reza saeidi; Hadi Ramezani Etedali; Abbas Sotoodehnia; abbas kaviani; Bijan Nazari
Abstract
In this study, yield and evapotranspiration of maize (cv. SC 704) were investigated under salinity stress and nitrogen deficiency. The experiment was carried out in a randomized complete block design. Electrical conductivities of saline water treatments were 0.5( 15S0"> ), 2.1( 15S1)"> , 3.5( 15S2) ...
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In this study, yield and evapotranspiration of maize (cv. SC 704) were investigated under salinity stress and nitrogen deficiency. The experiment was carried out in a randomized complete block design. Electrical conductivities of saline water treatments were 0.5( 15S0"> ), 2.1( 15S1)"> , 3.5( 15S2) "> , and 5.7( 15S3) "> dS. 15m-1"> . Nitrogen deficiency treatments were 100% ( 15F0"> ), 75% ( 15F1"> ), 50% ( 15F2"> ), and 25% ( 15F3"> ) of nitrogen fertilizer requirement based on soil testing. The treatments were carried out in three replications and in plots with area of 9 m2. In different treatments, evapotranspiration of maize was between 220 to 349 mm and dry matter yield between 9.4 to 15.2 ton.ha-1. With increase in the salinity levels in , , , and treatments, the slopes of yield function were estimated as 0.2, 0.207, 0.218, and 0.231, respectively. Also, with reduction of nitrogen at salinity levels of , , and , the slopes were estimated as 0.175, 0.182, 0.194 and 0.221, respectively. The results showed that, with increasing stresses, yield of maize decreased more than evapotranspiration. The coefficient of was calculated using the Doorenbos-Kassam relationship. With reduction of nitrogen at salinity levels of , , and , values of coefficient were estimated as 1.01, 1.048, 1.119, and 1.272, respectively. Also, with increase in the salinity at nitrogen levels of , , and , Ky values were estimated as 1.15, 1.19, 1.258, and 1.328, respectively. On the average, Ky was calculated as 1.27. Under the highest stress 15 S3F3"> , water and nitrogen use efficiency decreased by: 38% and 34.5%, respectively, compared to the control treatment (S0F0). The results showed that the water requirement and yield of maize under the mentioned stresses were less than the region’s potential. Under these conditions, by supplying soil nitrogen and reducing water use, water resources will be used optimally and yield will increase.
h ramezani; a liaghat; m parsinejad; m ramezani
Abstract
Agricultural drought occurs when soil moisture is less than that required for the optimized production and damages crop yield. Drought indexes are used for monitoring purposes and in some of these indicators rainfall data are used. But, agricultural droughts indexes use soil moisture data. ...
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Agricultural drought occurs when soil moisture is less than that required for the optimized production and damages crop yield. Drought indexes are used for monitoring purposes and in some of these indicators rainfall data are used. But, agricultural droughts indexes use soil moisture data. Among the most important drought indexes that use soil moisture as input parameter, soil moisture drought index (SMDI) can be noted. Generally, mathematical models are used for soil moisture estimation. The objective of this study was to estimate soil moisture using AquaCrop model and to calculate SMDI with this estimation and compare it with the rainfall-based drought indexes such as PNI, DI, SPI and CZI, using Qazvin synoptic station data of 1982-2008. The results of soil moisture estimation using AquaCrop showed that monthly changes in soil moisture at 5 cm depth were very strong. With increasing depth, soil moisture changes were less and remained constant after 40 cm of depth. Average values of SMDI, PNI, DI, SPI and CZI were, respectively, 0.41.2, 10026.2, 0.042.6, 0.01.0, and 0.01.0. Based on SMDI, the wettest year was 1994 while the driest years were 1997, 1999 and 2008. But, based on other indexes, the wettest and driest years were 1982 and 2008. The main point for SMDI is that, in addition to the current season soil moisture conditions, the index uses soil moisture conditions of the previous year to calculate SMDI. According to our results, SMDI had low coefficient of determination with the other drought indexes, rain, and evaporation.