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77 results for “switchgrass”
Dataset for manuscript entitled: Switchgrass cropping systems affect soil carbon and nitrogen and microbial diversity and activity on marginal lands
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Cold acclimation threshold induction temperatures of switchgrass ecotypes grown under a long and short photoperiod
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Switchgrass and Miscanthus long-term yield across Michigan and Wisconsin
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Data for: Local adaptation of switchgrass drives trait relations to yield and differential responses to climate and soil environments
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Alamo x Kanlow genotypic and phenotypic data for biomass yield and yield-related traits in lowland switchgrass (Panicum virgatum L.) crosses
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Agricultural management legacy effects on switchgrass growth and soil carbon gains
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Switchgrass metabolomics reveals striking genotypic and developmental differences in specialized metabolic phenotypes
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Data from: Plant community response to switchgrass (Panicum virgatum) population source in establishing prairies
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Switchgrass sward establishment selection is across multiple environments and fertilization levels
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Uncertainties in greenhouse gas emission factors: A comprehensive analysis of switchgrass-based biofuel production
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Data from: Identification of anti-fungal bioactive terpenoids from the bioenergy crop switchgrass (Panicum virgatum)
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Integrating perennial biomass crops into crop rotations: How to remove miscanthus and switchgrass without glyphosate
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QTL × environment interactions underlie adaptive divergence in switchgrass across a large latitudinal gradient
Local adaptation is the process by which natural selection drives adaptive phenotypic divergence across environmental gradients. Theory suggests that local adaptation results from genetic trade-offs at individual genetic loci, where adaptation to one set of environmental conditions results in a cost to fitness in alternative environments. However, the degree to which there are costs associated with local adaptation is poorly understood because most of these experiments rely on two-site reciprocal transplant experiments. Here, we quantify the benefits and costs of locally adaptive loci across 17° of latitude in a four-grandparent outbred mapping population in outcrossing switchgrass (Panicum virgatumL.), an emerging biofuel crop and dominant tallgrass species. We conducted quantitative trait locus (QTL) mapping across 10 sites, ranging from Texas to South Dakota. This analysis revealed that beneficial biomass (fitness) QTL generally incur minimal costs when transplanted to other field sites distributed over a large climatic gradient over the 2 y of our study. Therefore, locally advantageous alleles could potentially be combined across multiple loci through breeding to create high-yielding regionally adapted cultivars.
Data from: Switchgrass rhizosphere metabolite chemistry driven by nitrogen availability
<p>Plants and soil microorganisms interact closely in the rhizosphere where plants may exchange carbon (C) for functional benefits from the microbial community. For example, the bioenergy crop, switchgrass (<i>Panicum virgatum</i>) is thought to exchange root-exuded C for nitrogen (N) fixed by diazotrophs (free-living N-fixers). However, this interaction is not well characterized and it is not known how or if switchgrass responds to diazotrophs or their activity. To explore this question, we assessed rhizosphere metabolite chemistry of switchgrass grown in a hydroponic system under two N levels and under inoculated or uninoculated conditions. Plants were grown with the inoculum <i>Azotobacter vinelandii</i> DJ for three days before harvest. We found switchgrass root exudate chemistry to be driven by N availability. Total metabolite concentrations were generally greater under high N versus low N and unaffected by inoculation. Examination of rhizosphere chemical fingerprints indicates metabolite chemistry was also driven strongly by N availability with a greater relative abundance of carbohydrates under high N and greater relative abundance of organic acids under low N. We also found evidence of changes in rhizosphere chemical fingerprints by inoculation treatment. However, we found little evidence of N treatment and inoculation interaction effects which suggests this response is not directly mediated by N availability.</p>
Data from: Population genomic variation reveals roles of history, adaptation, and ploidy in switchgrass
Geographic patterns of genetic variation are shaped by multiple evolutionary processes, including genetic drift, migration, and natural selection. Switchgrass (Panicum virgatum L.) has strong genetic and adaptive differentiation despite life history characteristics that promote high levels of gene flow and can homogenize intraspecific differences, such as wind-pollination and self-incompatibility. To better understand how historical and contemporary factors shape variation in switchgrass, we use genotyping-by-sequencing to characterize switchgrass from across its range at 98,042 SNPs. Population structuring reflects biogeographic and ploidy differences within and between switchgrass ecotypes and indicates that biogeographic history, ploidy incompatibilities, and differential adaptation each have important roles in shaping ecotypic differentiation in switchgrass. At one extreme, we determine that two Panicum taxa are not separate species but are actually conspecific, ecologically divergent types of switchgrass adapted to the extreme conditions of coastal sand dune habitats. Conversely, we identify natural hybrids among lowland and upland ecotypes and visualize their genome-wide patterns of admixture. Furthermore, we determine that genetic differentiation between primarily tetraploid and octoploid lineages is not caused solely by ploidy differences. Rather, genetic diversity in primarily octoploid lineages is consistent with a history of admixture. This suggests that polyploidy in switchgrass is promoted by admixture of diverged lineages, which may be important for maintaining genetic differentiation between switchgrass ecotypes where they are sympatric. These results provide new insights into the mechanisms shaping variation in widespread species and provide a foundation for dissecting the genetic basis of adaptation in switchgrass.
FIGURES 17−21 in Descriptions of life-stages of Blastobasis repartella (Lepidoptera: Gelechioidea: Coleophoridae: Blastobasinae) and observations on its biology in switchgrass
FIGURES 17−21. Chaetotaxal maps and right mandible of Blastobasis repartella. 17, thorax, lateral view; 18, thorax, dorsal view; 19, A1−A2, lateral view; 20, right mandible, inner view; 21, A6−A10, lateral view.
FIGURES 2−5 in Descriptions of life-stages of Blastobasis repartella (Lepidoptera: Gelechioidea: Coleophoridae: Blastobasinae) and observations on its biology in switchgrass
FIGURES 2−5. Wing venation and male genitalia of Blastobasis repartella. 2−3, venation of forewing and hindwing; 4, genital capsule; 5, phallus.
FIGURES 24−29 in Descriptions of life-stages of Blastobasis repartella (Lepidoptera: Gelechioidea: Coleophoridae: Blastobasinae) and observations on its biology in switchgrass
FIGURES 24−29. Habitat, larva, damage, pupa, and male adults of Blastobasis repartella. 24, switchgrass plots on the Aurora Farm in South Dakota; 25, arrow pointing to dead tiller of switchgrass plant caused by stem-boring larva of B. repartella; 26, larva in proaxis of switchgrass plant; 27, pupa within stem of switchgrass; 28, cages placed in switchgrass plots in South Dakota; 29, males of Blastobasis repartella congregated on screen of field cages containing calling females.
FIGURES 7−12 in Descriptions of life-stages of Blastobasis repartella (Lepidoptera: Gelechioidea: Coleophoridae: Blastobasinae) and observations on its biology in switchgrass
FIGURES 7−12. Scanning electron micrographs of larva of Blastobasis repartella. 7, head, frontal view; scale = 100 µm; 8, head, anterodorsal view; scale = 100 µm; 9, head, frontolateral view; scale = 100 µm; 10, head, ventral view; scale = 100 µm; 11, apical sensilla of left maxillary palpus; A2 = sensillum styloconicum; A1, A3, M1, M2, L1, L2, L3 = sensilla basiconica; SD = sensillum digitiform; scale = 100 µm; 12, apical sensilla of left antenna; 1 = sensilla basiconica, 2 = sensilla chaetica, 3 = sensillum styloconicum, 4 = sensullum trichodeum; scale = 100 µm.
FIGURES 22−23 in Descriptions of life-stages of Blastobasis repartella (Lepidoptera: Gelechioidea: Coleophoridae: Blastobasinae) and observations on its biology in switchgrass
FIGURES 22−23. Pupa of Blastobasis repartella. 22, ventral view; 23, lateral view ("maxilla is proboscis).
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.