Zhu MingWei, Zhao Wei, Duan Yu, Huang Tao, Wang YuXiao, Sun LiYong, Li ShuXian
Collage of Forestry and Grass, Nanjing Forestry University, Nanjing, China.
Southern Modern Forestry Collaborative lnnovation Center, Nanjing Forestry University, Nanjing, China.
Front Plant Sci. 2025 Jul 30;16:1615424. doi: 10.3389/fpls.2025.1615424. eCollection 2025.
Foliar nutrient diagnosis can facilitate an understanding of plant nutrient status, enabling the implementation of precise fertilization programs. As an emerging woody oil crop, , requires pressing research efforts to address the key agricultural challenge of achieving high-yield and high-efficiency cultivation.
In this study, the leaves were collected at the fruit expansion stage. The test materials were categorized into high- and low-yielding groups based on single plant yields, as determined by the Compositional Nutrient Diagnosis Inflection Point method. Finally, the low-yielding group was subjected to nutritional diagnosis using the Diagnosis and Recommendation Integrated System (DRIS) method.
A significant difference in yield was observed between the two groups, with average yields of 123.2 and 55.3 g·plant. Appropriate nutrient ranges were established by the Range of Normality method. In the low-yielding group, Cu and Mn levels exceeded the optimal values, while the concentrations of other elements fell within the appropriate range. Through the DRIS method, it showed that the low-yielding group exhibited an excess of Cu and Mn, with elemental deficiencies ranked as follows: Ca > K > Mg > N > Zn > Fe > P. The combined DRIS Nutritional Imbalance Index (NBIm) values indicated that Ca deficiency was the most severe.
The primary factors contributing to the reduced yield of P. ostii were the excesses of Cu and Mn and the deficiencies of Ca. In the future, greater attention should be paid to the issues of Ca supplementation and the management of localized heavy metals, with the aim of optimizing the production of .
叶片营养诊断有助于了解植物营养状况，从而实施精准施肥方案。作为一种新兴的木本油料作物，需要加大研究力度以应对实现高产高效栽培这一关键农业挑战。
本研究在果实膨大期采集叶片。根据单株产量，采用营养成分诊断拐点法将试验材料分为高产组和低产组。最后，对低产组采用综合诊断与推荐系统（DRIS）法进行营养诊断。
两组产量差异显著，平均单株产量分别为123.2克和55.3克。采用正态范围法确定了适宜的养分范围。在低产组中，铜和锰含量超过最佳值，而其他元素浓度在适宜范围内。通过DRIS法表明，低产组铜和锰过量，元素缺乏程度排序为：钙＞钾＞镁＞氮＞锌＞铁＞磷。综合DRIS营养失衡指数（NBIm）值表明钙缺乏最为严重。
导致油用牡丹产量降低的主要因素是铜和锰过量以及钙缺乏。未来，应更加关注补钙问题和局部重金属管理，以优化油用牡丹的生产。
