ArticleBMC plant biology2026
Optimized nitrogen management enhances lodging resistance by modulating stem physicochemical traits in oats.
Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Genotype-Dependent Effects of Silicon on Cell Wall Composition and Antioxidant Responses in Oats Under Nitrogen Deficiency.Plants (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundOat (Avena sativa L.) is a critical dual-purpose crop for grain and forage, yet its yield potential is frequently constrained by stem lodging exacerbated by sub-optimal nitrogen (N) management. While the general physiological basis of lodging is known, the precise quantitative contributions of specific stem physicochemical traits under varying N regimes remain underexplored, particularly in unique high-altitude agroecosystems. To address this gap, we conducted a two-year field trial (2018-2019) in the rain-fed Qinghai-Tibet Plateau, evaluating two oat cultivars with contrasting lodging resistance (LENA, resistant; QY2, susceptible). Across six N rates (0, 60, 120, 180, 240, and 300 kg·ha⁻¹), we quantified structural components (lignin, cellulose), non-structural carbohydrates (soluble sugars, starch), and mineral elements (Ca, K, Si, Mg) in the second basal internode at the milk stage. Key determinants of stem strength were isolated using hierarchical partitioning, structural equation modeling (SEM), and TOPSIS analysis.
resultsLodging severity and stem physicochemical profiles were significantly driven by N rate, genotype, and their interaction. Increased N application elevated soluble protein levels but concurrently suppressed the accumulation of lignin, cellulose, and key minerals (Si, Ca, K). Hierarchical partitioning identified Ca, K, Si, soluble sugars, and lignin as the primary determinants, collectively explaining 87% of the variance in the lodging index. Furthermore, SEM revealed that genotype and high N inputs indirectly exacerbated lodging risk by downregulating the accumulation of these critical structural and mineral components. Total standardized effects on the lodging index were - 0.209 (genotype), 0.310 (N rate), and 0.156 (interaction).
conclusionsBased on the comprehensive production and lodging resistance performance, it is suggested that in the study area and similar ecological areas of the Qinghai-Tibet Plateau, the suitable nitrogen application rate of the lodging-resistant variety LENA should be 180 kg·hm
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.