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DRIS 在基于氮和钾营养诊断准确性的香蕉中的适用性。

Applicability of DRIS in bananas based on the accuracy of nutritional diagnoses for nitrogen and potassium.

机构信息

Department of Agricultural Production Sciences, São Paulo State University "Júlio de Mesquita Filho" (UNESP), Jaboticabal, SP, 14884-900, Brazil.

School of Agricultural Sciences, Technical University of Machala (UTMACH), 070223, Machala, El Oro, Ecuador.

出版信息

Sci Rep. 2022 Oct 27;12(1):18125. doi: 10.1038/s41598-022-22554-w.

DOI:10.1038/s41598-022-22554-w
PMID:36302806
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9613987/
Abstract

DRIS (Diagnosis Recommendation Integrated System) is a tool used in the interpretation of leaf analyses that values the balance of nutrients, an important fact for a better assessment of the nutritional status of banana plants. Its usefulness depends on the ability to identify the nutrients that limit productivity in order to correct possible nutritional imbalances, but there is a lack of research in all crops, including bananas, to assess the accuracy of these diagnoses, which have a worrying global implication. To this end, this study evaluates DRIS norms for banana cultivation in Ecuador and the use of accuracy measurements for nutritional diagnosis, verifying the capacity of DRIS to detect true nutritional status based on plant response. The database created here contains 233 results referring to productivity and leaf contents of N, P, K, Ca, Mg, S, Cl, Fe, Mn, Cu, B, and Zn for banana trees in 2018, 2019, and 2020. Then, a field experiment evaluated doses of nitrogen and potassium and the accuracy of DRIS norms for N and K. The results show that the DRIS of banana produced in Ecuador depends on the nutrient being variable according to the crop nutritional status. The DRIS norms for diagnosis of N and K result in an acceptable accuracy to identify only deficiencies and toxicities, respectively, indicating the need for adjustments in these standards for later use in the field. Thus, there is a need for more research aiming to adopt calibrated DRIS diagnostic norms to assess the nutritional status of bananas in Ecuador.

摘要

DRIS(诊断推荐综合系统)是一种用于解释叶片分析的工具,它重视营养平衡,这是更好地评估香蕉植株营养状况的一个重要事实。其有用性取决于识别限制生产力的营养物质的能力,以便纠正可能的营养失衡,但在包括香蕉在内的所有作物中,都缺乏评估这些诊断准确性的研究,这些诊断具有全球范围内令人担忧的影响。为此,本研究评估了厄瓜多尔香蕉种植的 DRIS 规范和营养诊断的准确性测量方法,验证了 DRIS 基于植物反应检测真实营养状况的能力。这里创建的数据库包含了 2018 年、2019 年和 2020 年 233 个关于香蕉树生产力和叶片中 N、P、K、Ca、Mg、S、Cl、Fe、Mn、Cu、B 和 Zn 含量的结果。然后,进行了田间试验评估氮和钾的用量以及 DRIS 对 N 和 K 的诊断规范的准确性。结果表明,厄瓜多尔生产的香蕉的 DRIS 取决于养分,根据作物的营养状况而变化。用于诊断 N 和 K 的 DRIS 规范的准确性仅能分别识别缺乏症和毒性,表明需要对这些标准进行调整,以便以后在田间使用。因此,需要进行更多的研究,旨在采用校准的 DRIS 诊断规范来评估厄瓜多尔香蕉的营养状况。

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Understanding nutrient imbalances in maize (Zea mays L.) using the diagnosis and recommendation integrated system (DRIS) approach in the Maize belt of Nigeria.利用诊断与推荐综合体系(DRIS)方法研究尼日利亚玉米带玉米的养分失衡问题。
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