Electrosynthesis Under Ultralow Potentials.

Electrocatalytic C-N coupling for urea synthesis from carbon dioxide (CO2) and nitrate (NO3-) offers a sustainable alternative to the traditional Bosch-Meiser method. However, the complexity of intermediates in co-reduction hampers simultaneous improvement in urea yield and Faradaic efficiency (FE). Herein, we developed a Cu/Cu2O Mott-Schottky catalyst with nanoscale rectifying heterointerfaces through precise controllable in-situ electroreduction of Cu2O nanowires, achieving notable FE (32.6-47.0%) and substantial yields (6.08-30.4 μmol h-1 cm-2) across a broad range of ultralow applied potentials (0 to -0.3 V vs. RHE). Operando synchrotron radiation-Fourier transform infrared spectroscopy (SR-FTIR) confirmed the formation of *CO intermediates and C-N bonds, subsequently density functional theory (DFT) calculations deciphered that the Cu/Cu2O rectifying heterointerface modulated *CO adsorption, significantly enhancing subsequent C-N coupling dynamics between *CO and *NOH intermediates. This work not only provides a groundbreaking and advanced pathway for C-N coupling, but also offers deep insights into copper-based heterointerface catalysts for urea synthesis.

Rectifying Heterointerface Facilitated C‐N Coupling Dynamics Enables Efficient Urea Electrosynthesis Under Ultralow Potentials

Electrocatalytic C‐N coupling for urea synthesis from carbon dioxide (CO2) and nitrate (NO3‐) offers a sustainable alternative to the traditional Bosch‐Meiser method. However, the complexity of intermediates in co‐reduction hampers simultaneous improvement in urea yield and Faradaic efficiency (FE). Herein, we developed a Cu/Cu2O Mott‐Schottky catalyst with nanoscale rectifying heterointerfaces through precise controllable in‐situ electroreduction of Cu2O nanowires, achieving notable FE (32.6‐47.0%) and substantial yields (6.08‐30.4 μmol h‐1 cm‐2) across a broad range of ultralow applied potentials (0 to ‐0.3 V vs. RHE). Operando synchrotron radiation‐Fourier transform infrared spectroscopy (SR‐FTIR) confirmed the formation of *CO intermediates and C‐N bonds, subsequently density functional theory (DFT) calculations deciphered that the Cu/Cu2O rectifying heterointerface modulated *CO adsorption, significantly enhancing subsequent C‐N coupling dynamics between *CO and *NOH intermediates. This work not only provides a groundbreaking and advanced pathway for C‐N coupling, but also offers deep insights into copper‐based heterointerface catalysts for urea synthesis.

Impact of regulated deficit irrigation on the dynamics of quality changes in processing tomato fruits during ripening

Quality is a key factor restricting the development and economic benefits of the tomato processing industry, and improving the quality of tomatoes has become a hotspot in the development of the tomato processing industry in Xinjiang. Regulated deficit irrigation (RDI) is an abiotic means of crop yield and quality control widely used for crop yield and quality improvement. This study aimed to investigate the impact of RDI on the dynamics of quality changes in processing tomato fruits during ripening via a 2-year (2022–2023) filed experiment with five water irrigation treatments in Xinjiang, China. The results showed that compared with conventional irrigation, regulated deficit irrigation significantly saved 315–1260 m3 ha−1 irrigation water. Mild RDI increased the single fruit weight and fruit hardness by 0.15 % and 3.29 kg cm2, respectively, thus improved the yield and storage and transportation quality of processed tomatoes. Moderate RDI increased the contents of soluble solid, soluble sugar and lycopene in fruit to 0.6 %, 0.56 % and 3.53 μg/g, respectively, therefore significantly improved the nutritional quality and flavor quality of processed tomato. Ultimately, a comprehensive evaluation using a coupled Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) model, taking into account the appearance, nutrition, flavor, and storage and transportation indexes of processed fruits, concluded tha W1 treatment is a sustainable water management approach that balances yield and quality. Therefore, the optimal deficit irrigation model for processing tomato fruits in Xinjiang was recommended to be the W1 treatment, whereas the W2 treatment was considered as an alternate model. The study supported the large-scale development of the tomato processing industry in Xinjiang and the implementation of effective water-saving farming.

Genotype and Plant Biostimulant Treatments Influence Tuber Size and Quality of Potato Grown in the Pedoclimatic Conditions in Northern Apennines in Italy

AbstractIn marginal mountain areas, farm management presents challenges, particularly the sustainable improvement of yield and quality. To ensure this agronomic result, it is crucial to select appropriate varieties and apply sustainable agricultural practices, such as the use of plant biostimulants. To address these challenges a two-year field study was conducted using three potato varieties (Désirée, Kennebec and Spunta) in the Tuscan-Emilian Apennines. These varieties were treated with two plant biostimulants: one based on hydrolyzed proteins from animal epithelial tissue (Fitostim®) and another based on seaweed extracts (FitostimAlga®). Agronomic and biochemical traits were used to evaluate the development of plants, yield and tubers quality. Significant interactions among factors were found, resulting in higher or lower efficiency of the plant biostimulant treatment depending on weather conditions and potato genotype. Furthermore, results demonstrated that plant biostimulant treatments increased the leaf chlorophyll content (+ 11.5%), the number of leaves per plant (+ 13.3%) and the height of potato plants (+ 6.5%), while no effects were observed on yield. The Désirée variety achieved the highest yield (0.54 kg plant-1), whereas Kennebec was shown as the best variety to use for production of French fries due to a lower tuber quantity of reducing sugars, which were reduced also by plant biostimulants treatment (-18%). Moreover, Spunta tubers had the highest content of polyphenols, and the best value was achieved by Spunta variety treated with Fitostim® alga in the second year. Our finding have proven that plant biostimulant treatments can increase the quality of potato tuber without compromising yield.

Effects of water quality and nitrogen on wheat productivity: Experimental and modelling study using the SALTMED model

AbstractThe effects of different water qualities and nitrogen doses need to be investigated for wheat growth to determine the optimal management strategy for sustaining wheat production potential to ensure human food security. Therefore, a 2‐year study (2020–2021 to 2021–2022) was conducted on wheat irrigated with different water qualities, including canal water (Ca), tubewell water (Tu) and mixed Ca‐Tu water (Mx), each fertilized with two nitrogen doses, that is, N75 = 75 kgN.ha−1 and N100 = 100 kgN.ha−1. Ca⨯N100 performed best, with 5.12 t.ha−1 grain yield, 11.60 t.ha−1 biomass, 102.83 cm plant height and 1.32 kg.m−3 water productivity. The best values of the root mean square error (RMSE), normalized root mean square error (NRMSE), coefficient of determination (R2) and coefficient of residual mass (CRM) were 0.11, 0.12, 0.93 and −0.004, respectively, for calibration and 0.13, 0.15, 0.87 and ±0.01, respectively, for validation of the SALTMED model. The scenario simulation was performed for additional levels of water salinity (electrical conductivity [EC] = 8 and 12 dS.m−1) and nitrogen doses (50, 125, 150 and 175 kgN.ha−1). The results revealed improvements in wheat grain yield of 107%, 16% and −6% at EC = 8 dS.m−1 and 125%, 31% and 5% at EC = 12 dS.m−1, while the improvements in biomass were 113%, 22% and −2% at EC = 8 dS.m−1 and 137%, 29% and 8% at EC = 12 dS.m−1 with increasing nitrogen doses from 50–125 kg.ha−1, 125–150 kg.ha−1 and 150–175 kg.ha−1, respectively. It is recommended that high‐quality water with the lowest possible EC and nitrogen applications of up to 150 kgN.ha−1 be adopted for wheat production in semi‐arid areas of Punjab, Pakistan.

Identification of Key Traits for Yield Improvement in Brinjal Through Correlation and Path Coefficient Analysis

Brinjal (Solanum melongena L.), also known as poor man’s vegetable, is widely distributed and grown in almost all parts of India. The assessment of genetic variation, correlation and path analysis for various yield and yield attributing traits in the available germplasm is crucial for selecting superior genotypes with desired traits such as yield, fruit quality, disease resistance, and adaptability to environmental conditions, thereby enhancing the potential for further crop improvement through breeding. Therefore, the present study was conducted to assess the phenotypic correlation and path coefficient among various yield and yield related traits for 42 genotypes of brinjal at the Horticulture Research Centre, SVPUA&amp;T, Meerut (U.P.), India, over two consecutive Kharif seasons in 2022 and 2023 in Randomized Complete Block Design with three replications. The analysis of variance indicated significant variability across all the traits examined. In general, magnitudes of genotypic correlation coefficient were higher than their corresponding phenotypic correlation coefficient, implying a significant inherent relationship in different pair of traits. Based on the correlation coefficient analysis, fruit yield per plant had significant and positive association with fruit yield per plot, fruit yield per hectare, fruit weight, number of fruits per plant, fruit length and fruit girth both at genotypic and phenotypic levels. Path coefficient analysis showed that the traits viz., number of fruits per plant, fruit weight, fruit girth and fruit length exhibited highest direct effects on fruit yield and also indirectly influenced by the other yield contributing traits of brinjal. It is concluded from the study that these traits may be used as key indices towards the direct selection of elite genotypes for the successful breeding programme for yield improvement of brinjal germplasm.

Strengthening mechanisms in vanadium-microalloyed medium-Mn steels

In this work, the impact of adding vanadium, ranging from 0 to 2 wt%, on the microstructure and mechanical properties of as-cast medium manganese steel was explored. A dual phase microstructure consisting of martensite and retained austenite was observed in the 0 V, 0.05 V and 0.8 V conditions. The 2 V condition contained retained austenite, lath martensite, and δ-ferrite bands. The retained austenite fraction and prior austenite grain size initially increased at lean vanadium concentrations but significantly dropped at the highest vanadium concentration. The element distribution in the constituent phases was investigated in detail. Mn, C and Si partitioning to austenite was observed in the 0 V, 0.05 V and 0.8 V conditions. V and C segregation to the grain boundaries and significant grain refinement were evident in the 2 V condition. The findings also revealed that increasing the vanadium content led to an increase in the hardness of the steel. This assessment was validated by tensile testing, which showed an improvement in yield and tensile strength of the steel with increasing vanadium content, and were supported by reconstruction of the parent austenite grains employing martensitic structures. Finally, the influence of different strengthening mechanisms on the yield strength of as-cast, microalloyed medium-manganese steels was also discussed in terms of simulated stacking fault energy, as well as the quantitative contributions from solid solution, grain boundary, and precipitation strengthening mechanisms.

Exploring the insights of bioslurry-Nanoparticle amalgam for soil amelioration.

In response to global agricultural challenges, this review examines the synergistic impact of bioslurry and biogenic nanoparticles on soil amelioration. Bioslurry, rich in N, P, K and beneficial microorganisms, combined with zinc oxide nanoparticles synthesized through eco-friendly methods, demonstrates remarkable soil improvement capabilities. Their synergistic effects include enhanced nutrient availability through increased soil enzymatic activities, improved soil structure via stable aggregate formation, stimulated microbial activity particularly beneficial groups, enhanced water retention due to increased organic matter and modified soil surface properties and reduced soil pH fluctuations. These mechanisms significantly impact soil physico-chemical properties including cation exchange capacity, electrical conductivity and nutrient dynamics. This review analyses these effects and their implications for sustainable agricultural practices, focusing on crop yield improvements, reduced chemical fertilizer dependence and enhanced plant stress tolerance. Knowledge gaps such as long-term nanoparticle accumulation effects and impacts on non-target organisms are identified. Future research directions include optimizing bioslurry-nanoparticle ratios for various soil types and developing "smart" nanoparticle-enabled biofertilizers with controlled release properties. This innovative approach contributes to environmentally friendly farming practices, potentially enhancing global food security and supporting sustainable agriculture transitions. The integration of bioslurry and biogenic nanoparticles presents a promising solution to soil degradation and agricultural sustainability challenges.

Composting and Liquid Formulations: Panacea to Better Yield in Agriculture: A Review

Liquid formulations, including aqueous, oil, and polymer-based products, often use polysaccharides to alter fluid properties. Liquid inoculants offer cost-effective alternatives to solid carriers, particularly benefiting small producers in India by overcoming transportation and processing challenges. Ideal liquid inoculants are non-toxic, low-cost, uniform, nutrient-supplemented, and support rapid microorganism release and growth. Effective formulations stabilize organisms, ensure easy field delivery, protect against environmental factors, and enhance microbial activity. Rich in nutrients and organic matter, compost enhances the texture, structure, and moisture retention of soil, improving soil qualities and crop productivity. It boosts soil enzyme activity and microbial populations, promoting nitrogen fixation and nutrient availability. Organic manure applications increase soil fertility, water retention, and reduce bulk density. Field and horticultural crops, such as potatoes, chillies, and tomatoes, show significant yield improvements with compost, which also suppresses plant diseases and weed populations. These findings underscore the importance of adopting liquid formulations and composting as sustainable agricultural practices.

Effect of Tillage Practices and Hydrogel Applications on Yield and Yield Attributing Traits of Maize (Zea mays L.) over the Years

This study investigated the effects of different tillage practices and hydrogel applications on maize yield in sandy loam soils at the Agricultural Research Station, Karimnagar, PJTSAU, Telangana state over a period of four years (2015-2018) during the Kharif season. The experiment was designed as a split plot with four main treatments i.e., Conventional tillage (CT), Conventional tillage with residue mulching (4 t/ha), Zero tillage (ZT) and Zero tillage with residue mulching (4 t/ha). These were combined with three sub-treatments involving hydrogel application i.e., Control (no hydrogel), Hydrogel at 2.5 kg/ha and Hydrogel at 5.0 kg/ha. The study was replicated three times to ensure reliability of the results. The combination of zero tillage with residue mulching yielded the highest maize grain yield (4435 kg/ha). This suggests that this practice is more effective in retaining soil moisture, which is critical under rainfed conditions. The addition of hydrogel, regardless of the rate (2.5 kg/ha or 5.0 kg/ha), did not lead to any significant improvement in maize yield. The use of zero tillage combined with residue mulching is beneficial for maize production in sandy loam soils under rainfed conditions, primarily due to enhanced moisture retention. However, hydrogel application did not provide any additional yield benefits in this context.

Effect of NPK and Growth Regulators on Growth and Productivity of Wheat (Triticum aestivum L.)

The present study highlights the effect of NPK and growth regulators on growth and productivity of wheat (Triticum aestivum L.). Wheat is one of the most important and widely grown food crops with over 25000 different cultivars. The exploration was carried out during Rabi season 2021-22 at Instructional farm, BTC College of Agriculture and Research station, Bilaspur (C.G.). The soil of the experimental site was clayed in texture. The wheat (Var. HI-1544) was grown and treatments were replicated three times in randomized block design. The experiment consists of twelve treatments The crop was sown on 11 November, 2021 and harvesting was done on 24 March 2021.The result that higher grain (45.55 q ha-1) and straw (46.45 q ha-1) yield were observed under the treatment 150% RDF + Two spray of growth regulator at first node(35 DAS) &amp; boot leaf stage (60 DAS) (T9). The improvement in yield of wheat was recorded with the application of 150% RDF + Two spray of growth regulator at first node(35 DAS) &amp; boot leaf stage (60 DAS) (T9) which was at par with the application of 150% RDF (T6). Treatment (T9) assigned yield advantage of 21.19% and 21.52% in grain and straw yield respectively as compared to 150% RDF (T6) and Absolute control (T1). The result of the present study came to the conclusion that the application of 150% RDF+ growth regulators through fertilizer is essential to get higher production output and profit from wheat cultivation and reduce the risk.

Innovation in Agriculture Advantages of a Remote Irrigation Monitoring and Control System

Globally, the irrigation of crops is the largest consumptive user of water. Water scarcity is increasing worldwide, resulting in tighter regulation of its use for agriculture. This necessitates the development of irrigation practices that are more efficient in the use of water but do not compromise crop quality and yield. Precision irrigation already achieves this goal, in part. The goal of precision irrigation is to accurately supply the crop water need in a timely manner and as spatially uniformly as possible. However, to maximize the benefits of precision irrigation, additional technologies need to be enabled and incorporated into agriculture. This Search discusses how Advantages of a remote irrigation monitoring and control system irrigation management will enable significant advances in increasing the efficiency of current irrigation approaches. From the literature review, it is found that precision irrigation can be applied in achieving the environmental goals related to sustainability. The demonstrated economic benefits of precision irrigation in field-scale crop production is however minimal. It is argued that a proper combination of soil, plant and weather sensors providing real-time data to an adaptive decision support system provides an innovative platform for improving sustainability in irrigated agriculture. The review also shows that adaptive decision support systems based on model predictive control are able to adequately account for the time-varying nature of the soil–plant–atmosphere system while considering operational limitations and agronomic objectives in arriving at optimal irrigation decisions. It is concluded that significant improvements in crop yield and water savings can be achieved by incorporating model predictive control into precision irrigation decision support tools. Further improvements in water savings can also be realized by including deficit irrigation as part of the overall irrigation management strategy. Nevertheless, future research is needed for identifying crop response to regulated water deficits, developing improved soil moisture and plant sensors, and developing self-learning crop simulation frameworks that can be applied to evaluate adaptive decision support strategies related to irrigation.

Process Optimization in a Condiment SME through Improved Lean Six Sigma with a Surface Tension Neural Network

This study offers an innovative solution to address performance issues in the manufacturing process of garlic salt within a condiment-producing SME. A hybrid Lean/Six Sigma model utilizing a Surface Tension Neural Network (STNN) was implemented to control temperature and relative humidity in real-time. The model follows the Define, Measure, Analyze, Improve, Control (DMAIC) methodology to identify root causes and correlate them with waste. By integrating statistical tools, artificial intelligence, and engineering design principles, alternative solutions were evaluated to minimize waste. This document contributes to existing knowledge by demonstrating the integration of an STNN with the Lean/Six Sigma framework in condiment production, an area with limited empirical research. It underscores the benefits of advanced AI technologies in enhancing traditional process optimization methods. The STNN model achieved 97.31% accuracy for temperature classification and 97.37% for humidity, outperforming a Naive Bayes model, which attained 90% accuracy for both. The results showed a 3.15% increase in yield, saving 39.7 kg of waste per batch. Additionally, a 2.13-point improvement at the Six Sigma level was achieved, reducing defects per million opportunities by 551.722. These improvements resulted in significant cost savings, with a reduction in waste-related losses amounting to USD 1585 per batch. The study demonstrates that incorporating artificial intelligence into the Lean/Six Sigma methodology effectively addresses the limitations of traditional statistical methods. Significant improvements in yield and waste reduction highlight the potential of this approach, enhancing operational efficiency and profitability, and fostering sustainable manufacturing practices critical for SMEs’ competitiveness and sustainability in the global market.

Simultaneous improvement of fiber yield and quality in upland cotton (Gossypium hirsutum L.) by integration of auxin transport and synthesis

Simultaneous improvement of fiber yield and quality in upland cotton (Gossypium hirsutum L.) by integration of auxin transport and synthesis

Advancing Aquaculture Sustainability: A Comprehensive Review of Biofloc Technology Trends, Innovative Research Approaches, and Future Prospects

ABSTRACTBiofloc technology (BFT), initially adapted for shrimp farming in the 1970s, represents a sophisticated ecosystem of microorganisms designed to enhance aquaculture productivity and sustainability. Despite its established history, research into BFT is surprisingly still at an early stage globally. This review conducted a bibliometric analysis of 612 articles from major aquaculture journals spanning 2008–2023 to systematically explore the development, trends, and focal points of BFT research. The analysis revealed that the bulk of significant contributions originates from Brazil and China, and highlighting areas of interest can be categorized into four hotspots, such as (1) efficient nitrogen transformation, (2) biofloc microbiology, (3) biofloc's immunostimulant properties, and (4) the evaluation of research methodologies. At the end, the microecology concept was introduced, and the cross‐discipline methods were promoted in the aquaculture field. Notably, much of the BFT research is still at an exploratory phase, with numerous functional bacteria unidentified and optimization strategies for BFT underdeveloped. These gaps present opportunities for enhancing aquaculture through improvements in wastewater management, product quality, safety, and yield. Furthermore, the review notes a growing trend in applying microbiome research and microecological analysis in aquaculture, with high‐throughput sequencing data increasingly used to understand microbial interactions and nitrogen transformation within bioflocs. This direction promises to unlock further insights into the complex microbial ecosystems of bioflocs and their applications in sustainable aquaculture.

Long-term potato response to different irrigation scheduling methods using saline water in an arid environment

Crops’ water requirement is generally higher than the annual average precipitation in arid environments characterized by scarce freshwater resources. While using saline water for irrigation can help sustain agriculture in water-stressed regions, several challenges arises concerning productivity and soil salinization. However, adoption of efficient irrigation techniques such as drip irrigation, irrigation scheduling, and deficit irrigation can help optimize water productivity and mitigate salinity problems in irrigated agriculture. In southern Tunisia, potato is considered among the main cultivated horticultural crops due to its high economic value while it is considered as a crop sensitive to salinity. This crop (cv. Spunta) was the subject of long-term studies (2002–2020) conducted during the fall period in the arid region of Médenine. The crop response to full and deficit irrigation with saline water was assessed for several seasons under contrasting climatic conditions. Scheduling using the soil water balance (SWB) method consisted of the total and/or partial replacement of accumulated crop evapotranspiration (ETc), as derived from climatic data and crop coefficients. The impact of decreasing amounts of irrigation waters on crop yield and soil salinity with waters having a salinity ranging between 3 and 7 dS m−1 was evaluated. Results showed improvements in yield (30% to 37%) obtained with the SWB strategy under actual farming conditions, supporting the use of this strategy for irrigation. Appropriate scheduling also seems to be a key element in saving water (15%–22%) and in reducing risks of soil salinization. In the dry environment of southern Tunisia, optimum supply seems to correspond to a replacement of 100% to approximately 70%–80% of ETc. Applying such irrigation levels resulted in a lower salinity buildup in the root zone and higher crop water productivity. Natural salt leaching seems to be more effective under a more humid soil profile. Yield decreases and soil salinity increases almost linearly (r2 = 0.60) with decreasing irrigation water amounts. Future work should focus on the integration of management practices when using saline water. Investigating the relationship and interaction between irrigation amounts, cultivar, fertilizer supply, and salt leaching will help in resolving productivity and environmental issues.

A Holistic Approach to the Selection of Soybean (Glycine max) Cultivars for Shade Environments Based on Morphological, Yield and Genetic Traits

ABSTRACTThe reduction of photosynthetically active radiation impacts the growth and productivity of soybean in agroforestry and intercropping systems. Thus, this report explored the responses of 16 soybean cultivars submitted to shade levels in field conditions. Multi‐faceted and relative importance analyses revealed that the steam diameter and plant height are fundamental morphological markers for selecting shade‐resilient cultivars, both were high and positively correlated to yield components. Moreover, the responses to shade varied among soybean cultivars, with certain genotypes demonstrating distinct tolerance levels, which allowed also the estimative of genetic variance that revealed strong participation of genetic components in responses to shade. Multivariate and clustering analysis using steam diameter and plant height in combination with two yield components resulted in the identification of four soybean cultivars more tolerant to shade environments and two sensible. Therefore, this report provides insights into soybean cultivation under varying light conditions, provides a robust foundation for the integration of morphological and yield markers in breeding programmes focused on shade tolerance and guides future endeavours in crop improvement for optimal and sustainable yield and resilience in the climate change context.