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Federal
Data from: Efficient imaging and computer vision detection of two cell shapes in young cotton fibers
Department of Agriculture —
Methods Cotton plants were grown in a well-controlled greenhouse in the NC State Phytotron as described previously (Pierce et al, 2019). Flowers were tagged on the... -
Federal
Data from: Responses to environmental variability by herbivorous insects and their natural enemies within a bioenergy crop, Miscanthus x giganteus
Department of Agriculture —
Description: This dataset consists of field data (arthropods, nematodes and NDVI) collected over the course of 6 field excursions in 2015 and 2016 near TyTy, GA, in a... -
Federal
Data from: UAS imagery protocols to map vegetation are transferable between dryland sites across an elevational gradient
Department of Agriculture —
This dataset consists of point intercept data, sampled with a point frame, from three 1 ha sites along an elevation and precipitation gradient within Reynolds Creek... -
Federal
Data from: The proportion of narrow fibers during early development predicts the diameter, fineness, and other quality traits of mature cotton fiber (<i>Gossypium</i> spp.)
Department of Agriculture —
Cotton growth and samplingIn 2020, 161 historical Gh cotton accessions, along with 2 Gb accessions as comparators, were grown in an unirrigated field at the Sandhills...