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首页> 外文期刊>Acta Horticulturae >Prediction of strawberry season and yield.
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Prediction of strawberry season and yield.

机译：草莓季节和产量的预测。

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摘要

Reliable data on season and yield for commercial strawberry growing in the Valldal district in Norway for 1967-2000 were used. A cubic equation was fitted to accumulated yield as related to time. Start and top of season were correlated to May and June temperatures; 1 degrees C higher May-June mean temperature gave a 4.8 days earlier start of season. Regressions with temperatures as variables for predicting start of harvesting season were estimated. Regression models gave more reliable predictions than the use of degree days. A strong correlation between yield level and fungicide used against Botrytis cinerea was found. Yield was negatively correlated with temperatures in August and positively correlated with temperatures in September previous to the fruiting year. Yield was positively correlated with temperature in April. Several regression equations for predicting yield were estimated; meteorological data, fungicides, and year were used as variables. The regression method for predicting season and yield may be useful for production and marketing of strawberries.
机译：使用了挪威瓦尔达尔地区1967-2000年间商业草莓生长的季节和产量的可靠数据。将三次方程拟合为与时间有关的累积产量。季节的开始和顶部与五月和六月的温度相关。 5月至6月的平均温度高1摄氏度，比季节早4.8天。估计了温度回归作为预测收获季节开始的变量。回归模型给出的预测比使用度数天更可靠。发现产量水平与用于灰葡萄孢的杀真菌剂之间有很强的相关性。产量与结果月份前的八月温度成负相关，与九月份的温度成正相关。 4月份产量与温度呈正相关。估计了几个预测产量的回归方程。气象数据，杀菌剂和年份被用作变量。预测季节和产量的回归方法可能对草莓的生产和销售很有用。

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