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Modelling diurnal and seasonal patterns of maize pollen emission in relation to meteorological factors

机译:与气象因素相关的玉米花粉排放昼夜模式的模拟

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Modelling the risk of cross-pollination between maize crops can help to define efficient isolation methods to reduce the risk of gene flow between these crops However the use of such models over the pollen emission season is limited by poor estimations of pollen emission In this study we present a model that predicts hourly pollen emission fluxes over the pollen season and that accounts for effects of both meteorological conditions and crop variety It consists of two sub-models that predict (i) the seasonal pattern on a daily basis and (ii) the normalized diurnal pattern on an hourly basisTo assess the variability of pollen emission ten field experiments were carried out in July and August over four years using three crop varieties The model was built from (i) a parameterisation of the measured diurnal and seasonal patterns of pollen emission followed by (ii) a quantification of the relationships between parameter values and meteorological conditions Total production of pollen was fairly constant for a given variety over years and sowing dates while patterns of emission varied with meteorological conditions The pollen emission season was longer when temperature was low and humidity was high In most cases the diurnal pattern was unimodal the onset and the peak of emission were delayed when relative humidity was high or wind speed was low In some cases a second peak of emission occurred during the afternoon This was observed more frequently when temperatures were high
机译:对玉米作物之间异花授粉的风险进行建模可以帮助定义有效的隔离方法,以降低这些作物之间基因流的风险。但是,在花粉排放季节使用这种模型受到了对花粉排放量估计的限制。提出了一个模型,该模型可预测花粉季节的每小时花粉排放通量,并说明气象条件和农作物品种的影响。该模型由两个子模型组成,这些子模型预测(i)每天的季节模式和(ii)归一化为了评估花粉排放的变异性,使用三个农作物品种,在四年中分别于7月和8月进行了十次田间试验。建立该模型的依据是:(i)对所测得的花粉排放的每日和季节性模式进行参数化,然后通过(ii)量化参数值与气象条件之间的关系在一定的年份和播种期中,花粉的排放量恒定,而排放模式随气象条件而变化。温度低,湿度高时,花粉的排放季节更长。在大多数情况下,昼夜模式是单峰的,发病时间和排放高峰被延迟了。当相对湿度高或风速低时在某些情况下,第二个排放峰在下午出现

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