哥伦比亚低热带地区“瓦伦西亚”橙(Citrus sinensis L. Osbeck)生产力估算的经验模型建议

J. Cleves-Leguízamo, Leila Nayibe Ramírez-Castañeda, Eliecer David Díaz
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引用次数: 4

摘要

柑橘作物对环境供给的响应在很大程度上决定了植物生理生态过程的速度和强度,从而影响作物的发育和生产。主要目的是分析气候条件对“瓦伦西亚”柑橘农业生态系统(Citrus sinensis L. Osbeck)生产力的影响,该生态系统以前在哥伦比亚梅塔省进行过典型研究。对2013 ~ 2015年一个观测窗口的降水(PPT)、最高和最低气温(Tmax和Tmin)、风速、相对湿度和太阳亮度进行了分析。利用FAO CropWat模型,获得作物参考蒸散量(ETo)作为应用的农业气候指标。利用统计软件STATGRAPHICS Centurion XVI v. 16.2.04,提出了一个基于农业气候指数的生产力关联模型,用于营养和生殖物候阶段。实证模型对研究区农业生态系统生产力波动的解释率为49% (P=0.0233)。利用PPT、ETo、Tmax和Tmin等农业气候指数建立模型,发现生产力与农业气候指数呈非线性关系。结果表明,产量变化主要受PPT的影响,PPT的发生和大小决定了果实的产量和品质。另一方面,在开花期和开花期气温升高和水分亏缺的发生对作物生产有积极的促进作用,而在结实期同样的因素对作物生产有消极的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proposal of an empirical model to estimate the productivity of ‘Valencia’ orange (Citrus sinensis L. Osbeck) in the Colombian low tropics
The response of the citrus crop to environmental supply largely determines the speed and intensity of the plant's ecophysiological processes, which affect the development and production of the crop. The main objective was to analyze the effects of climatic conditions on the productivity of the ‘Valencia’ orange agroecosystems (Citrus sinensis L. Osbeck) previously typified in the department of Meta, Colombia. The climatological variables precipitation (PPT), maximum and minimum temperatures (Tmax and Tmin), wind speed, relative humidity and solar brightness were analyzed in an observation window spanning the years 2013 to 2015. Using the FAO CropWat model, the crop reference evapotranspiration (ETo) was obtained to applied agroclimatic indices. Using the statistical software STATGRAPHICS Centurion XVI v. 16.2.04, an empirical model was proposed that relates productivity according to agroclimatic indices, for the vegetative and reproductive phenological phases. It was found that the proposed empirical model explains 49% (P=0.0233) of the oscillation of productivity in study area agroecosystems. The model, based on agroclimatic indices associated with PPT, ETo, Tmax and Tmin, found that the relationship between productivity and agroclimatic indices is non-linear. It was established that productivity variation is mainly influenced by PPT, the occurrence and magnitude of which determines the volume of production and quality of the fruit. On the other hand, whereas increases in air temperature and the occurrence of water deficits in the pre-flowering and flowering phases positively favor crop production, the same factors produce a negative effect in the setting phase.
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