基于气象决策的四川两系杂交稻制种技术研究——以Y58S/F1599仁寿制种为例

针对四川两系杂交稻就地制种技术难题,以Y58S/F1599在仁寿制种为例,研究、验证和应用基于气象决策方案的两系杂交稻制种技术。运用两系杂交稻制种气象决策方法,分析了仁寿最近32 a的气象数据。据此制定了Y58S/F1599在仁寿的最佳制种方案:育性敏感期安排在7月10日—8月5日,对应抽穗扬花期和种子成熟收获期分别为7月25日—8月16日和8月28日—9月4日。照此方案于2014和2015年开展两系制种技术验证和应用试验,均获成功,其中2015年Y58S的育性敏感期在7月13—27日,不育系完全败育,亲本花期相遇,理论制种产量为2.52±0.49 t/hm~2,经检验种子纯度等均达国标。这初步说明在四川应用气象决策方案开展两系杂交稻制种在技术上是可行的;同时,笔者提出了四川两系杂交稻制种的风险控制策略

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors