Plants, Volume 14, Issue 8

Water availability is a key factor affecting both morphological development and secondary metabolite production in Cannabis sativa L. This study evaluated the effects of water stress applied during the vegetative and flowering stages on plant perform...

Mountain grassland ecosystems around the globe are highly sensitive to seasonal extreme climate events, which thus highlights the critical importance of understanding how such events have affected vegetation dynamics over recent decades. However, res...

Cassava, an essential food crop, is valued for its tolerance to infertile soils. This study explores the role of C-terminally encoded peptides (CEPs) in cassava, mainly focusing on MeCEP6 and its function in nitrate uptake and plant growth. A compreh...

Utilizing high-throughput Illumina sequencing, we examined how small RNA (sRNA) profiles vary in Chinese white poplar (Populus tomentosa) across two pivotal infection stages by the rust fungus Melampsora larici-populina: the biotrophic growth phase (...

Larch dieback disease, caused by Neofusicoccum laricinum, severely affects forest health and productivity. To effectively curb the occurrence of this disease, a powder formulation of Bacillus amyloliquefaciens JL54 was developed through spray drying....

Nickel (Ni) pollution poses significant threats to human health and crop development through the food chain. This study aimed to identify the novel genomic regions and superior alleles associated with Ni accumulation in wheat (Triticum aestivum L.) g...

Human activities have increased the imbalance in atmospheric N and P deposition, which changes soil nutrient availability and subsequently affects the structure and function of terrestrial ecosystems. Dioecious plants are important parts of terrestri...

This paper provides a revision of Porella in the Korean Peninsula based mostly on a study of the collections housed in the herbaria of Jeonbuk National University (JNU) using an integrative approach to systematize the liverwort, as well as a study of...

Tea (Camellia sinensis L.) disease detection in complex field conditions faces significant challenges due to the scarcity of labeled data. While current mainstream visual deep learning algorithms depend on large-scale curated datasets. To address thi...

Over the past two decades, the rapid development of functional genomics has gradually clarified the regulatory effects of genotypes on phenotypes [...]