Use of Visible Spectral Index and Soybean Plant Variables to Study Hidden Nematicide Phytotoxicity

Author:

Lemes Ernane Miranda1ORCID,Santos Maria Amélia dos1,Coelho Lísias1ORCID,Andrade Samuel Lacerda de2,Oliveira Aline dos Santos1,Pessoa Igor Diniz1,Cunha João Paulo Arantes Rodrigues1ORCID

Affiliation:

1. Institute of Agricultural Sciences (ICIAG), Federal University of Uberlândia (UFU), Uberlândia 38400-902, Brazil

2. Institute of Geography (IG), Federal University of Uberlândia (UFU), Monte Carmelo 38500-000, Brazil

Abstract

Significant crop losses are due to plant-parasitic nematodes. Nematicides are expensive and potentially toxic to men, the environment, and plants. This study evaluated the hidden phytotoxicity effects of nematicides in soybeans. Two soybean cultivars (8473RSF and M7198IPRO) were evaluated with five nematicide treatments (biological, cadusaphos, abamectin, fluensulfone, and an untreated control) for changes in chlorophylls, biometrics, and spectral (TGI visible spectral index captured with a smartphone camera) variables to determine and anticipate the identification of plant stresses. Evaluations occurred 33, 47, and 66 days after sowing (DAS). The a/b chlorophyll proportion was greatest for M7198IPRO and cadusaphos. The chlorophyll variables did not present significant interactions or differences at 47 DAS, indicating that possible nematicide effects were transient and should be evaluated earlier than 33 DAS. Leaf area, leaf mass, and shoot mass were smaller for 8473RSF and outstanding for abamectin and fluensulfone. The response of the spectral index did not present significant interaction among the factors; however, at 33 and 47 DAS, the index was low for 8473RSF and lowest for cadusaphos only at 33 DAS. The correlations between the spectral index and other variables were significant and moderate for soybean total leaf area. Although no apparent phytotoxicity symptoms caused by nematicides were observed, the visible vegetation index generated using a smartphone camera can still improve crop management solutions.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

MDPI AG

Subject

Engineering (miscellaneous),Horticulture,Food Science,Agronomy and Crop Science

Reference86 articles.

1. Companhia Nacional de Abastecimento (CONAB) (2022, July 23). Acompanhamento da Safra—Grãos. Safra 2022–2023, 10° Levantamento, Available online: http://www.conab.gov.br.

2. Brown, J.F., and Ogle, H.J. (1997). Plant Pathogens and Plant Diseases, University of New England Printery.

3. Lemes, E.M., Castro, L., and Assis, R. (2015). Doenças da soja: Melhoramento Genético e Técnicas de Manejo (Soybean Diseases: Genetic Improvement and Management Techniques), Publisher Millennium.

4. Agrios, G.N. (2005). Plant Pathology, Elsevier Academic Press. [5th ed.].

5. Sabato, E.O., Nicésio, F.J.A.P., and Fernandes, F.T. (2013). Identificação e Controle de Doenças do Milho (Identification and Control of Corn Diseases), Embrapa Informação Tecnológica. [2nd ed.].

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3