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Performance of irrigation regimes and water salinity on winter wheat as influenced by planting methods

机译:冬小麦灌溉制度和水盐度的性能,受种植方法的影响

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摘要

Shortage and salinity of irrigation water are two major constraints that influence wheat production in arid and semi-arid regions of Iran. In this study, effects of deficit furrow irrigation with different salinity levels and planting methods (in-furrow and on-ridge) as strategies for coping with water and salinity stress on yield and yield quality of winter wheat was investigated in a two-year experiment. Irrigation treatments were full irrigation (FI), 0.65FI, and 0.35FI, and salinity levels of irrigation water were 0.6 (well water), 5.0, 7.5, and 10.0 dS m(-1). In the first year, grain yield was reduced by 20% and 26% in irrigation regimes of 0.65FI (381 mm) and 0.35FI (217 mm), respectively. These reductions were 17% and 30% in the second year, respectively. The corresponding irrigation water reductions were 33% and 62% in both years for 0.65FI (381, and 355 mm compared to 573 mm) and 0.35FI (217, and 203 mm compared to 533 mm), respectively. Therefore, it is indicated that the proportion of irrigation water reduction to the grain yield reduction is 2:1 in benefit of the deficit irrigation mostly due to the seasonal rainfall of 363 and 439 mm in the first and second years, respectively. Although the majority of rainfall occurred in winter, the winter wheat growth is at rest. Results also indicated that in FI with irrigation application efficiency of 80% (leaching fraction of 20%), the salinity level of 3.36 dS m(-1) produced no grain yield reduction. Furthermore, salinity level of 7.5 dS m(-1) for irrigation regimes of 0.65FI and 0.35FI, respectively did not show significant difference in grain yield compared with that obtained in 0.6 dS m(-1) salinity level. Therefore, by deficit irrigation, higher salinity level is applicable due to lower salt accumulation in soil. In-furrow planting resulted in 4% (statistically significant) higher grain yield compared with that obtained in on-ridge planting with 5% higher irrigation water productivity (IWP). By considering acceptable grain yield production in 0.65FI, its IWP (1.03 kg m(-3) and 1.1 kg m(-3) in the first and second year, respectively) was significantly higher than those obtained in FI (0.85 kg m(-3) and 0.87 kg m(-3) in the first and second year, respectively). In in-furrow planting, grain yield in salinity level of 7.5 dS m(-1) was suitable with irrigation regime of 0.65FI; whereas, for on-ridge planting appropriate salinity is 5.0 dS m(-1). Therefore, in non-limited irrigation water condition, FI with salinity level of 5.0 dS m(-1) and in-furrow planting is the appropriate irrigation management for winter wheat. However, with limited water supply, 0.65FI with salinity of 7.5 dS m(-1) and in-furrow planting would be appropriate in winter wheat irrigation management in the study region. The root water uptake was predicted by Homaee-Feddes method with higher accuracy and its value was used in grain yield prediction with Doorenbos-Kassam yield-ET function with higher accuracy.
机译:灌溉水的短缺和盐度是两个主要制约因素,这些制约因素影响伊朗干旱和半干旱地区的小麦产量。在这项研究中,在两年的实验中研究了不同盐度水平和种植方法的缺陷沟灌水和种植方法(沟里和脊髓植入尸体)作为应对水和盐度对冬小麦的产量和产量质量的策略进行了影响。灌溉处理是完全灌溉(FI),0.65FI和0.35FI,灌溉水的盐度水平为0.6(井水),5.0,7.5和10.0ds M(-1)。在第一年,谷物产量分别在0.65Fi(381mm)和0.35倍(217mm)的灌溉制度中减少了20%和26%。分别在第二年减少了17%和30%。对于0.65Fi(381,355mm,与573mm)和0.35Fi(217和203mm相比,相应的灌溉水减少为33%和62%,分别为0.35倍(217毫米,与533mm)。因此,指出,灌溉水降低与粮食产量减少的比例为2:1,有益于赤字灌溉,主要是由于第一年和第二年的季节性降雨量为363和439毫米。虽然大部分降雨在冬季发生,但冬小麦生长休息。结果还表明,在灌溉施用效率为80%(浸出分数为20%),盐度水平为3.36ds m(-1),不含谷物产量。此外,对于0.65fi和0.35fi的灌溉制度,7.5ds m(-1)的盐度水平分别没有显示出与0.6ds m(-1)盐度水平中获得的籽粒产量的显着差异。因此,通过缺陷灌溉,由于土壤中较低的盐积累,较高的盐度水平适用。沟里种植导致4%(统计学上显着的)谷物产量,与在脊上的灌溉水生产率(IWP)上获得的脊柱种植中获得的较高谷物产量。通过考虑在0.65FI中的可接受的谷物产量产生,其IWP分别在第一和第二年中(1.03千克)和1.1千克M(-3)显着高于FI中获得的IWP(0.85千克)( -3)分别在第一和第二年的0.87千克(-3))。在沟进入种植中,盐度水平为7.5ds m(-1)的籽粒产量适用于0.65fi的灌溉制度;虽然,对于种植合适的盐度为5.0ds m(-1)。因此,在非有限的灌溉水条件下,盐度水平为5.0ds m(-1)和沟槽种植是冬小麦的适当灌溉管理。然而,利用有限的供水,0.65倍的盐度为7.5 ds m(-1)和沟槽种植将适用于研究区的冬小麦灌溉管理。 Homaee-Feddes方法预测了具有更高精度的Homaee-Feddes方法,其值用于谷物产量预测,具有更高的准确度。

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