Robotics & Machine Learning Daily News2024,Issue(Jun.6) :116-117.

Investigators at Department of Agroforestry Sciences Detail Findings in Machine Learning (Machine Learning Unveils the Action of Different Endogenous Phenolic C ompounds Present or Formed Along the Rooting Development In Olive Stem Cuttings)

农林科学系的研究人员详细介绍了机器学习的发现(机器学习揭示了橄榄茎插条生根过程中存在或形成的不同内源酚类化合物的作用)

Robotics & Machine Learning Daily News2024,Issue(Jun.6) :116-117.

Investigators at Department of Agroforestry Sciences Detail Findings in Machine Learning (Machine Learning Unveils the Action of Different Endogenous Phenolic C ompounds Present or Formed Along the Rooting Development In Olive Stem Cuttings)

农林科学系的研究人员详细介绍了机器学习的发现(机器学习揭示了橄榄茎插条生根过程中存在或形成的不同内源酚类化合物的作用)

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摘要

由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据来自西班牙韦尔瓦的新闻,NewsRx Cor的受访者称,“PLANT生根内源酚类物质含量的变化可能受到基因型、激素或两种因素的交互作用的影响,从而改变了植物生根能力。”通过对橄榄插穗中总酚含量和简单酚含量(TPC)的临时评价,模拟了IBA处理和品种冠度对插穗生根发育的联合效应。我们的新闻记者引用了农林科学系的研究,“对生根能力和酚类物质进行了监测,结果表明,‘Lechin-de-Sevilla,1’的累积生根最低,高生根品种(‘Verdial-de-Hue 1 Var’和‘Arbequina’)在试验的第一天的生根速度最高。总共有14种酚类化合物,包括酚酸和醛(8),黄酮类化合物(5)和糖基化的环烯醚萜烯‘Verdial de Hue 1 Var’和‘Gordal Sevillana’品种中的Luteo Lin和‘Lechin de Sevilla’品种中的阿魏酸是含量最高的酚类化合物。时间对香兰素和橄榄苦苷没有影响,尽管在高生根品种中,这些化合物的含量几乎是恒定的,而在低生根和中生根品种中,一般来说,这些化合物的含量分别增加或减少

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news originating from Huelva, Spain, by NewsRx cor respondents, research stated, “Changes in the endogenous phenolic content of pla nt rooting could be influenced by genotype, hormones, or the interaction of both factors, thus modifying the plant rooting capacity/ability along the rooting de velopment. In this study, the combined effects of IBA treatment and cultivar cap acity on the rooting development of olive cuttings were modeled by the temporary assessment of simple and total phenolic content (TPC).” Our news journalists obtained a quote from the research from the Department of A groforestry Sciences, “Rooting ability and phenolic profile were monitored. Resu lts indicated the lowest cumulative rooting in ‘Lechin-de-Sevilla, <acute accent > and the highest rooting speed during the first days of the trial in high-rooting cultivars (‘Verdial-de-Hue <acute accent >var’ and ‘Arbequina’). A total of 14 pheno lic compounds comprising phenolic acids and aldehyde (8), flavonoids (5), and a glycosylated seco-iridoid were quantified in rooted olive cuttings. Most of the phenolics presented a significant higher concentration in the ‘Lechin-de-Sevilla ’ cultivar, except for the ferulic acid and luteolin, as well the TPC that varie d as did the rooting parameter. At the end of the rooting trial (60 days), luteo lin in ‘Verdial de Hue <acute accent > var’ and ‘Gordal sevillana’ cultivars and ferulic acid in ‘Lechin de Sevilla’ we re the phenolics exclusively found in the highest concentrations. Time did not a ffect vanillin and oleuropein, although in the case of high-rooting cultivars, v alues for these compounds were almost constant, while in low- or medium-rooting cultivars, by general, increased or decreased, respectively.”

Key words

Huelva/Spain/Europe/Cyborgs/Emerging Technologies/Machine Learning/Department of Agroforestry Sciences

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出版年

2024
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Robotics & Machine Learning Daily News

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