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首页> 外文期刊>HortScience >Validation of a Fertilizer Potential Acidity Model to Predict the Effects of Water-soluble Fertilizer on Substrate pH
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Validation of a Fertilizer Potential Acidity Model to Predict the Effects of Water-soluble Fertilizer on Substrate pH

机译:用来预测水溶性肥料对基质pH值影响的肥料潜在酸度模型的验证

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Two experiments were run to validate a "Nitrogen Calcium Carbonate Equivalence (CCE)" model that predicts potential fertilizer basicity or acidity based on nitrogen (N) form and concentration for floriculture crops grown with water-soluble fertilizer in containers with minimal leaching. In one experiment, nine bedding plant species were grown for 28 days in a peat-based substrate using one of three nutrient solutions (FS) composed of three commercially available water-soluble fertilizers that varied in ammonium to nitrate (NH4+:NO3-) ratio (40:60, 25:75, or 4:96) mixed with well water with 130 mg.L-1 calcium carbonate (CaCO3) alkalinity. Both the ammoniumnitrogen (NH4-N) content of the FS and plant species affected substrate pH. Predicted acidity or basicity of the FS for Impatiens walleriana Hook.f. (impatiens), Petunia x hybrida E. Vilm. (petunia), and Pelargoniunz hortorum L.H. Bailey (pelargonium) from the Nitrogen CCE model was similar to observed pH change with an adjusted R-2 of 0.849. In a second experiment, water alkalinity (0 or 135.5 mg.L-1 CaCO3), NH4+:NO3- ratio (75:25 or 3:97), and N concentration (50, 100, or 200 mg.L-1 N) in the FS were varied with impatiens. As predicted by the N CCE model, substrate pH decreased as NH4+ concentration increased and alkalinity decreased with an adjusted R-2 of 0.763. Results provide confidence in the N CCE model as a tool for fertilizer selection to maintain stable substrate pH over time. The limited scope of these experiments emphasizes the need for more research on plant species effects on substrate pH and interactions with other factors such as residual limestone and substrate components to predict pH dynamics of containerized plants over time
机译:进行了两个实验,以验证“氮碳酸钙等效量(CCE)”模型,该模型基于氮(N)的形态和浓度预测了使用水溶性肥料在装有最小浸出量的容器中种植的花卉作物的潜在肥料碱性或酸性。在一项实验中,使用三种养分溶液(FS)中的一种,将九种被褥植物种在基于泥炭的基质中生长28天,其中三种养分溶液由三种市售水溶性肥料组成,铵盐与硝酸盐(NH4 +:NO3-)的比例不同(40:60、25:75或4:96)与井水中的碱度为130 mg.L-1的碳酸钙(CaCO3)混合。 FS的铵态氮(NH4-N)含量和植物种类均会影响底物pH。凤仙花(Impatiens walleriana Hook.f.)FS的预测酸度或碱度。 (凤仙花),矮牵牛x杂交E. Vilm。 (矮牵牛)和Pelargoniunz hortorum L.H. Bailey(天竺葵)的氮CCE模型与观察到的pH值变化相似,调整后的R-2为0.849。在第二个实验中,水碱度(0或135.5 mg.L-1 CaCO3),NH4 +:NO3-比(75:25或3:97)和N浓度(50、100或200 mg.L-1 N )中的FS因凤仙花而异。如N CCE模型所预测的,底物pH随NH4 +浓度的增加而降低,碱度降低,R-2的调整值为0.763。结果提供了对N CCE模型作为肥料选择工具的信心,该模型可随着时间的推移保持稳定的底物pH。这些实验的有限范围强调了需要对植物物种对基质pH的影响以及与其他因素(例如残留的石灰石和基质成分)的相互作用进行更多研究,以预测容器化植物随时间的pH动态。

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