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首页> 外文期刊>Climate Risk Management >Tailoring wheat management to {ENSO} phases for increased wheat production in Paraguay
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Tailoring wheat management to {ENSO} phases for increased wheat production in Paraguay

机译:将小麦管理调整到{ENSO}阶段,以增加巴拉圭的小麦产量

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Abstract Reported regional wheat yields in Paraguay vary from 1 to 3 t/ha from year to year, but appear not to be correlated with El Ni?o-Southern Oscillation (ENSO) phases. Historical weather data from two locations in representative wheat-growing regions of Paraguay, Encarnación-Itapúa and Ciudad del Este-Alto Paraná combined with crop modeling, were analyzed to optimize nitrogen (N) fertilizer application rates according to the {ENSO} phase of a growing season. The {ENSO} phase of a growing season was defined based on the average of the sea surface temperature (SST) anomalies in the Eastern Equatorial Pacific region for the period June–October using the El Ni?o region 3.0 index (Ni?o 3.0). Simulated average yields in Alto Paraná were higher in the drier and cooler La Ni?a wheat-growing seasons (average of 3.5 t/ha) compared to the other phases (average of 3.2 t/ha) and in Itapúa, in Neutral seasons (average of 3.8 t/ha) compared to the other phases (average of 3.7 t/ha). Accordingly, optimal N fertilizer applications ranged between 20 and 60 kg N/ha between phases depending on the sowing date, soil type and initial amount of soil water content. Applying an {ENSO} or General Circulation Model (GCM)-based forecast for ENSO-season-type specific N fertilizer applications resulted in benefits of >100 US$/ha when compared with current farmers’ practice of consistently low N fertilizer applications in Paraguay. When N management based on forecasts was compared with optimized N application without forecast, the benefits of the forecast was only up to 8 US$/ha. The ENSO-persistence-based forecast showed higher values than the GCM-based forecasts with two lead-times but lower skill. Using climate information can significantly increase current wheat yields and gross margins in Paraguay by tailoring N fertilizer applications to the Ni?o 3.0-defined {ENSO} phases, which can be forecasted with moderate skill at the beginning of the growing season.
机译:摘要巴拉圭报告的区域小麦单产每年为1-3 t / ha,但与El Ni?o-南方涛动(ENSO)阶段无关。结合作物模型,分析了巴拉圭代表性小麦产区恩卡纳西翁-伊塔普阿和埃斯特-阿尔托-巴拉那城两个地点的历史天气数据,并结合作物模拟,对氮肥施用的最佳时期进行了分析。生长季。使用El Ni?o地区3.0指数(Ni?o 3.0)根据6月至10月东赤道太平洋地区海表温度(SST)异常的平均值来定义生长期的{ENSO}阶段。 )。在干旱和较冷的La Ni?a小麦生育季节(平均3.5吨/公顷),AltoParaná的模拟平均单产高于其他阶段(平均3.2吨/公顷)和Itapúa在中性季节(平均)。平均3.8吨/公顷)。因此,根据播种日期,土壤类型和土壤含水量的初始量,各阶段之间最佳氮肥施用量在20至60 kg N / ha之间。与巴拉圭目前农民一贯低氮施用的做法相比,采用基于{ENSO}或通用循环模型(GCM)的ENSO季节型特定氮肥施用量预测带来的收益> 100美元/公顷。将基于预测的氮管理与未进行预测的优化氮肥应用进行比较,预测的收益仅为每公顷8美元。基于ENSO持久性的预测显示的价值高于基于GCM的预测,具有两个提前期,但技能较低。利用气候信息可以通过根据Ni?o 3.0定义的{ENSO}阶段调整氮肥的施用量,从而显着提高巴拉圭目前的小麦单产和毛利,这可以在生长期开始时以中等技能进行预测。

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