Xu Haocong, Yao Bo, Zhu Tiezhong, Wang Pengcai, He Haibing, Ke Jian, You Cuicui, Zhang Qiangqiang, Wu Liquan
Agricultural College, Anhui Agricultural University, Hefei, P. R. China.
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing, P. R. China.
J Sci Food Agric. 2025 Aug 30;105(11):5809-5822. doi: 10.1002/jsfa.14293. Epub 2025 Apr 17.
Appropriate nitrogen (N) fertilizer practices can be used to improve rice grain quality without compromising yield formation. The aim of this study is to investigate the performance of phenological N status in predicting rice grain yield and eating scores, and provide N fertilizer management recommendations. Two indica rice cultivars were selected for 3-year field experiments with multiple N application rates. The correlation between N diagnostic indicators [nitrogen nutrition index (NNI) and integrated NNI (NNI)] derived from two critical nitrogen dilution curves (CNDCs) based on shoot dry matter (DM) and leaf area index (LAI) with relative yield (RY) and relative eating score (RE) will be investigated. The optimal N fertilizer application rate obtaining high-yield and superior-quality (RY and RE ≥ 0.900) were recommended by the optimized phenological N status.
NNI and NNI based on DM and LAI CNDC at each growth stage were significantly correlated with the RY and RE. The single-stage estimation performance of the NNI at the tillering stage were improved. The accumulated NNI (from transplanting to jointing) was better for estimating RY and RE than single-stage NNI and NNI. The LAI-CNDC can comprehensively and accurately estimate RY and RE. The optimal N fertilizer application rate was recommended as 126-209 kg ha, for rice to obtain high yield and good eating quality.
This finding demonstrated the potential N diagnostic tool for estimating rice yield and eating quality in precision farming system, and NNI can be used to determine N requirement for rice high-yield and superior-quality. © 2025 Society of Chemical Industry.
合理的氮肥施用措施可用于提高稻米品质,同时不影响产量形成。本研究旨在探究物候期氮素状况在预测水稻产量和食味评分方面的表现,并提供氮肥管理建议。选择两个籼稻品种进行为期3年的多施氮量田间试验。将研究基于地上部干物质(DM)和叶面积指数(LAI)的两条临界氮稀释曲线(CNDC)得出的氮诊断指标[氮营养指数(NNI)和综合氮营养指数(iNNI)]与相对产量(RY)和相对食味评分(RE)之间的相关性。通过优化的物候期氮素状况推荐获得高产和优质(RY和RE≥0.900)的最佳氮肥施用量。
各生育阶段基于DM和LAI-CNDC的NNI和iNNI与RY和RE均显著相关。分蘖期NNI的单阶段估算性能有所提高。累积NNI(从移栽至拔节期)在估算RY和RE方面比单阶段NNI和iNNI更好。LAI-CNDC能够全面且准确地估算RY和RE。推荐水稻获得高产和良好食味品质的最佳氮肥施用量为126 - 209 kg·ha⁻¹。
这一发现证明了在精准农业系统中用于估算水稻产量和食味品质的潜在氮诊断工具,并且NNI可用于确定水稻高产和优质所需的氮量。© 2025化学工业协会