Results 141 to 150 of about 45,962 (229)
ABSTRACT Predicting plant functioning in a warming world requires capturing its divergent responses to hot versus dry vapour pressure deficit (VPD) increases. Stomatal responses to VPD are typically studied without disentangling the effects of RH and temperature, creating uncertainties for future plant functioning.
Aaron Potkay +9 more
wiley +1 more source
ABSTRACT Sorghum anthracnose caused by Colletotrichum sublineola (C. sublineola) is a destructive disease leading to severe crop damages. Pterostilbene is a phytoalexin that contributes to defence responses in sorghum, but the transcriptional regulation of its biosynthesis remained poorly understood.
Yajing Li +5 more
wiley +1 more source
Die unterschiedliche Geschlechtsrealisierung in der getrenntgeschlechtlichen Wildform Vitis vinifera ssp. sylvestris und in der hermaphroditischen Form der Kulturrebe Vitis vinifera ssp. vinifera ist ein komplexer, bis heute nicht aufgeklärter Vorgang. Aufgrund des zweigeschlechtlichen Grundzustandes der Blüten beider Subspezies wird davon ausgegangen,
openaire +3 more sources
Pre‐treatment of grapevine plants with oregano essential oil vapour alleviates downy mildew susceptibility by accumulation of monoterpenol glycosides. Abstract Grapevine downy mildew, caused by the oomycete Plasmopara viticola, is a destructive disease that causes major economic losses as most elite grapevine cultivars are susceptible to this pathogen.
J. R. P. E. Mars +6 more
wiley +1 more source
Abstract Water scarcity is a major threat to crop production and quality. Improving drought tolerance through variety selection requires a deeper understanding of plant ecophysiological responses, but large‐scale phenotyping remains a bottleneck. This study assessed the potential of high‐throughput tools (spectroscopy and poro‐fluorometry) to predict ...
Eva Coindre +13 more
wiley +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Vitis laciniosa Linnaeus, Species Plantarum 1: 203. 1753. “Habitat– - - –” RCN: 1644. Type not designated. Original material: Herb. Linn. No. 281.6 (LINN); Herb. Clifford: 74, Vitis 2 (BM); [icon] in Bauhin & Cherler, Hist. Pl. Univ. 2: 73. 1651; [icon] in Cornut, Canad. Pl. Hist.: 182, 183. 1635. Current name: Vitis vinifera L. (Vitaceae).
openaire +3 more sources
A systematic color correction pipeline for controlled‐environment imaging
ABSTRACT We present a stepwise color correction (CC) pipeline for controlled imaging environments. The workflow integrates flat‐field correction (FFC), gamma correction, and white‐balance correction, followed by a color‐mapping (CM) stage using machine‐learning regression—linear, partial least squares, and neural networks (NNs)—to deliver reliable CC ...
Collins Wakholi +7 more
wiley +1 more source
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal +8 more
wiley +1 more source
Benchmarking of Reference‐Based Tools for Strain‐Level Resolution of Plant Microbiome
ABSTRACT Strain‐level identification of each microbe is crucial for understanding its role in the host. Most of the existing tools have primarily been evaluated on human metagenomic datasets, whereas the plant microbiome exhibits greater diversity and complexity and thus poses a challenge in the strain‐level resolution of individual microbes.
Rishav Sahil, Mukesh Jain
wiley +1 more source

