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In oilseed rape ( L.), sulphur (S) limitation leads to a reduction of seed yield and nutritional quality, but also to a reduction of seed viability and vigour. S metabolism is known to be involved in the control of germination sensu stricto and seedling establishment. Nevertheless, how the germination and the first steps of plant growth are impacted in seeds produced by plants subjected to various sulphate limitations remains largely unknown. Therefore, this study aimed at determining the impact of various S-limited conditions applied to the mother plants on the germination indexes and the rate of viable seedlings in a spring oilseed rape cultivar (cv. Yudal). Using a S-sulphate pulse method, the sulphate uptake capacity during the seedling development was also investigated. The rate of viable seedlings was significantly reduced for seeds produced under the strongest S-limited conditions. This is related to a reduction of germination vigour and to perturbations of post-germinative events. Compared to green seedlings obtained from seeds produced by well-S-supplied plants, the viable seedlings coming from seeds harvested on plants subjected to severe S-limitation treatment showed nonetheless a higher dry biomass and were able to enhance the sulphate uptake by roots and the S translocation to shoots.
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http://dx.doi.org/10.3390/plants8010012 | DOI Listing |
Beilstein J Nanotechnol
August 2025
Nanotechnology Lab, Research Laboratories of Saigon Hi-Tech Park, Lot I3, N2 Street, Tang Nhon Phu Ward, Ho Chi Minh City 70000, Vietnam.
Silver nanoprisms (AgNPrs) are promising candidates for surface-enhanced Raman scattering (SERS) due to their strong localized surface plasmon resonance and sharp tip geometry. In this study, AgNPrs were synthesized through a photochemical method by irradiating spherical silver nanoparticle seeds with 10 W green light-emitting diodes (LEDs; 520 ± 20 nm) for various periods of time up to 72 h. The growth mechanism was investigated through ultraviolet-visible spectroscopy, field-emission scanning electron microscopy, X-ray diffraction, and transmission electron microscopy analyses, confirming the gradual transformation of spherical seeds into AgNPrs.
View Article and Find Full Text PDFTheor Appl Genet
September 2025
State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Hybrid breeding based on male sterility requires the removal of male parents, which is time- and labor-intensive; however, the use of female sterile male parent can solve this problem. In the offspring of distant hybridization between Brassica oleracea and Brassica napus, we obtained a mutant, 5GH12-279, which not only fails to generate gynoecium (thereby causing female sterility) but also has serrated leaves that could be used as a phenotypic marker in seedling screening. Genetic analysis revealed that this trait was controlled by a single dominant gene.
View Article and Find Full Text PDFJ Biomed Mater Res B Appl Biomater
September 2025
Fertility and Infertility Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
In the current in vitro experiment, we fabricated and characterized placenta/platelet-rich plasma (PL/Pt) composite scaffolds and evaluated their effect on differentiating adipose stem cells (ASCs) into insulin-producing cells (IPCs) in vitro. The human placenta (PL) was decellularized (dPL), characterized, and digested in pepsin. PRP was extracted using a two-step centrifugation process and then freeze-dried.
View Article and Find Full Text PDFJ Food Sci
September 2025
Faculty of Computing, Federal University of Uberlandia, Uberlândia, Brazil.
The coffee roasting process is a critical factor in determining the final quality of the beverage, influencing its flavour, aroma, and acidity. Traditionally, roast-level classification has relied on manual inspection, which is time-consuming, subjective, and prone to inconsistencies. However, advancements in machine learning (ML) and computer vision, particularly convolutional neural networks (CNNs), have shown great promise in automating and improving the accuracy of this process.
View Article and Find Full Text PDFFood Nutr Bull
September 2025
Tajik Academy of Agricultural Sciences, Dushanbe, Tajikistan.
BackgroundDespite a growing interest in household-level agriculture-nutrition linkage, evidence remains thin in countries like Tajikistan, one of the poorest former socialist countries where food crop production decisions by individual farm households had been significantly regulated by the government until recently.ObjectivesWe narrow this knowledge gap by examining the linkages between households' food production practice as well as their productivity performances and dietary diversity scores (DDS) of both the household and individual women in Tajikistan.MethodsWe use a panel sample of households and individual women of reproductive ages in the Khatlon province of Tajikistan, the poorest province and a major agricultural region of the country.
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