Results 81 to 90 of about 20,450,101 (185)

Exploring the Genetic Architecture of Root-Related Traits in Mediterranean Bread Wheat Landraces by Genome-Wide Association Analysis

open access: yesAgronomy, 2020
Background: Roots are essential for drought adaptation because of their involvement in water and nutrient uptake. As the study of the root system architecture (RSA) is costly and time-consuming, it is not generally considered in breeding programs.
Rubén Rufo   +3 more
doaj   +1 more source

Microbial Partnerships for Sustainable Soybean Cultivation: Mechanisms, Applications and Prospects

open access: yesPlant, Cell &Environment, EarlyView.
ABSTRACT Soybean production is increasingly threatened by fluctuating environmental conditions and nutrient limitations. While synthetic fertilisers can alleviate these constraints, their excessive use has raised concerns regarding long‐term soil health. Consequently, leveraging beneficial soil microbes, a diverse group of microorganisms that reside in
Carolina A. Contador   +4 more
wiley   +1 more source

Advances in understanding grain legume physiology: understanding root architecture, nutrient uptake and response to abiotic stress

open access: yes, 2018
Root system architecture (RSA) influences root foraging and resource uptake from the soil and thus determines plant growth and productivity in grain legumes.
Chen, Ying Long   +2 more
core   +1 more source

Root trait dynamics of historical canola varieties under low and high nitrogen supply

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Nitrogen fertilizer is a major input cost in crop production, making it crucial to enhance nitrogen use efficiency (NUE) to reduce fertilizer dependence without compromising yields. Root system architecture (RSA) is a key determinant of nutrient acquisition, particularly under nutrient‐limited conditions.
Shankar Pahari, Raju Soolanayakanahally
wiley   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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

Capturing Arabidopsis Root Architecture Dynamics with root-fit Reveals Diversity in Responses to Salinity [PDF]

open access: yes, 2014
The plant root is the first organ to encounter salinity stress, but the effect of salinity on root system architecture (RSA) remains elusive. Both the reduction in main root (MR) elongation and the redistribution of the root mass between MRs and lateral ...
Haring, M.A.   +6 more
core   +1 more source

Linking Root System Architecture (RSA), Photosynthetic Efficiency, and Biomass Productivity in a Switchgrass (Panicum virgatum L.) Half-Sib Panel

open access: yes
Abstract Switchgrass ( Panicum virgatum L.) is a perennial forage crop for renewable fuel production. However, biomass yield is a complex trait shaped by physiological and root characteristics.
Jazib Ali Irfan   +2 more
openaire   +1 more source

Root and shoot phenotyping elucidate plant growth‐promoting microorganisms effects on wheat under water deficit

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water scarcity represents a major constraint to crop productivity, increasing interest in sustainable strategies such as plant growth‐promoting microorganisms (PGPM). This study investigated the effects of a commercial PGPM consortium, composed of four Bacillus spp.
Christian Lorenz   +3 more
wiley   +1 more source

PhenoRoots: an inexpensive non-invasive phenotyping system to assess the variability of the root system architecture

open access: yesScientia Agricola, 2019
: The root system architecture (RSA) of plants and its functioning play a fundamental role in a number of plant growth mechanisms including water and nutrient uptake.
Saulo Muniz Martins   +7 more
doaj   +1 more source

Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions

open access: yesSoftware: Practice and Experience, Volume 56, Issue 12, Page 1538-1556, December 2026.
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai   +5 more
wiley   +1 more source

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