Effects of elevated atmospheric [CO2] on plant isoprene emissions are controversial. Relying on leaf-scale measurements, most models simulating isoprene emissions in future higher [CO2] atmospheres suggest reduced emission fluxes. However, combined effects of elevated [CO2] on leaf area growth, net assimilation and isoprene emission rates have rarely been studied on the canopy scale, but stimulation of leaf area growth may largely compensate for possible [CO2] inhibition reported at the leaf scale. This study tests the hypothesis that stimulated leaf area growth leads to increased canopy isoprene emission rates. We studied the dynamics of canopy growth, and net assimilation and isoprene emission rates in hybrid aspen (Populus tremula × Populus tremuloides) grown under 380 and 780 μmol mol(-1) [CO2]. A theoretical framework based on the Chapman-Richards function to model canopy growth and numerically compare the growth dynamics among ambient and elevated atmospheric [CO2]-grown plants was developed. Plants grown under elevated [CO2] had higher C : N ratio, and greater total leaf area, and canopy net assimilation and isoprene emission rates. During ontogeny, these key canopy characteristics developed faster and stabilized earlier under elevated [CO2]. However, on a leaf area basis, foliage physiological traits remained in a transient state over the whole experiment. These results demonstrate that canopy-scale dynamics importantly complements the leaf-scale processes, and that isoprene emissions may actually increase under higher [CO2] as a result of enhanced leaf area production.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/nph.12200 | DOI Listing |
Sci Total Environ
January 2025
CATIE, Centro Agronómico Tropical de Investigación y Enseñanza, Turrialba 30501, Costa Rica.
Agricultural systems are both emitters of greenhouse gases and have the potential to sequester carbon, especially agroforestry systems. Coffee agroforestry systems offer a wide range of intensities of use of agricultural inputs and densities and management of shade trees. We assessed the agronomic carbon footprint (up to farm gate) and modelled the carbon sequestration of a range of coffee agroforestry systems across 180 farms in Costa Rica and Guatemala.
View Article and Find Full Text PDFPLoS One
January 2025
Entomology & Biothreat Management Division, Defense Research Laboratory (DRL-DRDO), Tezpur, Assam, India.
Cotton leaf curl disease (CLCuD) is a major constraint for production of cotton (Gossypium sp.) in Northwest India. CLCuD is caused by a monopartite, circular ssDNA virus belonging to the genus Begomovirus in association with betasatellites and alphasatellites, and ttransmitted by a whitefly vector (Bemisia tabaci).
View Article and Find Full Text PDFTransgenic Res
January 2025
Shaanxi Tobacco Company Baoji City Company, Baoji, 721000, Shaanxi, China.
The involvement of Loose Plant Architecture 1 (LPA1) in regulating plant growth and leaf angle has been previously demonstrated. However, the fundamental genetic background remains unidentified. To further understand the tissue expression profile of the NtLPA1 gene, an overexpression vector (pBI121-NtLPA1) was developed and employed to modify tobacco using the leaf disc method genetically.
View Article and Find Full Text PDFInt J Syst Evol Microbiol
January 2025
Key Laboratory of Agricultural Microbiomics and Precision Application (MARA), Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Key Laboratory of Agricultural Microbiome (MARA), State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, PR China.
Three aerobic, pink-pigmented, Gram-negative, motile and rod-shaped bacterial strains, designated SD21, SI9 and SB2, were isolated from the phyllosphere of healthy litchis collected from three main producing sites of Guangdong Province, PR China. The 16S rRNA gene analysis showed that strains SD21 and SI9 belonged to the genus (.) with the highest similarity to DSM 19563 (98.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
SAIHST, Sungkyunkwan University, Seoul, Korea, Republic of (South).
Background: Brain diseases complexity have necessitated advanced research platforms for better understanding, treatment, and prevention strategies. However, existing brain disease registries face limitations such as incomplete variable sets, lack of standardization, insufficient linkage to external databases, absence of integrated platforms for comprehensive data collection, and lack of continuity. To address these challenges, the Korea National Institute of Health initiated the Brain disease Research Infrastructure for Data Gathering and Exploration (BRIDGE), a national prospective platform designed to overcome the shortcomings of current registries.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!