Crop coefficient estimated by degree-days for ‘Marandu’ palisadegrass and mixed forage

Débora Pantojo de Souza, Arthur Carniato Sanches, Fernando Campos Mendonça, José Ricardo Macedo Pezzopane, Danielle Morais Amorim, Fernanda Lamede Ferreira de Jesus
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引用次数: 2

Abstract

Considering profitability in pasture-based systems, investigating parameters affecting crop coefficients for irrigation management becomes important. In this experiment, we determined the crop coefficient of ‘Marandu’ palisadegrass based on accumulated degree-days and estimated plant water consumption under single (‘Marandu’ alisadegrass) and mixed (‘Marandu’ palisadegrass + black oats + Italian ryegrass) cropping regimes. The research was conducted at the Luiz de Queiroz College of Agriculture in Piracicaba, São Paulo, Brazil, between 2016 and 2017. Evapotranspiration was assessed using weighing lysimeters while crop evapotranspiration was calculated using mean weight variation. Reference evapotranspiration and degree-days were estimated. Data were obtained from an automated weather station. Equations and regression models relating crop coefficient with accumulated degree-days were generated for two seasons (spring/summer and autumn/winter) and evaluated for two year-cycles, from 2015 to 2018. The results showed better prediction accuracy for the single cropping system in spring/summer 2017–18. Highlights The model for determinating crop coefficient (Kc) by accumulated degree-days showed efficient for use in determination local. The use of the degree days for determination Kc is more vantage because only necessary to measure the air temperature (maximum and minimum). The equations for determining crop coefficient by accumulated degree days for the spring/summer season in Marandu palisade grass cultive show more precision that in mixture forage system.
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“Marandu”栅栏草和混合饲料的作物系数估算
考虑到牧场系统的盈利能力,研究影响灌溉管理作物系数的参数变得很重要。在本试验中,我们根据“马兰度”围栏草在单一(“马兰度”围栏草)和混合(“马兰度”围栏草+黑燕麦+意大利黑麦草)种植制度下的累积度数和估计植物耗水量,确定了“马兰度”围栏草的作物系数。该研究于2016年至2017年在巴西圣保罗州皮拉西卡巴的路易斯·德奎罗斯农业学院进行。蒸散量采用称重溶渗仪计算,作物蒸散量采用平均重量变化计算。估算了参考蒸散量和度日。数据是从一个自动气象站获得的。建立了两个季节(春夏和秋冬)作物系数与累积日数相关的方程和回归模型,并对2015年至2018年的两个年周期进行了评估。结果表明,2017-18年春夏单作制预测精度较高。利用累积日数确定作物系数(Kc)的模型可有效地用于局部确定。使用度天来确定Kc更有利,因为只需要测量空气温度(最高和最低)。用累积日数确定春夏马兰度围栏草种作物系数的公式比混合草种具有更高的精度。
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