赤霉素(Eugenia dysenterica DC)叶片解剖生理特征。能预测营养缺乏症状吗

L. A. Bessa, L. Vitorino, F. G. Silva, S. C. V. Filho
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引用次数: 0

摘要

接受不同必需营养素浓度不足的植物可能对这种胁迫作出症状性反应。然而,当营养缺乏的第一个明显症状出现时,植物的结构已经表现出显著的变化。由于痢疾杆菌的幼苗对退化地区的恢复至关重要,而且该物种的果实具有广泛的商业利用价值,因此我们决定评估营养物质的缺失是否会影响该植物叶片解剖超微结构、干物质生产和光合色素的合成,试图利用这一性质的数据来预测该物种幼苗营养缺乏的症状。为此,我们在水培系统中种植幼苗,提供所有营养,也单独省略每种营养。因此,我们评估了每种营养物质的缺失对叶片解剖结构、干产量和光合色素合成的影响。在缺乏钙和锰的情况下,幼苗的海绵薄壁组织和叶肉发育受到损害,而缺乏钾和镁的幼苗的表皮细胞和气孔数量增加。干量产低与缺S、缺Mn有关,缺P、缺N、缺Fe直接影响色素合成。因此,叶片解剖和生理数据可以预测营养缺乏状况,使用户能够在痢疾杆菌幼苗出现症状之前诊断出营养缺乏。我们的研究结果可能有助于研究人员了解营养流失对其他塞拉多原生植物的影响
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Anatomical and physiological characteristics of leaves from Eugenia dysenterica DC. can predict nutritional deficiency symptoms
Plants receiving insufficient concentrations of the different essential nutrients may respond symptomatically to this stress. However, when the first visible symptoms of nutritional deficiency appear, plants already exhibit significant changes in their structure. As seedlings of E. dysenterica are important for the recovery of degraded areas and as the fruits of this species are widely exploited commercially, we decided to evaluate whether the omission of nutrients may affect the leaf anatomical ultrastructure, dry matter production and the synthesis of photosynthetic pigments in this plant, in an attempt to use data of this nature to predict symptoms of nutritional deficiency in seedlings of this species. For this purpose, we grow seedlings in a hydroponic system, offering all nutrients and also omitting each nutrient individually. Thus, we evaluated the effect of the omission of each nutrient on the anatomical leaf structure, dry mass production and the synthesis of photosynthetic pigments. Seedlings that grew in the absence of Ca and Mn exhibited compromised spongy parenchyma and mesophyll development, while the omission of K and Mg increased the number of epidermal cells and stomata. Low dry mass production in E. dysenterica was related to the omission of S and Mn, while P, N and Fe deficiencies directly affected the synthesis of pigments. Thus, leaf anatomical and physiological data can predict nutritional deficiency conditions, enabling the user to diagnose the deficiency before the onset of symptoms in E. dysenterica seedlings. Our results may help investigators to understand the effects of nutritional omissions on other native Cerrado plants
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