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Crop water use indicators to quantify the flexible phenology of quinoa (Chenopodium quinoa Willd.) in response to drought stress

机译:作物用水指标量化了干旱胁迫下藜麦(Chenopodium quinoa Willd。)的灵活物候

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Models can play an important role in agricultural planning and management. Thermal time accumulation is a common way of describing phenological development in crop models, but the sensitivity of this concept to water stress is rarely quantified. The effect of pre-anthesis droughts on the timing of anthesis and physiological maturity was assessed for quinoa (Chenopodium quinoa Willd.) var. 'Santa Maria', with the help of two field experiments (2005-2006 and 2006-2007) in the central Bolivian Altiplano. Various treatments with different sowing dates and irrigation applications were considered. To evaluate the effect of drought stress on crop development, drought stress during the first 60 days after sowing was assessed with three different stress indicators: the number of days that the soil water content of the root zone was above a threshold, the average relative transpiration, and the sum of daily actual transpiration, standardized for reference evapotranspiration ([summation operator](T a/ET)). The best indicator to quantify the effect of pre-anthesis drought stress on phenological development was [summation operator](T a/ET) cumulated until 60 days after sowing. This indicator showed a significant logarithmic relation with the time to anthesis and time to physiological maturity. Correlations of the drought stress indicator with thermal time accumulation were better than with calendar time accumulation. Due to an effect of post-anthesis droughts, the correlations of the drought stress indicator with the time to anthesis were stronger than with the time to physiological maturity. It was also demonstrated that deficit irrigation can contribute to a better agricultural planning due to a better control of the phenological development of quinoa. The proposed relations can be used for modeling phenological development of quinoa in drought prone regions and for efficient deficit irrigation planning.
机译:模型可以在农业计划和管理中发挥重要作用。热时间积累是描述作物模型中物候发展的一种常见方式,但是这种概念对水分胁迫的敏感性很少被量化。对于藜麦(Chenopodium quinoa Willd。)var,评估了花前干旱对花期和生理成熟期的影响。 “圣玛丽亚”在玻利维亚中部高原进行了两次野外试验(2005-2006年和2006-2007年)。考虑了不同播种日期和灌溉应用的各种处理方法。为了评估干旱胁迫对作物生长的影响,用三种不同的胁迫指标评估了播种后头60天的干旱胁迫:根区土壤含水量超过阈值的天数,平均相对蒸腾量,以及每日实际蒸腾量的总和,已标准化为参考蒸散量([求和算子](T a / ET))。量化直到开花后60天,才能量化花前干旱胁迫对物候发展的影响的最佳指标是[求和算子](T a / ET)。该指标与开花时间和生理成熟时间呈显着的对数关系。干旱胁迫指标与热时间累积的相关性优于与日历时间累积的相关性。由于花后干旱的影响,干旱胁迫指标与开花时间的相关性强于与生理成熟时间的相关性。还表明,由于更好地控制了藜麦的物候发展,亏缺灌溉可以促进更好的农业计划。所建议的关系可用于对干旱多发地区的藜麦进行物候学建模和有效的亏缺灌溉计划。

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