Miscanthus: Genetic Resources and Breeding Potential to Enhance Bioenergy Production

Vermerris, Wilfred

doi:10.1007/978-0-387-70805-8_10

Cited by 24 publications

(8 citation statements)

References 45 publications

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“…On sandy soils, yields of M. x giganteus were lower than 5 t.ha −1 [47], Scharwz and J. Greef, pers. comm reported by Vermerris [50]. This was the finding at the Chanteloup site (shallow sandy soil with a maximum soil water capacity of 149 mm and rainfall lower than 400 mm) where M. sinensis obtained higher yields than M. x giganteus.…”

Section: What Perspectives For Genotype Choice For a Given Environment Crop Management And Plant Breeding?supporting

confidence: 63%

Identifying Factors Explaining Yield Variability of Miscanthus x giganteus and Miscanthus sinensis Across Contrasting Environments: Use of an Agronomic Diagnosis Approach

Ouattara

Laurent

Berthou³

et al. 2021

Bioenerg. Res.

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Miscanthus is a perennial C4 crop whose lignocellulose can be used as an alternative to the production of biosourced material. Miscanthus x giganteus (M. x giganteus) has demonstrated high maximum yields but also high yield variability across farmers’ fields. Miscanthus sinensis (M. sinensis) can be an alternative to M. x giganteus because it is considered to be more tolerant to water stress and to produce more stable yields. This study aimed to identify the main factors explaining the variability of yields across site-years for M. x giganteus and M. sinensis. A multi-local and multi-year trial network was set up in France (Ile de France and Center regions). Four treatments were established on seven sites, from spring 2013 to winter 2019: at each site, two treatments of M. x giganteus (a treatment from rhizome and a treatment from rhizome-derived plantlets) and two treatments of M. sinensis (a treatment from seed-derived plantlets established in single density and a treatment from seed-derived plantlets established in double density). We experienced 5 years of harvest because miscanthus was not harvested in 2014. First, we characterized yield variations across site-years for both genotypes. Second, we defined and calculated a set of indicators (e.g., water stress indicator, sum of degree-days of the previous year, number of frost days) that could affect miscanthus yields. Finally, we performed a mixed model with re-sampling to identify the main indicators that explained yield variability for each genotype specifically. Results showed that water stress and crop age mainly explained yield variability for both genotypes. M. sinensis yields were also affected by the sum of degree-days of the previous year of growth. Hence, genotype choice must take into account environmental characteristics. M. sinensis could indeed achieve higher and more stable yields than those of M. x giganteus in shallow sandy soils or in locations with a higher risk of low rainfall.

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Section: What Perspectives For Genotype Choice For a Given Environment Crop Management And Plant Breeding?supporting

confidence: 63%

Identifying Factors Explaining Yield Variability of Miscanthus x giganteus and Miscanthus sinensis Across Contrasting Environments: Use of an Agronomic Diagnosis Approach

Ouattara

Laurent

Berthou³

et al. 2021

Bioenerg. Res.

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“…This information is needed for managers to gauge risk and make informed management decisions, but data are often lacking. Most research on genetic diversity in grass species has been undertaken on those of agricultural importance (Buckler, Thornsberry, & Kresovich, 2001) such as wheat, corn, rice and sorghum, or those that are being developed for biofuels such as switchgrass ( Panicum— Casler, Stendal, Kapich, & Vogel, 2007; Harrison, Gornish, & Copeland, 2015) and sugarcane ( Miscanthus —Vermerris, 2008). While research on species such as switchgrass have provided valuable insights into natural patterns of genetic diversity, adaptation across gradients and the role ploidy plays between these lines of enquiry (Grabowski, Morris, Casler, & Borevitz, 2014; Lowry et al., 2014, 2019; Morris, Grabowski, & Borevitz, 2011;), detailed genomic knowledge is needed for other ecologically important grasses, similar to the emerging example of Andropogon gerardii (Galliart et al., 2019; Gray et al., 2014; Johnson et al., 2015).…”

Section: Introductionmentioning

confidence: 99%

Spatial, climate and ploidy factors drive genomic diversity and resilience in the widespread grass Themeda triandra

et al. 2020

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Global climate change poses a significant threat to natural communities around the world, with many plant species showing signs of climate stress. Grassland ecosystems are not an exception, with climate change compounding contemporary pressures such as habitat loss and fragmentation. In this study, we assess the climate resilience of Themeda triandra, a foundational species and the most widespread plant in Australia, by assessing the relative contributions of spatial, environmental and ploidy factors to contemporary genomic variation. Reduced-representation genome sequencing on 472 samples from 52 locations was used to test how the distribution of genomic variation, including ploidy polymorphism, supports adaptation to hotter and drier climates. We explicitly quantified isolation by distance (IBD) and isolation by environment (IBE) and predicted genomic vulnerability of populations to future climates based on expected deviation from current genomic composition. We found that a majority (54%) of genomic variation could be attributed to IBD, while an additional 22% (27% when including ploidy information) could be explained by two temperature and two precipitation climate variables demonstrating IBE. Ploidy polymorphisms were common within populations (31/52 populations), indicating that ploidy mixing is characteristic of T. triandra populations. Genomic vulnerabilities were found to be heterogeneously distributed throughout the landscape, and our analysis suggested that ploidy polymorphism, along with other factors linked to polyploidy, reduced vulnerability to future climates by 60% (0.25-0.10). Our data suggests that polyploidy may facilitate adaptation to hotter climates and highlight the importance of incorporating ploidy in adaptive management strategies to promote the resilience of this and other foundation species.

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“…Many regions of Australia that support grasslands are becoming warmer, drier and increasingly fire prone under climate change, highlighting the importance of preserving genetic diversity and evolutionary potential (Dunlop et al , 2012). However, most research on genetic diversity in grass species has generally been undertaken on those of agricultural importance (Buckler et al , 2001) such as wheat, corn, rice, and sorghum, or those that are being developed for biofuels such as switchgrass ( Panicum – Casler et al , 2007; Harrison et al , 2015) and sugarcane ( Miscanthus – Vermerris, 2008). While research on species such as switchgrass have provided valuable insights into natural patterns of genetic diversity, adaptation across gradients, and the role ploidy plays between these lines of enquiry (Morris et al , 2011; Lowry et al , 2014, 2019; Grabowski et al , 2014), major gaps in knowledge for other ecologically important grasses persist and continue to inhibit effective conservation management.…”

Section: Introductionmentioning

confidence: 99%

Spatial, climate, and ploidy factors drive genomic diversity and resilience in the widespread grassThemeda triandra

Ahrens

James

Miller

et al. 2019

Preprint

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24•Fragmented grassland ecosystems, and the species that shape them, are under immense pressure. 25Restoration and management strategies should include genetic diversity and adaptive capacity to 26 improve success but these data are generally unavailable. Therefore, we use the foundational grass, 27Themeda triandra, to test how spatial, environmental, and ploidy factors shape patterns of genetic 28 variation. 29 30•We used reduced-representation genome sequencing on 487 samples from 52 locations to answer 31 fundamental questions about how the distribution of genomic diversity and ploidy polymorphism 32 supports adaptation to harsher climates. We explicitly quantified isolation-by-distance (IBD), 33isolation-by-environment (IBE), and predicted population genomic vulnerability in 2070. 34 35 2 •We found that a majority (54%) of the genomic variation could be attributed to IBD, while 22% of 36 the genomic variation could be explained by four climate variables showing IBE. Results indicate 37 that heterogeneous patterns of vulnerability across populations are due to genetic variation, multiple 38 climate factors, and ploidy polymorphism, which lessened genomic vulnerability in the most 39 susceptible populations. 40 41•These results indicate that restoration and management of T. triandra should incorporate knowledge 42 of genomic diversity and ploidy polymorphisms to increase the likelihood of population persistence 43 and restoration success in areas that will become hotter and more arid. 44 45

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Miscanthus: Genetic Resources and Breeding Potential to Enhance Bioenergy Production

Cited by 24 publications

References 45 publications

Identifying Factors Explaining Yield Variability of Miscanthus x giganteus and Miscanthus sinensis Across Contrasting Environments: Use of an Agronomic Diagnosis Approach

Identifying Factors Explaining Yield Variability of Miscanthus x giganteus and Miscanthus sinensis Across Contrasting Environments: Use of an Agronomic Diagnosis Approach

Spatial, climate and ploidy factors drive genomic diversity and resilience in the widespread grass Themeda triandra

Spatial, climate, and ploidy factors drive genomic diversity and resilience in the widespread grassThemeda triandra

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