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Biochar (BC) soil amendments could partially counteract soil carbon (C) stock decrease in broad-leaved forests in Italy; however, its effects on the growth of representative tree species—Fagus sylvatica L. and Quercus cerris L.—has not yet been addressed. We examine whether seed germination and growth of these species are affected by addition of BC obtained from deciduous broadleaf trees. Seeds were left to germinate in greenhouse conditions under three different BC amendments: 0% (control), 10% and 20% (v/v). Seedlings were then subjected to controlled conditions under the same BC percentage. Biochar effects on seed germination were assessed measuring germination time and percentage, while effects on photosynthesis were assessed using leaf chlorophyll content (mg/m2) and photosynthetic efficiency (FV/FM). Plant growth was estimated by recording leaf number, longest leaf length and plant height. Biochar treatments had no negative effects on germination and early growth stage of the two species. Positive effects were found on the chlorophyll content of both species (ca. +8%) regardless of the treatment and on the leaf number (+30%), leaf length (+14%) and plant height (+48%) of Q. cerris (only with 10% BC). Biochar applications seem, therefore, a suitable method for increasing broad-leaved forest C stock in Italy.
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http://dx.doi.org/10.3390/plants11233254 | DOI Listing |
Front Plant Sci
August 2025
Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, China.
Introduction: Compared to the large number of chloroplast genome resources in , only six mitogenomes (belonging to three sections) have been reported. To date, no mitogenome has been reported for section , a representative species whose chloroplast genome has been characterized, is an endangered tree endemic to the montane cloud forests of southern China.
Methods: In this study, we assembled and annotated the mitogenome of section () for the first time using the HiFi reads.
Sci Rep
September 2025
Department of Biosciences and Territory, University of Molise, Pesche, Italy.
Accurate species identification, the first crucial step for effective root studies, is a time-demanding, experience-based and error-prone process. Molecular methods are therefore needed to ensure this process, especially in urban settings where root sampling is challenging. Here, we developed a novel molecular method for root identification in complex environments.
View Article and Find Full Text PDFEcol Evol
September 2025
CEFE, CNRS, EPHE, IRD Univ Montpellier Montpellier France.
Knowledge of the intraspecific variability of volatiles produced by plants is central for estimating their fluxes from ecosystems and for understanding their evolution in an ecological and phylogenetic context. Past studies suggested that volatile emissions from Cork oak ( L.) exhibit a high degree of qualitative and quantitative polymorphism.
View Article and Find Full Text PDFEcol Evol
June 2025
Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Life Science Nanjing Forestry University Nanjing China.
This study investigated leaf phenotypic variation in oak species to better understand how different groups of oaks adapt to diverse environmental conditions. We examined the leaf phenotypic traits of six oak populations in two mixed forests with differing species compositions: Zijin Mountain in Jiangsu Province, composed of , , and ; and Youhua Village in Anhui Province, consisting of , , and . The results indicated that species in the group (, , and ) exhibited stable leaf morphology and higher fluctuating asymmetry (FA), suggesting adaptation to stable environments.
View Article and Find Full Text PDFAppl Spectrosc
July 2025
University of Bergen, Department of Biological Sciences, Bergen, Norway.
Vibrational spectroscopy is gaining popularity for understanding ecological and evolutionary patterns in plants, particularly in relation to the analysis of pollen grains. So far, Fourier transform infrared spectroscopy (FT-IR) has been the main approach used to classify pollen grains based on chemical variations. However, FT-IR may be less suitable for detecting differences in the pollen grain exine, mainly composed of sporopollenin.
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