ORIGINAL RESEARCH article

Front. Genet., 17 March 2023

Sec. Genomics of Plants and Plant-Associated Organisms

Volume 14 - 2023 | https://doi.org/10.3389/fgene.2023.1125940

Characterization of Brazilian spring wheat germplasm and its potential for increasing wheat genetic diversity in Canada

  • 1. Centre de recherche sur les grains (CÉROM), Saint-Mathieu-de-Beloeil, QC, Canada

  • 2. Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada

  • 3. Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB, Canada

  • 4. Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, Canada

  • 5. Brandon Research and Development Centre, Agriculture and Agri-Food Canada, Brandon, MB, Canada

  • 6. Charlottetown Research and Development Center, Agriculture and Agri-Food Canada, Charlottetown, PEI, Canada

  • 7. Empresa Brasileira de Pesquisa Agropecuaria (EMBRAPA) Trigo, Passo Fundo, Brazil

  • 8. OR Melhoramento de Sementes, Passo Fundo, Brazil

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Abstract

In the present era of climate instability, Canadian wheat production has been frequently affected by abiotic stresses and by dynamic populations of pathogens and pests that are more virulent and aggressive over time. Genetic diversity is fundamental to guarantee sustainable and improved wheat production. In the past, the genetics of Brazilian cultivars, such as Frontana, have been studied by Canadian researchers and consequently, Brazilian germplasm has been used to breed Canadian wheat cultivars. The objective of this study was to characterize a collection of Brazilian germplasm under Canadian growing conditions, including the reaction of the Brazilian germplasm to Canadian isolates/pathogens and to predict the presence of certain genes in an effort to increase genetic diversity, improve genetic gain and resilience of Canadian wheat. Over 100 Brazilian hard red spring wheat cultivars released from 1986 to 2016 were evaluated for their agronomic performance in eastern Canada. Some cultivars showed good adaptability, with several cultivars being superior or statistically equal to the highest yielding Canadian checks. Several Brazilian cultivars had excellent resistance to leaf rust, even though only a few of these tested positive for the presence of either Lr34 or Lr16, two of the most common resistance genes in Canadian wheat. Resistance for stem rust, stripe rust and powdery mildew was variable among the Brazilian cultivars. However, many Brazilian cultivars had high levels of resistance to Canadian and African - Ug99 strains of stem rust. Many Brazilian cultivars had good Fusarium head blight (FHB) resistance, which appears to be derived from Frontana. In contrast FHB resistance in Canadian wheat is largely based on the Chinese variety, Sumai-3. The Brazilian germplasm is a valuable source of semi-dwarf (Rht) genes, and 75% of the Brazilian collection possessed Rht-B1b. Many cultivars in the Brazilian collection were found to be genetically distinct from Canadian wheat, making them a valuable resource to increase the disease resistance and genetic variability in Canada and elsewhere.

1 Introduction

Wheat is one of the primary crops in Canada with approximately 10 Mha seeded annually and a total annual production ranging from approximately 22 Mt to over 37 Mt between 2010 and 2022 (Statistics Canada). Approximately 75% of Canadian wheat production is exported and it is valued worldwide for its excellent quality, and versatility in end-use applications. Canadian wheat cultivars are grouped into marketing classes based on their functional characteristics, growth habit (spring or winter) and geographical origin (eastern or western Canada). The main classes of wheat grown in Canada are Canada Western Red Spring (60% of total wheat grown), Canada Western Amber Durum, Canada Prairie Spring Red and Canada Eastern Soft Red Winter (Cereals Canada, 2023).

Wheat in Brazil is a secondary crop. Approximately 2 Mha of wheat are seeded annually with production reaching 6.3Mt in 2020 (FAOSTAT). However, the Brazilian wheat crop is important for food security with nearly all of the production consumed domestically. Wheat production in Brazil increased 3.7 times from 2000 to 2022, although the cultivated area only increased two-fold (FAOSTAT). Brazil produces only hard red spring wheat, which is classified based on flour characteristics. Fusarium head blight (FHB) and pre-harvest sprouting are important limitations to the cultivation of durum and white soft wheats. The wheat is grown mostly in southern Brazil in the autumn-winter months and harvested in the early summer. Climatic conditions during the growing season are very favourable to the development of fungal diseases. The pathogens survive during the summer on alternative hosts, and the green-bridge leads to high disease pressure. Consequently, superior disease resistance is critical for wheat cultivation in Brazil and good resistance to various diseases has been developed through years of breeding.

Targets for improving wheat in both countries include grain yield, disease resistance, adaptation to climate change and abiotic stresses, and end-use quality. Some of the disease problems are common to both countries, which include FHB and leaf rust.

Collaboration between Brazilian and Canadian breeders and pathologists has existed for decades. Wheat varieties from Brazil, such as Frontana, have been used to breed Canadian wheat cultivars in the past. The genetic studies to characterize the leaf rust resistance of Frontana, carried out in Canada (Dyck et al., 1966; Dyck, 1987; McCallum et al., 2016), identified the resistance genes: Lr13 and Lr34. The identification of new resistance genes provides an opportunity to improve Canadian wheat disease resistance and resilience through genetics derived from Brazilian germplasm. Similarly, Brazilian breeding programs could use Canadian germplasm to improve end-use quality, for example,.

The project started as there was a need for Brazilian breeding programs to characterize their current germplasm for stem rust resistance. The disease had been absent in Brazil for decades, so the resistance of modern cultivars was unknown. While it was known that the stem rust resistance of older cultivars was derived from Sr31 and Sr24 (Barcellos, pers. comm.), the genetics of more recently released cultivars had not been determined. With the threat of the African stem rust race Ug99 and its variants (Fetch et al., 2021), which rendered Sr31 and Sr24 ineffective, it was important to characterize the Brazilian germplasm for stem rust resistance to prevent future losses. Due to the valuable genetic diversity of Brazilian germplasm, a thorough characterization of the collection, in which older cultivars were also included, was undertaken. The ultimate objective was to evaluate the agronomic performance and disease resistance of a comprehensive collection of Brazilian wheat cultivars under Canadian growing conditions and pathogen populations. The analysis used representative Canadian check cultivars for grain yield and other agronomic characteristics along with resistance to FHB, leaf rust, stem rust, stripe rust, and powdery mildew. A secondary objective was to predict the presence or absence of some critical wheat genes in this germplasm collection using molecular markers diagnostic for the presence of these genes.

2 Materials and methods

2.1 Germplasm and agronomic performance

The Brazilian wheat germplasm evaluated in this study was composed of 111 cultivars organized in two collections (Supplementary Table S1). Collection “A” was composed of cultivars registered in Brazil from 1986 to 2012, while the registration of the collection “B” cultivars dated from 1999 to 2016. Sixteen cultivars were present in both collections. The cultivars were derived from multiple breeding programs in Brazil. Some cultivars were removed during the study because of lack of seed. The Canadian checks were chosen based on disease reaction as controls in nurseries; thus, they do not represent the predominant cultivars in Canada.

Two agronomic trials were conducted in Ottawa (Ontario) and Saint-Mathieu-de-Beloeil (Quebec) in 2017 and 2018 using a randomized complete block design with two replications (4.77 m2 plots) without fungicide treatments. The agronomic characteristic evaluated were grain yield (kg/ha), thousand kernel weight (TKW, g), test weight (TW, kg/hL), days to heading (Julian date), days to maturity (Julian date), plant height (cm), and lodging (1–9). Percent grain protein content was measured using GrainSpec NIR machine (FossElectric, United Kingdom).

2.2 Leaf rust

Artificially inoculated and irrigated nurseries were used to determine the field leaf rust reaction of the collections. Test entries were seeded in 1 m rows, with three replications each year. Puccinia triticina (Eriks.) urediniospores were used to inoculate susceptible spreader rows, regularly spaced between test rows. The inoculum was generated from a representative mixture of the virulence phenotypes found in Canada during the annual national virulence survey in the previous year (McCallum et al., 2021). After purification, characterization and multiplication of Puccinia triticina isolates, urediniospores were suspended in light mineral oil (Soltrol, Chevron Phillips Chemical Co.) and sprayed on the leaves of the spreader rows at early tillering. Subsequently, leaf rust developed on the spreader rows and urediniospores were windblown onto the test materials. Leaf rust severity (proportion of the flag leaf infected with leaf rust, %) was rated near maturity at the point of maximum infection using the modified Cobb scale (Peterson et al., 1948). The entire collection was tested for leaf rust resistance in nurseries at Morden in 2017 and 2018, collection ‘B’ was also evaluated at Morden in 2016.

To determine seedling resistance, each cultivar (five to six plants) was grown indoors to the two leaf stage and inoculated with urediniospores of single purified P. triticina isolates, as described by McCallum et al. (2021). The isolates used were 96-12-3 MBDS, 128-1 MBRJ, 74-2 MGBJ, 11-180-1 TDBG, 06-1-1 TDBG, and 77-2 TJBJ. Plants were rated to determine the infection type 12–14 days post-inoculation as described in McCallum et al. (2021).

2.3 Stem rust

The reaction of the Brazilian cultivars to Puccinia graminis Pers. f. sp. Tritici Eriks. and E. Henn. (Pgt) was tested both in the field and greenhouse. In the greenhouse, the collection was tested for reaction to Canadian races QCC, TPM, RHT, TMR, RKQ, QTH, MCC, QFC, and the African Ug99 race TTKSK, as described by Fetch et al. (2021). At 14 days post-inoculation, seedlings were scored for infection type (IT) using a 0–4 scale (Stakman and Levine, 1922), where ITs from 0 to 2 were deemed resistant and 3-4 were considered susceptible. All tests with Ug99 TTKSK were conducted in a Plant Pest Containment Level 3 (PPC3).

For the Morden field trials, entries were planted in 1 m rows with ranges of six rows flanked by susceptible spreader rows. The spreader rows were inoculated with a mixture of Pgt races (TPMKC, TMRTF, RKQSC, RHTSF, QTHJF, RTHJC and MCCFC with AAFC-MRDC isolate numbers 1373, 1,311, 1,312, 1,562, 1,347, 1,561, and 1,541 respectively; from the AAFC—Morden Research and Development Centre (MRDC) Pgt collection of isolates found in Canadian fields) at the jointing stage by spraying urediniospores suspended in a light mineral oil (Soltrol®170 Isoparaffin) on a day preceding anticipated overnight dew. Spores from heavily infected spreader rows caused infection of the experimental plots. The populations were rated for stem rust severity and infection response once the susceptible checks showed heavy disease (severities near 80%) which was approximately at anthesis. The modified Cobb scale was used to assess disease severity (Peterson et al., 1948), while infection response: resistant (R), moderately resistant (MR), moderately susceptible (MS), susceptible (S) was assessed using the scale of Roelfs et al. (1992).

2.4 Stripe rust

Stripe rust resistance was evaluated in field trials in Lethbridge, AB (2015—collection “A” and 2017) and Creston, BC (2017). A randomized complete block design with two replicates was used in Lethbridge in 2017, while there was no replication at the other sites. Spreaders for stripe rust were composed of a mixture of susceptible cultivars Morocco, SWS18 and AC Barrie. All trials relied on natural infection from the prevalent Puccinia striiformis f. sp. tritici (Pst) populations. Plants were scored for stripe rust infection at wheat anthesis, when the susceptible check lines showed over 50% rust infection. Stripe rust severity was recorded on a 0%–100% severity infection scale.

2.5 Powdery mildew

Under natural disease pressure, powdery mildew resistance was evaluated in Charlottetown (PEI) in 2017 and 2018. The trials were conducted using a randomized complete block design with two replicates. The entries were planted in a single 1 m-long rows. A 0 (none) to 9 (completely covered) scale was used to score the disease severity.

2.6 Fusarium head blight

The Brazilian collection was screened in inoculated FHB nurseries at Morden (MB) in 2017 and 2018 and Ottawa (ON) in 2021 using a randomized complete block design with three replicates. Plots consisted of a single 1 m row.

In Morden, Fusarium graminearum (Fg) corn kernel inoculum was prepared using four Fg isolates from the Henriquez Spring Wheat (HSW) collection: HSW-15–39 [3-acetyldeoxynivalenol (ADON) chemotype], HSW-15-87 (3-ADON), HSW-15–27 (15-ADON) and HSW-15–57 (15-ADON). Kernel inoculum was dispersed at a rate of 8 g per row on biweekly intervals, starting at Zadoks stage 31. The application of the inoculum was followed by irrigation three times a week using Cadman Irrigations Travellers with Briggs booms. Visual observations were taken at 18–21 days post inoculation for infected heads (disease incidence; DI) and spikelets (disease severity; DS) using a 0 to 10 scale, which were used to calculate FHB visual rating index (VRI: DI × DS) (Gilbert and Morgan, 2000). Wheat plots were manually harvested and threshed using a stationary combine, then seed was manually cleaned to prevent the loss of Fusarium-damaged kernels.

In Ottawa, a Fg inoculum was prepared with 1:1 corn and barley kernels inoculated with three Fg isolates: DAOMC178148 (15-ADON), DAOMC212678 (15-ADON), and DAOMC232369 (3-ADON) sourced from the Canadian Collection of Fungal Cultures at the Ottawa Research and Development Centre (ORDC). Isolates were chosen from those collected locally with high deoxynivalenol (DON) producing capacity. Inoculum was prepared as described in Xue et al. (2006). Inoculation with 12 g per line of fresh inoculum was performed twice, first application occurring when the earliest lines started stem elongation, before flag leaf emergence (Zadoks stage 31–36), and again 2 weeks later. Plots were irrigated daily applying approximately 1.5 cm of rain equivalent with wedge drive impact sprinklers. Flowering date (50% flowering) were recorded for each plot, and visual observations were made 21 days after flowering for each plot. Rating scales, harvest, and sample threshing were performed as in Morden (see description above).

For DON analysis, to make a whole-grain flour, one 25 g aliquot from the two replications of each cultivar was ground with a Perten Laboratory mill 3,310 to pass through a 0.4-mm screen. A single 1 g ground sub-sample was taken and extracted with 5 mL of methanol:water (1:9, vol:vol) in 10-mL plastic tubes, which were then subjected to end-over-end mixing for 1 hour, centrifuged for 5 min at 2000 rpm. DON analysis was conducted on the filtrate using the in-house enzyme-linked immunosorbent assay (ELISA) as described by Sinha et al. (1995). The accuracy of the ELISA procedures has been reported to be comparable to that of the gas chromatography method (Sinha and Savard, 1996). The limit of quantitation was 0.1 mg kg−1.

2.7 Genotyping

Genomic DNA bulks (10 plants/cultivar) were extracted from greenhouse-grown young leaf tissue with the Macherey-Nagel NucleoSpin 96 Plant II kit (Macherey-Nagel GmbH and Co. KG, Düren, Germany). dsDNA concentrations were determined using the fluorescence-based Quant-IT dsDNA Broad Range Assay kit (ThermoFisher Scientific, cat #Q33130) on the BMG FLUOstar Omega microplate reader with Omega MARS data analysis software (BMG Labtech GmbH, Ortenburg, Germany). The DNA bulks were diluted with sterile, distilled water to working concentrations of 10 ng/μL.

KASP markers were from the University of Bristol wheat MAS set (http://www.cerealsdb.uk.net/cerealgenomics/CerealsDB/kasp_download.php?URL/MAS_data_May_2013.xls) and the references listed in Table 1. All primers were commercially prepared (Invitrogen) from sequences obtained from the literature.

TABLE 1

TraitLocus/GeneMarkerMarker typeReference
Combined resistanceLr16/Sr23kwm847KASPKassa et al. (2017)
Lr34/Yr18/Pm38/Sr57/Ltn1cssfr5agarose gel-basedLagudah et al. (2009)
wMAS000003KASPhttp://maswheat.ucdavis.edu/, http://www.cerealsdb.uk.net/
Lr37/Yr17/Sr382AS_VPM_CAPSSTSHelguera et al. (2003)
Lr67/Yr46/Sr55/Pm46/Ltn3csSNP856KASPForrest et al. (2014)
Sr2/Yr30wMAS000005KASPhttp://maswheat.ucdavis.edu/, http://www.cerealsdb.uk.net/
csSr2-CAPSCAPS, agarose gel-basedMago et al. (2011b)
SrCad/Sr42/Bt10kwm907KASPKassa et al. (2016)
Wheat–rye translocation1RS:1BL- Lr26, Sr31, Yr9, Pm8wMAS0000011KASPhttp://maswheat.ucdavis.edu/, http://www.cerealsdb.uk.net/
Fusarium head blightFhb1 (3BS) (Sumai-3)TaHRC-KASPKASPSu et al. (2018)
UMN10STSLiu et al. (2008)
gwm493SSRMcCartney et al. (2004),Bernardo et al. (2011)
gwm533SSR
wMAS000008KASPhttp://maswheat.ucdavis.edu/, http://www.cerealsdb.uk.net/
wMAS000009KASP
Fhb2 (6BS) (Sumai-3)GBS0158_6BSKASPCai et al. (2016)
wmc397SSRMcCartney et al. (2004),Cuthbert et al. (2007)
wmc398SSR
gwm508SSR
gwm133SSR
gwm644SSR
Qfhs.ifa-5AS (Sumai-3)IWA7777KASPPandurangan et al. (2021)
Qfhi.nau-5AS (Wangshuibai, Sumai 3, Frontana)gwm415SSRSteiner et al. (2004), (2019), Xue et al. (2011)
gwm304SSR
gwm293SSR
wmc96SSR
QTL Fusarium 5A (Haiyanzhong)GBS 1852_5AKASPCai et al. (2016)
Qfhs.ifa-5Ac (Sumai-3)wmc705SSRBuerstmayr et al. (2003), McCartney et al. (2004),Steiner et al. (2019), Pandurangan et al. (2021)
barc180SSR
QTL_3AL (Frontana)gwm1110SSRSteiner et al. (2004), Marion Röder, pers. comm.
gwm720SSR
gwm1121SSR
Plant heightRht8gwm261SSREllis et al. (2007)
Rht-B1wMAS000001KASPhttp://maswheat.ucdavis.edu/, http://www.cerealsdb.uk.net/, Ellis et al. (2002)
Rht-D1wMAS000002KASPhttp://maswheat.ucdavis.edu/, http://www.cerealsdb.uk.net/, Ellis et al. (2002)

Molecular markers analysed in the Brazilian material to predict the presence of specific loci/genes (Röder et al., 1998; Dreisigacker et al., 2016).

KASP reactions were assembled in either 96 (Bio-Rad, cat # HSP9655) or 384 well (4Titude, cat # 4ti-0387) PCR plates, following LGC Biosearch Technologies’ recommended protocol (https://biosearch-cdn.azureedge.net/assetsv6/KASP-genotyping-chemistry-User-guide.pdf). KASP assay mix was prepared according to Smith and Maughan (Smith and Maughan, 2015). For the 96 well format, each PCR reaction contained 5 µL genomic DNA (10 ng/μL), 5 µL KASP 2x MasterMix (standard ROX, BioSearch Laboratories cat # KBS-1050-102) and 0.14 µL KASP assay mix containing two allele specific primers and one common primer (Invitrogen). For the 384 well format, each well contained 2.5 µL genomic DNA (10 ng/μL), 2.5 µL KASP MasterMix and 0.07 µL KASP assay mix. PCR amplifications were carried out in either a Bio-Rad C1000 Touch (Bio-Rad Laboratories (Canada) Ltd., Mississauga, ON), Eppendorf Master Cycler Gradient (Eppendorf Canada, Mississauga, ON) or Veriti 384 (Applied Biosystems, Foster City, CA, United States) thermal cyclers, following the recommended touchdown thermal cycling conditions. Fluorescence readings were performed in a multimode microplate reader: Spark 10M (Tecan, Männedorf, Switzerland) or FLUOstar Omega (BMG Labtech GmbH, Ortenburg, Germany). Data were imported into KlusterCaller genotyping software (LGC Biosearch Technologies, Hoddeston, Herts, United Kingdom) for analysis.

For SSR and STS markers resolved by capillary electrophoresis, the total PCR reaction volume was 20 µL. For SSR markers, each PCR reaction contained: 50 ng genomic DNA, 180 nM dye-labelled M13 primer (5′- CAC GAC GTT GTA AAA CGA C, labelled at the 5′ end with one of 6-FAM, PET, VIC, or NED), 20 nM M13 sequence-labelled forward primer, 200 nM unlabelled reverse primer, 1X Taq buffer containing (NH4)2SO4 (ThermoScientific, cat #B33), 1.5 mM MgCl2, 200 µM each dNTP and 1U Taq DNA polymerase (DreamTaq, ThermoScientific).

For the STS marker UMN10 (Liu et al., 2008) at Fhb1, the PCR conditions described by Liu and Anderson (2003) were adapted for capillary electrophoresis. Each PCR reaction contained: 50 ng genomic DNA, 50 mM dye-labelled (6-FAM or PET) M13 primer, 50 nM M13-labelled forward primer, 100 nM reverse primer, 1X Taq buffer containing (NH4)2SO4, 1.5 mM MgCl2, 200 µM each dNTP and 1U Taq DNA polymerase.

Marker 2AS_VPM_CAPS, diagnostic for the 2NS segment from Triticum ventricosum (Helguera et al., 2003), was also adapted for capillary electrophoresis. Each PCR reaction contained: 50 ng genomic DNA, 50 nM 6-FAM-labelled M13 primer, 50 nM M13-labelled URIC forward primer, 100 mM unlabelled reverse primer LN2, 1X Taq buffer containing (NH4)2SO4, 1.5 mM MgCl2, 200 µM each dNTP and 1U Taq DNA polymerase. PCR products were not digested with a restriction enzyme.

PCR cycling occurred in one of the above-mentioned thermal cyclers, with the marker-specific conditions detailed in the literature (Table 1). Amplification products were resolved by capillary electrophoresis using the ABI 3130xl or 3,500 Genetic Analyzers, with GeneScan 600 LIZ v. 2.0 (Applied Biosystems, Foster City, CA, United States) as the sizing standard. Alternatively, the PCR products were sent to “Centre d’expertise et de services Génome Québec” to be resolved on an Applied Biosystems 3730XL DNA analyzer. SSR and STS marker data were analyzed using GeneMapper 5 software (Applied Biosystems).

PCR and agarose gel protocols for cssfr5 (Lagudah et al., 2009) and csSr2_CAPS (Mago et al., 2011a) markers were as described in the literature.

2.8 Statistics

Agrobase Generation II (Agronomix Software Inc., Winnipeg, MB) was used to calculate the mean, least significant difference (LSD) and coefficient of variation (CV) of traits from agronomic field trials and Fusarium nurseries. RStudio (RStudio Team, 2015) and ggplot2 package (Wickham, 2016) were the main tools used for statistical calculation and plotting the results. Grain yield by grain protein was plotted using the libraries ggplot2 (Wickham, 2016), dplyr (Revelle, 2022), hrbrthemes (Rudis et al., 2020), viridis (Garnier et al., 2021), ggrepel (Slowikowski et al., 2021) and ggpmisc (Aphalo, 2022). Those libraries were also used to calculate and plot the bubble charts of leaf diseases and traits-related with FHB. Pearson’s correlation coefficients were calculated for traits related with FHB using psych (Revelle, 2022), and plotted using corrplot (Wei and Simko, 2021) packages in R. Boxplots representing severity for each cultivar to leaf rust, stripe rust, stem rust and powdery mildew were computed and plotted with ggplot2 (Wickham, 2016) and stat_summary. Those were also used to calculate and to prepare the boxplot charts of FHB traits classified by collection. Ggarrange function in ggpubr package (Kassambara, 2020) was used to combine ggplot2 charts in a same figure. The percent stacked bar chart was designed with ggplot2 (Wickham, 2016).

3 Results

3.1 Germplasm and agronomic performance

There was a considerable parental diversity in the pedigrees of the collection cultivars which suggests there is high degree of genetic variability present in the material (Supplementary Table S1). Cultivars varied widely with respect to agronomic performance as indicated by the wide range of grain yield, thousand kernel weight, test weight, heading date, maturity, plant height and protein content (Table 2). Some of the Brazilian cultivars performed well in eastern Canada. In Ottawa 2017, the highest yielding cultivar was Celebra from the collection, and 30 other Brazilian cultivars were superior or statistically equal to the highest yielding Canadian check, AAC Scotia. In Beloeil 2018, the Canadian line FL62R1 produced the highest grain yield; however, 10 Brazilian cultivars had statistically similar grain yield (Figure 1). Over both years, the Brazilian collection averaged higher mean thousand kernel weight and mean test weight, later mean maturity, shorter mean plant height compared to the mean of the Canadian checks.

TABLE 2

Yield (kg/ha)Thousand kernel weight (g)Test weight (kg/hL)Heading (days)Maturity (days)Height (cm)Protein (%)
2017201820172018201720182017201820182017201820172018
Trial mean2,2234,47124.634.970.872.5196.154.081.281.669.112.514.0
Max mean - BR cultivars3,3105,50836.546.476.975.574.060.089.5105.082.015.016.5
Max mean - CA checks2,7295,69631.642.773.774.169.058.084.5111.096.014.816.6
Range2,6342,50121.617.116.34.717.513.017.549.041.04.45.0
LSD244.7645.04.62.03.43.01.82.34.510.35.91.11.2
CV4.66.17.92.42.01.70.41.82.45.33.63.83.7

Mean of trial, maximum mean among Brazilian cultivars and among Canadian checks, range, least significant difference (LSD) and coefficient of variation (CV) of agronomical traits in two field trials in east Canada in 2017 (Ottawa, ON) and 2018 (St-Mathieu-de-Beloeil, QC).

FIGURE 1

Grain yield and grain protein content were significantly negatively correlated in the 2018 trial (Pearson correlation: −0.88, p = 0.02), but not in the 2017 trial (Pearson correlation: −0.63, p = 0.18). Cultivars from Brazilian collection “B” generally had higher grain yield and intermediate protein content compared to collection “A” (Figure 1).

3.2 Rusts and powdery mildew

Good disease pressure was observed in the leaf rust nurseries which was demonstrated by the high mean severity of the susceptible check, AC Foremost (76.7% and 60% in 2017 and 2018, respectively). Brazilian cultivars showed good resistance to Canadian leaf rust isolates (Figure 2; Table 3) with over 80% of Brazilian cultivars having a severity of 10% or less. At the seedling stage, 43 Brazilian cultivars were resistant (scored below “3”) to the six Canadian races (Table 3). Only five (BR 18, BRS Pardela, CD 104, Pampeano and TEC Vigore) were susceptible at seedling stage to all six races; however, these cultivars appeared to possess adult leaf rust resistance. According to the molecular markers results, none of these five cultivars possess Lr34, Lr37, Lr16, Lr26, or Lr67; except TEC Vigore that has Lr16. Adult plant resistance (APR), not based on Lr34 or Lr67, was observed in the Brazilian cultivars Abalone, ORS 1401, ORS 1403 and Safira (Table 3).

FIGURE 2

TABLE 3

CultivarCanadian P. triticina isolates—seedling stageLeaf rust severity (%) in CA fieldaBrazil field leaf rust classificationbMolecular markers
MBDSMBRJMGBJ11-TDBGTJBJ06-TDBGLr16Lr34Lr37Lr67Lr26 (1RS:1BL)
Abalone3+0.0MRMSAPRnegnegnegnegneg
Ametista;1/44;1-0.0MRnegnegnegnegneg
Berilo444;1/x3+x11.8MRnegnegnegnegneg
BR 18 - Terena443+3+3+41.2MSnegnegnegnegneg
BR 23;1-;12+0.2APRAPRnegposnegnegpos
BRS 177;1+2+;1 =0.2SMSnegnegnegneghetero
BRS 1793;1-;1+2-;1 =0.2Snegnegnegnegpos
BRS 20800001.0Rnegposnegnegneg
BRS 220000.0MSnegnegnegnegpos
BRS 2964;1x;1 2-3+30.0-APRnegposnegnegneg
BRS 327x;1-;1-;1-;1-0.3Snegnegnegnegpos
BRS 328;1+x2+0.0MRRnegnegnegnegneg
BRS 331;1 =;1 =2-;1 =0.0MSMRnegnegnegnegpos
BRS 374444;1 =2-x0.0Snegnegnegnegneg
BRS Albatroz3+3+2 3+3+3+3+0.3MSnegnegnegnegpos
BRS Buriti;11+2+14.5-negnegnegnegneg
BRS Camboatáx3+40.2-negposNSDnegneg
BRS Gaivota;1-;1 =;1 =;1 =0.5MSnegnegnegnegpos
BRS Gralha Azul2 + 342+;1 =2+2+0.8MRnegnegnegnegneg
BRS Guabiju23+2 32+3+40.0MRMSnegnegnegnegneg
BRS Guamirim0;/3+;/21.3MRMSnegposnegnegneg
BRS Louro2+3+1-0.8MSnegnegnegnegpos
BRS Pardela33+3+3+3+40.8MRnegnegnegnegneg
BRS Parrudo;1 =;14;1-0.0MRMSnegnegnegnegpos
BRS Sabiá;1 =X;1 =;1 =4.2MSnegposnegnegneg
BRS Tangará240.0Rnegposnegnegneg
BRS Timbaúva;1-3+;1 =0.0-negnegnegnegneg
Campeiro000;1 2-3+44.3MRMSnegnegnegnegneg
CD 104433+43+3+15.8Snegnegnegnegneg
CD 10542 33+3+3+3+10.8MSnegnegnegnegneg
CD 108;1 =3+;1-/3+0.3MRnegnegnegnegneg
CD 11040200.5MSnegnegnegnegneg
CD 113;1 =0;1 =3+;1-/3+0.8-negnegnegnegneg
CD 114000;1-3+;1-0.2MRnegnegnegnegpos
CD 115000020.3MRnegnegnegnegneg
CD 1162-;1-;1-;1-3+;1-0.2MRposnegposnegneg
CD 1173;1;1+2-2+;1 =3.5MSnegnegnegnegneg
CD 119433+19.2MSnegnegnegnegneg
CD 121003+445.2MRNSDnegheteronegneg
CD 1221+221.8MRNSDnegheteronegneg
CD 123;/3x;1/xxx1.2MRnegnegnegnegneg
CD 1504;1/x1 2x4x0.7MRnegnegnegnegneg
CD 151;1-/3;1+3+43+2.5MSnegnegnegnegneg
CD 1542+1+;1+;12+;1-0.3MSposnegnegnegneg
CD 1550;1 =;1 =;1 =1.7MRnegnegnegnegneg
Celebra2-;1-;1 =234.3MSnegnegheteronegneg
FPS Nitron000;1 =;1 =5.2Snegheteronegnegneg
Fundacep 300;1;1-2-00.0Snegnegnegnegpos
Fundacep 51;1;1-2-0.2Snegnegnegnegpos
Fundacep 52;1;1-;1-2-;1 =0.0Snegnegnegnegpos
Fundacep Bravo;1 =;1-2-;1 =0.0MRnegnegnegneghetero
Fundacep Campo Real0001.0Snegnegnegnegneg
Fundacep Cristalino32;1 =23+2-0.0MRposnegnegnegneg
Fundacep Horizonte;1+03+32.5Rnegnegnegnegneg
Fundacep Nova Era;1-;1 =;1 =2-0.0Snegnegnegnegpos
Fundacep Raizes2 32 32 32 33+45.5MRnegnegnegnegneg
IPR 1282/31+1 2;1 24;1 =2.7MSnegnegnegnegneg
IPR 1303+;1-;1-x0.2MSnegnegnegnegneg
IPR 13600;1-3+;1 =5.2MSNSDnegnegnegneg
IPR 1442+1++31++3+3+13.3MRheteronegnegnegneg
IPR 853;1-;1-;1-2+2-5.0MRnegnegnegnegneg
IPR Catuara0x3+3+7.7Snegnegnegnegneg
Jadeíte 110001-2-00.0MRRnegnegnegnegneg
LG Oro0;1 =0120.0MRnegnegnegnegneg
LG Prisma000000.2RNSDposnegnegneg
Marfim443+;1/3+3+x0.0MRnegnegnegnegneg
Mirante2++;1+1 + 2;1-3+;1 =2.3Snegnegnegnegneg
Onix2;1;1+3+;1 =0.7Snegnegnegnegneg
OR 1;1 =;1 2-3+;1 =0.2-negnegnegnegneg
ORS 1401000;1 =;1 =1-0.3RMRAPRnegnegposnegneg
ORS 14030;1 =;1 =;1 =0.0RMRAPRnegnegposnegneg
ORS 14050;1 =0.2SMSnegnegNSDnegneg
ORS Vintecinco;1 =;1 =;1 =;1 =0.0RMRnegnegnegnegneg
Pampeano44343+43.7-negnegnegnegneg
Quartzo03+3+2-/3+4.2MSnegnegnegnegneg
Safira;13+;1 =0.0MSAPRnegnegnegnegneg
Supera322+3-;1+3+;1-6.0MSnegnegnegnegneg
Tbio Bandeirantes3;1 =3+33+3-27.5MSnegnegNSDnegneg
Tbio Iguaçu00/202-1 =2-7.2MSnegnegNSDnegneg
Tbio Itaipu000;1 =;1 =;1 =5.2MSnegnegNSDnegneg
Tbio Mestre0;1 =2-;1 =2.0R MRnegnegNSDnegneg
Tbio Noble;1 =23;1 =;1 =1201.2-negnegnegnegneg
Tbio Pioneiro;1 =;1 = /3;1 =0;1 =3.8MRnegnegheteronegneg
Tbio Seleto000;1 =0.0MSnegposnegnegneg
Tbio Sintonia12;1 =;1-2-25.8MSnegnegNSDnegneg
Tbio Sinuelo00;1 =0.2MRnegnegnegnegneg
Tbio Tibagi;1 =2-;1 =;1 =;1 =;1 =0.2Snegnegnegnegneg
Tbio Toruk02-;1-2-2-1-1.0MRnegnegnegnegneg
TEC Veloce4446.2Snegnegnegnegneg
TEC Vigore3444441.5MRRposnegnegnegneg
Topazio;1-2+;1−0.2-negnegnegnegneg
Turqueza;1 = /4443.2MRMSnegnegnegnegneg
Valentex/32x/3;14;1−4.2MSnegheteronegnegneg
Vaqueano;1 =40.0MRnegnegnegnegneg
AAC Scotia4443+4415.8-negnegnegnegneg
AAC Tenacious33+4x4x0.3-negNSDNSDnegNSD
AC Foremost33+3+3+2+468.3-negnegNSDnegneg
FL62R10002+2+2+0.2-negposnegnegneg
Penhold2 + 3;1 =02-1-;1 =2.7-negNSDNSDnegNSD
Roblin343+43+4-heteroNSDNSDnegNSD
Sable3+3+3+;1-4x3.3-negNSDNSDnegNSD

Characterization of the Brazilian collections to leaf rust (Puccinia triticina). Reaction at seedling stage of Brazilian wheat cultivars to Canadian leaf rust isolates, comparison of resistance reaction between Canada and Brazil (Dotto et al., 2005; Informações técnicas para trigo e triticale - Safra, 2012, 2011; Cunha and Caierão, 2014; Cunha et al., 2016; Silva et al., 2017; Franco and Evangelista, 2018; Informações técnicas para trigo e triticale - Safra, 2019, 2018; Informações técnicas para trigo e triticale - Safra, 2020, 2020; Informações técnicas para trigo e triticale - Safra, 2022, 2022). Prediction of the resistance genes in the collection by genotypage of genes/loci related with leaf rust resistance. APR: adult plant resistance determined phenotypically by comparing seedling and adult plant resistance (no indication of APR presence in the table does not mean necessarily absence of APR); pos: positive allele, presence of the resistant allele; neg: negative, presence of the susceptible allele; hetero: heterozygosity in the locus; NSD: not sufficient data.

a

Morden 2017–2018 Field Canada.

b

Informações Técnicas para Trigo e Triticale, disease reaction provided by cultivar’s sponsor.

Markers associated with wheat rust resistance or multiple disease resistance loci such as Lr34/Yr18/Pm38/Sr57/Ltn1, Lr67/Yr46/Sr55/Pm46/Ltn3, Lr37/Yr17/Sr38/blast, Lr16/Sr23, Sr2/Yr20/Lr27/PM/pseudo-black chaff, and SrCad/Bt10 were evaluated (Tables 3, 4 and 5). The frequency of the resistant alleles (Figure 6) to those genes were below 25% in the Brazilian collections, and Lr67 and SrCad were completely absent. Lr34 was present in only 10 cultivars, and Lr16 was identified in 5 cultivars. The presence of the T. ventricosum 2NS translocation, which confers blast resistance besides rust resistance, was present in CD 116, ORS 1401 and ORS 1403, while CD 121, CD 122, Celebra and Tbio Pioneiro were showed to be heterogeneous for the translocation.

TABLE 4

CultivarSeedling test - Canadian P. graminis isolates and TTKSKField CanadaaMolecular markers
QCCTPMRHTTMRRKQQTHRTHMCCQFCTTKSKSeverityInfection typeSr23 (Lr16)Sr57 (Lr34)Sr38 (2NS)Sr55 (Lr67)SrCad/Bt10Sr2/Yr30Sr31 (1RS:1BL)
Abalone----------20MR-Inegnegnegnegnegnegneg
Ametista01-01–101-1-0;1-;1-/33-12.5MRnegnegnegnegnegnegneg
Berilo----------50MSnegnegnegnegnegnegneg
BR 18 - Terena----------7.5R-Inegnegnegnegnegnegneg
BR 23----------5R-MSnegposnegnegnegnegpos
BRS 177----------10MRnegnegnegnegnegnegH
BRS 179----------60I-MSnegnegnegnegnegnegpos
BRS 208----------75I-Snegposnegnegnegnegneg
BRS 220----------65MS-Snegnegnegnegnegnegpos
BRS 296----------55MR-Snegposnegnegnegnegneg
BRS 32701-0000000030I-MSnegnegnegnegnegnegpos
BRS 328;1-1-01-01-1-1–11–11-28.8MR-MSnegnegnegnegnegnegneg
BRS 3311-001-01-1-1-1-1-52.5I-Snegnegnegnegnegnegpos
BRS 374;1-001-00001-;1-5.25MR-Rnegnegnegnegnegnegneg
BRS Albatroz----------5.5MR-Rnegnegnegnegnegnegpos
BRS Buriti----------27.5MR-Inegnegnegnegnegnegneg
BRS Camboatá----------5R-MRnegposNSDnegnegnegneg
BRS Gaivota;1-1-01-01-1-0;1-1-12.5MR-Inegnegnegnegnegnegpos
BRS Gralha Azul1–11-1-1-0111-11-37.5I-MRnegnegnegnegnegnegneg
BRS Guabiju----------52.5I-Snegnegnegnegnegnegneg
BRS Guamirim----------90R-Snegposnegnegnegnegneg
BRS Louro----------20I-Inegnegnegnegnegnegpos
BRS Pardela;1-1-;1-1-;1-1-1–10;1-347.75R-MRnegnegnegnegnegnegneg
BRS Parrudo1-1-1-1-01-1-1-1–1;1-6.25R-Inegnegnegnegnegnegpos
BRS Sabiá1–11-;1-01-1-1-1-11+1-65MS-Snegposnegnegnegnegneg
BRS Tangará----------10MRnegposnegnegnegnegneg
BRS Timbaúva----------12.5I-MRnegnegnegnegnegnegneg
Campeiro011-1-1-1-1-1–11-3+-42.5MS-Inegnegnegnegnegnegneg
CD 104----------10I-MSnegnegnegnegnegnegneg
CD 105----------5.5MR-Rnegnegnegnegnegnegneg
CD 108----------32.5Inegnegnegnegnegnegneg
CD 1104101-1-1-001-40MS-Snegnegnegnegnegnegneg
CD 113----------12.5MR-InegnegnegnegNSDnegneg
CD 114----------35MS-Inegnegnegnegnegnegpos
CD 115----------7.5Inegnegnegnegnegnegneg
CD 116----------3R-MRposnegposnegnegnegneg
CD 117----------17.5MRnegnegnegnegnegnegneg
CD 119----------40I-MSnegnegnegnegnegnegneg
CD 121----------1RNSDnegHnegnegnegneg
CD 122----------7.5MR-RNSDnegHnegnegnegneg
CD 123----------8MR-Rnegnegnegnegnegnegneg
CD 150----------37.5I-MSnegnegnegnegnegnegneg
CD 151----------35Inegnegnegnegnegnegneg
CD 154----------55MS-Iposnegnegnegnegnegneg
CD 15500000000103-45MS-Snegnegnegnegnegnegneg
Celebra12-122+12-1-;1-1-1–1045InegnegHnegnegnegneg
FPS Nitron0001-01-1-1-0022.5I-MRnegHnegnegnegnegneg
Fundacep 300----------25.5S-Rnegnegnegnegnegnegpos
Fundacep 51----------25I-MSnegnegnegnegnegnegpos
Fundacep 52----------30I-MSnegnegnegnegnegnegpos
Fundacep Bravo----------10MRnegnegnegnegnegnegH
Fundacep Campo Real----------20Inegnegnegnegnegnegneg
Fundacep Cristalino;1-0; /23–3001-1–1/3–31-1–190Sposnegnegnegnegnegneg
Fundacep Horizonte----------40MSnegnegnegnegnegnegneg
Fundacep Nova Era----------10Inegnegnegnegnegnegpos
Fundacep Raizes----------37.5Inegnegnegnegnegnegneg
IPR 128----------32.5I-MSnegnegnegnegnegnegneg
IPR 130----------7.5R-MRnegnegnegnegnegnegneg
IPR 136----------50MSNSDnegnegnegnegnegneg
IPR 144----------7.5MRHnegnegnegnegnegneg
IPR 8501-1-0;1-;1-10;1-3413.75MRnegnegnegnegnegnegneg
IPR Catuara03-;1-1012/3-12-0;1-33+67.5MS-Snegnegnegnegnegnegneg
Jadeíte 11;1-1-1-10;1-1–11–111-40I-MSnegnegnegnegnegnegneg
LG Oro01-;1-1-1-1-11+1-11+1–165MS-Snegnegnegnegnegnegneg
LG Prisma001-0;1-1-001-1-25SNSDposnegnegnegnegneg
Marfim;1-1-0;1-;1-1-1-;1-1-1–115MRMSnegnegnegnegnegnegneg
Mirante01–10001-1-1-13455MS-Snegnegnegnegnegnegneg
Onix----------37.5MS-MRnegnegnegnegnegnegneg
OR 1----------17.5Inegnegnegnegnegnegneg
ORS 1401;1-01-1-;1-;1-;1-1-1-5.5MR-MSnegnegposnegnegnegneg
ORS 14030001-01-;1-00;1-1Rnegnegposnegnegnegneg
ORS 140501-01-01-;1-1-01-22.5InegnegNSDnegnegnegneg
ORS Vintecinco01-1-1-;1-1-1-01-1-10MRnegnegnegnegnegnegneg
Pampeano----------12.5MRnegnegnegnegnegnegneg
Quartzo01-01-1-;1-1-1-1-1-21.3MR-Inegnegnegnegnegnegneg
Safira01-01-0;1-1-001–118.8MR-Inegnegnegnegnegnegneg
Supera1–11-1-3-2–212-22-;1-133+32.5I-MSnegnegnegnegnegnegneg
Tbio Bandeirantes01-;1-12-01-1–10;1-33+65MS-SnegnegNSDnegnegnegneg
Tbio Iguaçu1-1-1-1-1-;1-001-1-25MR-InegnegNSDnegnegnegneg
Tbio Itaipu01-;1-1-1-;1-1-1-1-1-20MRnegnegNSDnegnegnegneg
Tbio Mestre01–101-01-000;11RnegnegNSDnegnegnegneg
Tbio Noble11-3-1–101-1-1-13435MSnegnegnegnegnegnegneg
Tbio Pioneiro11+1-2-1-01-1-1-1–1430I-RnegnegHnegnegnegneg
Tbio Seleto1-;1-1-0;1-1-0;1-03R-MRnegposnegnegnegnegneg
Tbio Sintonia1-1-22+1–10;1-;1-;1-047.5MR-MSnegnegNSDnegnegnegneg
Tbio Sinuelo01-1-1-1-1-;1-01-;1-20MR-Inegnegnegnegnegnegneg
Tbio Tibagi01-001-1-1–1;1-1–13410R-Inegnegnegnegnegnegneg
Tbio Toruk1-1-1–13-33+3–333-1-11+3417.5S-MSnegnegnegnegnegnegneg
TEC Veloce----------5Rnegnegnegnegnegnegneg
TEC Vigore----------20S-Sposnegnegnegnegnegneg
Topazio;1-1-01-0;1-1-1-0;1-11.3I-Rnegnegnegnegnegnegneg
Turqueza----------12.5I-MRnegnegnegnegnegnegneg
Valente----------15S-InegHnegnegnegnegneg
Vaqueano----------7.5R-MRnegnegnegnegnegnegneg

Characterization of the Brazilian collections to stem rust (Puccinia graminis). Reaction at seedling stage of Brazilian wheat cultivars to Canadian stem rust isolates and TTKSK, and field data in Canada. Prediction of the resistance genes in the collection by genotypage of genes/loci related with stem rust resistance. Pos: positive allele, presence of the resistant allele; neg: negative, presence of the susceptible allele; H: heterozygosity in the locus; NSD: not sufficient data; R: resistance; MR: moderate resistance; I: intermediate; MS: moderate susceptibility; S: susceptibility.

a

Morden 2017–2018 Field, Canada.

TABLE 5

CultivarFHB index (%)DON (ppm)FHB BrazilaFhb1Fhb2Fhb 5ASFHB 3ALRht-B1Rht-D1Rht8
Abalone1815MR MSnegnegnegposposnegneg
Ametista10.39.2MS SnegnegNSDNSDposnegneg
Berilo32.624.5MSnegnegnegposposnegNSD
BR 18 - Terena39.628.7Snegnegnegposnegposneg
BR 232420.5SnegnegnegNSDnegposneg
BRS 17712.17.6MRnegnegNSDposposnegneg
BRS 17922.215.4MRnegnegposposnegnegneg
BRS 2082414.7MSnegnegnegNSDnegnegneg
BRS 22030.826.8MSnegnegnegNSDnegposNSD
BRS 2543329.9SnegnegNSDNSDposnegneg
BRS 26438.826.8Snegnegnegposposnegneg
BRS 27624.616.9MSnegnegnegposposnegneg
BRS 29621.217MRnegnegposnegposnegneg
BRS 32720.417.4MRnegnegnegNSDnegnegneg
BRS 3282217.9MSnegnegposNSDposnegneg
BRS 33117.617.8MSnegnegnegNSDnegposNSD
BRS 37419.524SnegnegnegNSDnegposNSD
BRS Albatroz18.920.1MSnegnegnegNSDposnegneg
BRS Buriti17.68.8MSnegnegnegNSDnegnegneg
BRS Camboatá28.522.2MSnegnegnegNSDposnegNSD
BRS Gaivota23.715.6MSnegnegNSDNSDposnegNSD
BRS Gralha Azul26.820.2MSnegnegNSDNSDposnegneg
BRS Guabiju18.617MSnegnegnegNSDnegnegneg
BRS Guamirim20.218.7MRnegnegnegNSDnegposneg
BRS Louro17.29.3MRnegnegnegposposnegneg
BRS Pardela33.123.6MSnegnegnegNSDnegposneg
BRS Parrudo21.214.5MRnegnegposNSDnegposneg
BRS Sabia24.112.4MSnegnegNSDNSDposnegNSD
BRS Tangará30.731.8MSnegnegnegNSDnegposneg
BRS Timbaúva17.814MRnegnegnegposposnegNSD
BRS Umbu--MRNSDNSDnegNSDposnegneg
Campeiro14.68.9MSnegnegnegNSDposnegneg
CD 10424.520.6SnegNSDNSDposposnegpos
CD 10531.627.9SnegNSDnegposposnegneg
CD 10832.124.4SnegnegnegNSDposnegneg
CD 110426.416.5MSnegnegNSDnegposnegNSD
CD 11326.629.1SnegnegnegNSDposnegneg
CD 11421.911.9MSnegNSDnegNSDnegpospos
CD 11517.411.4MSnegnegnegposposnegneg
CD 11624.825.9SnegnegposNSDposnegneg
CD 11718.720.3MSnegnegNSDNSDposneghetero
CD 11824.617.4SnegNSDnegNSDposnegNSD
CD 11941.124.9MSnegnegnegNSDposnegNSD
CD 120--MSnegnegnegNSDposnegneg
CD 12123.517.6MSnegnegNSDposposnegNSD
CD 12236.632.8MSnegnegNSDposnegposneg
CD 12325.720.4MSnegnegnegposposnegneg
CD 1252--SnegnegNSDNSDposnegNSD
CD 15031.720.7SnegNSDposposposneghetero
CD 15125.625.7MSnegNSDposposposneghetero
CD 15425.430.6SnegnegnegposposnegNSD
CD 155016.113.8MSnegnegNSDNSDposnegNSD
Celebra17.110.5MR MSnegnegNSDNSDposnegNSD
Embrapa 2239.538.5-negNSDposNSDposnegneg
Embrapa 4238.234.5-negNSDNSDNSDnegposneg
FPS Nitron13.38.9MR MSnegnegNSDnegposnegNSD
Fundacep 30013.74.7SnegnegnegNSDheteronegneg
Fundacep 5111.46.8MSnegnegnegNSDnegnegneg
Fundacep 5217.410SnegnegposNSDnegposneg
Fundacep Bravo16.28.1MSnegnegposNSDposnegneg
Fundacep Campo Real14.79.3MRnegnegnegNSDposnegNSD
Fundacep Cristalino23.915.1MSnegnegnegposposnegNSD
Fundacep Horizonte10.59.3MR MSnegnegnegposposnegneg
Fundacep Nova Era16.86.6SnegnegnegNSDnegposneg
Fundacep Raizes15.710.1SnegnegnegNSDheteronegneg
IPR 12830.628.1SnegNSDnegNSDposnegneg
IPR 13030.420.2SnegNSDnegNSDposnegneg
IPR 13623.820.9SnegNSDposNSDposnegneg
IPR 14441.542.9SnegNSDNSDNSDposnegneg
IPR 8545.532.3MSnegnegnegposnegposneg
IPR Catuara TM30.318.4Snegnegnegposnegposneg
Jadeite 11127.5MRnegnegNSDnegposnegNSD
LG Oro12.712.9MSnegnegNSDNSDposnegNSD
LG Prisma17.911.8MRnegnegNSDposNSDNSDNSD
Marfim21.416.1MS SnegnegnegNSDposnegNSD
Mirante17.510.6SnegNSDnegNSDposnegneg
Onix176.7MSnegnegnegNSDposnegneg
OR 120.914.8MSnegNSDnegNSDposnegneg
ORS 140112.510.3MRnegnegNSDposposnegNSD
ORS 1402--MRnegnegNSDNSDNSDnegNSD
ORS 140327.87.2MRnegnegNSDNSDposnegNSD
ORS 140514.45.1MR MSnegnegNSDnegposnegNSD
ORS Vintecinco16.612.9-negnegNSDNSDposnegNSD
Pampeano17.98.9MRnegnegnegposposnegneg
Quartzo16.112.2MSnegNSDNSDNSDposnegNSD
Safira2511.6MSnegnegnegNSDposnegneg
Supera23.421.1MSnegNSDnegNSDposnegneg
TBio Bandeirante20.118.4MSnegnegNSDNSDposnegNSD
TBio Iguaçu17.48.8MSnegnegNSDNSDposnegNSD
TBio Itaipu17.410.9MSnegnegNSDNSDposnegNSD
TBio Mestre18.715.7MSnegnegNSDposposnegNSD
TBio Noble21.714.3MSnegnegNSDnegNSDNSDNSD
TBio Pioneiro16.910.4MSnegnegNSDnegposnegNSD
TBio Seleto13.36.9MS MRnegnegNSDNSDposnegNSD
TBio Sintonia22.713.4MSnegnegNSDNSDposnegNSD
TBio Sinuelo13.76.3MS MRnegnegNSDNSDposnegNSD
TBio Tibagi22.912.7S MSnegnegNSDNSDposnegNSD
TBio Toruk14.511.3S MSnegnegNSDNSDposnegNSD
TEC Frontale---negnegNSDNSDposnegNSD
TEC Triunfo--MR MSnegnegNSDNSDNSDNSDneg
TEC Veloce18.712MR MSnegnegnegposposnegNSD
TEC Vigore11.85.8MR MSnegnegnegposposnegNSD
Topazio16.811.6MRnegnegnegNSDposnegneg
Turqueza14.311.1MRnegnegnegnegposnegneg
Valente23.114.6SnegnegnegNSDposnegneg
Vaqueano18.713.7MS MRnegnegnegNSDposnegneg

Comparison of FHB reaction in ancient and more contemporary spring wheat Brazilian cultivars in Canada (mean of FHB index and DON, Ottawa 2021 and Morden 2017 and 2018 under artificial inoculation and irrigation) with the classification to FHB in Brazil (Dotto et al., 2005; Informações técnicas para trigo e triticale - Safra, 2012, 2011; Cunha and Caierão, 2014; Cunha et al., 2016; Silva et al., 2017; Franco and Evangelista, 2018; Informações técnicas para trigo e triticale - Safra, 2019, 2018; Informações técnicas para trigo e triticale - Safra, 2020, 2020; Informações técnicas para trigo e triticale - Safra, 2022, 2022). Prediction of the resistance genes in the collection by genotypage of genes/loci related with FHB and plant height (Rht genes). Markers related with resistance genes, positive allele (pos) means presence of the resistant allele and negative (neg) represents the susceptible allele. For the Rht genes, positive represents the mutant allele (semi-dwarf) and negative is the wild-type. Hetero: heterozygosity in the locus; NSD: not sufficient data; R: resistance; MR: moderate resistance; MS: moderate susceptibility; S: susceptibility.

a

Informações Técnicas para Trigo e Triticale, disease reaction provided by cultivar’s sponsor.

Only collection “B” was tested at seedling stage for their reaction to nine Canadian P. graminis f. sp. tritici (Pgt) races and the Ug99 race “TTKSK” (Table 4). Of the 42 cultivars tested 37 were resistant to the Pgt races, and 28 cultivars showed seedling resistance to the Ug99 stem rust race TTKSK. Both collections were field evaluated at Morden (MB) in 2017 and 2018 with severity ranging from 1R to 90S (Table 3; Figure 2). ORS 1403 demonstrated excellent stem rust resistance. This cultivar demonstrated seedling resistant to all 9 Canadian races and TTKSK, and it was rated 1R in the field. Molecular analyses indicated that ORS 1403 carries the 2NS translocation (Sr38), but does not have the DNA markers for Sr31 (1RS:1BL), Sr57, Sr23, SrCad, or Sr2. The rye translocation (1RS:1BL), which has been associated with leaf, stem and stripe rust and powdery mildew resistance, was present in 14% of the cultivars (Figure 6; Table 4).

When tested for stripe rust resistance, 46% of the Brazilian cultivars had average severity equal to or less than 30% in 2015 and 2017 (Figure 2). In general, the Brazilian material possessed less stripe rust resistance compared to leaf rust resistance. 26% of Brazilian cultivars tested had stripe rust severity over 50%.

The powdery mildew nurseries in 2017 and 2018 had maximum plot severities of 70% and 60%, respectively. Among Brazilian cultivars evaluated, 53% had powdery mildew severity scores less than or equal to 20% (Figure 2).

Figure 2 demonstrates the reaction of each cultivar to leaf rust, stripe rust, stem rust and powdery mildew. Four cultivars were found to possess superior resistance to the three rusts and powdery mildew: ORS 1403, CD 121, BRS Camboata and Tbio Mestre.

3.3 Fusarium head blight

Results of the Brazilian collections at the FHB nurseries at Morden 2017, 2018 and Ottawa 2021 showed significant positive correlations among the traits associated with FHB disease rating (Incidence, Severity, FHB Index and DON). These disease rating parameters were negatively correlated with anthesis and plant height (Figure 3).

FIGURE 3

When the FHB ratings and DON data were considered by collection, there was a trend to lower FHB disease scores (Incidence, Severity, FHB index, and DON) from collection ‘A’ (older cultivars), to cultivars in collection ‘B’ (recent cultivars) (Figures 4A–D). Improved FHB resistance of collection B is also evident in Figure 5, where these cultivars were mostly situated in the bottom left quadrant of the chart indicating a FHB index below 30% and DON content below 20 ppm. In general, Canadian checks were earlier maturing than Brazilian cultivars, with some exceptions (Figure 4E). While there was a significant negative correlation between both FHB index and DON with plant height, some shorter Brazilian cultivars with good FHB resistance were identified (Table 3; e.g., Fundacep 300, Fundacep Horizonte, Jadeite and LG Oro).

FIGURE 4

FIGURE 5

FHB resistance within the collections does not appear to be conferred by Fhb1 or Fhb2, because cultivars had the susceptible alleles for markers close to those loci (Table 5; Figure 6). In contrast, FHB QTL 3AL, derived from Frontana, was identified in 24% of the cultivars tested, and 13% of the cultivars tested positive for resistant alleles associated with 5AS FHB QTL. The KASP marker IWA7777 developed for the 5AS FHB QTL (Pandrurangan et al., 2021) gave positive alleles for both Frontana and Sumai-3. Thus, it is not possible to distinguish the source of this QTL using IWA7777 marker. For SSR marker gwm293, Frontana (211bp) and Sumai-3 (217bp) amplified different size alleles. The cultivars that amplified the same gwm293 allele as Frontana for FHB 5AS were: Ametista (heterozygous), BRS179, BRS254, BRS 296, BRS 328, BRS Parrudo, CD 150, CD 151, Embrapa 22, Embrapa 42, IPR 136, TEC Triunfo; and the cultivars that amplified same allele as Sumai-3 for FHB 5AS (gwm293) were: CD 116, CD 121, Fundacep 52, Fundacep Bravo. Four cultivars had the alleles associated with FHB resistance for the QTL on 5AS and 3AL: BRS 179, CD 121, CD 150 and CD 151 (Table 5). The comparison of the cultivars with the allele associated with FHB resistance at FHB 5AS QTL with cultivars with the susceptible allele found no significative difference among the two groups for FHB index (p = 0.89) and DON level (p = 0.69) (data not shown).

FIGURE 6

Through molecular marker analysis, the presence of the semi-dwarf alleles, Rht-B1b and Rht-D1b, was predicted. The semi-dwarf Rht-B1b allele was present in 77.2% of the cultivars tested compared to only 15.5% of cultivars that carried the Rht-D1b allele (Figure 6). Only six cultivars did not carry either the Rht-B1b or the Rht-D1b semi-dwarf alleles (Table 5), of which two cultivars (CD104 and CD114) tested positive for the Rht8 semi-dwarf allele. These two Brazilian cultivars may have either Akakomugi or Strampelli in their ancestry because the Rht8 marker is only diagnostic in germplasm with these exotic cultivars in their lineage (Ellis et al., 2007). The effect of the Rht genes on plant height and FHB resistance is shown in Figure 7. T-tests indicated significant differences in plant height between the B1a-D1a cultivars and cultivars with either the Rht-B1b or the Rht-D1b allele. In the presence of the Rht-D1b allele, FHB symptoms and DON accumulation were higher compared to cultivars without it. The presence of the Rht-B1b allele, on average, did not significantly affect the FHB symptoms and DON accumulation in the cultivars tested (Figure 7).

FIGURE 7

4 Discussion

Wheat cultivars from both countries have been developed with good performance in their agroclimatic conditions and good levels of resistance to important economic diseases. In this study, we evaluated the agronomic performance Brazilian cultivars under Canadian growing conditions, we assessed the reaction to Canadian isolates/pathogens and hypothesize as to the presence of certain genes. The final aim was to understand the weakness and strengths of the Brazilian germplasm in order to effectively use it with Canadian genetics to increase genetic diversity, improve genetic gain and resilience in spring wheat.

In general, the Brazilian spring wheat collection with more recently released cultivars, had intermediate protein and higher grain yield compared to the older collection (Figure 1). The well-known negative correlation between yield and protein was evident in 2018 but the yield-protein content relationship was not significant in 2017. Most Brazilian cultivars tested that plotted below the linear regression line of yield versus protein (Figure 1), were removed from the 2022 Brazilian recommendation list of cultivars (Supplementary Table S1). The exceptions were Marfim (hard red wheat with white flour) and Campeiro (hard red wheat with crackers-flour type), which have specific end-use quality attributes.

The genetic basis for disease resistance can be a determining factor in the durability of disease resistance. Frequently, rust resistance genes that were previously effective at controlling the disease, lose their effectiveness due to changes in the pathogen population, resulting in susceptibility. Recent examples are the evolution of virulence to the leaf rust resistance gene Lr21 which conditioned complete resistance in Canada until the emergence of virulent races in 2012 (McCallum et al., 2018), or Sr31 and/or Sr24 stem rust resistance genes that were overcome by Ug99 isolates and variants in Africa (Fetch et al., 2021). However, disease resistance has never been overcome for the durable multi-pest resistance genes Lr34 and Lr46 (Bokore et al., 2022). To avoid resistance genes becoming ineffective, it is important to diversify the genetics and pyramidize genes, using durable adult plant resistance genes and/or minor genes.

Wheat breeders have been able to achieve high levels of resistance for leaf rust in both countries. In Canada, some of the commonly deployed leaf rust resistance genes include Lr1, Lr2a, Lr13, Lr14a, Lr16, Lr21, Lr34, and more recently Lr46 (McCallum et al., 2016; Bokore et al., 2022). The Brazilian wheat cultivars had excellent field and seedling resistance to wheat leaf rust in Canada. However, only a few Brazilian cultivars were positive for the presence of either Lr34 or Lr16, two of the most common resistance genes in Canadian wheat (McCallum et al., 2007; McCallum et al., 2012). Therefore, the Brazilian wheat germplasm likely could be used to diversify and improve the leaf rust resistance of Canadian wheat.

Many Brazilian cultivars tested have good adult plant resistance (APR) because they were seedling susceptible to one or more common Canadian leaf rust races but were at least moderately resistant in the field. In Brazil, these cultivars with APR to leaf rust were classified from MRR to S (Table 3) (Dotto et al., 2005; Informações técnicas para trigo e triticale - Safra, 2012, 2011; Cunha and Caierão, 2014; Cunha et al., 2016; Silva et al., 2017; Franco and Evangelista, 2018; Informações técnicas para trigo e triticale - Safra, 2019, 2018; Informações técnicas para trigo e triticale - Safra, 2020, 2020; Informações técnicas para trigo e triticale - Safra, 2022, 2022). Molecular marker analyses indicate that APR is mostly conferred by genes other than Lr34 or Lr67. Lr46 may be a source of APR in the Brazilian germplasm or the resistance could be derived from genes not yet identified. Genetic studies to better understand the Brazilian leaf rust resistance are planned with expectations of identification of new sources of durable resistance, such as that identified in the older Brazilian cultivars Toropi and Frontana. The Brazilian cultivar Toropi has excellent adult plant resistance (Barcellos et al., 2000; Rosa et al., 2019) as does Frontana (Dyck and Samborski, 1982; Singh and Rajaram, 1992), which was the original source of Lr34 resistance complex in the majority of CIMMYT and North American hard red spring wheat cultivars. The genetic resistance of Toropi is complex, involving race-specific and non-specific adult plant genes, being the last denominated as Lr78 (Barcellos et al., 2000; Wesp-Guterres et al., 2013; Casassola et al., 2015; Kolmer et al., 2018; Rosa et al., 2019).

The common leaf rust differential set used to differentiate and denominate P. triticina isolates is inadequate for testing in Brazil (Barcellos and Turra, pers. comm.). The seedling differential set used in Brazil to determine the virulence phenotype of the isolates in 2013 was composed by the genes: set 1- Lr1, Lr2a, Lr2c, Lr3; set 2- Lr9, Lr16, Lr24, Lr26; set 3- Lr3ka, Lr11, Lr17, Lr30; set 4- Lr10, Lr18, Lr21, Lr23; set 5- Lr14a, Lr14b, Lr27+Lr31, Lr20; additional lines Lr3bg, ORL 4002 [described by Rosa (2013)]. The seedling gene conferring resistance to ORL 4002 has not been identified. From 2004 to 2007, the predominant race was MDT-MT 4002 avirulent, which was surpassed by the race MDT-MT 4002 virulent. This race was predominant from 2007 to 2010. In 2007, the new races TDT-MT and TFT-MT were identified, and TFT-MT represented approximately 70% of the isolates from 2013 to 2017. Since 2019, variants of TFT and MDT were identified: MPP-MT, TFT-HT, TPT-MT, TNT-MT, TDT-HT. In Canada, the predominant race in 2019 was MNPS, identified first in 2015, and it has been the predominant race since 2016. In 2018, TBBG made up 29% of races and was virulent on Lr21 (McCallum et al., 2021). There are some differences in the fourth set between Brazil and Canada (LrB, Lr10, Lr14a, Lr18), which makes comparison difficult. The Canadian MNPS would be MNP-L or MNP-M in Brazil; while TBBG would be denominated TBB-N or TBB-P. In general, the Brazilian leaf rust races are more virulent than in Canada. In 2023, the Brazilian differential set included Lr51 and Lr41 (Nogal). The cultivars Citrino (Lr26 + other gene(s)), Toruk, ORS1403 recently became susceptible to leaf rust in Brazil. However, in Canada, the last two cultivars were still resistant in seedling and field tests (Table 3). Besides the seedling resistance of ORS1403, this cultivar also demonstrated as yet unidentified APR.

Resistance for stem rust was variable within the Brazilian cultivars. Stem rust has not been a disease of economic importance in Brazil for decades. However, susceptible pustules of stem rust were identified in 2022 on wheat grown at southern Brazil. The most important genes conferring stem rust resistance in Brazilian germplasm at the present time are probably Sr24 and Sr31 (1BL.1RS translocation) (Barcellos, pers. comm.). The wheat-rye translocation, which is related with multiple disease resistance, has been used by Brazilian and North American breeding programs because it can confer higher yield in some environments, however, it is also related with poor bread quality. This translocation was present in 14% of the cultivars (Figure 6; Table 4). Previously, it was estimated that 1BL.1RS was present in 30% of the area cultivated with wheat in Brazil in 2004 (Germán et al., 2007). The difference in prevalence of 1BL.1RS may reflect the choice by Brazilian producers of the higher yielding cultivars that also carry the 1BL.1RS translocation.

Many cultivars had high levels of both seedling and field stem rust resistance to Canadian Pgt isolates. Many also had seedling resistance to TTKSK, one of the Ug99 strains from Africa. Twelve cultivars were tested in Kenya in 2015, and some showed good resistance to the African Pgt races (Ametista 30MSS, Campeiro 40MSS, Jadeite 30MSS, Marfim 40MSS, Mirante 60MSS, ORS1401 40MSS, ORS1403 20MR, ORS1405 50MSS, ORS Vintecinco 60MSS, Quartzo 60S, Safira 40MSS, Topazio 20M) (Barcellos, unpublished results). The stem rust resistance genes in these Brazilian cultivars might be different from those in Canadian cultivars making them useful for diversifying the base of stem rust resistance in Canadian wheat. Studies to characterize Brazilian germplasm, such as the one reported here, are valuable for both Brazilian and Canadian researchers.

The Brazilian cultivars had considerable variability for both stripe rust and powdery mildew resistance, with many cultivars being susceptible to either one or the other or both in Canada. However, many cultivars had good levels of stripe rust or powdery mildew resistance, and some had resistance to both (Figure 2). Higher susceptibility for stripe rust than leaf rust in the Brazilian germplasm could be explained by the absence of the first disease in Brazil for decades, so breeding for resistance to stripe rust has been practically absent. Few breeding programs have the capacity to use molecular marker selection in Brazil, so the selections are based on the pedigree and phenotyping in the field, which was impossible without the disease. Recently, Brazil and Canada have experienced stripe rust epidemics, even in warmer regions (Rioux et al., 2015). Therefore, a focus will be needed to introduce stripe rust resistance and to characterize the genetics of the germplasm. This study would be helpful, and Canadian wheat might be a useful source of stripe rust resistance in Brazil. In Canada, stripe rust resistance breeding had not been a priority until after 2000 since it was confined mainly to southern Alberta (McCallum et al., 2007). However, with the spread of stripe rust through the Great Plains of the United States and into the Canadian provinces of Manitoba, Saskatchewan and Alberta since 2000, resistance to stripe rust has become a more urgent priority. One major source of resistance initially in Canadian wheat cultivars was Yr18 = Lr34 that had been incorporated into many cultivars for leaf rust resistance, but also conferred stripe rust resistance (McCallum et al., 2007). Powdery mildew is an economic important disease in eastern Canada. However, it is normally of minor importance in western Canada where the majority of wheat is grown, due to the generally warmer and drier growing conditions, which are not favorable to the pathogen. Wheat cultivars are selected for resistance in eastern Canada for powdery mildew resistance but not in western Canada. In Brazil, the environmental conditions favor the disease development, and genetic resistance is key to manage it. In general, Pm4a, Pm4b, Pm3f, Pm8 and Pm17 are effective in southern Brazil (Lau et al., 2020).

Cultivars were identified that combined resistance to FHB, leaf, stem, stripe rust and powdery mildew including: ORS 1403, CD 121, BRS Camboata and Tbio Mestre. This could be due to pyramids of resistance genes specific to each disease and/or the presence of multi-pest resistance genes, although the best-known multi-pest resistance gene Lr34 was not found in these multi-disease resistant cultivars. The presence of Lr46, another important multi-pest resistance gene should be investigated, which should be facilitated once a diagnostic molecular marker is available.

FHB resistance is less well understood, but Canadians and Brazilians have developed cultivars with good FHB resistance. Canadian wheat cultivars were built from a moderate level of resistance in cultivars such as AC Barrie by adding Fhb1 from Sumai-3 and other Asian sources (Thambugala et al., 2020). In contrast, FHB resistance in Brazilian wheat is not based on Sumai-3, as molecular markers for Fhb1 and Fhb2 were absent in the Brazilian material tested. A similar result was reported by Mellers et al. (2020). In a panel of 558 bread wheat accessions maintained by Brazilian Agricultural Research Corporation (EMBRAPA)-Trigo, which represents wheat germplasm released between 1852 and 2013, only two Brazilian cultivars amplified the resistance allele of Fhb1, Peladinho and BR-43, released in 1978 and 1991, respectively. Neither cultivar was included in the present study. The FHB resistance in the Brazilian wheat seems to be based on resistance from the Brazilian cultivar “Frontana”. The presence of the 3AL QTL, derived from Frontana, and the 5AS QTL (identified in both Frontana and Sumai-3) was shown, based on molecular marker testing, in 11 and 28 cultivars, respectively. However, a comparison of the FHB index and DON level of cultivars with the positive allele for 5AS QTL and cultivars with the negative allele indicated no significative difference among the cultivars. Therefore, the effect of FHB 5AS QTL alone was not enough to confer resistance. The results of the 3AL QTL marker testing were not adequate to predict the presence/absence of these QTL in many of the cultivars, so similar analysis of the effect of 3AL QTL was not possible.

Cultivars that had the highest FHB index and DON levels in Canada were classified as MS or S in Brazil (Dotto et al., 2005; Informações técnicas para trigo e triticale - Safra, 2012, 2011; Informações técnicas para trigo e triticale - Safra, 2013, 2013; Cunha and Caierão, 2014; Riede, 2014; Cunha et al., 2016; Silva et al., 2017; Franco and Evangelista, 2018; Informações técnicas para trigo e triticale - Safra, 2019, 2018; Informações técnicas para trigo e triticale - Safra, 2020, 2020; Informações técnicas para trigo e triticale - Safra, 2022, 2022). However, some Brazilian cultivars classified as MS or S in Brazil performed well in Canada (Table 5). The climate conditions in Brazil are frequently favorable to the development of Fusarium infection, with temperatures over 20°C and high precipitation during anthesis. The inoculum pressure is very high, as the fungi can survive in many native species and previous crops (Chiotta et al., 2021). Wheat is mainly rotated with soybean and corn in southern Brazil, where wheat is predominantly cultivated. In that region, no-till is the predominant farming system.

Besides climate, farming system and inoculum pressure, another difference between Canada and Brazil that could cause the difference in the disease resistance rating of cultivars is the composition of the F. graminearum species complex (FGSC). In a multi-year survey of more than 200 wheat fields assessed and more than 600 isolates, the FGSC was composed by F. graminearum (83%) of the 15-ADON genotype, Fusarium meridionale (12.8%) and Fusarium asiaticum (0.4%) of the nivalenol (NIV) genotype, and Fusarium cortaderiae (2.5%) and Fusarium austroamericanum (0.9%) with either the NIV or the 3-ADON genotype (Del Ponte et al., 2015). In Canada, F. graminearum sensu stricto is prevalent (Amarasinghe et al., 2015; Amarasinghe et al., 2019). In some Canadian provinces, the native 15-ADON chemotypes are being displaced by the more aggressive 3-ADON chemotypes, and new NIV-type as well as NX-2 populations have emerged (Kelly et al., 2016; Kelly and Ward, 2018).

The presence of the semi-dwarf alleles was predicted in most of the Brazilian cultivars. Over 75% of the cultivars possessed the semi-dwarf allele of Rht-B1, while the Rht-D1 and Rht-8 were less frequent (Figure 6). While Rht genes reduce plant height, they are also associated with increased susceptibility to FHB (Draeger et al., 2007; Srinivasachary et al., 2008, 2009; Lv et al., 2014). A significant negative correlation between plant height and FHB was detected (Figure 3). The presence of the Rht-B1b or Rht-D1b alleles significantly reduced plant height although there was no significant difference between the plant height reduction of the two genes. The presence of Rht-D1b significantly increase FHB index scores and DON accumulation compared to the Rht-D1a allele. This trend was not observed for the Rht-B1 cultivars (Figure 6). As previously mentioned, Brazilian breeding selections were dependent on phenotyping in the field. Therefore, the Rht-B1b was probably indirectly selected due to better FHB resistance in the shorter plants. The success through the years of improving FHB in the Brazilian germplasm is visualized in Figure 4, where most recent cultivars (collection “B”) have lower Fusarium ratings and DON content compared to older cultivars. Selections for reduced plant height and days to anthesis was generally similar across the collections. This study indicates that Rht-B1 is a preferred option compared to Rht-D1 to reduce plant height with less effect on FHB susceptibility. A similar result was previously reported for winter wheat in Ontario, Canada (Tamburic-Ilincic and Rosa, 2017; Tamburic-Ilincic and Rosa, 2019). Surprisingly, the frequency of Rht-B1b (28%) and Rht-D1b (45%) in Southern Great Plains, eastern United States and Canada, are contrary to the proportions reported for the Brazilian collections (Guedira et al., 2010).

Wheat blast (Magnaporthe oryzae Triticum, MoT) is a major threat to wheat production in Brazil, other South America and African countries (Li et al., 2015; Callaway, 2016; Tembo et al., 2020; Singh et al., 2021; Hossain, 2022). There are concerns that the pathogen may continue to spread to other parts of the world, including Canada (Kohli et al., 2011; Duveiller et al., 2016; Ceresini et al., 2019). Once the symptoms of blast appear in the spikes, control methods are not efficient and total crop loss can result. Resistance is mostly limited to 2NS carriers, which is being eroded by the newly emerged MoT isolates, demonstrating an urgent need for identification and utilization of non-2NS resistance sources (Singh et al., 2021). The translocated 2NS segment is closely linked to Sr38, Yr17 and Lr37 (Bariana and McIntosh, 2011), and some Canadian cultivars have the translocation such as CDC Stanley (Randhawa et al., 2013). Some Brazilian cultivars described in this study could be used as source of 2NS blast resistance for Canadian wheat breeding.

Generally, the Brazilian wheat cultivars performed and yielded well under eastern Canadian growing conditions. Resistance was generally very good for FHB and leaf rust, but more variable between cultivars for stem and stripe rust and powdery mildew. Since the genetic backgrounds of these cultivars are generally different from Canadian wheat, they represent opportunities to improve agronomic performance, and resistance to these diseases. A better understanding of the genetics that condition resistance to each of these diseases will be helpful in parental selection and the development of molecular markers for marker assisted breeding.

Statements

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author contributions

SR, GH, and BM contributed to conception and design of the study. BM was responsible for the leaf rust data, TF and TZ for the stem rust, MH for the FHB, BB for the DON, AC for the powdery mildew and HR for the stripe rust data. AB, HV and GH contributed in the trials and nurseries in Ottawa and/or PEI. LL and EF organized the genotyping, with contribution from SR, CH and GH. SR was responsible for the trials at CÉROM. SR organized the database, performed the statistical analysis and, with the help of BM, wrote the first draft of the manuscript. PS and CT contributed with seeds and important knowledge about the performance of the cultivars in Brazil. All authors contributed to manuscript revision, read, and approved the submitted version.

Acknowledgments

We are grateful for financial support from Agriculture and Agri-Food Canada through Canadian Agricultural Partnership, and from Canadian Wheat Research Coalition, SeCan and Producteurs de Grains du Québec. The authors thank the sponsors and breeding programs of the cultivars evaluated in this study. We would like to thank the professionals who worked in the experiments at different sites of AAFC and CÉROM.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgene.2023.1125940/full#supplementary-material

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Summary

Keywords

wheat, Triticum aestivum, breeding, germplasm, genetic diversity, rust, Fusarium

Citation

Rosa SB, Humphreys G, Langille L, Voldeng H, Henriquez MA, Burt AJ, Randhawa HS, Fetch T, Hiebert CW, Blackwell B, Zegeye T, Cummiskey A, Fortier E, Scheeren PL, Turra C and McCallum B (2023) Characterization of Brazilian spring wheat germplasm and its potential for increasing wheat genetic diversity in Canada. Front. Genet. 14:1125940. doi: 10.3389/fgene.2023.1125940

Received

16 December 2022

Accepted

06 March 2023

Published

17 March 2023

Volume

14 - 2023

Edited by

Karansher Singh Sandhu, Bayer Crop Science, United States

Reviewed by

Dinesh Kumar Saini, South Dakota State University, United States

Asish Kumar Padhy, National Institute of Plant Genome Research (NIPGR), India

Updates

Copyright

*Correspondence: Silvia Barcellos Rosa,

This article was submitted to Plant Genomics, a section of the journal Frontiers in Genetics

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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