Hostname: page-component-76fb5796d-5g6vh Total loading time: 0 Render date: 2024-04-26T08:14:21.869Z Has data issue: false hasContentIssue false

The role of glyphosate-resistant weeds and starvation on biological, reproductive, and preference parameters of Chrysodeixis includens (Lepidoptera: Noctuidae)

Published online by Cambridge University Press:  19 October 2022

Natália Alves Leite*
Affiliation:
Crop Protection Department, Federal University of Rio Grande do Sul, Bento Gonçalves Av., 7712, 91540000, Porto Alegre, Rio Grande do Sul, Brazil
Luiza Rodrigues Redaelli
Affiliation:
Crop Protection Department, Federal University of Rio Grande do Sul, Bento Gonçalves Av., 7712, 91540000, Porto Alegre, Rio Grande do Sul, Brazil
Larissa Souza de Assis
Affiliation:
Crop Protection Department, Federal University of Rio Grande do Sul, Bento Gonçalves Av., 7712, 91540000, Porto Alegre, Rio Grande do Sul, Brazil
Simone Martins Mendes
Affiliation:
Department of Entomology, National Research Center of Maize and Sorghum (Embrapa Milho & Sorgo), Rodovia MG 242, Km 45, P.O. Box 285, Sete Lagoas, Minas Gerais, Brazil
Alexandre Ferreira da Silva
Affiliation:
Department of Agriculture Weeds, National Research Center of Maize and Sorghum (Embrapa Milho & Sorgo), Rodovia MG 242, Km 45, P.O. Box 285, Sete Lagoas, Minas Gerais, Brazil
*
Author for correspondence: Natália Alves Leite, Email: alvesnat@gmail.com

Abstract

Glyphosate-resistant weeds are difficult to manage and can serve as hosts for pests that threaten cultivated crops. Chrysodeixis includens (Walker) (Lepidoptera: Noctuidae) is one of the main polyphagous pests of soybean in Brazil that can benefit from weeds' presence during season and off-season. Despite its pest status, little is known about C. includens survival and development on alternative hosts, including those resistant to glyphosate. Therefore, we assessed the biology, reproduction, preference, and survival at different feeding periods of C. includens on seven glyphosate-resistant weeds (Sumatran fleabane, Italian ryegrass, sourgrass, goosegrass, smooth pigweed, wild poinsettia, hairy beggarticks) commonly found in Brazilian agroecosystems, under laboratory conditions. Our results showed that C. includens survival and reproduction were similar on soybean and wild poinsettia. Survival and reproduction were lower on smooth pigweed and hairy beggarticks. Also, these plants prolonged the larval stage. Larvae did not pupate when fed on sourgrass, goosegrass, Italian ryegrass, and Sumatran fleabane. However, on Sumatran fleabane their biomass was higher. The mean generation time was lower on wild poinsettia. This weed was preferred to soybean. An antifeeding factor was observed on Sumatran fleabane. Larvae fed for 11 days on soybean, wild poinsettia and smooth pigweed developed into pupae. In agricultural systems, farmers must pay attention to the management of these weeds, especially wild poinsettia, smooth pigweed, and hairy beggarticks, to interrupt the cycle of this pest, since these plants can serve as main sources of infestation for the soybean crop.

Type
Research Paper
Copyright
Copyright © Embrapa Milho e Sorgo, 2022. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adegas, F, Oliveira, M, Vieira, O, Prete, C and Gazziero, D (2010) Phytosociological survey of weeds in sunflower crop. Planta Daninha 28, 705716.CrossRefGoogle Scholar
Adegas, F, Gazziero, D, de Oliveira Junior, R, Mendes, R and Rodrigues, L (2020) Euphorbia heterophylla: um novo caso de resistência ao glifosato no Brasil. Embrapa Soja-Comunicado Técnico (INFOTECA-E).Google Scholar
Bakr, E (2005) A new software for measuring leaf area, and area damaged by Tetranychus urticae Koch. Journal of Applied Entomology 129, 173175.CrossRefGoogle Scholar
Bernardi, O, Malvestiti, GS, Dourado, PM, Oliveira, WS, Martinelli, S, Berger, GU, Head, GP and Omoto, C (2012) Assessment of the high-dose concept and level of control provided by MON 87701× MON 89788 soybean against Anticarsia gemmatalis and Pseudoplusia includens (Lepidoptera: Noctuidae) in Brazil. Pest Management Science 68, 10831091.CrossRefGoogle ScholarPubMed
Box, GE and Cox, DR (1964) An analysis of transformations. Journal of the Royal Statistical Society: Series B 26, 211243.Google Scholar
Carter, ET and Gillett-Kaufman, JL (2018) Soybean looper Chrysodeixis includens (Walker)(Insecta: Lepidoptera: Noctuidae). IFAS Extension, University of Florida, 14.CrossRefGoogle Scholar
Concenço, G, Ceccon, G, Sereia, R, Correia, I and Galon, L (2012) Phytosociology in agricultural areas submitted to distinct wintercropping management. Planta Daninha 30, 297304.CrossRefGoogle Scholar
Cruz, RA, Oliveira, GM, Carvalho, LB and Silva, MFGF (2020) Herbicide resistance in Brazil: status, impacts, and future challenges. In Price, A and Kelton, J (eds), Herbicides: Current Research and Case Studies in Use. London, UK: IntechOpen, pp. 153178.Google Scholar
Dalazen, G, Curioletti, L, Cagliari, D, Stacke, R and Guedes, J (2016) Hairy Fleabane as a source of major insect pests of soybean. Planta Daninha 34, 403409.CrossRefGoogle Scholar
Devi, NS, Padma, Y, Narasimhudu, C and Raju, RV (2013) Diversity of stomata and trichomes in Euphorbia L.-I. Bangladesh Journal of Plant Taxonomy 20, 2738.CrossRefGoogle Scholar
Favetti, BM, Braga-Santos, TL, Massarolli, A, Specht, A and Butnariu, AR (2017) Pearl millet: a green bridge for lepidopteran pests. Journal of Agricultural Science 9, 9297.CrossRefGoogle Scholar
Fehr, WR and Caviness, CE (1977) Stages of Soybean Development. Ames, IA: Iowa State University.Google Scholar
Franceschi, VR and Giaquinta, RT (1983) Glandular trichomes of soybean leaves: cytological differentiation from initiation through senescence. Botanical Gazette 144, 175184.CrossRefGoogle Scholar
Fuentes-Llanillo, R, Telles, TS, Junior, DS, de Melo, TR, Friedrich, T and Kassam, A (2021) Expansion of no-tillage practice in conservation agriculture in Brazil. Soil Tillage Research 208, 104877.CrossRefGoogle Scholar
Gols, R, Croijmans, L, Dicke, M, van Loon, JJ and Harvey, JA (2022) Plant quantity affects development and reproduction of a gregarious butterfly more than plant quality. Entomologia Experimentalis et Applicata 170, 646655.CrossRefGoogle Scholar
Gomes, F Jr and Christoffoleti, P (2008) Weed biology and management in no-tillage areas. Planta Daninha 26, 789798.Google Scholar
Graves, S, Piepho, H-P and Selzer, L (2019) multcompView: visualizations of paired comparisons. R package version 0.1–8. Available at https://CRAN.R-project.org/package=multcompView.Google Scholar
Greene, GL, Lepla, NC and Dickerson, WA (1976) Velvetbean caterpillar (Lepidoptera, Noctuidae) rearing procedure and artificial medium. Journal of Economic Entomology 69, 487488.CrossRefGoogle Scholar
Heap, I and Duke, SO (2018) Overview of glyphosate-resistant weeds worldwide. Pest Management Science 74, 10401049.CrossRefGoogle ScholarPubMed
Herzog, DC and Todd, JW (1980) Sampling velvetbean caterpillar on soybean. In Miller, TA (ed.), Sampling Methods in Soybean Entomology. New York, NY: Springer, pp. 107140.CrossRefGoogle Scholar
Horikoshi, RJ, Dourado, PM, Berger, GU, de S Fernandes, D, Omoto, C, Willse, A, Martinelli, S, Head, GP and Corrêa, AS (2021) Large-scale assessment of lepidopteran soybean pests and efficacy of Cry1Ac soybean in Brazil. Scientific Reports 11, 114.Google ScholarPubMed
HRAC-BR (2022) Herbicide Resistance Action Committee Brazil. Available at https://www.hrac-br.org/.Google Scholar
Hulburt, DJ, Boerma, HR and All, JN (2004) Effect of pubescence tip on soybean resistance to lepidopteran insects. Journal of Economic Entomology 97, 621627.CrossRefGoogle ScholarPubMed
Janes, M and Greene, G (1970) An unusual occurrence of loopers feeding on sweet corn ears in Florida. Journal of Economic Entomology 63, 13341335.CrossRefGoogle Scholar
Kalaskar, MG, Tatiya, AU, Lamale, JJ and Surana, SJ (2017) Morpho-anatomical studies of Euphorbia heterophylla Linn. leaves. Bioscience Discovery 8, 146152.Google Scholar
Kassambara, A, Kosinski, M and Biecek, P (2020) survminer: Drawing survival curves using ‘ggplot2’. R package version 0.4.8.Google Scholar
Krzyzaniak, F, Adegas, F, Mendes, R, Takano, H, Silva, V, Oliveira Junior, R, Constantim, J, Machado, F, Franchini, L and Gazziero, D (2018) Populações de picão-preto (Bidens subalternans) resistente ao glyphosate são encontradas no Paraguai. Informe Técnico PGA 4, 4.Google Scholar
Lamego, F, Kaspary, T, Ruchel, Q, Gallon, M, Basso, C and Santi, A (2013) Manejo de Conyza bonariensis resistente ao glyphosate: coberturas de inverno e herbicidas em pré-semeadura da soja. Planta Daninha 31, 433442.CrossRefGoogle Scholar
Levin, DA (1973) The role of trichomes in plant defense. The Quarterly Review of Biology 48, 315.CrossRefGoogle Scholar
Li, C, Wang, P, Lombi, E, Cheng, M, Tang, C, Howard, DL, Menzies, NW and Kopittke, PM (2018) Absorption of foliar-applied Zn fertilizers by trichomes in soybean and tomato. Journal of Experimental Botany 69, 27172729.CrossRefGoogle ScholarPubMed
Lucio, FR, Kalsing, A, Adegas, FS, Rossi, CVS, Correia, NM, Gazziero, DLP and da Silva, AF (2019) Dispersal and frequency of glyphosate-resistant and glyphosate-tolerant weeds in soybean-producing edaphoclimatic microregions in Brazil. Weed Technology 33, 217231.CrossRefGoogle Scholar
Ma, ZS (2021) A unified survival-analysis approach to insect population development and survival times. Scientific Reports 11, 112.Google ScholarPubMed
Maia, ADN, Luiz, AJB and Campanhola, C (2000) Statistical inference on associated fertility life table parameters using jackknife technique: computational aspects. Journal of Economic Entomology 93, 511518.CrossRefGoogle ScholarPubMed
Mirth, CK and Riddiford, LM (2007) Size assessment and growth control: how adult size is determined in insects. Bioessays 29, 344355.CrossRefGoogle ScholarPubMed
Moraes, T, da Silva, AF, Leite, NA, Karam, D and Mendes, SM (2020) Survival and development of fall armyworm (Lepidoptera: Noctuidae) in weeds during the off-season. The Florida Entomologist 103, 288292.CrossRefGoogle Scholar
Moral, RA, Hinde, J and Demétrio, CG (2017) Half-normal plots and overdispersed models in R: the hnp package. Journal of Statistical Software 81, 123.CrossRefGoogle Scholar
Morando, R, Baldin, ELL, Cruz, PL, Lourenção, AL and Chiorato, AF (2015) Antixenosis of bean genotypes to Chrysodeixis includens (Lepidoptera: Noctuidae). Pesquisa Agropecuária Brasileira 50, 450458.CrossRefGoogle Scholar
Morando, R, Baldin, E, Cruz, P and Lourenção, A (2017) Assessing common bean cultivars for resistance to the soybean looper Chrysodeixis includens (Lepidoptera: Noctuidae). Neotropical Entomology 46, 561570.CrossRefGoogle Scholar
Oliveira, MC, Lencina, A, Ulguim, AR and Werle, R (2021) Assessment of crop and weed management strategies prior to introduction of auxin-resistant crops in Brazil. Weed Technology 35, 155165.CrossRefGoogle Scholar
Parra, JRP (2001) Técnicas de criação de insetos para programas de controle biológico, ESALQ/FEALQ.Google Scholar
Pencoe, NL and Martins, PB (1982) Fall armyworm (Lepidoptera: Noctuidae) larval development and adult fecundity on five grass hosts. Environmental Entomology 11, 720723.CrossRefGoogle Scholar
RStudio Team (2020) RStudio: Integrated Development for R. Boston, MA: RStudio PBC.Google Scholar
Russell, L (2020) emmeans: estimated marginal means, aka Least-Squares Means. R package version 1.4.8. Available at https://CRAN.R-project.org/package=emmeans.Google Scholar
Santos, SR, Specht, A, Carneiro, E and Casagrande, MM (2021) The influence of agricultural occupation and climate on the spatial distribution of Plusiinae (Lepidoptera: Noctuidae) on a latitudinal gradient in Brazil. Revista Brasileira de Entomologia 65, 18.Google Scholar
Santos, SR, Specht, A, Carneiro, E, Paula-Moraes, SV and Casagrande, MM (2017) A interseasonal variation of Chrysodeixis includens (Walker, [1858]) (Lepidoptera: Noctuidae) populations in the Brazilian Savanna. Revista Brasileira de Entomologia 61, 294299.CrossRefGoogle Scholar
SAS (2011) Base SAS® 9.3 Procedures Guide. Cary, NC: SAS Institute Inc.Google Scholar
Schlick-Souza, EC, Baldin, ELL, Morando, R and Lourenção, AL (2017) Antixenosis to Chrysodeixis includens (Lepidoptera: Noctuidae) among soybean genotypes. Bragantia 77, 124133.CrossRefGoogle Scholar
Seifi, A, Visser, R and Bai, Y (2013) How to effectively deploy plant resistances to pests and pathogens in crop breeding. Euphytica 190, 321334.CrossRefGoogle Scholar
Smith, CM (2005) Plant Resistance to Arthropods: Molecular and Conventional Approaches. Dordrecht: Springer Science & Business Media.CrossRefGoogle Scholar
Specht, A, Paula-Moraes, SVD and Sosa-Gómez, DR (2015) Host plants of Chrysodeixis includens (Walker) (Lepidoptera, Noctuidae, Plusiinae). Revista Brasileira de Entomologia 59, 343345.CrossRefGoogle Scholar
Specht, A, Sosa-Gómez, DR, Roque-Specht, VF, Valduga, E, Gonzatti, F, Schuh, SM and Carneiro, E (2019) Biotic potential and life tables of Chrysodeixis includens (Lepidoptera: Noctuidae), Rachiplusia nu, and Trichoplusia ni on soybean and forage turnip. Journal of Insect Science 19, 18.CrossRefGoogle ScholarPubMed
Therneau, T (2020) A package for survival analysis in R. R package version 3.1, pp. 112.Google Scholar
Venables, WN and Ripley, BD (2002) Modern Applied Statistics with S, 4th Edn. New York: Springer.CrossRefGoogle Scholar