The aim of the study was to determine the extent in which leaf and whole plant transpiration (Tp) were influenced by root hydraulic conductance (K(r)), leaf to root ratio and leaf mass. Also, the relationships between the anatomic characteristics of roots and K(r) were investigated. To this end, 9-month-old seedlings of the citrus rootstocks Cleopatra mandarin (CM), Poncirus trifoliata (PT), and their hybrids Forner-Alcaide no 5 (FA-5) and Forner-Alcaide no 13 (FA-13) and 15-month-old trees of Valencia orange budded on these four rootstocks were tested. The hybrid FA-13 and PT had higher values of K(r) and leaf transpiration rates (E) than FA-5 and CM. There was a positive curvilinear correlation between E and K(r). Furthermore, E levels in the different types of plants decreased with increased leaf/root (L/R) ratios. Pruning of the roots and defoliation confirmed that transpiration rates were strongly influenced by the L/R ratio. However, variations in E because of differences in L/R ratios were less pronounced in trees budded on FA-13 and PT than on the other two rootstocks. In addition, there was a positive correlation between Tp and leaf biomass, although differences between rootstocks may be attributed to differences in K(r). The average lumen diameter of xylem vessels was greater in rootstocks with high K(r). Size of epidermal and hypodermal cells of fibrous roots may also restrict K(r).
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http://dx.doi.org/10.1111/j.1399-3054.2010.01351.x | DOI Listing |
Plant Cell Environ
January 2025
Dipartimento di Scienze della Vita, Università di Trieste, Trieste, Italia.
Drought impacts trees in varied temporal and spatial patterns, suggesting that heterogeneity of below-ground water stores influences the fate of trees under water stress. Karst ecosystems rely on shallow soil overlying bedrock that can store available water in primary pores. A contribution of rock moisture to tree water status has been previously demonstrated, but actual mechanisms and rates of rock-to-root water delivery remain unknown.
View Article and Find Full Text PDFSci Rep
January 2025
Centre for Urban Greenery and Ecology, National Parks Board, Headquarters, Singapore Botanic Gardens, 1 Cluny Road, Singapore, 259569, Singapore.
The effectiveness of using vegetation to reinforce slopes is influenced by the soil and vegetation characteristics. Hence, this study pioneers the construction of an extensive soil database using random forest machine learning and ordinary kriging methods, focusing on the influence of plant roots on the saturated and unsaturated properties of residual soils. Soil organic content, which includes contributions from both soil organisms and roots, functions as a key factor in estimating soil hydraulic and mechanical properties influenced by vegetation roots.
View Article and Find Full Text PDFPLoS One
January 2025
Institute of Training and International Cooperation (ITIC), University of Transport Technology, Hanoi, Vietnam.
Solar energy generated from photovoltaic panel is an important energy source that brings many benefits to people and the environment. This is a growing trend globally and plays an increasingly important role in the future of the energy industry. However, it intermittent nature and potential for distributed system use require accurate forecasting to balance supply and demand, optimize energy storage, and manage grid stability.
View Article and Find Full Text PDFBioresour Technol
December 2024
College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China. Electronic address:
Microalgal-bacteria biofilm shows great potential in low-cost greywater treatment. Accurately predicting treated greywater quality is of great significance for water reuse. In this work, machine learning models were developed for simulating and predicting linear alkylbenzene sulfonate (LAS) removal using 152-days collected data from a battled oxygenic microalgal-bacteria biofilm reactor (MBBfR).
View Article and Find Full Text PDFBMC Plant Biol
December 2024
Department of Biotechnology and Plant Breeding, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran.
Here we report growth promoting effects of Cupriavidus metallidurans on plants, and provide evidence for the underlying mechanisms of the growth promoting effects. In a series of greenhouse experiments on tomato, maize, and wheat, complemented with genetic analysis of Arabidopsis mutants, we tested the effects of the bacteria on seed germination, root and shoot growth, metal uptake, gas exchange parameters, and stomatal and xylem traits in maize, wheat, and tomato plants. Results showed that the bacteria substantially accelerate seed germination, increase shoot and root biomass, enhance photosynthetic performance, acidify the rhizosphere, increase metal uptake, and modulate stomatal and xylem traits.
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