Early growth of corn seedlings after seed priming with magnetite nanoparticles synthetised in easy way
Early growth of corn seedlings after seed priming with magnetite nanoparticles synthetised in easy way
复制标题
用简单方法合成的磁铁矿纳米颗粒种子引发后玉米幼苗的早期生长
DOI：
10.1080/09064710.2020.1852304
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Batista, Marcelo Augusto
中科院分区：
文献类型：
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作者：
Esper Neto, Michel;Britt, David W.;Jackson, Kyle Alan;Coneglian, Carolina Fedrigo;Inoue, Tadeu Takeyoshi;Batista, Marcelo Augusto
纳米颗粒(NP)的使用正成为不同科学分支的重要替代选择，例如在农业中用作新的化肥来源。本研究对铁(Fe)NP作为玉米种子引发剂进行了试验。为了评价玉米幼苗的早期生长发育，采用完全随机设计的析因试验(5 × 3)，重复4次。其中一个因素是与体内铁有关的浓度(0，20，40，80,160 mg 1)，三个水平的因素是源(Fe3O4Np，Fe3O4Bulk和FeCl3)。以50粒无菌种子为材料，用总铁浓度为200 m L的不同浓度溶液浸泡8 h，观察种子萌发和生物特征发育情况。与本试验的其他铁源相比，铁纳米颗粒促进了对幼苗生长的有利反应。人们意识到，Fe3O4NP浓度的有益影响比其他受试源要低。颗粒大小对生物利用度有重要影响。本研究中所获得的植株反应表明，在50~70 mg L−1浓度范围内，基于内插法，铁纳米粒对玉米种子的引发效果是稳定的。
Nanoparticle (NP) use is becoming important alternative in different branches of science such as in agriculture, used as new source of fertiliser. In this study, it was tested iron (Fe) NP, applied as corn seed priming. In order to evaluate the early growth and development of the corn seedling a factorial experiment (5 × 3) was performed in a complete random way design with 4 replications. One of the factors were concentrations of (0, 20, 40, 80, 160 mg L−1) related to iron inside and the factor with three levels were sources (Fe3O4NP, Fe3O4bulk and FeCl3). 50 sterile seeds were the plot composition, which were soaked in the different Fe concentration solution containing a total volume of 200 mL for 8 h. Germination and biometric development were evaluated. Fe NPs promoted beneficial responses for seedling growth compared to other Fe sources tested here. It was realised that Fe3O4NP concentration beneficial effects was lower compared to the other tested sources. Particle size had an important assignment in the bioavailability. The plant response reached in this research indicated iron NPs can consist efficiency for corn seed priming when applied between 50 and 70 mg L−1concentration based on interpolation.