Ramirez-Gil Joaquin Guillermo, Lopera Alex A, Garcia C
Universidad Nacional de Colombia Sede Bogotá, Facultad de Ciencias Agrarias, Departamento de Agronomía, Colombia.
Laboratorio de Agrocomputación y Análisis epidemiológico, Center of Excellence in Scientific Computing, Universidad Nacional de Colombia, Bogotá 111321, Colombia.
Heliyon. 2023 Jul 28;9(8):e18658. doi: 10.1016/j.heliyon.2023.e18658. eCollection 2023 Aug.
The avocado cv. Hass is one of the most dynamic fruits in the world and is of particular significance in tropical areas, where climate variability phenomena have a high impact on productivity and sustainability. Nanotechnology-based tools could be an alternative to mitigate and/or adapt plants to these phenomena. Our approach was based on identifying changes in temperature and precipitation associated with climate variability in avocado areas in Colombia and proposing mitigation strategies based on the use of nanotechnology. This study had two objectives: (i) to identify variations in temperature and precipitation in avocado-producing areas in Colombia and (ii) to evaluate the effect of calcium phosphate nanoparticles (nano CP) as an alternative to reduce stress in avocados under simulate climatic variability condition. Climatic clusters were determined based on the spatial K-means method and with the climatic temporal series data (1981-2020), a time series analysis we carried out. Later changes in each cluster were simulated in growth chambers, evaluating physiological and developmental responses in avocado seedlings subjected to nanoCaP after adjusting the application form and dose. XRD diffraction shows that the calcium phosphate phases obtained by solution combustion correspond to a mixture of hydroxyapatite and witocklite nanoparticles with irregular morphologies and particle sizes of 100 nm. Three clusters explained ∼90% of the climate variation, with increases and decreases in temperature and precipitation in the range of 1-1.4 °C and 4.1-7.3% respectively. The best-fitted time series models were of stationary autoregressive integrated moving averages (SARIMA). The avocado seedlings had differential responses () depending on the clusters, with a decrease in physiological behavior and development between 10 and 35%. Additionally, the nanoCaP reduced the climatic stress () in a range between 10 and 22.5%. This study identified the negative effect of climate variability on avocado seedlings and how nanoCaP can mitigate these phenomena.
哈斯鳄梨品种是世界上最具活力的水果之一，在热带地区具有特殊意义，因为气候多变现象对其生产力和可持续性有很大影响。基于纳米技术的工具可能是减轻和/或使植物适应这些现象的一种替代方法。我们的方法是确定哥伦比亚鳄梨种植区与气候多变相关的温度和降水变化，并提出基于纳米技术应用的缓解策略。本研究有两个目标：（i）确定哥伦比亚鳄梨产区温度和降水的变化；（ii）评估磷酸钙纳米颗粒（纳米CP）作为在模拟气候多变条件下减轻鳄梨胁迫的替代方法的效果。基于空间K均值方法确定气候聚类，并利用气候时间序列数据（1981 - 2020年）进行时间序列分析。之后在生长室中模拟每个聚类的变化，在调整施用形式和剂量后评估施用纳米CaP的鳄梨幼苗的生理和发育反应。XRD衍射表明，通过溶液燃烧获得的磷酸钙相对应于羟基磷灰石和硅钙石纳米颗粒的混合物，形态不规则，粒径为100 nm。三个聚类解释了约90%的气候变化，温度和降水的增减范围分别为1 - 1.4°C和4.1 - 7.3%。拟合效果最好的时间序列模型是平稳自回归积分移动平均模型（SARIMA）。鳄梨幼苗根据聚类有不同反应（），生理行为和发育下降10%至35%。此外，纳米CaP在10%至22.5%的范围内降低了气候胁迫（）。本研究确定了气候多变对鳄梨幼苗的负面影响以及纳米CaP如何减轻这些现象。
