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Relevance of the Lin's and Host hydropedological models to predict grape yield and wine quality

机译:林氏和宿主水文学模型预测葡萄产量和葡萄酒品质的相关性

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The adoption of precision agriculture in viticulture could be greatlyenhanced by the diffusion of straightforward and easy to be appliedhydropedological models, able to predict the spatial variability ofavailable soil water. The Lin's and Host hydropedological models wereapplied to standard soil series descriptions and hillslope position, topredict the distribution of hydrological functional units in two vineyardand their relevance for grape yield and wine quality. A three-years trialwas carried out in Chianti (Central Italy) on Sangiovese. The soils of thevineyards differentiated in structure, porosity and related hydropedologicalcharacteristics, as well as in salinity. Soil spatial variability was deeplyaffected by earth movement carried out before vine plantation. Six plotswere selected in the different hydrological functional units of the twovineyards, that is, at summit, backslope and footslope morphologicalpositions, to monitor soil hydrology, grape production and wine quality.Plot selection was based upon a cluster analysis of local slope, topographicwetness index (TWI), and cumulative moisture up to the root limiting layer,appreciated by means of a detailed combined geophysical survey. Watercontent, redox processes and temperature were monitored, as well as yield,phenological phases, and chemical analysis of grapes. The isotopic ratioδ13C was measured in the wine ethanol upon harvesting toevaluate the degree of stress suffered by vines. The grapes in each plotwere collected for wine making in small barrels. The wines obtained wereanalysed and submitted to a blind organoleptic testing.The results demonstrated that the combined application of the twohydropedological models can be used for the prevision of the moisture statusof soils cultivated with grape during summertime in Mediterranean climate.As correctly foreseen by the models, the amount of mean daily transpirablesoil water (TSW) during the growing season differed considerably between thevineyards and increased significantly along the three positions on slope inboth vineyards. The water accumulation along slope occurred in every year,even during the very dry 2006. The installation of indicators of reductionin soils (IRIS) tubes allowed confirmation of the occurrence of reductiveprocesses in the most shallow soil.Both Sangiovese grape yield and quality of wine were influenced by theinteraction between TSW content and salinity, sometimes contrary toexpectations. Therefore, the studied hydropedological models were notrelevant to predict grape yield and wine quality in all the hydrologicalfunctional units. The diffusion of hydropedological models in precisionviticulture could be boosted considering salinity along with topography andsoil hydrological characteristics.
机译:通过推广简单易用的水文生态学模型可以预测可用土壤水的空间变异性,可以大大促进在葡萄栽培中采用精确农业。将Lin's和Host水文生态模型应用于标准土壤系列描述和山坡位置,以预测两个葡萄园中水文功能单元的分布及其与葡萄产量和葡萄酒品质的相关性。在基安蒂(意大利中部)桑娇维塞进行了为期三年的审判。葡萄园的土壤在结构,孔隙度和相关的水文特征以及盐度方面有所不同。葡萄种植前的土壤运动对土壤的空间变异性产生了深远的影响。在两个葡萄园的不同水文功能单元(即山顶,后坡和山坡形态位置)选择了六个样地,以监测土壤水文,葡萄产量和葡萄酒质量。样地选择是基于对局部坡度,地形湿度指数( TWI)和直至根部限制层的累积水分,这通过详细的组合地球物理调查得以了解。监测水分,氧化还原过程和温度,以及葡萄的产量,物候期和化学分析。收获时在葡萄酒乙醇中测量同位素比δ 13 C,以评估葡萄所受的压力程度。收集每个地块中的葡萄,用小桶酿酒。分析所获得的葡萄酒并进行盲感官测试。 结果表明,两种水文学模型的结合应用可用于预测地中海夏季夏季葡萄栽培土壤的水分状况。正如模型所正确预测的那样,不同葡萄园之间在生长期的平均每日可蒸发土壤水(TSW)量在葡萄园之间存在很大差异,并且在三个坡度上均显着增加。每年,甚至在非常干旱的2006年,沿斜坡的积水都会发生。通过安装土壤还原指示剂(IRIS),可以确认最浅层土壤中还原过程的发生。 Sangiovese TSW含量和盐度之间的相互作用影响葡萄的产量和品质,有时与预期相反。因此,所研究的水文生态学模型与预测所有水文功能单元中的葡萄产量和葡萄酒质量均无关。考虑到盐分,地形和土壤水文特征,可以促进水文学模型在精确葡萄栽培中的传播。

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