Effects of semi-deep water irrigation on hybrid indica rice lodging resistance

Water and Fertilizer Management Is an Important Way to Synergistically Enhance the Yield, Rice Quality and Lodging Resistance of Hybrid Rice

This study comprehensively investigated the synergistic effects and underlying mechanisms of optimized water and fertilizer management on the yield, quality, and lodging resistance of hybrid rice (Oryza sativa), through a two-year field experiment. Two hybrid rice varieties, Xinxiangliangyou 1751 (XXLY1751) and Yueliangyou Meixiang Xinzhan (YLYMXXZ), were subjected to three irrigation methods (W1: wet irrigation, W2: flooding irrigation, W3: shallow-wet-dry irrigation) and four nitrogen fertilizer treatments (F1 to F4 with application rates of 0, 180, 225, and 270 kg ha-1, respectively). Our results revealed that the W1F3 treatment significantly enhanced photosynthetic efficiency and non-structural carbohydrate (NSC) accumulation, laying a robust foundation for high yield and quality. NSC accumulation not only supported rice growth but also directly influenced starch and protein synthesis, ensuring smooth grain filling and significantly improving yield and quality. Moreover, NSC strengthened stem fullness and thickness, converting them into structural carbohydrates such as cellulose and lignin, which substantially increased stem mechanical strength and lodging resistance. Statistical analysis demonstrated that water and fertilizer treatments had significant main and interactive effects on photosynthetic rate, dry matter accumulation, yield, quality parameters, NSC, cellulose, lignin, and stem bending resistance. This study reveals the intricate relationship between water and fertilizer management and NSC dynamics, providing valuable theoretical and practical insights for high-yield and high-quality cultivation of hybrid rice, significantly contributing to the sustainable development of modern agriculture.

Multi-phenotype response and cadmium detection of rice stem under toxic cadmium exposure

Rice stem is the sole conduit for cadmium translocation from underground to aboveground. The presence of cadmium can trigger responses of rice stem multi-phenotype, affecting metabolism, reducing yield, and altering composition, which is related to crop growth, food safety, and new energy utilization. Exploring the adversity response of plant phenotypes can provide a reliable assessment of growth status. However, the phytotoxicity and mechanism of cadmium stress on rice stem remain unclear. Here, we systematically revealed the response mechanisms of cadmium accumulation, adversity physiology, and morphological characteristic in rice stem under cadmium stress for the first time with concentration gradients of CK, 5, 25, 50, and 100 μM, and duration gradients of Day 5, Day 10, Day 15, and Day 20. The results indicated that cadmium stress led to a significant increase in cadmium accumulation, accompanied by the adversity response in stem phenotypes. Specifically, cadmium can cause fluctuations in soluble protein and disturbance of malondialdehyde (MDA), which reflects lipid peroxidation induced by cadmium accumulation. Lipid peroxidation inhibited rice growth by causing (1) a reduction in stem length, diameter, and weight, (2) suppression of air cavity, vascular bundle, parenchyma, and epidermal hair, and (3) disruption of cell structure. Furthermore, rapid detection of cadmium was realized based on the combination of laser-induced breakdown spectroscopy (LIBS) and machine learning, which took less than 3 min. The established qualitative model realized the precise discrimination of cadmium stress degrees with a prediction accuracy exceeding 92 %, and the quantitative model achieved the outstanding prediction effect of cadmium, with Rp of 0.9944. This work systematically revealed the phytotoxicity of cadmium on rice stem multi-phenotype from a novel perspective of lipid peroxidation and realized the rapid detection of cadmium in rice stem, which provided the technical tool and theoretical foundation for accurate prevention and efficient control of heavy metal risks in crops.

Effect of nitrogen application on greenhouse gas emissions and nitrogen uptake by plants in integrated rice-crayfish farming

Integrated rice-crayfish farming is an ecological rice farming mode. However, limited research has examined the comprehensive impacts of greenhouse gas (GHG) emissions, nitrogen (N) uptake, and N utilization in rice under this farming modality. Herein, a dual-factor experiment was performed from 2021 to 2022 to assess the comprehensive impacts of N application and rice farming mode on greenhouse gas (GHG) emissions, N uptake, N utilization, and rice yield in paddy fields. Under N application, the rice-crayfish co-culture exhibits a 2.3 % decrease in global warming potential (GWP) and a 17.3 % increase in greenhouse gas intensity relative to the rice monoculture. Moreover, the N uptake of rice within the rice-crayfish co-culture is 5.2 %-10.4 % higher than that in the rice monoculture. However, owing to low rice yield under the rice-crayfish co-culture, its N partial factor productivity decreases by 5.6 %-22.6 %, while N agronomic efficiency is reduced by 18.3 %-46.9 % compared with the rice monoculture. In addition, N application significantly inhibits CH4 emissions from paddy fields in the rice-crayfish co-culture mode. Compared with no N application, the CH4 emissions and GWP of N-applied treatment are decreased by 12.1 %-31.0 % and 6.0 %-15.8 %, respectively. Hence, N regulation might reduce GHG emissions in rice-aquatic animal co-culturing agriculture. Collectively, the results of this study suggest that switching from a rice monoculture to rice-crayfish co-culture can mitigate GHG emissions and promote rice N uptake; however, continuously improving the productivity of co-culturing agriculture is key to achieving high N utilization efficiency and low environmental impact.