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Quantifying the Effects of Photoperiod, Temperature and Daily Irradiance on Flowering Time of Soybean Isolines

机译:量化光周期,温度和日照度对大豆等值线开花时间的影响

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Soybean isolines with different combinations of photoperiod sensitivity alleles were planted in a greenhouse at different times during the year resulting in natural variation in daily incident irradiance and duration. The time from planting to first flower were observed. Mathematical models, using additive and multiplicative modes, were developed to quantify the effect of photoperiod, temperature, photoperiod-temperature interactions, rate of photoperiod change, and daily solar irradiance on flowering time. Observed flowering times correlated with predicted times (R2 = 0.92, Standard Error of the Estimate (SSE) = 2.84 d, multiplicative mode; R2 = 0.91, SSE = 2.88 d, additive mode). The addition of a rate of photoperiod change function and an irradiance function to the temperature and photoperiod functions improved the accuracy of flowering time prediction. The addition of a modified photoperiod function, which allowed for photoperiod sensitivity at shorter photoperiods, improved prediction of flowering time. Both increasing and decreasing rate of photoperiod change, as well as low levels of daily irradiance delayed flowering in soybean. The complete model, which included terms for the rate of photoperiod change, photoperiod, temperature and irradiance, predicted time to first flower in soybean across a range of environmental conditions with an SEE of 3.6 days when tested with independent data.
机译:在一年中的不同时间,将具有不同光周期敏感性等位基因组合的大豆等值线种植在温室中,导致每日入射辐照度和持续时间发生自然变化。观察从种植到第一朵花的时间。开发了使用加法和乘法模式的数学模型,以量化光周期,温度,光周期-温度相互作用,光周期变化率和日照度对开花时间的影响。观察到的开花时间与预测时间相关(R 2 = 0.92,估计标准误差(SSE)= 2.84 d,乘法模式; R 2 = 0.91,SSE = 2.88 d,加性模式)。在温度和光周期函数中增加光周期变化函数的速率和辐照度函数可以提高开花时间预测的准确性。修改后的光周期功能的添加(允许在较短的光周期下实现光周期敏感性)改善了开花时间的预测。大豆光周期变化率的增加和减少以及每日辐照度的低水平都延迟了大豆的开花。完整的模型包括光周期变化率,光周期,温度和辐照度的术语,使用独立数据进行测试时,可以预测在各种环境条件下大豆的第一朵花的时间,SEE为3.6天。

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