首页> 外文期刊>Revue Suisse d'Agriculture >Optimisation de la fumure soufree par estimation du risque de carence. Ⅱ. Ble d'automne
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Optimisation de la fumure soufree par estimation du risque de carence. Ⅱ. Ble d'automne

机译:通过估算缺硫风险来优化硫肥。 Ⅱ。秋小麦

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摘要

Results of field experiments conducted during four growing seasons were used to improve a model for the risk assessment of sulphur deficiency in winter wheat (RYSER et al., 2001). The scoring model based on agronomic, pedologic and climatic criteria explained 84% of yield variability in response to sulphur application. In order of importance, significant parameters of the model were soil stone content, rainfall between October to March, soil organic matter and plant-available nitrogen. Moreover, clay content, soil depth and application frequency of organic fertilisers were also taken into account. The risk of deficiency was divided into 3 categories and sulphur recommendations were made for all of them. The low risk of deficiency was associated with a score of more than 18 points and no S fertilization was required for this category. The optimum S fertilisation of the moderate deficiency risk with a score of 13 to 18 points was set to 10 kg S/ha. The high risk (score under 13 points) was not represented in the experiments but a recommendation of 20 kg S/ha has been made. Sulphur application increased wheat yield significantly (by 15% on average) for moderate risk sites but had no effect on low risk ones. Total sulphur uptake in the aerial biomass was increased by sulphur application. Breadmaking quality was also evaluated. The total protein content of the grains was not affected by sulphur application. By contrast, 3 out of 4 moderate risk sites and only 2 out of 9 low risk sites showed significant increase of Zeleny values. This scoring model for the risk assessment of sulphur deficiency should allow farmers to find the optimal sulphur fertilisation in winter wheat.
机译:在四个生长季节进行的田间试验结果被用于改进冬小麦硫缺乏风险评估的模型(RYSER等,2001)。基于农艺学,土壤学和气候学标准的评分模型解释了84%的产量变化对硫的响应。按重要性排序,该模型的重要参数为土壤石块含量,10月至3月之间的降雨量,土壤有机质和植物有效氮。此外,还考虑了粘土含量,土壤深度和有机肥料的施用频率。缺乏的风险分为3类,并针对所有这些提出了硫推荐。缺乏风险低,得分超过18分,并且该类别不需要施肥。得分为13至18分的中度缺乏风险的最佳施肥水平设置为10 kg S / ha。实验中未表现出高风险(分数低于13分),但建议为20 kg S / ha。在中等风险地区,施用硫磺可显着提高小麦产量(平均提高15%),但对低风险地区无影响。施用硫增加了空中生物质中的总硫吸收。还评估了面包制作质量。谷物的总蛋白质含量不受硫施用的影响。相比之下,在4个中等风险站点中有3个在9个低风险站点中只有2个显示出Zeleny值显着增加。这种用于硫缺乏风险评估的评分模型应使农民能够找到冬小麦的最佳硫肥。

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