首页> 外文期刊>Australian Journal of Crop Science >Prediction of safflower yield under different saline irrigation strategies using AquaCrop model in semi-arid regions
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Prediction of safflower yield under different saline irrigation strategies using AquaCrop model in semi-arid regions

机译:使用半干旱地区的AquaCrop模型预测不同盐渍灌溉策略下的红花产量

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The FAO AquaCrop is a crop water productivity model, which simulates yield response to water of herbaceous crops, and isparticularly suited to address conditions, where water is a key limiting factor in crop production.Although saline irrigation abounded yield for sensitive crops, its application can be noticeable for tolerant crops. In this study,different water quality and management strategies were used for Safflower irrigation in semi-arid regions of Iran. Three differentirrigation water qualities with the average salinity levels of 3.4, 8.8 and 11.2 dS.m-1 (Q1, Q2 and Q3), two irrigation managementstrategies (GQ and GU), and two leaching levels, i.e. with no leaching (LR0) and with leaching (LR1), were considered during theyear 2008. The experiment was laid out in a Split-Split plot with completely random blocks design with four replications. The modelwere generated for general case (case1) and detailed case (case2). Statistical analysis indices of the validated model in case1,including the model efficiency (EF), coefficient of residual mass (CRM) and index of agreement (d) for grain yield were 0.69, 0.1,0.99; for biomass were 0.74, 0.08, 0.99 and for WP were 0.98, 0.11, 0.99, respectively. Statistical analysis indices of the validatedmodel in case2, i.e. the model efficiency (EF), coefficient of residual mass (CRM) and index of agreement (d) for grain yield were0.99, 0.02, 0.99 for biomass were 0.96, 0.04, 0.99 and for WP were 0.98, 0.02, 0.99, respectively. Final results showed goodpredicted outputs for both cases. In case1, the model could be helpful in any management decision uses, with acceptable riskerrors, however, the detailed model in case2 seemed to be a better predictor model due to its more calibrated parameters.Therefore; statistical results of both cases were acceptable.
机译:粮农组织的AquaCrop是一种作物水分生产率模型,可以模拟草本植物对水的产量响应,特别适合处理水是作物生产的关键限制因素的条件。尽管盐分灌溉比敏感作物的产量高,但其应用可以对耐性农作物引人注目。在这项研究中,不同的水质和管理策略被用于伊朗半干旱地区的红花灌溉。三种不同的灌溉水质,平均盐度分别为3.4、8.8和11.2 dS.m-1(Q1,Q2和Q3),两种灌溉管理策略(GQ和GU)以及两种淋洗水平,即无淋洗(LR0)和在2008年期间考虑了使用浸出(LR1)进行实验。该实验以完全随机的块设计和四个重复的分割图的形式进行。针对一般案例(案例1)和详细案例(案例2)生成模型。案例1中验证模型的统计分析指标为:模型效率(EF),剩余质量系数(CRM)和籽粒一致性指标(d),分别为0.69、0.1、0.99;生物量的分别为0.74、0.08、0.99和WP的分别为0.98、0.11和0.99。在案例2中,经过验证的模型的统计分析指标,即模型效率(EF),残余质量系数(CRM)和谷物产量的一致性指数(d)为0.99、0.02、0.99,生物质分别为0.96、0.04、0.99和0.99。 WP分别为0.98、0.02、0.99。最终结果表明这两种情况的预测结果都很好。在案例1中,该模型可以在任何可接受的风险误差下对任何管理决策的使用都有所帮助,但是,案例2中的详细模型由于其校准参数更佳,因此似乎是更好的预测模型。两种情况的统计结果都是可以接受的。

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