Cited by Newer wheat cultivars achieved greater yield and water productivity through root and canopy synergies in the North China Plain

Breeding for high maize yields indirectly boosting root carbon in the US Corn Belt since the 1980s DOI

Cintia Sciarresi, August Thies, Christopher N. Topp

et al.

Field Crops Research, Journal Year: 2025, Volume and Issue: 323, P. 109774 - 109774

Published: Feb. 3, 2025

Language: Английский

Citations

Performance of different corn hybrids and their corresponding water consumption analysis under various water management practices: Insights from experiments conducted under rain-shelters based on the TOPSIS method DOI

Lei Wang,

Jing Chen, Zhenyu Chu

et al.

European Journal of Agronomy, Journal Year: 2025, Volume and Issue: 168, P. 127587 - 127587

Published: March 25, 2025

Language: Английский

Citations

Historical increases in plant density increased vegetative maize biomass while breeding increased reproductive biomass and allocation to ear over stem DOI

Ezequiel Saenz, Alejo Ruiz, Cintia Sciarresi

et al.

Field Crops Research, Journal Year: 2024, Volume and Issue: 322, P. 109704 - 109704

Published: Dec. 12, 2024

Language: Английский

Citations

Interpretable LAI Fine Inversion of Maize by Fusing Satellite, UAV Multispectral, and Thermal Infrared Images DOI

Yu Yao, Hengbin Wang, Xiao Yang

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(3), P. 243 - 243

Published: Jan. 23, 2025

Leaf area index (LAI) serves as a crucial indicator for characterizing the growth and development process of maize. However, LAI inversion maize based on unmanned aerial vehicles (UAVs) is highly susceptible to various factors such weather conditions, light intensity, sensor performance. In contrast satellites, spectral stability UAV-based data relatively inferior, phenomenon “spectral fragmentation” prone occur during large-scale monitoring. This study was designed solve problem that UAVs difficult achieve both high spatial resolution consistency. A two-stage remote sensing fusion method integrating coarse fine proposed. The SHapley Additive exPlanations (SHAP) model introduced investigate contributions 20 features in 7 categories maize, canopy temperature extracted from thermal infrared images one them. Additionally, most suitable feature sampling window determined through multi-scale experiments. grid search used optimize hyperparameters models Gradient Boosting, XGBoost, Random Forest, their accuracy compared. results showed that, by utilizing 3 × 9 with highest contributions, whole stage Forest could reach R2 = 0.90 RMSE 0.38 m2/m2. Compared single UAV source mode, enhanced nearly 25%. jointing, tasseling, filling stages were 0.87, 0.86, 0.62, respectively. Moreover, this verified significant role inversion, providing new

Language: Английский

Citations

Optimizing Sowing Time and Density Can Synergistically Improve the Productivity and Quality of Strong-Gluten Wheat in Different Ecological Regions of Shandong Province DOI

Guangzhou Chen,

Wen Yu,

Y. Zheng

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(3), P. 372 - 372

Published: Jan. 26, 2025

Timely sowing is a crucial cultivation practice for enhancing crop productivity. In Shandong Province, inadequate supporting techniques are the primary factors limiting yield and quality improvement of high-quality strong-gluten wheat (Triticum aestivum L.). A promising strategy achieving synergistic improvements in both involves matching date density to specific ecological conditions each region. To explore this approach, we conducted continuous field experiments at three testing stations—Jining, Dezhou, Yantai—across major wheat-growing regions Province from 2019 2021. Four dates (T1: October 5; T2: 15; T3: 25; T4: November 5) seven planting densities (ranging 135 × 104 plants ha−1 405 ha−1, denoted as D1–D7) were tested location. The results revealed that zone initially increased, then decreased delayed. Jining high grain yields typically observed all under T3, while Yantai showed optimal T2. Specifically, achieved highest 9326.6 kg with 315 on 25 (T3D5), Dezhou reached their maximum 225 15 (T2D3), 8784.0 9366.3 respectively. Except compliance rate sites followed an increasing trend initially, which declined later dates. Yantai, rates most frequently T2, T1. conclusion, selecting appropriate can lead across Shandong’s regions.

Language: Английский

Citations

Enhancing maize yield and water productivity through coordinated root-shoot growth under mild water stress in dense planting DOI

Yining Ma, Jiawei Ren,

Shengju Yang

et al.

Field Crops Research, Journal Year: 2025, Volume and Issue: 323, P. 109786 - 109786

Published: Feb. 5, 2025

Language: Английский

Citations

Novel Machine Learning Approaches for Accurate Leaf Area Estimation in Apples DOI

Hüsnü Demirsoy, Erdem Küçüktopçu, Derviş Emre Doğan

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 67(2)

Published: March 11, 2025

Language: Английский

Citations

Mild water deficit under reasonable dense planting ensures maize yield and improves water use efficiency by coordinating source-sink relationship DOI

Yining Ma,

Shengju Yang,

Risheng Ding

et al.

Field Crops Research, Journal Year: 2025, Volume and Issue: 327, P. 109888 - 109888

Published: April 6, 2025

Language: Английский

Citations

Modern maize hybrids have increased grain yield and efficiency tolerances to nitrogen-limited conditions DOI

Raziel A. Ordóñez, Lía B. Olmedo Pico, Antonella Ferela

et al.

European Journal of Agronomy, Journal Year: 2025, Volume and Issue: 168, P. 127621 - 127621

Published: April 8, 2025

Language: Английский

Citations

Newer wheat cultivars achieved greater yield and water productivity through root and canopy synergies in the North China Plain DOI

Yukui Fu,

Jiayue Dai,

Yang Han

et al.

Field Crops Research, Journal Year: 2025, Volume and Issue: 328, P. 109880 - 109880

Published: April 17, 2025

Language: Английский

Citations