Crops

The swift integration of AI, robotics, and advanced sensing technologies has revolutionized agriculture into a data-centric, autonomous, and sustainable sector. This systematic study examines the interplay between artificial intelligence and agricultural robotics in intelligent farming systems. Artificial intelligence, machine learning, computer vision, swarm robotics, and generative AI are analyzed for crop monitoring, precision irrigation, autonomous harvesting, and post-harvest processing. Employing PRISMA to categorize more than 10,000 high-impact publications from Scopus, WoS, and IEEE. Drones and vision-based models predominate the industry, while IoT integration, digital twins, and generative AI are on the rise. Insufficient field validation rates, inadequate crop and regional representation, and the implementation of explainable AI continue to pose significant challenges. Inadequate model generalization, energy limitations, and infrastructural restrictions impede scalability. We identify solutions in federated learning, swarm robotics, and climate-smart agricultural artificial intelligence. This paper presents a framework for inclusive, resilient, and feasible AI-robotic agricultural systems. Full article

Pantoea ananatis was recently described as the causative agent of late-season decline, a new bacterial disease first observed affecting field corn plants, in the Texas Panhandle. The rapid spread of the disease throughout the region and the patchy distribution of symptomatic plants in affected fields, as well as routine observations of edge effects, in which plants with severe symptoms are observed on the edges of affected fields, led us to hypothesize that vectors might be involved in the dissemination of the disease pathogen. In this study, we investigated the western corn rootworm (Diabrotica virgifera virgifera LeConte) and southern corn rootworm (Diabrotica undecimpunctata howardi Barber) for any naturally occurring association with P. ananatis and potential to acquire and transmit the bacterial pathogen. Additionally, we investigated the transgenic corn encoding insecticidal Bacillus thuringiensis proteins (Bt) pyramided with RNAi interference anti-rootworm technology for its potential to protect against any larval role in the transmission of the pathogen through their feeding activities on corn roots. We successfully recovered naturally occurring P. ananatis from samples of both rootworm species collected from corn plants in the field. Following acquisition assays, the acquired pathogen was successfully recovered from previously P. ananatis-free adult rootworms, their eggs, as well as first-instar larvae, suggesting an affinity of the bacteria to establish an endosymbiotic and transovarial association with both rootworm species. Additionally, the transgenic Bt corn with RNAi anti-rootworm technology was ineffective in preventing the transmission of the pathogen by the infected larvae. Findings from this study confirm a vector role in the transmission of the disease pathogen. Full article

In recent years, the spread of the phytopathogenic bacterium Xylella fastidiosa Wells et al., 1987 (Bacteria: Proteobacteria, Gammaproteobacteria) has posed a significant threat to olive cultivation in Italy, particularly in regions of high economic and agronomic value such as Apulia (Southern Italy). In this two-year study (2019–2020), we investigated the Auchenorrhyncha community in three representative olive farms in Tuscany (Central Italy), another region with highly valuable olive-growing, comparing traditional (400 trees/ha) and super-high-density (1500 trees/ha) management systems. Adult insects were collected monthly from May to November using sweep net sampling on both olive tree canopies and herbaceous ground cover. In total, 1844 individuals belonging to 25 genera and five families were identified. Philaenus spumarius L. and Neophilaenus campestris (Fallén) (Cercopoidea: Aphrophoridae) were confirmed as the most prevalent X. fastidiosa vectors in each site. However, data analysis revealed that Auchenorrhyncha community composition was significantly influenced by site and vegetation stratum, but not by olive grove management systems. These findings contribute to a deeper understanding of the composition of Auchenorrhyncha communities associated with olive groves, highlighting that new super-high-density management does not influence the presence and abundance of X. fastidiosa vectors. Full article

Blue light (BL) is a key environmental signal influencing plant flowering, yet its role in floral development beyond the transition phase remains underexplored. This review provides a comprehensive synthesis of current research on BL-mediated floral development, with a particular emphasis on horticultural crops grown in a controlled environment. Unlike prior reviews that focus primarily on floral induction, this article systematically examines BL’s effects on later stages of flowering, including floral organ morphogenesis, sex expression, bud abortion, flower opening, scent emission, coloration, pollination, and senescence. Drawing on evidence from both model plants (e.g., Arabidopsis thaliana) and crop species, this review identifies key photoreceptors, hormonal regulators, and signaling components involved in BL responses. It also highlights species-specific and context-dependent outcomes of BL manipulation, proposes mechanistic hypotheses to explain conflicting findings, and outlines critical knowledge gaps. By integrating molecular, physiological, and environmental perspectives, this review offers a framework for optimizing BL applications to improve flowering traits and postharvest quality in horticultural production systems. Full article

Durum wheat is a vital wheat species cultivated worldwide for human consumption, ranking second to bread wheat. The Ethiopian durum wheat allele pool shows wide gene diversity; however, limited improvement work has been done to exploit this diversity. Thus, this study aimed to assess the genetic variability, heritability, and interrelationship among different phenotypic traits in 210 recombinant inbred lines (RILs) using an alpha lattice design with two replications. The analysis of variance revealed a significant difference for all the measured traits. The phenotypic coefficient of variation (PCV) was greater than the genotypic coefficient of variation (GCV) for all the characters, which reflects that the existing range of variability within the genotypes was not only due to the varying influence of genotype but also the environment. A correlation analysis disclosed that grain yield was positively related to the traits of plant height and 1000-kernel weight, suggesting that selecting these traits could enhance yield. Path analysis revealed that days to booting, maturity, and 1000-kernel weight directly affect grain yield. Among the measured traits, early developmental traits revealed higher broad-sense heritability. The findings of this study highlight high genetic diversity among Ethiopian durum wheat genotypes, opening up opportunities to integrate these materials into future wheat-breeding programs through introgression with other germplasm sources in Ethiopia and beyond. Full article

Elephant grass (Pennisetum purpureum Schumach, EG) is a promising biomass energy crop due to its high productivity and adaptability to harsh environments. In the transition to renewable energy, varietal evaluation is essential to identify cultivars that maximize biomass and energy yield. This study assessed three varieties (VS-19, VA-06, and VDP as control) across three harvest cycles (new planting, first regrowth, and second regrowth) between 2022 and 2024 at the Cotton and Agricultural Development Research Institute, Ninh Thuan Province, Vietnam. The site was characterized by mean temperatures of 25–36 °C, relative humidity of 65–82%, and average precipitation of 75.7 mm per month. Agronomic traits, energy potential (heating oil equivalent per hectare, HOE/ha), forage quality, and soil amendment value of the EG were examined to address the research question whether EG can be integrated into a three-cycle utilization model (energy, forage, soil amendment) to support a circular bioeconomy in Vietnam. All cultivars showed good growth, strong drought tolerance, and resistance to pests and diseases. VS-19 showed superior tillering, strong lodging resistance, and the highest biomass yield (63.8 t/ha) with an energy output of 32,636 HOE/ha, while VA-06 (56.1 t/ha; 28,699 HOE/ha) and VDP (54.7 t/ha; 27,952 HOE/ha) produced slightly lower but comparable outputs. Forage evaluation indicated moderate nutritional quality, while residues from the third cycle showed favorable carbon and nutrients content, making EG suitable as a soil amendment. EG thus demonstrates high biomass and energy yields, forage potential, and soil improvement capacity, reinforcing its role in integrated bioenergy and agricultural systems. Full article

Selection decisions in plant breeding programs are complex, and breeders aim to integrate phenotypic impressions, genotypic data, and agronomic performance across multiple selection stages to develop successful varieties. This study investigates whether such decisions can be predicted in a commercial winter wheat (Triticum aestivum L.) breeding program using elastic net models trained on genome-wide distributed markers and genomic estimated breeding values. For this purpose, a dataset of several thousand lines tested between 2015 and 2019 in preliminary, advanced, and elite multi-environment yield trials was analyzed across three decision-making scenarios. The predictive models achieved a higher precision than random selection in all scenarios, with an increased performance when genomic estimated breeding values were included as predictors. Comparisons of breeder selections and model recommendations in terms of selection differentials for key agronomic traits showed a substantial overlap in breeding objectives, while both the breeder’s decisions and the model’s suggestions maintained similar levels of genetic diversity. Although the precision of the elastic net model was of moderate magnitude, divergent model recommendations often identified promising alternative lines, highlighting the potential of artificial intelligence to support decision-making in plant breeding. Full article

Salinity is a major limitation on common bean productivity, while phosphorus in many soils is often immobilized, limiting its availability to plants. This study investigated the effects of coated and uncoated superphosphate fertilizers, applied at different rates and using distinct methods, on soil properties, plant growth, and ion regulation in common beans grown in saline soil over two seasons (2023–2024). Treatments combined two fertilizer types (coated with potassium sulfate and uncoated), two P rates (360 and 480 kg/ha), and two application methods: (1) conventional application, broadcasting followed by plowing to 30 cm depth during soil preparation; (2) surface application, broadcasting without incorporation. Six treatments were applied: T₁: 360 kg/ha of uncoated superphosphate (conventional method); T₂: 480 kg/ha of uncoated superphosphate (conventional method); T₃: 360 kg/ha of coated superphosphate (conventional method); T₄: 480 kg/ha of coated superphosphate (conventional method); T₅: 360 kg/ha of coated superphosphate (surface method); and T₆: 480 kg/ha of coated superphosphate (surface method). The results demonstrated that soil pH was unaffected across treatments. However, T₄ and T₆ significantly improved nutrient availability (N, P, and K), biomass, grain yield, and seed nutritional quality (protein, P, K, and Ca). Despite increased soil EC, these treatments enhanced ionic balance (higher K/Na and Ca/Na ratios) indicating improved stress tolerance. Importantly, T₃ (360 kg/ha coated) performed comparably to T₂ (480 kg/ha uncoated), suggesting that coated superphosphate at lower rates can reduce input costs without compromising yield. These results demonstrate the agronomic and environmental benefits of coated superphosphate, particularly under saline conditions, through enhanced nutrient use efficiency and improved crop performance. Full article

The regulation of nutrient availability and microbial processes in agroecosystems are strongly mediated by soil physico-chemical factors. Yet, their seasonal dynamics in different crops are not fully understood. This study monitored pH, redox potential (Eh), electrical conductivity (EC), and nitrite (NO₂⁻) in soils grown with clover, maize, and triticale from November to May. Monthly samples were collected in four depth layers (0–20, 20–40, 40–60, 60–80 cm) and analyzed to reveal patterns over time and space. Soil pH remained near neutral, with slight decreases in spring, and it appeared that maize maintained more stable values than clover or triticale. Eh was highest in winter, indicating oxidizing conditions, but decreased in spring, especially at depth under triticale. EC showed moderate variation, with higher surface values under maize. NO₂⁻ was uniformly low in winter but increased in spring, especially in deeper soils with triticale, while clover had lower accumulation. Overall, clover supported greater soil stability, maize increased surface EC, and triticale enhanced nitrite accumulation at depth. These results highlight the need for crop-specific, depth-aware management to maintain soil quality and optimize nitrogen cycling in agricultural systems. Full article

The whitefly (Bemisia tabaci) (Hemiptera: Aleyrodidae) is a small phytophagous invertebrate of herbaceous plants, shrubs, trees, wild plants, and crops of economic importance. It generates substantial economic losses due to direct damage caused by sap sucking and virus transmission. This work presents referential images of the morphology of B. tabaci and one of its main biological controllers in southern South America, thus serving as a reference for other researchers. In addition, results are presented of studies carried out to evaluate the pathogenicity of two fungal isolates (previously selected in vitro against Sclerotinia sclerotiorum and Botrytis cinerea and plant growth promoters) identified as Metarhizium taii CEP-722 and Trichoderma afroharzianum CEP-754 in immature stages of B. tabaci in tomato plants (Solanum lycopersicum). The trials were conducted under controlled conditions in controlled chambers, ensuring optimal growth conditions for B. tabaci, after morphological prospection, collection, identification, and mass rearing of adults in entomological cages. The results indicate that M. taii CEP-722 caused approximately 30% mortality in the immature stages of B. tabaci, while T. afroharzianum CEP-754 did not increase mortality under the experimental conditions. This study provides new knowledge on the potential of M. taii as a biological control agent against B. tabaci, offering a promising alternative in integrated pest management strategies. The results with T. afroharzianum suggest that further methodologies or combinations should be explored to improve its efficacy. Full article

Water deficit during reproductive development is one of the main constraints on pea (Pisum sativum L.) productivity in tropical highlands. In this study, five varieties with contrasting leaf architectures were evaluated under controlled greenhouse conditions, with and without water deficit applied from the time of pod formation. Key ecophysiological variables, including leaf area index (LAI), radiation extinction coefficient (k), interception efficiency (RIE), radiation use efficiency (RUE), and water use efficiency (WUE), along with yield components, were measured. Deficit significantly reduced biomass, RUE, and yield, although the harvest index (HI) remained relatively stable. Varieties with the afila gene showed greater stability in LAI and WUE, but lower biomass accumulation. Correlation analyses revealed that, under optimal conditions, yield was closely associated with structural and functional traits, a relationship that weakened under stress. These results demonstrate the importance of integrating morphophysiological characteristics into breeding and agronomic management programs to develop more efficient and resilient varieties under water deficit conditions in the high tropics. Full article

The Passifloraceae family is one of the most representative in tropical America, with food, pharmaceutical, and ornamental importance. This study evaluated seed morphometry and germination of eight accessions of four Passiflora edible species, P. edulis; P. ligularis; P. quadrangularis; and P. tripartita var. mollissima, by studying accessions conserved several years in the gene bank (−15 °C) and recently collected accessions. Four experimental phases were carried out as follows: (1) morphometric characterization of seeds with qualitative and quantitative variables; (2) evaluation of germination under two thermal regimes (20 °C/30 °C and 25 °C); (3) application of six pre-germination treatments to overcome dormancy; and (4) tetrazolium tests. In phase 1, P. quadrangularis stood out for its unique morphological characteristics according to multivariate analysis. In phase 2, the alternating thermal regime (20 °C/30 °C) promoted the highest germination. In phase 3, the germination response was specific to each species: mechanical scarification in P. edulis (85.7%), KNO₃ (0.5%) in P. ligularis (35.7%), control in P. quadrangularis (71.1%), and gibberellic acid (GA₃ 400 ppm) in P. tripartita (71.4%). The tetrazolium phase 4 identified the viability status of the seeds. It is concluded that the differences in morphometry and germination reflect the intrinsic characteristics of each species, highlighting the importance of specific protocols for their germination. This study provides tools to optimize the conservation and regeneration of Passiflora spp. germplasm under ex situ conditions, as a genetic base to be utilized in the future. Full article

Kazakhstan cultivates over 12 million hectares of wheat, primarily spring wheat in the northern region. Spring wheat yields are low, ranging from 1.2 to 1.7 t/ha depending on weather conditions. Northern Kazakhstan is served by five spring wheat breeding programs: A.I. Barayev Research and Production Centre for Grain Farming and Agricultural Experimental Stations located in the Aktobe, Karagandy, Kostanay, and North Kazakhstan regions. In 2022, a germplasm set was assembled, including cultivars and breeding lines from the five breeding programs, totaling 84 genotypes. This set was evaluated in field trials during 2022 and 2023 at the breeding programs that contributed to the germplasm (except Aktobe). The material was also screened for molecular markers associated with genes for agronomic traits. The study objective was to compare the diversity and performance of germplasm originating from different breeding programs and identify potential underlying drivers. Breeding sites grouped based on variations in air temperature, precipitation, and grain yield demonstrated both similarities and differences among sites. However, these similarities were not reflected in the agronomic performance of materials originating from different locations. The expectation that germplasm would perform best for grain yield at its “home” location was not always confirmed. Grouping of germplasm based on genetic diversity of 20 molecular markers was not related to similarities in environmental conditions at the places of origin. The performance and diversity of germplasm from each of the five breeding programs is apparently driven by factors beyond environment, including breeding strategy and methodology, parental pool, and, in the absence of modern tools, breeders’ intuition and selection robustness. Kazakh spring wheat breeding programs require improvement to remain competitive in the face of increasing pressure from introduced foreign cultivars. Full article

Salinity is a significant challenge that limits agricultural productivity worldwide. This study examined the use of nanoparticles to improve the growth and development of Solanaceae crops under salinity stress. Specifically, titanium dioxide (TiO₂NPs), copper oxide (CuONPs), and zinc oxide (ZnONPs) were applied at 750, 1250, and 1500 mg/kg per seed, respectively, to assess their effects on seed germination and growth of tomato, eggplant, and pepper plants. Results showed that tomato plants under salinity stress performed best with CuONPs, which improved key traits. The combination of salinity and TiO₂NPs reduced flower abortion and increased seed yield and 1000-Seed weight. In eggplants, CuONPs and ZnONPs, both individually and in combination with salinity, enhanced plant characteristics, with CuONPs showing particularly strong effects. Control plants consistently recorded the lowest values across traits. For peppers, ZnONPs applied individually most effectively improved growth traits, while CuONPs reduced flower abortion and enhanced seed and germination rates. However, salinity stress itself severely reduced pepper growth parameters. The findings highlight the potential of nanoparticle applications to mitigate salinity stress, enhance growth performance, and support sustainable crop production in tomatoes, eggplants, and peppers, offering practical solutions for salinity-affected agriculture. Full article

Soil salinity is a crucial factor that limits agricultural production, negatively impacting the growth and physiological functions of salt-sensitive crops, such as beans. The present study examined the efficiency of Ulva rigida seaweed extracts (URE) as biostimulants to enhance the growth and photosynthetic ability of bean plants (Phaseolus vulgaris L.) under saline conditions (51.33 mM NaCl). Seaweed extracts were obtained by maceration and ultrasonic assistance at two concentrations, 25% and 50% (v/v), and applied as a foliar spray or irrigation. The most significant improvement was observed following foliar sprays of 50% ultrasonic extract (UP-50), with an increase of 96% in CCI compared to salt-stressed controls and by 71% compared to non-stressed controls. Stomatal conductance (SC) was also significantly improved with UP-50, reaching levels that were 146% higher than those of salt-stressed plants and 53% higher than those of non-stressed plants. The OJIP transients under salinity were significantly improved by both ultrasonic-assisted and maceration extracts; especially, 50% maceration extracts (MP-50) restored PSII quantum efficiency (ΦPo) and total performance index (PItotal) of salinity-stressed seedlings to 107% and 255% of non-stressed control and 122% and 314% of salt-stressed control, respectively. Root length and indole acetic acid (IAA) levels in treated plants were also enhanced, particularly in response to higher concentrations of the extract, suggesting improved root growth as well as hormonal homeostasis in the presence of salt stress. According to these findings, U. rigida extracts, specifically those applied at high concentrations as a foliar spray, serve as biostimulants that mitigate the adverse effects of salt stress on beans by preventing chlorophyll degradation and enhancing photosynthesis, root development, and hormonal balance. Full article

Alternaria leaf blight (ALB) is a major constraint to groundnut production, particularly in North Gujarat, where its incidence has intensified in recent years due to changing climatic conditions. Effective and sustainable disease management requires fungicides that not only suppress the pathogen but also promote plant growth. To identify such options, field experiments were conducted during 2016–2018 to evaluate the bioefficacy of nine fungicides, including five systemic, two contact, and two combination formulations. Among these, propiconazole 25 EC, tebuconazole 25 WG, and carbendazim 50 WP were the most effective in reducing disease intensity and slowing disease progression. The highest pod and haulm yields were recorded in plots treated with tebuconazole 25 WG, followed by propiconazole 25 EC and carbendazim 50 WP. However, the highest cost–benefit ratio was observed with carbendazim 50 WP, followed by propiconazole 25 EC and tebuconazole 25 WG. In addition, propiconazole 25 EC and tebuconazole 25 WG exhibited notable plant growth-promoting effects, enhancing plant height, root length, and chlorophyll content. Based on these findings, the application of propiconazole 25 EC or tebuconazole 25 WG is recommended for the effective and economical management of ALB in groundnut. Full article

Peanut cultivation currently plays a minor role in Portuguese agriculture, despite the country’s favorable soil and climatic conditions. In the Azores archipelago, where agriculture is a key economic activity, peanut production has recently sparked interest among rural producers. Weeds pose a major threat to crop development, particularly for short-cycle species like peanuts. This study aimed to determine the period prior to weed interference (PPI) in peanut crops under two row spacings (40 cm and 60 cm) on São Miguel Island, Azores. Eight treatments were established—0–15, 0–30, 0–45, 0–60, 0–75, 0–90 days after emergence (DAE), full-season coexistence, and a weed-free control—to represent increasing periods of weed competition. A randomized block design with four replicates was used for each spacing. The weed community included eight species, with Cyperus spp., Digitaria spp., Amaranthus blitum, and Portulaca oleracea being the most prevalent. Weed interference throughout the entire cycle led to yield losses exceeding 81% and 86% at 40 cm and 60 cm row spacings, respectively. The PPI was defined at a 5% yield reduction threshold, which is a commonly accepted benchmark in weed science to determine the beginning of the critical period of weed interference. Full article

Soybean cyst nematode (SCN) is a pathogen with serious impacts on soybean yields, yet traditional field-based assessment is labor-intensive and often ineffective for early interventions, and the existing spectral vegetation indices (VIs) also lack the ability to accurately detect SCN infested plants. This study aimed to develop an improved detection method using hyperspectral data. A greenhouse-based experiment was designed to collect 100 hyperspectral datasets from 20 soybean plants inoculated with four SCN egg levels (0–10,000) from the 68th to 97th day after planting. Based on spectral similarity and inoculation levels, three stress classes were defined as proxies for actual plant stress: healthy (0 egg), moderate (1000 and 5000 eggs), and severe (10,000 eggs). These classifications are based on predefined inoculation thresholds and spectral trends, which may not fully align with direct physiological stress measurements due to inherent variability in individual plant responses. Through analysis of variance (ANOVA), principal component analysis (PCA), feature selection, and classification comparison, a new spectral VI, called SCNVI, was proposed using bands 338 nm and 665 nm. The SCNVI coupled with eXtreme Gradient Boosting (XGBoost) achieved an accurate classification of 70% for three classes and outperformed the 12 traditional VIs. These findings suggest that integrating the SCNVI and XGBoost algorithm provides the potential for improving the detection of SCN infestation, though further validation in field environments is required to confirm its practical applicability. Full article

Climate change may soon impact popcorn productivity. The aim was to assess physiological and growth traits in two popcorn genotypes with different water use efficiency under water-deficit stress. The plants were grown in a greenhouse under either water stress (WS) or non-water stress (WW) conditions. Gas exchange, chlorophyll fluorescence, and leaf temperature were assessed every three days, for a total of nine measurements. At the end of the assessment period, growth traits and the SPAD index were evaluated. Our hypotheses were as follows: (a) plants of the P7 genotype (water-efficient agronomic genotype) would take longer than L65 plants (water-inefficient agronomic genotype) to reduce photosynthetic rates under water stress conditions; (b) after re-irrigation, P7 plants would recover photosynthetic capacity with values similar to the period without water stress; and (c) P7 plants would recover photosynthetic capacity faster than L65 plants when subjected to the same period of water stress. The P7 genotype (agronomic water-efficient genotype) absorbed water more quickly due to higher root biomass, root length, and root volume. Yet, at 14 days after suspending irrigation (DASI), the P7 genotype had the lowest net CO₂ assimilation rate (A_net), stomatal conductance (g_s), and transpiration rates (E) values. However, L65 (agronomic water-inefficient genotype) had the lowest A_net, g_s, and E values only at 17 DASI. As a consequence of stomatal closure in both genotypes, the E rates were reduced, and there was an increase in leaf temperature for WS plants, while L65 had higher leaf temperature at maximum water stress. No photochemical damage was detected, indicating that the reduced A_net in WS was likely due to stomatal limitations and biochemical disturbances in both genotypes. Photosynthetic recovery occurred gradually, with full restoration of rates in both genotypes at the end of the experiment. Although our initial hypothesis expected the P7 genotype to maintain photosynthesis longer under water stress, our findings showed an earlier decline in A_net compared to L65. This result is likely due to the large root system of P7 exhausting the limited soil water more rapidly in pot conditions, accelerating the onset of stress. Full article