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Influence of Different Heat Units and Supplementary Irrigation on Barley Production Under Matruh Conditions-Egypt

机译:Matruh条件下不同热量单位和补充灌溉对大麦生产的影响-埃及

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This study was carried out at Marsa Matruh governorate - western north coast Egypt (31° 15′ 35? N, 27° 9′ 43? E) in the 2017/2018 growing season. The experiment was conducted to assess the different heat units or Accumulative of growing degree-days (AGDD) under various factors [sowing dates, tillage operation and different Supplementary irrigation strategies] on biomass and grain yield production for barley. Thus; the factor of sowing date comprise into three treatments (15 th Nov, 30 th Nov and 15 th Dec). Second factor is tillage with two treatments (no tillage”NT” and tillage 20cm”T”) and the third factor is Supplementary irrigation with three treatments (0, 70and 140mm). thus; The results revealed that the (1 Ton.Fed -1 ) for (BY) needs for (585.3, 578.73 and 626.64) heat units (AGDD) as an average under different sowing dates (15 th Nov, 30 th Nov and 15 th Dec.) respectively with tillage treatment “T” . Further; the (1 Ton.Fed -1 ) from grain yield (GY) needs for (1518) heat units if sowing on the (15 th Nov.), for (1531.85) heat units on (30 th Nov.) and for (1468.7) heat units on (15 th Dec.). on the hand; with no tillage (NT) the BY and GY need for more heat unit to get (1 Ton.Fed -1 ) by (683.7,729.7 and 807.6) heat units for BY and (1845.1,1904.1 and 2099.5) heat units for GY under different sowing date (15 th Nov, 30 th Nov and 15 th Dec). Notable; that the highest value for heat uses efficiency (HUE) observed with (140mm) and tillage operation (T) under sowing date 15 th Nov by (2.06 & 0.76 Kg. fed -1 C-1day-1) for both (BY) and (GY) respectively. However; under sowing date 30th Nov there is not any significant differentiation for heat uses efficiency (HUE) value compare with sowing date 15th Nov which recorded (2.03 & 0.73 Kg. fed -1 C-1day-1) for both (BY) and (GY) respectively. On the other hand; The Aqua Crop model adequately simulated the biomass yield (BY), and grain yield (GY) for barely under different treatments. The simulated (BY) agreed well with the measured (BY) across different treatments where (R 2 = 0.98 & E = 0.95 & RMSE = 1.17%) for barely under different treatments of (sowing dates and supplementary irrigation strategies) with tillage process. measured and simulated (GY) were also closely related. The Aqua Crop model calibrated the GY with the prediction statistics error by (R 2 = 0.90 & E = 0.51 & RMSE = 1.18%) with tillage process. Consequently; these results suggest that the good value recorded with tillage (T), (140mm) and 15 th Nov. In addition, AquaCrop model could be used to predict BY and GY of barely with a high degree of reliability at western north coast conditions. Thus; using Aqua Crop helps to determine the plantation day which records a highest efficiency for heat units and water productivity.
机译:这项研究是在2017/2018生长季节在埃及北部北海岸的Marsa Matruh省(31°15′35?N,27°9′43?E)进行的。进行该实验以评估大麦生物量和谷物产量的各种影响因素(播种日期,耕作操作和不同的补充灌溉策略)下不同的热量单位或累计生长天数(AGDD)。从而;播期的因素包括三种处理方式(11月15日,11月30日和12月15日)。第二个因素是两次处理的耕作(不耕作“ NT”和20cm“ T”耕作),第三个因素是三个处理(0、70和140mm)的补充灌溉。从而;结果显示,不同播种日期(11月15日,11月30日和12月15日)的(BY)的(1吨联邦制-1)平均需要(585.3、578.73和626.64)热单位(AGDD)。 。)分别进行耕作处理“ T”。进一步;如果在(11月15日)播种,则需要从(1518)热量单位的谷物产量(GY)获得(1吨联邦-1),在(11月30日)和(1468.7)播种需要(153.85)热量单位)(12月15日)加热。在手上在没有耕作(NT)的情况下,BY和GY需要更多的热量单位,以便在以下条件下获得BY的(1 Ton。Fed -1)热量,BY的热量得到(1845.1,1904.1和2099.5)不同的播种日期(11月15日,11月30日和12月15日)。值得注意的(BY)和(BY)和(BY)和(BY)和(BY)和(GY)。然而;与11月15日播种日期相比,在11月30日播种日期下的热利用效率(HUE)值没有任何显着差异,记录的(BY)和(GY)分别为(2.03&0.73 Kg。feeded -1 C-1day-1) ) 分别。另一方面; Aqua Crop模型几乎可以在不同处理条件下充分模拟生物量产量(BY)和谷物产量(GY)。模拟(BY)与不同处理(耕种日期和补充灌溉策略)的不同处理(播种日期和补充灌溉策略)下(R 2 = 0.98&E = 0.95&RMSE = 1.17%)的不同处理的实测值(BY)非常吻合。测量和模拟(GY)也密切相关。 Aqua Crop模型在耕作过程中通过预测统计误差(R 2 = 0.90&E = 0.51&RMSE = 1.18%)来校准GY。所以;这些结果表明,在耕作(T),(140mm)和11月15日记录的良好价值。此外,AquaCrop模型可用于预测西北北部沿海地区的BY和GY值,但可靠性很高。从而;使用Aqua Crop有助于确定人工林日,该日记录了热量单位和水生产率的最高效率。

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