Switchgrass is a prominent bioenergy crop. Like most perennial warm season species, switchgrass undergoes growth suspension in winter as a surviving strategy in temperate climates to protect their meristems from cold injuries and dehydration, while storage organs below ground drive spring regrowth when conditions become favourable. In this paper, we describe a reliable phenotyping method for winter dormancy in switchgrass using various traits including regrowth height after clipping in early fall (FRH), senescence percentage, date of spring regrowth (SRD), and flowering date (FD). FRH and senescence percentage appear to be reliable indicators of the onset of winter dormancy, whereby accessions that initiated dormancy early have a low FRH and a high senescence percentage. Even though it is difficult to have an exact assessment of the duration of dormancy because it is hard to determine with precision the date of growth suspension, SRD can be used as a surrogate indicator of the duration. Flowering date showed low correlations with all the traits and biomass yield suggesting that it may not be a reliable indicator for winter dormancy in switchgrass. Combining the variables FRH, senescence, and SRD in a selection index may provide a reliable tool to phenotype winter dormancy in switchgrass. The strong correlation of these variables with biomass yield makes them useful candidates for the manipulation of the duration of dormancy to increase the growing season and consequently improving biomass production. In southern regions with mild winters, it might be possible through intense selection to develop germplasm with much reduced dormancy or even non-dormant switchgrass germplasm.
Seasonal dormancy is an adaptive mechanism where plants suspend growth and become physiologically inactive to avoid extreme environmental conditions. Environmental factors like temperature, photoperiod, nutrients, and soil moisture control plant growth and development through various complex molecular mechanisms. Crown and seed dormancy of plants are mostly influenced by day length and temperature. Genes and physiological pathways triggered by these two factors along with genotype variability are some targets to manipulate seasonal dormancy. There is genetic variation in the depth and duration of seasonal dormancy. Therefore, their genetic manipulation is possible. Manipulations of summer and fall dormancy are relatively easier compared to winter dormancy because plants require protection of their apical meristem from freezing temperatures and limited water supply. Genetic factors that regulate seed dormancy may also have regulatory role for seasonal dormancy of the maternal plants. Limited genetic and genomic information are available for seasonal dormancy in herbaceous perennial species. Knowledge of genes controlling seasonal dormancy of eudicots, forest trees, and horticultural crops could be interpolated to explore possible dormancy mechanisms in perennial forages. This study reviews current knowledge of seasonal dormancy of herbaceous forages emphasizing the genetic and physiological context that would be valuable to breeders and plant biologists to expand the production season of perennial species by developing non-dormant and semi-dormant cultivars.
Background Switchgrass (Panicum virgatum) undergoes winter dormancy by sensing photoperiod and temperature changes. It transitions to winter dormancy in early fall following at the end of reproduction and exits dormancy in the spring. The duration of the growing season affects the accumulation of biomass and yield. In this study, we conducted QTL mapping of winter dormancy measured by fall regrowth height (FRH) and normalized difference vegetation index (NDVI), spring emergence (SE), and flowering date (FD) in two bi-parental pseudo-F1 populations derived from crosses between the lowland AP13 with the lowland B6 (AB) with 285 progenies, and the lowland B6 with the upland VS16 (BV) with 227 progenies. Results We identified 18 QTLs for FRH, 18 QTLs for NDVI, 21 QTLs for SE, and 30 QTLs for FD. The percent variance explained by these QTLs ranged between 4.21–23.27% for FRH, 4.47–24.06% for NDVI, 4.35–32.77% for SE, and 4.61–29.74% for FD. A higher number of QTL was discovered in the BV population, suggesting more variants in the lowland x upland population contributing to the expression of seasonal dormancy underlying traits. We identified 9 regions of colocalized QTL with possible pleiotropic gene action. The positive correlation between FRH or NDVI with dry biomass weight suggests that winter dormancy duration could affect switchgrass biomass yield. The medium to high heritability levels of FRH (0.55–0.64 H2) and NDVI (0.30–0.61 H2) implies the possibility of using the traits for indirect selection for biomass yield. Conclusion Markers found within the significant QTL interval can serve as genomic resources for breeding non-dormant and semi-dormant switchgrass cultivars for the southern regions, where growers can benefit from the longer production season.
Background: Switchgrass is an emerging bioenergy crop due to its perennial nature, high biomass yield, and ability to grow in marginal land. The high genetic diversity in switchgrass germplasm can be exploited to capture favorable traits that increase the range of adaptation and biomass yield. Genetic diversity can be explored using single nucleotide polymorphisms (SNPs) that next-generation sequencing has made possible for high-throughput genotyping. We used genotyping-by-sequencing (GBS) of genomic fragments resulting from two methylation sensitive restriction enzymes: PstI and MspI . Two bi-parental F1 populations were developed from crosses between lowland B6 and lowland AP13 (AB population), and lowland B6 with upland VS16 genotypes (BV population), with a target number of 298 progenies in each population. Pseudo-testcross strategy was adopted to perform linkage analysis in these populations that are segregating for winter dormancy using single dose markers (SDA): heterozygous in one parent and homozygous in the other parent. We compared the amount of polymorphisms between the two crosses and examined the pattern of segregation distortion based on the SNPs data generated. Results: Two genetic maps were generated for each population, with 2772 markers in AB and 3766 markers in BV. The higher number of markers in the BV population was expected for since the parents originated from different ecotypes and verified to have the highest genetic distance. More segregation distortion was observed in markers located in the telomeric regions where more genes reside. More markers from the AB population exhibited segregation distortion compared to the BV, and the proportion of heterozygous alleles were significantly higher than homozygous alleles in AB population. The linkage maps showed strong collinearity with P. virgatum V5.1 reference genome with a very minimal number of markers originating from different chromosomes. Conclusion: Understanding the extent of segregation distortion in switchgrass crosses is important for the correct inclusion of markers based on their segregation ratio when constructing a linkage map. Switchgrass linkage maps should be a useful resource to dissect beneficial biomass traits linked to SNP markers.
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