Originals

Mineral roads in peatlands change the nature of the substrate, influence the water table level of the peatland on either side of the road and the physicochemical characteristics of the water and peat. These changes can in turn affect plant community composition. The efficiency of an innovative and affordable method for the restoration of peatlands impacted by roads was evaluated: the Burial Under Peat Technique. To be considered effective from an ecological point of view, the technique should meet restoration goals by 1) confining the chemical elements and compounds potentially leaching from the mineral material; 2) creating and maintaining a restored surface elevation similar to the adjacent peatland for optimal rewetting; and 3) re-establishing typical peatland vegetation communities. Three years post-restoration, water sampled at various depths and distances to the buried road presented chemical elements and compounds concentrations similar to the means measured in the pristine surrounding peatland for most of the ions analyzed. The different steps of the technique ensured the reestablishment of an elevation similar to the surrounding peatland. The return of peatland plant communities was slow, mainly due to local factors (e.g., presence of drainage ditches). Furthermore, the Burial Under Peat Technique fulfilled the restoration objectives in re-establishing an acid organic soil. Finally, it is a cost-effective method in comparison to completely removing the mineral material and transporting new material to fill the depression left by the excavation of the road.

 Brassica-Plasmodiophora brassicae: a challenging pathosystem.

Clubroot is a devastating disease infecting roots of plants of the Brassicaceae family and responsible for 10–15% yield reduction on a global scale (Botero et al., 2019). The clubroot pathogen, Plasmodiophora brassicae, is an obligate intracellular biotroph that belongs to the class Phytomyxea within the eukaryote supergroup Rhizaria, one of the least studied groups of eukaryotes (Burki et al., 2010). The life cycle of P. brassicae starts in the soil, where resting spores, which can remain viable for up to 20 years, germinate in response to the presence of plant hosts and initiate primary infection. During secondary infection, susceptible plants develop galls that disrupt water and nutrient uptake, leading to wilting, stunting, and, in some instances, death of the infected plant (Dixon, 2006, 2009). The mechanisms by which the clubroot pathogen can escape plant immunity in the susceptible host and induce the root galls characteristics of the disease is still unknown (Pérez-López et al., 2018). Based on what we know about biotrophic pathogens from other evolutionary groups, effector proteins might play a key role in mediating P. brassicae pathogenicity (Jones and Dangl, 2006). Prediction of effectors based on conserved motifs has been very challenging for this pathogen, mainly because of unique features inherent to P. brassicae, including its inability to grow in axenic cultures (Chen et al., 2019; Pérez-López et al., 2020). The first P. brassicae effector characterized was Pro1, a serine protease that may play a key role in stimulating germination of P. brassicae resting spores (Feng et al., 2010). The methyltransferase PbBSMT was the second P. brassicae effector characterized (Ludwig-Müller et al., 2015), an effector that allows the pathogen to mimic regulation of salicylic acid within the susceptible host (Bulman et al., 2018; Djavaheri et al., 2019). The third and last P. brassicae effector characterized was the cysteine protease inhibitor SSPbP53, which plays a key role in protecting effectors from host apoplastic enzymes during secondary infection (Pérez-López et al., 2020, 2021). While some P. brassicae ubiquitin ligases have been functionally characterized, their role in pathogenicity has not been elucidated (Yu et al., 2019). This scarcity of information about P. brassicae effectors stresses the need to find other ways to assess more effector candidates to better understand the etiology of the clubroot pathogen. Luckily for us, the researchers aiming a better understanding of the clubroot pathogen, thale cress (Arabidopsis thaliana), the model plant in molecular biology, is susceptible to most of the P. brassicae pathotypes and its use can facilitate our search for new methodologies and the interpretation of the results.

Northern peatlands are substantial carbon sinks because organic matter in peat is highly stable due to the low rate of decomposition. Waterlogged anaerobic conditions induce accumulation of Sphagnum-derived phenolic compounds that inhibit peat organic matter decomposition, a mechanism referred to as the “enzymic latch”. Recent studies have predicted that the water table in northern peatlands may become unstable. We observed that such unstable water table levels can impede the development of Sphagnum mosses. In this study, we determined the effects of low and high frequency water table fluctuation regimes on Sphagnum growth and peat organic matter decomposition, by conducting a year-long mesocosm experiment. In addition, we conducted a molecular analysis to examine changes in abundance of fungal community which may play a key role in the decomposition of organic matter in peatlands. We found that rapid water table fluctuation inhibited the growth of Sphagnum due to fungal infection but stimulated decomposition of organic matter that may dramatically destabilize peatland carbon storage. Increased pH, induced by the fluctuation, may contribute to the enhanced activity of hydrolases in peat. We demonstrated that the water table fluctuation in peatlands impeded Sphagnum growth and accelerates decomposition due to fungal proliferation. Thus, we suggested that understanding the microbial community in the northern peatlands is essential for elucidating the possible changes in carbon cycle of peatland under the changing world.

Peatland pools present unique fauna and flora and contribute significantly to peatland biodiversity. The ecological functionality of artificial pools in restored peatlands is poorly documented. In this study, we investigated arthropod assemblages of 21 artificial pools in a restored fen in southeastern Canada and 16 pools from four pristine fens as reference ecosystems. Three years following restoration, predacious diving beetles (Coleoptera: Dytiscidae) and spiders (Araneae) were sampled within and around pools using minnow traps and pitfall traps, respectively. We used Bayesian community occupancy models to document arthropod recolonization. Twenty‐one dytiscid species were captured in pools. Dytiscid species richness was higher in artificial pools than in reference pools. Three dytiscid species were more likely to occur in deeper pools. Dytiscid species composition in artificial pools differed from reference pools. Seventy‐seven spider species were captured around pools. Spider species richness was higher around artificial pools than around reference pools. Seventeen spider species responded to vegetation cover, either positively or negatively. In contrast, spider species composition was similar between artificial and reference pools. We conclude that artificial pools should be along a gradient of pool depth, but also that fast‐growing vegetation should be introduced on pool margins to foster a quicker return of arthropod assemblages similar to reference ecosystems

"Field-acclimated Drosophila suzukii (Diptera: Drosophilidae) from the Saguenay–Lac-Saint-Jean region, Québec, Canada, were examined over two years for winter survival, under the hypothesis that flies select protected overwintering microhabitats. In 2016–2017, flies trapped alive in the field or emerged from infested fruits were submitted to four winter regimes of either constant or daily fluctuating temperatures of 5 °C (2–8 °C) or 10 °C (7–13 °C). In 2017–2018, two fluctuating regimes averaging either 1 °C (–2 to 4 °C) or 3 °C (0–6 °C) were tested. Survival was modelled using Cox proportional hazard models testing probability that mortality risk varies with cold winter regime, fly sex, and fly provenance. Hazard ratios were about 1.7 times higher for males than for females. Models indicate that flies in constant and fluctuating 10 °C, in constant 5 °C, or in fluctuating 1 °C with daily exposure to –2 °C would not survive a six-month winter. Female survival extended to the next summer in fluctuating regimes averaging 5 °C or 3 °C. Estimates of 0.95 quantile survival (5%) indicate that overwintering D. suzukii experiencing such cold temperature regimes during winter, with no prolonged sub-zero temperatures, could survive until July of the following year, which is likely at the high population densities observed."

Grain size is a key agronomic trait that contributes to grain yield in hexaploid wheat. Grain length and width were evaluated in an international collection of 159 wheat accessions. These accessions were genetically characterized using a genotyping-by-sequencing (GBS) protocol that produced 73,784 single nucleotide polymorphism (SNP) markers. GBS-derived genotype calls obtained on Chinese Spring proved extremely accurate when compared to the reference (> 99.9%) and showed > 95% agreement with calls made at SNP loci shared with the 90K SNP array on a subset of 71 Canadian wheat accessions for which both types of data were available. This indicates that GBS can yield a large amount of highly accurate SNP data in hexaploid wheat. The genetic diversity analysis performed using this set of SNP markers revealed the presence of six distinct groups within this collection. A GWAS was conducted to uncover genomic regions controlling variation for grain length and width. In total, seven SNPs were found to be associated with one or both traits, identifying three quantitative trait loci (QTLs) located on chromosomes 1D, 2D and 4A. In the vicinity of the peak SNP on chromosome 2D, we found a promising candidate gene (TraesCS2D01G331100), whose rice ortholog (D11) had previously been reported to be involved in the regulation of grain size. These markers will be useful in breeding for enhanced wheat productivity.

The objective of this study was to design, using field data, a filter to correct the soil penetration resistance (PR) values by considering all the effects (penetration friction component [PFC], varying penetration rate, and shocks) that bias PR interpretation. The data used were collected in cultivated peatlands of Montérégie (Canada) known for their advanced state of compaction. Penetration resistance (standard measurements) and cone resistance (CR) measurements (successive measurements per 10‐cm layer) were carried out on four peatlands (five stations per peatland). The filter components, a multi‐resolution analysis (AMR), a polynomial model, and a quantification and removal of PFC were identified and were used to design the filter and tested by cross‐validation. Our study showed that PFC exists (p value < 5%) and does not depend on the peatland on which the measurements are made. An average filter has therefore been designed for the entire site and its effectiveness has been demonstrated. An application to the data collected in 10 fields on the site made it possible to identify the main soil density profiles existing in Montérégie and to quantify the average PFC characterizing these soils. We noticed that, on average, PFC represents between 18.6 and 41% of the PR value. The combined results of the statistical and physical analyses of the filter made it possible to recommend degrees 2 (D2), 3 (D3), and 5 (D5) of the polynomial model to adjust density profiles of cultivated Histosols when there are no, one, or two compact layers.

Evaporation of intercepted rain by a canopy is an important component of evapotranspiration, particularly in the humid boreal forest, which is subject to frequent precipitation and where conifers have a large surface water storage capacity. Unfortunately, our knowledge of interception processes for this type of environment is limited by the many challenges associated with experimental monitoring of the canopy water balance. The objective of this study is to observe and estimate canopy storage capacity and wet canopy evaporation at the sub-daily and seasonal time scales in a humid boreal forest. This study relies on field-based estimates of rainfall interception and evapotranspiration partitioning at the Montmorency Forest, Québec, Canada (mean annual precipitation: 1600 mm, mean annual evapotranspiration: 550 mm), in two balsam fir-white birch forest stands. Evapotranspiration was monitored using eddy covariance sensors and sap flow systems, whereas rainfall interception was measured using 12 sets of throughfall and six stemflow collectors randomly placed inside six 400-m2 plots. Changes in the amount of water stored on the canopy were also directly monitored using the stem compression method. The amount of water intercepted by the forest canopy was 11 ± 5% of the total rainfall during the snow-free (5 July–18 October) measurement periods of 2017 and 2018. The maximum canopy storage estimated from rainfall interception measurements was on average 1.6 ± 0.7 mm, though a higher value was found using the stem compression method (2.2 ± 1.6 mm). Taking the average of the two forest stands studied, evaporation of intercepted water represented 21 ± 8% of evapotranspiration, while the contribution of transpiration and understory evapotranspiration was 36 ± 9% and 18 ± 8%. The observations of each of the evapotranspiration terms underestimated the total evapotranspiration observed, so that 26 ± 12% of it was not attributed. These results highlight the importance to account for the evaporation of rain intercepted by humid boreal forests in hydrological models.

Organic growers rely heavily on manure additions to meet corn (Zea mays L.) nitrogen (N) needs. Considering the limited availability of farmyard manure and its increasing cost, the use of cover crop mixtures may help in addressing this challenge. The impact of fall-seeded cover crops with or without pelletized poultry manure application on corn yield and N dynamics was investigated at three sites in Québec, Canada. Cover crop treatments consisted of field pea (Pisum sativum L.) in a pure stand, 2-, 6- and 12-species pea-based mixtures, and a weedy control without cover crops. Nitrogen content of shoot cover crop biomass was the greatest for the pure stand of field pea at Augustin17 (157 kg N ha-1), and for the pure stand of field pea and the 2-species mixture at Augustin18 (average of 109 kg N ha–1) and Barthelemy17 (average of 171 kg N ha–1). Nitrogen content of root biomass averaged 13 kg N ha–1. Cover crops increased organic corn grain yield by 28% compared to a weedy control. Corn grain yield was similar following the pure stand of field pea and the mixtures of 2 and 12 species, showing no clear advantage of using mixtures instead of a pure stand of field pea regarding N supply and corn yield. Corn yield increased by 10% with poultry manure application irrespective of the cover crop treatments. These results indicate that the use of cover crops, either a pure legume or legume in mixture, could contribute to organic grain corn yield.

Pseudozyma flocculosa is an epiphytic yeast with powerful antagonistic activity against powdery mildews. This activity has been associated with the production of a rare antifungal glycolipid, flocculosin. In spite of the discovery of a specific gene cluster for flocculosin synthesis, attempts to ascribe a functional role to the molecule have been hampered by the inability to efficiently transform P. flocculosa. In this study, two different approaches, target gene replacement by homologous recombination (HR) and CRISPR-Cas9 based genome-editing, were utilized to decipher the role of flocculosin in the biocontrol activity of P. flocculosa. It was possible to alter the production of flocculosin through edition of fat1 by HR, but such mutants displayed abnormal phenotypes and the inability to produce sporidia. Sequencing analyses revealed that transformation by HR led to multiple insertions in the genome explaining the pleiotrophic effects of the approach. On the other hand, CRISPR-Cas9 transformation yielded one mutant that was altered specifically in the proper synthesis of flocculosin. Notwithstanding the loss of flocculosin production, such mutant was phenotypically similar to the wild-type, and when tested for its biocontrol activity against powdery mildew, displayed the same efficacy. These results offer strong evidence that flocculosin-mediated antibiosis is not responsible for the mode of action of P. flocculosa and highlight the potential of CRISPR-Cas9 for functional studies of otherwise difficult-to-transform fungi such as P. flocculosa.

Studies on structural variation in plants have revealed the inadequacy of a single reference genome for an entire species and suggest that it is necessary to build a species‐representative genome, called a pan‐genome to better capture the extent of both structural and nucleotide variation. Here, we present a pan‐genome of cultivated soybean (Glycine max), termed PanSoy, constructed using the de novo genome assembly of 204 phylogenetically and geographically representative improved accessions selected from the larger GmHapMap collection. PanSoy uncovers 108 Mb (~11%) of novel nonreference sequences encompassing 3,621 protein‐coding genes (including 1,659 novel genes) absent from the soybean “Williams 82” reference genome. Nonetheless, the core genome represents an exceptionally large proportion of the genome, with >90.6% of genes being shared by >99% of the accessions. A majority of PAVs encompassing genes could be confirmed with long‐read sequencing on a subset of accessions. The PanSoy is a major step towards capturing the extent of genetic variation in cultivated soybean and provides a resource for soybean genomics research and breeding.

One of the roles of Land Surface Models (LSMs) is to partition evapotranspiration (E) into overstory transpiration (ET), understory evapotranspiration (EG), and wet canopy evaporation (EC). Unfortunately, only a handful of studies have evaluated the performance of LSMs with E partitioning. Unlike dry canopies which are dominated by transpiration, wet canopies lead to the evaporation of intercepted water. In this respect, there is no better testing site for LSMs than the humid boreal forest, which is characterized by frequent precipitation and sustained evapotranspiration. This study assesses the performance of the Canadian Land Surface Scheme (CLASS) in simulating evapotranspiration and its components by applying detailed observations of water pathways and residence times in a forest canopy using a variety of methods (eddy covariance; sap flow, throughfall and stemflow measurements; and the stem compression approach). The study site was located in Montmorency Forest in Qu´ebec, Canada, a balsam fir boreal forest with ≈ 1600 mm of annual precipitation. The field campaign was conducted during the summers of 2017 and 2018. To improve the accuracy of the simulations, we adjusted the definition of maximum canopy water storage, S = c × LAI, by using c = 0.49 mm instead of the default value of 0.20 mm. This simple modification improved the performance of CLASS when simulating components of evapotranspiration, indicated by the increase in the modified Kling-Gupta efficiency (KGE′ ) with rises between 0.01 and 0.23. Overall, CLASS performed well in simulating evapotranspiration and overstory transpiration in dry canopy conditions at half-hourly time steps with KGE′ values between 0.67 and 0.81. The contribution of simulated ET, EG, and EC to total E during the two sampling periods were 46%, 24%, and 30%, respectively, which were comparable with the field observations (35%, 22%, and 25%, respectively). In conclusion, CLASS was able to simulate E partitioning in dry and wet canopy conditions reasonably well at both seasonal and halfhourly time scales.

Soil organic carbon (SOC) has a significant effect on the carbon cycle, playing a vital role in environmental services and crop production. Increasing SOC stock is identified as an effective way to improve carbon dioxide sequestration, soil health, and plant productivity. Knowing soil water is one of the primary SOC decomposition driver, periods in the crops growth stages with increased water movement might influence the SOC dynamics. Here, we evaluate the temporal effect of four precision irrigation thresholds (−15, −30, −45, and −60 kPa) in potato crop on SOC dynamics using the Partial Least Square algorithm and the Tea Bag Index in a sandy soil under potato production. The difference of SOC decomposition rate between the precision irrigation thresholds is developed in the second quarter of the growing season, between 38 and 53 days after planting. This critical period occurred in a stage of strong vegetative growth and rapid irrigation cycles. The precision irrigation threshold affected the decomposition rate of SOC. A faster decomposition of labile organic carbon was promoted by water excess (−15 kPa). The dryer (−30, −45, and −60 kPa) precision irrigation thresholds did not show any differences. The advancement of this knowledge may promote soil health conservation and carbon sequestration in agricultural soil.

Renewable materials including coir, biochar and composts are investigated worldwide in the horticultural industry to partially substitute peat in growing media. In this study, we assessed the effects of biochar and vermicompost as partial substitution of peat, and compared these peat-based growing media with coir in terms of NH4+-N and NO3--N content, CO2-C and N2O-N emissions and their microbial biomass carbon (MBC) and nitrogen (MBN). Six growing media mixtures (peat; peat+biochar 9:1 v/v; peat+vermicompost 9:1 v/v; coir; coir+biochar 9:1 v/v; coir+vermicompost 9:1 v/v) replicated three times were incubated in growth chambers during a 60-days period. At day 0 of incubation (DAI), peat amended with biochar retained around 12.81% of NH4+-N compared with peat alone. The concentrations of NO3--N peaked at 275 mg kg–1 at 33 DAI for peat and 552 mg kg–1 at 46 DAI for coir amended with vermicompost. The substitution of peat with biochar resulted in large CO2-C (2070 µg CO2-C g–1 dry weight (dw)) and N2O-N (62.78 µg N2O-N g–1 dw) emissions, but not coir. The substitution of coir with vermicompost increased N2O-N emissions at a much lower level (47.53 µg N2O-N g–1 dw) than peat (111.82 µg N2O-N g–1 dw). Our results showed that supplements of vermicompost in peat and coir improved N supply which could benefit plant growth, while substituting part of peat with biochar increased CO2-C and N2O-N emissions. In contrast, no effect of biochar was observed with coir, which is beneficial for the environmental footprint of short-cycle growing crops

Genome‐wide association studies (GWAS) have revolutionized the investigation of complex traits over the past decade and have unveiled numerous useful genotype–phenotype associations. To be comprehensive, GWAS can require identifying and genotyping hundreds of thousands to millions of genome‐wide genetic markers in large panels of accessions (Gupta et al., 2019). Similarly, many advances in crop genomics are closely tied to technological developments in next‐generation sequencing (NGS). In general, NGS‐based genotyping methods are classified in three categories, namely whole‐genome re‐sequencing (WGRS), SNP arrays, and reduced‐representation sequencing (RRS; e.g. genotyping‐by‐sequencing (GBS)). While SNP arrays (e.g. SoySNP50K) and GBS are popular genotyping methods in many crop species, they often provide an insufficient number of markers for fine mapping and high‐resolution GWAS studies (Patil et al. 2016), especially when highly diverse sets of accessions need to be characterized. In contrast, WRGS can generate high‐density genome‐wide genotyping data but, when performed on a large scale (thousands of samples), it can prove quite costly.

Increasing the understanding genetic basis of the variability in root system architecture (RSA) is essential to improve resource-use efficiency in agriculture systems and to develop climate-resilient crop cultivars. Roots being underground, their direct observation and detailed characterization are challenging. Here, were characterized twelve RSA-related traits in a panel of 137 early maturing soybean lines (Canadian soybean core collection) using rhizoboxes and two-dimensional imaging. Significant phenotypic variation (P < 0.001) was observed among these lines for different RSA-related traits. This panel was genotyped with 2.18 million genome-wide single-nucleotide polymorphisms (SNPs) using a combination of genotyping-by-sequencing and whole-genome sequencing. A total of 10 quantitative trait locus (QTL) regions were detected for root total length and primary root diameter through a comprehensive genome-wide association study. These QTL regions explained from 15 to 25% of the phenotypic variation and contained two putative candidate genes with homology to genes previously reported to play a role in RSA in other species. These genes can serve to accelerate future efforts aimed to dissect genetic architecture of RSA and breed more resilient varieties.