Acessibilidade / Reportar erro

Macrospora leaf spot development conditions and resistance/tolerance of Brazilian commercially grown maize genotypes

ABSTRACT.

Macrospora leaf spot (MLS), caused by the fungus Stenocarpella macrospora, is one of the most important diseases affecting maize in Brazil. However, there are no MLS-resistant cultivars commercially available. Therefore, this study aimed to investigate the lesion expansion rate of MLS in four maize genotypes, leaf wetness duration (0-, 6-, 12-, 18-, 24-, 30-, 36-, 42-, and 54-hour post-inoculation), disease development severity in three maize genotypes, and resistance/tolerance levels to MLS in 141 maize genotypes commercially grown in Brazil. The estimates were performed using logistic models adjusted to the parameters analyzed, except for resistance/tolerance levels, which were analyzed using proposed severity and resistance scales. The experiment was carried out at the Laboratory of Plant Phytopathology of the Epagri/Cepaf, Santa Catarina State, Brazil, from 2016 to 2020. Disease resistance was significantly different among genotypes and fungal isolates. However, none of the genotypes showed resistance or high tolerance levels to MLS. Leaf wetness duration influenced maximum disease severity, and lesion expansion rate differed significantly among the genotypes tested. All information generated in this study is essential for breeding programs of maize for MLS resistance.

Keywords:
corn; leaf wetness duration; lesion expansion rate; severity; Stenocarpella macrospora

Introduction

Maize (Zea mays L.) fields in Brazil occupied more than 21.2 million hectares during the 2021/2022 harvest season, making it the second most important annual crop in the country, with a production estimated to reach 115.6 million metric tons and a value of production of over U$ 30 billion, an increase in production of over 32% when compared to its previous harvest season (Companhia Nacional de Abastecimento [CONAB], 2022Companhia Nacional de Abastecimento [CONAB]. (2022). Acompanhamento da Safra Brasileira - Safra 2021/22 - 7° Levantamento. Brasília, DF: CONAB.). Besides its direct impact on the country’s economy, maize is also the basis of human/animal food and feed, serving as well as raw material for many industrial processes, such as ethanol and drug production (Shah, Prasad, & Kumar, 2016Shah, T. R., Prasad, K., & Kumar, P. (2016). Maize - A potential source of human nutrition and health: A review. Cogent Food & Agriculture, 2(1), 1-9. DOI: https://doi.org/10.1080/23311932.2016.1166995
https://doi.org/https://doi.org/10.1080/...
; Zhang et al., 2021Zhang, R., Ma, S., Li, L., Zhang, M., Tian, S., Wang, D., … Wang, X. (2021). Comprehensive utilization of corn starch processing by-products: A review. Grain & Oil Science Technology, 4(3), 89-107. DOI: https://doi.org/10.1016/j.gaost.2021.08.003
https://doi.org/https://doi.org/10.1016/...
). Therefore, the search for better agricultural practices, cultivars, and phytosanitary products to help increase yields and decrease disease incidence/severity in maize fields are not only necessary for Brazilian agriculture but worldwide.

Among the most problematic diseases for maize production in Brazil, macrospora leaf spot (MLS) can be highlighted (Silva, Fonseca, Yamada, & Pontes, 2020Silva, T. S., Fonseca, L. F., Yamada, J. K., & Pontes, N. C. (2020). Flutriafol and azoxystrobin: An efficient combination to control fungal leaf diseases in corn crops. Crop Protection, 140, 105394. DOI: https://doi.org/10.1016/j.cropro.2020.105394
https://doi.org/https://doi.org/10.1016/...
). Also known as Diplodia Leaf Streak, the disease is caused by a necrotrophic fungus, Stenocarpella macrospora (Earle) Sutton (syn. Diplodia macrospora Earle in Bull.), and is more common for maize grown under warm and humid conditions of tropical and subtropical regions (Wordell Filho, Casa, & Nesi, 2016Wordell Filho, J. A., Casa, R. T., & Nesi, C. N. (2016). Manejo de doenças na cultura do milho. In J. A. Wordell Filho , L. A. Chiaradia (Org.), A cultura do milho em Santa Catarina (p. 161-222). Florianópolis, SC: Epagri.; Mário, Gozuen, & Juliatti, 2017Mário, J. L., Gozuen, C. F., & Juliatti, F. C. (2017). Stenocarpella macrospora and Stenocarpella maydis in the cerrado and southern Brazil regions. Bioscience Journal, 33(1), 76-87. DOI: https://doi.org/10.14393/Bj-v33n1a2017-36068
https://doi.org/https://doi.org/10.14393...
). The ideal conditions for conidia germination are relative humidity over 50% and temperatures between 25 and 32°C (Lorenzetti et al., 2019Lorenzetti, E., Tartaro, J., Neto, A. J. A., Heling, A. L., Carvalho, J. C., Stangarlin, J. R., ... Portz, R. L. (2019). Development and validation of a diagrammatic scale for quantifying maize leaf spots caused by Diplodia macrospora. Semina, 40(6), 2475-2486. DOI: https://doi.org/10.5433/1679-0359.2019v40n6p2475
https://doi.org/https://doi.org/10.5433/...
).

Despite difficult measurements (Mueller et al., 2020Mueller, D. S., Wise, K. A., Sisson, A. J., Allen, T. W., Bergstrom, G. C., Bissonnette, K. M., … Wiebold, W. J. (2020). Corn yield loss estimates due to disease in the United States and Ontario, Canada, from 2016 to 2019. Plant Health Progress , 21(4), 238-247. DOI: https://doi.org/10.1094/PHP-05-20-0038-RS
https://doi.org/https://doi.org/10.1094/...
), yield losses due to MLS infection were estimated at 273.8 million bushels between 2016 to 2019 in the USA and Ontario (Canada). Nevertheless, as this disease can also cause stalk rot and ear rot in maize cultivars (Mário et al., 2017Mário, J. L., Gozuen, C. F., & Juliatti, F. C. (2017). Stenocarpella macrospora and Stenocarpella maydis in the cerrado and southern Brazil regions. Bioscience Journal, 33(1), 76-87. DOI: https://doi.org/10.14393/Bj-v33n1a2017-36068
https://doi.org/https://doi.org/10.14393...
), financial losses in the USA have been estimated at up to US$1.68 billion per harvest season when qualitative parameters, such as incidence of mycotoxins (aflatoxins), are analyzed (Mitchell, Bowers, Hurburgh, & Wu, 2016Mitchell, N. J., Bowers, E., Hurburgh, C., & Wu, F. (2016). Potential economic losses to the US corn industry from aflatoxin contamination. Food Additives and Contaminants Part A, 33(3), 540-550. DOI: https://doi.org/10.1080/19440049.2016.1138545
https://doi.org/https://doi.org/10.1080/...
).

The most common MLS symptoms on maize leaves are small brown spots of water-soaked appearance with a chlorotic halo, which tends to become irregular or elliptical and develop concentric rings, with a reddish or yellow halo as the disease progresses (Siqueira, Machado, Barrocas, & Almeida, 2014Siqueira, C. S., Machado, J. C., Barrocas, E. N., & Almeida, M. F. (2014). Potential for transmission of Sternocarpella macrospora from inoculated seeds to maize plants grown under controlled conditions. Journal of Seed Science, 36(2), 154-161. DOI: https://doi.org/10.1590/2317-1545v32n2904
https://doi.org/https://doi.org/10.1590/...
; Anderson, Bradley, & Wise, 2021Anderson, N. R., Bradley, C. A., & Wise, K. A. (2021). Diplodia Leaf Streak of corn: A diagnostic guide. Plant Health Progress, 22(2), 159-163. DOI: https://doi.org/10.1094/PHP-01-21-0002-DG
https://doi.org/https://doi.org/10.1094/...
). The main source of primary MLS inoculum is the presence of large amounts of crop residues from previous harvest seasons in areas of no-tillage, which is widely adopted in most of Brazil (Anderson, Bradley, & Wise, 2021). Still, Brazilian farmers have faced the lack of registered fungicides for MLS control (Ministério da Agricultura, Pecuária e Abastecimento [MAPA], 2022Ministério da Agricultura, Pecuária e Abastecimento [MAPA]. (2022). Agrofit: Sistema de Agrotóxicos Fitossanitários. Retrieved on Mar. 10, 2022 from 10, 2022 from http://agrofit.agricultura.gov.br/agrofit_cons/principal_a grofit_cons
http://agrofit.agricultura.gov.br/agrofi...
), and no resistant cultivars are commercially available. In this sense, high-quality healthy seeds, crop rotation, biocontrol agents, efficient fungicides, and less susceptible cultivars are crucial to managing and controlling the disease (Munkvold, Munkvold, & White, 2016Munkvold, G., Munkvold, G. P., & White, D. G. (2016). Compendium of corn diseases (4th ed.). St. Paul, MI: The American Phytopathological Society. ).

In Brazil, maize hybrids and varieties have been generally classified for their resistance/ tolerance to stalk rot and ear rot and, in some situations, concerning the incidence of burned grains and mycotoxin production. Reports on genetic resistance/tolerance of hybrids to foliar diseases are few and imprecise, especially on the genus Stenocarpella (Wordell Filho et al., 2016Wordell Filho, J. A., Casa, R. T., & Nesi, C. N. (2016). Manejo de doenças na cultura do milho. In J. A. Wordell Filho , L. A. Chiaradia (Org.), A cultura do milho em Santa Catarina (p. 161-222). Florianópolis, SC: Epagri.). In this context, one should bear in mind that disease-resistance selection requires precise phenotypic testing.

Given the above background, the present study aimed to investigate the leaf wetness duration for MLS development in three maize cultivars, MLS lesion expansion rate in four maize cultivars, and genotype resistance/tolerance to MLS in 141 maize cultivars. To our knowledge, the information generated in this study is currently scarce in the literature and may help private/governmental companies/agencies, researchers, and farmers to breed new cultivars with resistance or higher tolerance level to the disease.

Material and methods

The study was conducted at the Laboratory of Plant Phytopathology of the Epagri/Cepaf, Santa Catarina State, Brazil, from 2016 to 2020. In the experiment, maize cultivars were evaluated to establish leaf wetness duration for macrospora leaf spot (MLS) incidence/severity, resistant/tolerant genotypes, and MLS lesion expansion rate.

Leaf wetness duration

For leaf wetness duration determination, we used two single maize hybrids (“P32R48” and “DKB240”) and one open-pollinated variety (“SCS155 Catarina”). Maize genotypes were chosen based on their differences in necrotic leaf area measurement by Bermudéz-Cardona, Wordell Filho, and Rodrigues (2015Bermudéz-Cardona, M., Wordell Filho, J. A., & Rodrigues, F. A. (2015). Leaf gas exchange and chorophyll a fluorescence in maize leaves infected with Stenocarpella macrospora. Phytopathology , 105(1), 26-34. DOI: https://doi.org/10.1094/PHYTO-04-14-0096-R
https://doi.org/https://doi.org/10.1094/...
) and Hawerroth et al. (2019Hawerroth, C., Araujo, L., Bermúdez-Cardona, M., Silveira, P. R., Wordell Filho, J. A., & Rodrigues, F. A. (2019). Silicon-mediated maize resistance to macrospora leaf spot. Tropical Plant Pathology, 44, 192-196. DOI: https://doi.org/10.1007/s40858-018-0247-8
https://doi.org/https://doi.org/10.1007/...
). To do so, plants were grown in plastic vases containing about 500 g of sterilized substrate Tecnomax (Composition: peat, Pinus bark, expanded vermiculite, dolomitic limestone, and agricultural plaster; pH 5.8; EC 0.7 ± 0.3 mS cm-1, and dry density 101 kg m-3).

The plants were inoculated with a pre-identified monosporic isolate of S. macrospora (Dm54). It was obtained from symptomatic leaves of the maize hybrid “P32R48H” collected in the municipality of Abelardo Luz, Santa Catarina (26°33'53" S, 52°19'42" W, 760-m altitude). The inoculum was produced aseptically by transferring the conidia to 9-cm culture plates with oatmeal agar (oat 140 g and agar 15 g in 1 L of distilled water), which were incubated for 30 days at 22ºC with a 12-hour photoperiod (20 W fluorescent lamps emitting 260 to 280 uE m-2 s-1). The conidial suspension was prepared and quantified according to Tuite (1969Tuite, J. (1969). Plant pathological methods. Fungi and bacteria. Minneapolis, MI: Burgess Publish Co. ), filtered through two layers of cheesecloth to eliminate mycelial fragments, and added with 100 μL L-1 of surfactant (polyoxyethylene-20-sorbitan monolaurate, Tween 20) to facilitate inoculum dispersion on the leaf surface. Viable conidia were determined by transferring the culture plates, 12 hours before inoculation, to 10 mL distilled water (DW), and distributing them into four culture plates containing water agar. After 12-hour incubation at 22ºC, we checked the germination of 100 conidia per plate using a stereomicroscope. A conidium was considered viable if the germ tube was longer than the largest diameter of the conidium. Discrepancies in conidia germination were corrected by knowing inoculum viability.

The plants were inoculated at the phenological stage V1 (Nleya, Chungu, & Kleinjan, 2016Nleya, T., Chungu, C., & Kleinjan, J. (2016). Corn growth and development. In D. E. Clay, D. G. Carlsom, S. A. Clay, & E. Byamukama (Eds.), iGrow Corn: Best Management Practices (Chapter 5). Brookings, SD: South Dakota State University.), spraying a conidial suspension (viable conidia 5 × 104 mL-1, 2.3 mL plant-1) using a DeVilbiss atomizer (model SGA 570, SER 1281; DeVilbiss Co., Somerset, PA) at an air pressure of 55 kPa. Then the plants were transferred to a moist chamber and kept for 0, 6, 12, 18, 24, 30, 36, 42, and 54 hours after inoculation (HAI) at 24 ± 1ºC, 90% relative humidity, and a 12-hour photoperiod. The leaf surface of plants was allowed to dry before returning them to the growth chamber at a constant temperature of 24 ± 0.1ºC until evaluation. All tests were performed in a completely randomized design (CRD), with seven replicates, and repeated three times. Each replicate consisted of a vase containing four maize plants.

Disease evaluations were performed seven days after inoculation, using the severity scale of James (1974James, W. C. (1974). Assessment of plant diseases and losses. Annual Review ofPhytopathology , 12, 27-48. DOI: https://doi.org/10.1146/annurev.py.12.090174.000331
https://doi.org/https://doi.org/10.1146/...
). Gompertz model reparametrized by Zeviani, Silva, Carneiro, and Muniz (2013Zeviani, W. M., Silva, C., Carneiro, W. J. O., & Muniz, J. A. (2013). Modelos não lineares para a liberação de potássio de estercos animais em latossolos. Ciência Rural, 42(10), 1789-1796. DOI: https://doi.org/10.1590/S103-84872012001000012
https://doi.org/https://doi.org/10.1590/...
) was adjusted to the necrotic leaf area (disease severity) as a function of leaf wetness duration to estimate the time in which 99% of the maximum severity would be observed, as follows:

Y = b 1 e l o g 0.99 e b 2 1 - T b 3

where in: Y is the observed severity, T is the leaf wetness duration, b1 is the maximum asymptote (maximum severity), b2 is a parameter without direct interpretation, and b3 is the leaf wetness duration in which a maximum 99% severity is observed. Then, the logistic model reparametrized by Zeviani et al. (2013Zeviani, W. M., Silva, C., Carneiro, W. J. O., & Muniz, J. A. (2013). Modelos não lineares para a liberação de potássio de estercos animais em latossolos. Ciência Rural, 42(10), 1789-1796. DOI: https://doi.org/10.1590/S103-84872012001000012
https://doi.org/https://doi.org/10.1590/...
) was also adjusted, as follows:

Y = b 1 1 + 1 - 0.99 0.99 e - b 2 T - b 3

where in: Y is the observed severity, T is the leaf wetness duration, b1 is the maximum asymptote (maximum severity), b2 is a parameter without direct interpretation, and b3 is the leaf wetness duration in which a maximum 99% severity is observed.

The model to be used was chosen based on the smallest residual standard error (RSE), the smallest measures of linearity fit [parameter-effect curvature measure (PE) and intrinsic curvature measure (IN)], and the lowest Akaike information criterion (AIC) value.

Resistance of genotypes

MLS resistance was evaluated for 141 maize genotypes commercially grown in Brazil. Table 1 displays the classification of each genotype. Inocula used were the pre-identified monosporic isolates of S. macrospora (Dm54 and Dm58) obtained from maize leaves of the variety “SCS155 Catarina”, which were collected in the municipalities of Abelardo Luz and Chapecó (27°05'47" S, 52°37'06" W, Elevation 674m), Santa Catarina State, Brazil. Inoculated plants (phenological stage V1) were kept in a moist chamber (98% relative humidity, 12-hour photoperiod, 24 ± 0.5°C) for 30 HAI. Thereafter, the plants were transferred to a growth chamber (24 ± 0.2°C) and kept until evaluation. All tests were performed in a completely randomized design (CRD), with four replicates, and repeated twice. Each replicate consisted of a vase containing four plants. The disease was evaluated seven days after inoculation, measuring the proportion of leaf area necrosed by S. macrospora and using the severity scale proposed by James (1974James, W. C. (1974). Assessment of plant diseases and losses. Annual Review ofPhytopathology , 12, 27-48. DOI: https://doi.org/10.1146/annurev.py.12.090174.000331
https://doi.org/https://doi.org/10.1146/...
), as well as the resistance scale of Olatinwo, Cardwell, Deadman, and Julian (1999Olatinwo, R. O., Cardwell, K. F., Deadman, M. L., & Julian, A. M. (1999). Epidemiology of Stenocarpella macrospora (Earle) Sutton on maize in the mid-altitude zone of Nigeria. Journal ofPhytopathology , 147(6), 347-352. DOI: https://doi.org/10.1046/j.1439-0434.1999.00393.x
https://doi.org/https://doi.org/10.1046/...
), wherein: highly resistant (no symptom - VR), resistant (0.1 to 4% infected leaf area - R), moderately resistant (5 to 10% infected leaf area - MR), high/intermediate (11 to 20% infected leaf area - HI), intermediate (21 to 30% infected leaf area - I), low/intermediate (31 to 40% infected leaf area - LI), moderately susceptible (41 to 50% infected leaf area - MS), susceptible (51 to 60% infected leaf area - S), and highly susceptible (˃60% infected leaf area - HS).

Table 1
Classification of each maize genotype used during the experiments.

Lesion expansion rate of S. macrospora

Lesion expansion rate of S. macrospora was evaluated in four maize genotypes: three single hybrids (“P1630”, “DKB240”, and “30K75Y”) and one open-pollinated variety (“SCS155 Catarina”). These genotypes were chosen based on their resistance level to the disease and the size of the cultivated area in southern Brazil. The inoculum used was the pre-identified monosporic isolate Dm54. The methods used for plant growth, inoculum preparation, and inoculation were the same as those described for the “leaf wetness duration” and “resistance of genotypes” experiments. Inoculated plants (phenological stage V1) were kept in a moist chamber (98% relative humidity, 12-hour photoperiod, 24 ± 0.5°C) for 30 HAI. Thereafter, plants were transferred to a growth chamber (24 ± 0.2°C) and kept until evaluation. The length and width of 20 lesions, randomly selected per repetition, were measured every two days, with the help of a digital caliper (Worker Mark). Subsequently, the necrosed area (mm2) of each lesion was calculated. All tests were performed in a completely randomized design (CRD), with four replicates, and repeated twice. Each replicate consisted of a vase containing four plants.

The logistic model was adjusted to the necrotic leaf area data as follows:

Y = b 1 1 + 1 b 2 - 1 e - b 3 × x

where in: Y is the lesion area, x is the time after inoculation, b1 estimates the maximum area (lesion) of the lesion, b2 estimates the initial inoculum and b3 estimates the lesion expansion rate.

Statistical analyses

All analyses were performed with the statistical software R (RRID: SCR_001905) (R Core Team, 2022R Core Team. (2022). R: A language and environment for statistical computing. Vienna, AT: R Foundation for Statistical Computing. Retrieved on Mar. 10, 2022 from 10, 2022 from https://www.R-project.org
https://www.R-project.org...
), using the packages ‘nlme’ (RRID: SCR_015655) (Pinheiro, Bates, Debroy, Sarkar, & R Core Team, 2017Pinheiro, J., Bates, D., Debroy, S., Sarkar, D., & R Core Team. (2017). nlme: Linear and Nonlinear Mixed Effects Models. (R package version 3.1-131). Retrieved on Mar. 10, 2022 from 10, 2022 from https://CRAN.R-project.org/package=nlme
https://CRAN.R-project.org/package=nlme...
) and ExpDes.pt (Ferreira, Cavalcanti, & Nogueira, 2013Ferreira, E. B., Cavalcanti, P. P., & Nogueira, D. A. (2013). ExpDes.pt: Experimental Designs Package (R package version 1.1.2). Retrieved on Mar. 10, 2022 from 10, 2022 from https://cran.r-project.org/web/packages/ExpDes.pt/ExpDes.pt.pdf
https://cran.r-project.org/web/packages/...
).

Results

The genotypes tested showed significant differences concerning the incidence and severity of MLS as a function of the leaf wetness duration, inocula used, and lesion expansion rate (Tables 2, 3, 4, and 5). None of the genotypes were resistant or showed high tolerance to S. macrospora.

Leaf wetness duration

The adjustment of the Gompertz model to the MLS severity progress was performed to obtain a better fit for the results (Table 2 and Figure 1). The maize genotypes differed for maximum severity when exposed to different leaf wetness times (Table 2).

Table 2
Results of the non-linear regression analysis when the Logistic (Log) and Gompertz (Gomp) models were adjusted to the macrospora leaf spot (MLS) severity data in maize leaves as a function of the leaf wetness duration. CI (95% confidence interval), AIC (Akaike information criterion), RSE (residual standard error of the model), PE (parameter-effect curvature measure), IN (intrinsic curvature measure), b1 (maximum severity), and b3 (leaf wetness duration in which a maximum 99% severity is reached).

Figure 1
Progress curves of macrospora leaf spot (MLS) severity in maize leaves as a function of the leaf wetness duration. Blue lines refer to the adjusted model, and vertical lines represent the confidence interval for the estimation of b3 (leaf wetness duration in which a maximum of 99% severity is reached).

The maximum severity (b1) was observed for the hybrid “DKB240”, which ranged between 77.9 and 80.2%. This genotype differed significantly from the variety “SCS155 Catarina” and the hybrid “P32R48”, which did not differ from each other and had severity rates between 45.1 and 49.5%. However, “SCS155 Catarina” required between 39.6 and 46.7 hours of leaf wetness to reach 99% of the maximum severity (b3).

In the present study, MLS severity was significantly lower on leaves of the genotype “SCS155 Catarina” when compared to the hybrids “P32R48” and “DKB240”.

Resistance of genotypes

The evaluated maize genotypes showed different behaviors for both S. macrospora isolates used at the seedling stage (Tables 3 and 4). For the monosporic isolate Dm54, ten distinct groups of cultivars were observed according to the percentage of necrotic leaf area. For the group with the lowest severity, the necrotic area ranged from 17.37 to 24.92%, whereas for the group with the highest severity it ranged from 86.68 to 90.22% (Table 3).

Based on the resistance scale of Olatinwo et al. (1999Olatinwo, R. O., Cardwell, K. F., Deadman, M. L., & Julian, A. M. (1999). Epidemiology of Stenocarpella macrospora (Earle) Sutton on maize in the mid-altitude zone of Nigeria. Journal ofPhytopathology , 147(6), 347-352. DOI: https://doi.org/10.1046/j.1439-0434.1999.00393.x
https://doi.org/https://doi.org/10.1046/...
), none of the studied genotypes were classified as moderately resistant, resistant, or highly resistant. Moreover, none of them were fully resistant to the disease, with 57.44% being highly susceptible, 16.31% susceptible, 9.92% moderately susceptible, 10.63% low/intermediate, 4.25% intermediate, and 1.41% high/intermediate. The hybrids “AG8021YG”, “SMX1006”, “30A77HX”, “SMX1010”, “BM207”, and “P2530” had an intermediate behavior, while “20A78HX” and “BM7205” had a high/intermediate behavior.

For the isolate Dm58 (Table 4), the necrotic leaf area of hybrids with the lowest percentage of severity ranged between 15.31 to 20.03%, while for those with the highest severity it varied between 77.24 to 82.37%. None of the genotypes studied showed complete resistance to the disease, with 63.82% of the genotypes being highly susceptible, 12.05% susceptible, 14.89% moderately susceptible, 2.83% low/intermediate, 4.25% intermediate, and 2.12% high/intermediate according to the resistance scale of Olatinwo et al. (1999Olatinwo, R. O., Cardwell, K. F., Deadman, M. L., & Julian, A. M. (1999). Epidemiology of Stenocarpella macrospora (Earle) Sutton on maize in the mid-altitude zone of Nigeria. Journal ofPhytopathology , 147(6), 347-352. DOI: https://doi.org/10.1046/j.1439-0434.1999.00393.x
https://doi.org/https://doi.org/10.1046/...
).

The hybrids “SMX1002”, “AS1551”, “AS1550”, “P30B39”, “AS3430”, and “DKB177” had an intermediate behavior, while “SMX1003”, “AS3466”, and “SMX1001” showed a high/intermediate behavior, thus presenting a partial resistance to the disease. The hybrids “P30R50” and “P30F36” showed similar behavior for both isolates tested and were considered highly susceptible (HS) to MLS.

Table 3
Percentage of necrotic leaf area (severity) caused by S. macrospora using as inoculum the monosporic isolate Dm54. Before analysis, data were transformed y=y1.6 according to the Box-Cox transformation parameter. Averages are presented in the original scale.
Table 4
Percentage of necrotic leaf area (severity) caused by S. macrospora using as inoculum the monosporic isolate Dm58. Before analysis, data were transformed y = y 1.5 according to the Box-Cox transformation parameter. Averages are presented in the original scale.

Lesion expansion rate of S. macrospora

Lesion expansion rate of S. macrospora (b3) differed significantly only between “DKB240” and “P1630H” (Table 5). Under ideal controlled conditions for fungal development, rates ranged from 0.1190 mm2 day-1 for the genotype “SCS155 Catarina” to 0.2562 mm2 day-1 for the susceptible hybrid “P1630H”.

Table 5
Logistic model parameter estimates for MLS lesion expansion rate as a function of post-inoculation time. b1 = maximum severity (lesion area) of the disease, b2 = initial inoculum, and b3 = lesion expansion rate. The p-value for the difference between the observed estimates of the genotypes concerning the hybrid DKB240.

Concerning maximum disease severity (b1) after inoculation, the hybrids “P1630H” and “30K75Y” did not differ from “DKB240”, which was used as a comparison standard because it has the largest sowing area in southern Brazil among all genotypes used. Only the variety “SCS155 Catarina” differed significantly from the standard hybrid for parameter b1. Based on the estimate of the initial inoculum of the disease (b2), the genotypes “30K75Y” and “SCS155 Catarina” differed significantly from the standard hybrid “DKB240”.

The hybrid “30K75Y” had an initial inoculum about 42% higher than the standard hybrid (DKB240), while the variety “SCS 155 Catarina” showed an initial inoculum about 25% lower than the standard hybrid.

Discussion

In the present study, several genotypes were evaluated to identify cultivars with different levels of resistance/tolerance to MLS. None of the tested cultivars presented a complete resistance to the disease. However, many of them showed promising results to be used in further studies and in maize breeding programs to reduce MLS damaging effects in fields.

To reduce MLS-related problems in maize crops through genetic resistance, information about sources and types of resistance should be gathered. Thus, studies of this type must continue to identify genotypes with different levels of resistance/tolerance. In short, pathogen variability and cultivar genetic resistance/tolerance should be monitored to improve cultivar rotation practices.

Leaf wetness duration

The longest leaf wetness duration required for the variety “SCS155 Catarina” may be associated with its greater tolerance to MLS. As for the fungal isolate DM54 (Table 3), although the open-pollinated cultivar “SCS155 Catarina” showed a susceptible level of resistance, it was higher than the cultivars “P32R48” and “DKB240”. Similar results were reported in studies performed by Bermudéz-Cardona et al. (2015Bermudéz-Cardona, M., Wordell Filho, J. A., & Rodrigues, F. A. (2015). Leaf gas exchange and chorophyll a fluorescence in maize leaves infected with Stenocarpella macrospora. Phytopathology , 105(1), 26-34. DOI: https://doi.org/10.1094/PHYTO-04-14-0096-R
https://doi.org/https://doi.org/10.1094/...
) and Hawerroth et al. (2019Hawerroth, C., Araujo, L., Bermúdez-Cardona, M., Silveira, P. R., Wordell Filho, J. A., & Rodrigues, F. A. (2019). Silicon-mediated maize resistance to macrospora leaf spot. Tropical Plant Pathology, 44, 192-196. DOI: https://doi.org/10.1007/s40858-018-0247-8
https://doi.org/https://doi.org/10.1007/...
).

For the tested hybrids, a maximum severity was reached after 23.2 hours of leaf wetness. Therefore, it is an important parameter to differentiate maize genotypes regarding resistance to MLS. By testing the genotypes “SCS155 Catarina” and “P32R48”, Bermudéz-Cardona et al. (2015Bermudéz-Cardona, M., Wordell Filho, J. A., & Rodrigues, F. A. (2015). Leaf gas exchange and chorophyll a fluorescence in maize leaves infected with Stenocarpella macrospora. Phytopathology , 105(1), 26-34. DOI: https://doi.org/10.1094/PHYTO-04-14-0096-R
https://doi.org/https://doi.org/10.1094/...
) observed that the former (variety) differed significantly from the latter (hybrid) concerning MLS severity on maize leaves. These authors also found a significant MLS effect on the photosynthetic parameters of the cultivars, with “SCS155 Catarina” showing a disease tolerance 36% higher than “P32R48” after 168 hours post-infection. In brief, leaf wetness duration is a major parameter for maize breeding programs focused on selecting MLS-resistant materials.

Resistance of genotypes

The different behaviors observed among the maize genotypes tested can be associated with their susceptibility to different fungus isolates, polymorphism, and different pathogenicity of S. macrospora. It was demonstrated by Piletti et al. (2014Piletti, G. J., Casa, R. T., Bampi, D., Piletti, L. M. M. S., Stoltz, J. C., Sangoi, L., & Michelutti, D. (2014). Reação de híbridos de milho à mancha-de-macrospora. Summa Phytopathologica, 40(1), 24-28. DOI: https://doi.org/10.1590/S0100-54052014000100003
https://doi.org/https://doi.org/10.1590/...
) when analyzing 25 maize hybrids inoculated with four different S. macrospora isolates. According to Young et al. (1959Young, H. C. J., Wilcoxson, R. D., Whitehead, M. D., Devay, J. E., Grogan, C. O., & Zuber, M. S. (1959). An ecological study of the pathogenicity of Diplodia maydis isolates inciting stalk rot on corn. Plant Diseases Report, 43, 1124-1129.), isolates can modify their pathogenicity and become more aggressive as a function of their place of origin. There are no reports in the literature about the presence of S. macrospora strains; however, it is known the existence of variations in the pathogenicity and aggressiveness between different isolates of the pathogen (Piletti et al., 2014).

During the last harvest seasons, the hybrids “P30F53” and “DKB240” occupied a large maize cultivation area in southern Brazil, raising the risk of an epidemic outbreak of MLS, as both cultivars have a similar behavior towards the disease. Casa et al. (2011Casa, R. T., Bampi, D., Junior, P. R. K., Sangoi, L., Blum, M. M., & Wordell Filho, J. A. (2011). Mancha-de-macrospora do milho no sul do Brasil. Revista Plantio Direto, 125(1), 13-17.) studied MLS incidence in southern Brazil and reported an increase in leaf ears of about 10 times that of white rot and burnt grains in ears, hence decreasing grain quality. On the other hand, Mendes et al. (2018Mendes, M. C., Stadler, A. J., Faria, M. V., Szeuczuk, K., Rossi, E. S., Conte, M. V. D., … Fonoketi, J. V. (2018). Qualidade dos grãos e controle de mancha foliar de diplodia em híbridos comerciais de milho. Scientia Agraria, 19(2), 224-231.) observed that the presence of burnt maize grains is more related to harvest time, weather conditions, fungicide application, and planted hybrid than to MLS incidence in leaf ears. Nevertheless, it is of great importance, mainly to the food and feed industries, to identify whether MLS is a strong driver for the incidence of burned grains in maize, mainly to help improve the final quality of harvested grains and recommend genotypes with higher resistance to MLS.

Despite the unavailability of commercial hybrids with complete resistance to Stenocarpella spp. (Hawerroth et al., 2019Hawerroth, C., Araujo, L., Bermúdez-Cardona, M., Silveira, P. R., Wordell Filho, J. A., & Rodrigues, F. A. (2019). Silicon-mediated maize resistance to macrospora leaf spot. Tropical Plant Pathology, 44, 192-196. DOI: https://doi.org/10.1007/s40858-018-0247-8
https://doi.org/https://doi.org/10.1007/...
), the genetic variability for resistance/tolerance to this fungus among different cultivars suggests the potential for the development of resistant hybrids through specific breeding programs.

Lesion expansion rate of S. macrospora

The differences observed in lesion expansion rates can be used to quantify the resistance of maize hybrids and varieties. For Bove, Bavaresco, Caffi, and Rossi (2019Bove, F., Bavaresco, L., Caffi, T., & Rossi, V. (2019). Assessment of resistance components for improved phenotyping of grapevine varieties resistant to downy mildew. Frontiers in Plant Science, 10(1559), 1-10. DOI: https://doi.org/10.3389/fpls.2019.01559
https://doi.org/https://doi.org/10.3389/...
), lesion size, spore infection efficiency, and infectious duration are among the most important components of resistance.

Regarding the distinction between susceptible and resistant genotypes, Berger, Bergamim Filho, and Amorin (1997Berger, R. D., Bergamim Filho, A., & Amorin, L. (1997). Lesion expansion as an epidemic component. Phytopathology, 87(10), 1005-1013. DOI: https://doi.org/10.1094/PHYTO.1997.87.10.1005
https://doi.org/https://doi.org/10.1094/...
) related more than 40 pathosystems for which lesion expansion rate has already been measured and highlighted the difference of this character between susceptible and resistant genotypes.

Interestingly, the hybrid “DKB240”, which is highly cultivated under southern Brazil climatic conditions, besides being highly susceptible to MLS (Tables 3 and 4) and requiring short leaf wetness durations to reach 99% maximum severity (Table 2), showed a lesion expansion rate much lower than the hybrid “P1630H”, which is also highly susceptible to the disease, but with 10% less susceptibility than the hybrid DKB240 (Table 3).

Conclusion

In this study, several genotypes were evaluated to identify their levels of resistance/tolerance to macrospora leaf spot (MLS). However, none of them had a complete resistance to the disease. Still, many cultivars showed to be promising for further studies and maize breeding programs aimed at minimizing MLS damaging effects. For instance, 4.25% of the tested genotypes showed intermediate behavior and 1.41% high/intermediate against the fungus isolates DM54 and DM58. Moreover, the hybrids “P30R50” and “P30F36” showed the same level of tolerance to MLS against both fungus isolates. Minimum leaf wetness durations of 22.4 hours are required to trigger MLS infection and development on maize ears. To reduce MLS-related problems in maize crops through genetic resistance, information about sources and types of resistance should be gathered. Thus, studies of this type must continue to identify genotypes with different levels of resistance/tolerance. Lastly, pathogen variability and cultivar genetic resistance/tolerance should be monitored to improve cultivar rotation practices.

References

  • Anderson, N. R., Bradley, C. A., & Wise, K. A. (2021). Diplodia Leaf Streak of corn: A diagnostic guide. Plant Health Progress, 22(2), 159-163. DOI: https://doi.org/10.1094/PHP-01-21-0002-DG
    » https://doi.org/https://doi.org/10.1094/PHP-01-21-0002-DG
  • Berger, R. D., Bergamim Filho, A., & Amorin, L. (1997). Lesion expansion as an epidemic component. Phytopathology, 87(10), 1005-1013. DOI: https://doi.org/10.1094/PHYTO.1997.87.10.1005
    » https://doi.org/https://doi.org/10.1094/PHYTO.1997.87.10.1005
  • Bermudéz-Cardona, M., Wordell Filho, J. A., & Rodrigues, F. A. (2015). Leaf gas exchange and chorophyll a fluorescence in maize leaves infected with Stenocarpella macrospora Phytopathology , 105(1), 26-34. DOI: https://doi.org/10.1094/PHYTO-04-14-0096-R
    » https://doi.org/https://doi.org/10.1094/PHYTO-04-14-0096-R
  • Bove, F., Bavaresco, L., Caffi, T., & Rossi, V. (2019). Assessment of resistance components for improved phenotyping of grapevine varieties resistant to downy mildew. Frontiers in Plant Science, 10(1559), 1-10. DOI: https://doi.org/10.3389/fpls.2019.01559
    » https://doi.org/https://doi.org/10.3389/fpls.2019.01559
  • Casa, R. T., Bampi, D., Junior, P. R. K., Sangoi, L., Blum, M. M., & Wordell Filho, J. A. (2011). Mancha-de-macrospora do milho no sul do Brasil. Revista Plantio Direto, 125(1), 13-17.
  • Companhia Nacional de Abastecimento [CONAB]. (2022). Acompanhamento da Safra Brasileira - Safra 2021/22 - 7° Levantamento Brasília, DF: CONAB.
  • Ferreira, E. B., Cavalcanti, P. P., & Nogueira, D. A. (2013). ExpDes.pt: Experimental Designs Package (R package version 1.1.2). Retrieved on Mar. 10, 2022 from 10, 2022 from https://cran.r-project.org/web/packages/ExpDes.pt/ExpDes.pt.pdf
    » https://cran.r-project.org/web/packages/ExpDes.pt/ExpDes.pt.pdf
  • Hawerroth, C., Araujo, L., Bermúdez-Cardona, M., Silveira, P. R., Wordell Filho, J. A., & Rodrigues, F. A. (2019). Silicon-mediated maize resistance to macrospora leaf spot. Tropical Plant Pathology, 44, 192-196. DOI: https://doi.org/10.1007/s40858-018-0247-8
    » https://doi.org/https://doi.org/10.1007/s40858-018-0247-8
  • James, W. C. (1974). Assessment of plant diseases and losses. Annual Review ofPhytopathology , 12, 27-48. DOI: https://doi.org/10.1146/annurev.py.12.090174.000331
    » https://doi.org/https://doi.org/10.1146/annurev.py.12.090174.000331
  • Lorenzetti, E., Tartaro, J., Neto, A. J. A., Heling, A. L., Carvalho, J. C., Stangarlin, J. R., ... Portz, R. L. (2019). Development and validation of a diagrammatic scale for quantifying maize leaf spots caused by Diplodia macrospora Semina, 40(6), 2475-2486. DOI: https://doi.org/10.5433/1679-0359.2019v40n6p2475
    » https://doi.org/https://doi.org/10.5433/1679-0359.2019v40n6p2475
  • Mário, J. L., Gozuen, C. F., & Juliatti, F. C. (2017). Stenocarpella macrospora and Stenocarpella maydis in the cerrado and southern Brazil regions. Bioscience Journal, 33(1), 76-87. DOI: https://doi.org/10.14393/Bj-v33n1a2017-36068
    » https://doi.org/https://doi.org/10.14393/Bj-v33n1a2017-36068
  • Mendes, M. C., Stadler, A. J., Faria, M. V., Szeuczuk, K., Rossi, E. S., Conte, M. V. D., … Fonoketi, J. V. (2018). Qualidade dos grãos e controle de mancha foliar de diplodia em híbridos comerciais de milho. Scientia Agraria, 19(2), 224-231.
  • Ministério da Agricultura, Pecuária e Abastecimento [MAPA]. (2022). Agrofit: Sistema de Agrotóxicos Fitossanitários Retrieved on Mar. 10, 2022 from 10, 2022 from http://agrofit.agricultura.gov.br/agrofit_cons/principal_a grofit_cons
    » http://agrofit.agricultura.gov.br/agrofit_cons/principal_a grofit_cons
  • Mitchell, N. J., Bowers, E., Hurburgh, C., & Wu, F. (2016). Potential economic losses to the US corn industry from aflatoxin contamination. Food Additives and Contaminants Part A, 33(3), 540-550. DOI: https://doi.org/10.1080/19440049.2016.1138545
    » https://doi.org/https://doi.org/10.1080/19440049.2016.1138545
  • Mueller, D. S., Wise, K. A., Sisson, A. J., Allen, T. W., Bergstrom, G. C., Bissonnette, K. M., … Wiebold, W. J. (2020). Corn yield loss estimates due to disease in the United States and Ontario, Canada, from 2016 to 2019. Plant Health Progress , 21(4), 238-247. DOI: https://doi.org/10.1094/PHP-05-20-0038-RS
    » https://doi.org/https://doi.org/10.1094/PHP-05-20-0038-RS
  • Munkvold, G., Munkvold, G. P., & White, D. G. (2016). Compendium of corn diseases (4th ed.). St. Paul, MI: The American Phytopathological Society.
  • Nleya, T., Chungu, C., & Kleinjan, J. (2016). Corn growth and development. In D. E. Clay, D. G. Carlsom, S. A. Clay, & E. Byamukama (Eds.), iGrow Corn: Best Management Practices (Chapter 5). Brookings, SD: South Dakota State University.
  • Olatinwo, R. O., Cardwell, K. F., Deadman, M. L., & Julian, A. M. (1999). Epidemiology of Stenocarpella macrospora (Earle) Sutton on maize in the mid-altitude zone of Nigeria. Journal ofPhytopathology , 147(6), 347-352. DOI: https://doi.org/10.1046/j.1439-0434.1999.00393.x
    » https://doi.org/https://doi.org/10.1046/j.1439-0434.1999.00393.x
  • Piletti, G. J., Casa, R. T., Bampi, D., Piletti, L. M. M. S., Stoltz, J. C., Sangoi, L., & Michelutti, D. (2014). Reação de híbridos de milho à mancha-de-macrospora. Summa Phytopathologica, 40(1), 24-28. DOI: https://doi.org/10.1590/S0100-54052014000100003
    » https://doi.org/https://doi.org/10.1590/S0100-54052014000100003
  • Pinheiro, J., Bates, D., Debroy, S., Sarkar, D., & R Core Team. (2017). nlme: Linear and Nonlinear Mixed Effects Models (R package version 3.1-131). Retrieved on Mar. 10, 2022 from 10, 2022 from https://CRAN.R-project.org/package=nlme
    » https://CRAN.R-project.org/package=nlme
  • R Core Team. (2022). R: A language and environment for statistical computing Vienna, AT: R Foundation for Statistical Computing. Retrieved on Mar. 10, 2022 from 10, 2022 from https://www.R-project.org
    » https://www.R-project.org
  • Shah, T. R., Prasad, K., & Kumar, P. (2016). Maize - A potential source of human nutrition and health: A review. Cogent Food & Agriculture, 2(1), 1-9. DOI: https://doi.org/10.1080/23311932.2016.1166995
    » https://doi.org/https://doi.org/10.1080/23311932.2016.1166995
  • Silva, T. S., Fonseca, L. F., Yamada, J. K., & Pontes, N. C. (2020). Flutriafol and azoxystrobin: An efficient combination to control fungal leaf diseases in corn crops. Crop Protection, 140, 105394. DOI: https://doi.org/10.1016/j.cropro.2020.105394
    » https://doi.org/https://doi.org/10.1016/j.cropro.2020.105394
  • Siqueira, C. S., Machado, J. C., Barrocas, E. N., & Almeida, M. F. (2014). Potential for transmission of Sternocarpella macrospora from inoculated seeds to maize plants grown under controlled conditions. Journal of Seed Science, 36(2), 154-161. DOI: https://doi.org/10.1590/2317-1545v32n2904
    » https://doi.org/https://doi.org/10.1590/2317-1545v32n2904
  • Tuite, J. (1969). Plant pathological methods. Fungi and bacteria Minneapolis, MI: Burgess Publish Co.
  • Wordell Filho, J. A., Casa, R. T., & Nesi, C. N. (2016). Manejo de doenças na cultura do milho. In J. A. Wordell Filho , L. A. Chiaradia (Org.), A cultura do milho em Santa Catarina (p. 161-222). Florianópolis, SC: Epagri.
  • Young, H. C. J., Wilcoxson, R. D., Whitehead, M. D., Devay, J. E., Grogan, C. O., & Zuber, M. S. (1959). An ecological study of the pathogenicity of Diplodia maydis isolates inciting stalk rot on corn. Plant Diseases Report, 43, 1124-1129.
  • Zeviani, W. M., Silva, C., Carneiro, W. J. O., & Muniz, J. A. (2013). Modelos não lineares para a liberação de potássio de estercos animais em latossolos. Ciência Rural, 42(10), 1789-1796. DOI: https://doi.org/10.1590/S103-84872012001000012
    » https://doi.org/https://doi.org/10.1590/S103-84872012001000012
  • Zhang, R., Ma, S., Li, L., Zhang, M., Tian, S., Wang, D., … Wang, X. (2021). Comprehensive utilization of corn starch processing by-products: A review. Grain & Oil Science Technology, 4(3), 89-107. DOI: https://doi.org/10.1016/j.gaost.2021.08.003
    » https://doi.org/https://doi.org/10.1016/j.gaost.2021.08.003

Publication Dates

  • Publication in this collection
    22 Apr 2024
  • Date of issue
    2024

History

  • Received
    26 Apr 2022
  • Accepted
    25 Oct 2022
Editora da Universidade Estadual de Maringá - EDUEM Av. Colombo, 5790, bloco 40, 87020-900 - Maringá PR/ Brasil, Tel.: (55 44) 3011-4253, Fax: (55 44) 3011-1392 - Maringá - PR - Brazil
E-mail: actaagron@uem.br