Kong Shuo, Qin Yonglin, Shi Xiaohua, Yu Jing, Jia Liguo, Chen Yang, Fan Mingshou
College of Agronomy, Inner Mongolia Agricultural University, Hohhot, China.
College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot, China.
Front Plant Sci. 2024 Sep 17;15:1458741. doi: 10.3389/fpls.2024.1458741. eCollection 2024.
Phosphorus (P) fertilizer use efficiency in potato production is relatively low in semi-arid regions, wasting P resources and increasing environmental risks. Therefore, improving P use efficiency (PUE) is critical for sustainable potato production. The critical P dilution curve (CPDC) and P nutrition index (PNI) have proven to be robust diagnostic tools for assessing crop P status and aiding in improving P fertilizer management. Several potato CPDCs have been established, however, few studies have been conducted to establish a CPDC for potato ( L.) under ridge planting with drip irrigation, a planting pattern that has been increasingly adopted in semi-arid regions. In addition, the different CPDCs established using the conventional Jestus statistical model cannot discriminate the true variability across scenarios or have become linked to estimation errors. Therefore, the objectives of this study were to (1) establish a potato CPDC based on a Bayesian statistical method and (2) evaluate the relationship between potato yield and PNI. Three years of field experiments with five levels of PO application (0, 80, 160, 240, 320 kg ha) were conducted in Inner Mongolia, China. No significant differences were found between CPDCs across the year × site for the assessed scenarios, and thus, a generic CPDC for potatoes in the region was derived as Pc = 0.616 DM, and it can be used to calculate the PNI. Further analysis showed that at each growth stage, the PNI exhibits a significant plateauing linear relationship with relative potato tuber yield. Thus, it provides a standard for diagnosing the P nutritional status in potatoes and lays a robust foundation for precise P recommendations in the region.
在半干旱地区，马铃薯生产中磷肥的利用效率相对较低，这不仅浪费了磷资源，还增加了环境风险。因此，提高磷利用效率对于马铃薯的可持续生产至关重要。临界磷稀释曲线（CPDC）和磷营养指数（PNI）已被证明是评估作物磷状况和辅助改善磷肥管理的有效诊断工具。虽然已经建立了多个马铃薯CPDC，但针对半干旱地区日益采用的滴灌垄作种植模式下的马铃薯（L.）建立CPDC的研究却很少。此外，使用传统的Jestus统计模型建立的不同CPDC无法区分不同情景下的真实变异性，或者与估计误差相关联。因此，本研究的目的是：（1）基于贝叶斯统计方法建立马铃薯CPDC；（2）评估马铃薯产量与PNI之间的关系。在中国内蒙古进行了为期三年的田间试验，设置了五个磷肥施用量水平（0、80、160、240、320 kg ha）。在所评估的情景中，不同年份×地点的CPDC之间未发现显著差异，因此得出该地区马铃薯的通用CPDC为Pc = 0.616 DM，可用于计算PNI。进一步分析表明，在每个生长阶段，PNI与马铃薯相对块茎产量均呈现出显著的平稳线性关系。因此，它为诊断马铃薯的磷营养状况提供了标准，并为该地区精确的磷肥推荐奠定了坚实基础。
