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The combined effects of deficit irrigation and crop load level on sweet cherry ( L.) physiological and agronomic response were evaluated during the 2019 season in a commercial orchard located in southeastern Spain. Two irrigation treatments were imposed: (i) control treatment (CTL) irrigated above crop water requirements at 110% of crop evapotranspiration (ET) and (ii) a deficit irrigation treatment (DI) irrigated at 70% ET. Within each irrigation treatment, crop load was adjusted to three levels: 100% (natural crop load-high), 66% (medium crop load), and 33% (low crop load). The water relations results were more affected by the irrigation strategies applied than by the crop load management. The deficit irrigation strategy applied reduced soil water availability for DI trees, which led to a continuous decrease in their gas exchange and stem water potential. At harvest, the fruit water potential and osmotic potential of cherries from the DI treatment resulted in significantly lower values than those measured in cherries from CTL trees. On the other hand, both the irrigation strategies imposed and the crop load management used impacted fruit quality. Trees with the lowest level of crop load had fruits of greater size, regardless of the irrigation treatment assayed, and in the DI treatment, cherries from the trees with the lowest crop load were darker and more acidic than those from the trees with the highest crop load. Our results emphasize the different effects that rainfall before harvest has on mature cherries. Thus, cracked cherries at harvest represented 27.1% of the total yield of CTL trees while they were 8.3% of the total yield in DI trees. Cherries from CTL trees also showed a greater cracking index than those from DI trees. Moreover, a linear relationship between crop load and fruit cracked at harvest was observed, particularly for the CTL treatment; thus, the lower the crop load, the greater the proportion of cracked cherries.
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http://dx.doi.org/10.3390/plants11233249 | DOI Listing |
Int J Biol Macromol
August 2025
National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan 430070, China; Hubei Key Laboratory of Plant Pathology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuha
Papain-like cysteine proteases (PLCPs) are key regulators of diverse physiological processes, yet their role in mediating plant-microbe interactions remains elusive. Through transcriptomic profiling of rice roots inoculated with soil microbiota, we identified 3777 genes that were specifically responsive to soil microbial colonization. Among these microbiota-responsive genes, a conserved gene cluster of four PLCPs (OsCP14, OsCP16, OsCP19, and OsCP25) exhibited root-specific and microbiota-inducible expression.
View Article and Find Full Text PDFToxics
July 2025
Soil Science Laboratory, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, University Campus, 541 24 Thessaloniki, Greece.
This study investigates the heavy metal contamination in urban and peri-urban soils of Thessaloniki, Greece, over a two-year period (2023-2024). A total of 208 composite soil samples were systematically collected from 52 sites representing diverse land uses, including high-traffic roadsides, industrial zones, residential neighborhoods, parks, and mixed-use areas, with sampling conducted both after the wet (winter) and dry (summer) seasons. Soil physicochemical properties (pH, electrical conductivity, texture, organic matter, and calcium carbonate content) were analyzed alongside the concentrations of heavy metals such as Cd, Co, Cr, Cu, Mn, Ni, Pb, and Zn.
View Article and Find Full Text PDFBull Entomol Res
August 2025
Division of Basic Sciences, ICAR-Indian Institute for Horticultural Research, Bengaluru, KA, India.
Gene expression can be quantified using the sensitive technique of quantitative reverse transcription real-time polymerase chain reaction. Inter-sample variances can be minimised through normalisation with an appropriate reference gene, a significant insect vector of the Begomovirus family, transmits the , for which there is a dearth of information regarding appropriate reference genes for autophagy. The viral load surpasses the vector's capacity when autophagy is activated, which is also detrimental to whiteflies, particularly concerning virus translocation.
View Article and Find Full Text PDFJ Environ Manage
August 2025
Center for Sustainability and Global Environment, Nelson Institute for Environmental Studies, University of Wisconsin-Madison, Madison, WI, USA; Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, USA.
Excess nutrients in aquatic systems can cause hypoxia, eutrophication, and algal blooms resulting in substantial modification and losses of ecosystem services. Given limited resources, approaches are needed to address water quality issues efficiently and effectively. Prioritized conservation efforts aim to concentrate resources on areas with the greatest impact and have been shown to be effective in mitigating agricultural non-point source nutrients reaching receiving waters.
View Article and Find Full Text PDFMethodsX
December 2025
Department of Computer Engineering, SVKM's NMIMS Deemed to be University Mukesh Patel School of Technology Management & Engineering, Mumbai, 400056, India.
Convolution Neural Networks (CNN) are best in their ability to detect rice diseases but still face challenges in generalizing equally well for all classes of disease in multiclass classification. Detecting rice crop disease like sheath rot is still challenging due to unavailability of dataset and intraclass variations in symptoms. Transfer learning models take more resources for execution due to its deep architecture.
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