Optimizing agricultural management practices to promote ratoon rice yield during ratoon crop: A comprehensive global meta-analysis DOI
Shiwen Deng, Yousif Abdelrahman Yousif Abdellah, Hongyu Chen

et al.

Field Crops Research, Journal Year: 2025, Volume and Issue: 328, P. 109943 - 109943

Published: April 28, 2025

Language: Английский

Effects of Sediment Content, Flooding, and Drainage Process on Rice Growth and Leaf Physiology of Early Rice During Heading–Flowering Stage DOI Creative Commons
Shuo Cai,

W. J. Zhang,

Bingrui Wang

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(2), P. 334 - 334

Published: Jan. 28, 2025

In recent years, there has been a notable increase in the frequency and intensity of floods heavy rains, which resulted frequent inundation rice-growing areas. Flooding during heading–flowering stages early rice can result significant yield losses. To elucidate response to sediment content, flooding, drainage processes their underlying mechanisms, pot experiment was conducted investigate effects contents (S1: 0, S2: 0.10 kg m−3, S3: 0.25 m−3), flooding time (F1: 3 days F2: 6 days), (D1: D2: days) stage on oxidation resistance grain Poyang Lake Region. At same time, an experimental control group (CK) set up with no sediment, or treatment. The results showed that flag leaf area S1F1D2 treatment diminished by flooding. relative chlorophyll content (SPAD) reached its lowest value prior drainage. S2F2D1 greatest decrease SPAD 41.57%, only 53.88% activity superoxide dismutase (SOD), peroxidase (POD), malondialdehyde (MDA) were observed period comparison maximum values for these parameters recorded at 5.68, 3.09, 1.9 times higher than those treatment, respectively. However, after Furthermore, occurrence reduction number per spike fruiting rate, consequently leading considerable decline yields, ranging from 31.81% 69.96%. findings indicate yet enhanced antioxidant capacity leaves. Regression analyses indicated prediction model actual stress could be constructed using SFW as independent variable. this study provide theoretical basis formulation scientific reasonable scheme objective reducing loss following southern region China.

Language: Английский

Citations

0

Rice Yield and Nitrogen Use Efficiency Under Climate Change: Unraveling Key Drivers with Least Absolute Shrinkage and Selection Operator Regression DOI Creative Commons
Yingjun Ma, Menglong Sun,

Xianglong Liang

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(3), P. 677 - 677

Published: March 11, 2025

Rice (Oryza sativa L.), a staple crop vital to global food security, faces escalating threats from climate change and inefficient nitrogen management. This study employed least absolute shrinkage selection operator (LASSO) regression analyze the stage-specific impacts of application, temperature, rainfall on rice yield use efficiency (NUE) across three growing seasons (2020–2022) in Jiangsu Province, China. The key findings revealed following: (1) reproductive stages (flowering filling stages) exhibited extreme thermal sensitivity, with high temperatures (>35 °C) causing substantial losses (33.1% average) reducing recovery (NRE: 22.4–60.5% loss) translocation ratio (NTR: 26.3–61.6% loss); (2) vegetative (tillering jointing booting were highly rainfall-sensitive, during tillering (2.1–9.7 mm/day) influencing 50% traits, including four NUE types; (3) appropriate management (250–350 kgN·ha−1) mitigated heat-induced losses, increasing physiological (PNUE) by 30.0–41.8% under heat alleviating yield. further verified generalizability LASSO. Compared traditional models, LASSO overcomes issue multicollinearity can more effectively identify factors driving different spatial gradients. These provide actionable insights for optimizing application timing, improving climate-resilient breeding, developing adaptation strategies safeguard productivity warming.

Language: Английский

Citations

0

Evaluation of different Maximum Allowable Deficit (MAD) levels for rice under raised bed planting and flat sowing in Pakistan DOI Creative Commons
Shahzad Iqbal, Qiaorui Si, Asad Ali

et al.

Cogent Food & Agriculture, Journal Year: 2025, Volume and Issue: 11(1)

Published: March 12, 2025

Language: Английский

Citations

0

Soil and Plant Response to Different Depths of Film-Bottomed Tillage for Dryland Spring Wheat DOI Creative Commons
Zizhen Li, Qing Tian, Xiaolei Zhou

et al.

Journal of soil science and plant nutrition, Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Language: Английский

Citations

0

Effects of Water-Saving and Controlled Drainage Water Management on Growth Indices of Mechanically Transplanted Rice Under Side Deep Fertilization Conditions DOI Creative Commons
Ying Wang, Qingsheng Liu, Lihong Chen

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(8), P. 803 - 803

Published: April 8, 2025

This study aimed to improve water use efficiency at side deep fertilization paddy fields and reduce the direct discharge of tailwater from upstream dry-farming into Erhai Lake. Field experiments were conducted Lake Basin in 2023 2024. In this study, paddies used as storage basins. Two managements set with three replicates: flooding irrigation controlled drainage (CKCD), water-saving (CCD). The rice growth indicators observed. results show that, 2023, compared CKCD, root volume, root-to-shoot ratio, stem node spacing, diameter, plant height, tiller number, leaf area index yield CCD increased by 13.6, 19.6, 12.1, 4.1, 9.4, 3.0, 21.9, 6.5%, respectively. For CCD, total amount decreased 27.3%, while productivity 46.7%. 2024, there similar trends 2023. However, number 11 1.5%, Additionally, 52.5%, 1.4 kg/m3. There regulars soil temperature its relationship other indicates Soil was generally higher than CKCD. It positively correlated but negatively volume. volume height dry matter accumulation. Overall, approach could promote indices growth, increase capacity storage, consumption further achieve savings yields.

Language: Английский

Citations

0

The biophysical and crop yield effects of irrigation and their changes in China’s drylands DOI Creative Commons

Shuangshuang Zi,

Yan Li, Jingwen Zhang

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 313, P. 109471 - 109471

Published: April 16, 2025

Language: Английский

Citations

0

Effect of biochar application on yield, soil carbon pools and greenhouse gas emission in rice fields: A global meta-analysis DOI

Shenglin Wen,

Ningbo Cui, Yaosheng Wang

et al.

Agricultural and Forest Meteorology, Journal Year: 2025, Volume and Issue: 369, P. 110571 - 110571

Published: April 19, 2025

Language: Английский

Citations

0

Optimizing agricultural management practices to promote ratoon rice yield during ratoon crop: A comprehensive global meta-analysis DOI
Shiwen Deng, Yousif Abdelrahman Yousif Abdellah, Hongyu Chen

et al.

Field Crops Research, Journal Year: 2025, Volume and Issue: 328, P. 109943 - 109943

Published: April 28, 2025

Language: Английский

Citations

0