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采用传统方法、图像和多元分析比较精油对豇豆(Walp.)种子质量的影响。

Influence of essential oils on the quality of Vigna unguiculata L. (Walp.) seeds compared by traditional method, image and multivariate analysis.

机构信息

Universidade Federal da Paraíba - UFPB, Centro de Ciências Agrárias - CCA, Campus Areia, Areia, PB, Brasil.

Universidade Federal de Viçosa - UFV, Campus Viçosa, Viçosa, MG, Brasil.

出版信息

Braz J Biol. 2023 May 29;83:e272616. doi: 10.1590/1519-6984.272616. eCollection 2023.

DOI:10.1590/1519-6984.272616
PMID:37255203
Abstract

The extracts of medicinal plants are used for the treatment of seeds in order to reduce the action of phytopathogens and increase the vigor of the seeds. Currently, computerized image analysis has been used to assess the physiological quality of seed lots. The objective was to evaluate the efficiency of the Vigor-S® software in the evaluation of the physiological quality of cowpea seeds treated with essential oils, comparing with a traditional test and the principal component analysis. Two cowpea cultivars were analyzed, BRS Tumucumaque and BRS Guariba, treated with doses of natural extracts of Alfavaca, garlic, horsetail, citronella and pyroligneous acid. The traditional method consisted of evaluations for germination, first germination count, seedling emergence, emergence speed index, accelerated aging, fresh matter and dry matter of seedling and the image analysis for: seedling length, growth index, uniformity index, vigor index, and germination. A Principal component analysis was applied to reduce the number of variables. Horsetail, Alfavaca and citronella extracts were efficient in increasing the physiological quality of the seeds of at least one cultivar. The Vigor-S® software proved to be efficient compared to traditional tests to assess the physiological quality of seeds. Principal Component Analysis is an ally to identify the best extracts and doses to be used. The image analysis method proved to be effective when compared to the traditional method and can therefore be used.

摘要

药用植物提取物被用于处理种子,以减少植物病原菌的作用并提高种子活力。目前,计算机图像分析已被用于评估种子批的生理质量。本研究的目的是评估 Vigor-S®软件在评估用精油处理的豇豆种子的生理质量方面的效率,并与传统测试和主成分分析进行比较。分析了两个豇豆品种,即 BRS Tumucumaque 和 BRS Guariba,用 Alfavaca、大蒜、木贼、香茅和木醋液等天然提取物进行处理。传统方法包括发芽、首次发芽计数、幼苗出土、出土速度指数、加速老化、幼苗鲜重和干重以及图像分析:幼苗长度、生长指数、均匀度指数、活力指数和发芽率。应用主成分分析来减少变量的数量。木贼、Alfavaca 和香茅提取物对至少一种品种的种子生理质量的提高是有效的。Vigor-S®软件在评估种子的生理质量方面比传统测试更有效。主成分分析是识别最佳提取物和剂量的有力工具。与传统方法相比,图像分析方法是有效的,因此可以使用。

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