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Estimation of Chilling and Heat Requirement of 'Chemlali' Olive Cultivar and Its Use to Predict Flowering Date

机译:'Chemlali'橄榄品种的冷却和热需求估算及其用途预测开花日期

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Temperature is recognized as being the main variable regulating the timing of recurring biological phases. Many studies on the prediction of olive flowering have been developed. Some consider only the action of forcing temperature and estimate the heat requirements from a fixed date until flowering, while other consider also the action of low temperature and estimate chilling requirements for breaking of dormancy and heat requirements for flowering. The aim of the present paper is firstly the comparison of the flowering dates between years and to calculate the chilling requirements (CR) for breaking of dormancy and threshold temperature (Tbase) and heat requirements (HR) for flowering of 'Chemlali' olive cultivar. Considering the high year-to-year variability of climate conditions, the observed flowering dates varied between 17 April and 7 May. For the same period, the simulated Start day of chilling accumulation varied between 21 November and 10 January. The comparison of flowering dates observed in field conditions to those computed using identified parameters (CR, HR and Tbase) revealed that the difference is small considering the nine years studied. Both the Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE) of the comparison were less than 4 days, reflecting the weak errors in the estimation of the flowering model parameters. Also, this work confirms recent research which documented that the winter conditions in the period after chilling accumulation are highly correlated with yearly differences in flowering date for a given fruit tree specie and cultivar.
机译:温度被识别为调节重复生物相的定时的主要变量。在橄榄开花的预测许多研究已经开发出来。有些人认为只有迫使温度的作用,并估计从固定日期的热量需求,直到开花,而其他也考虑低温的作用,并估计为开花的休眠和散热要求打破寒心的要求。本文件的目的是首先将开花日期的年间,并计算为休眠和阈值温度(TBASE)和关于“Chemlali”橄榄栽培品种的开花热要求(HR)的破冷却要求(CR)中的比较。考虑到气候条件的高一年际变,所观察到的花期4月17日和5月7日之间变化。在同一时期,冷冻积累的模拟开始一天11月21日和1月10日之间变化。开花日期的比较在现场条件下于那些使用标识参数(CR,HR和TBASE)来计算观察,发现该差异小考虑所研究的九年。两个平均绝对误差(MAE)和比较的均方根误差(RMSE)小于4天,反映了开花模型参数的估计的弱误差。此外,这项工作证实其记载,在区间冬天冷条件后积累的高度与开花日期为给定的果树种类和品种逐年很大的关系最近的研究。

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