Examining temporal phenotypic data of genotypes promotes mapping of interactions between complex traits, changing environments, and genetic backgrounds within spatio-temporal dimensions. UAS-acquired VIs enabled the discovery of novel early quantitative phenotypic indicators of maize senescence and southern rust before being detectable by expert annotation and revealed positive correlations between grain filling time and yield (0.22 and 0.44 in 20), with practical implications for precision agricultural practices.įield-based high-throughput phenotyping (FHTP) is an emerging approach that can provide knowledge and decision-making tools to plant breeders, geneticists, agronomists, and producers 1. All eight machine learning regressions tested (ridge, lasso, elastic net, random forest, support vector machine with radial and linear kernels, partial least squares, and k-nearest neighbors) outperformed a general linear model with both higher prediction accuracies (92–98%) and lower root mean squared error (RMSE) for rust and senescence scores (linear model RMSE ranged from 65.8 to 2396.5 across all traits, machine learning regressions RMSE ranged from 0.3 to 17.0). Temporal best linear unbiased predictors (TBLUPs) were calculated using a nested model that treated hybrid performance as nested within flights in terms of rust and senescence. In total, 36 vegetation indices (VIs) were extracted from mosaicked aerial images that served as temporal phenomic predictors for southern rust scored in the field and senescence as scored using UAS-acquired mosaic images. In this study, unoccupied aerial system (UAS) field-based high-throughput phenotyping (HTP) was employed to collect high-resolution aerial imagery of elite maize hybrids planted in the 20 growing seasons, with 13 UAS flights obtained from 2020 and 17 from 2021. With the launch of SomaFM in 2000, Rusty's dream of his own station became a reality.Current methods in measuring maize ( Zea mays L.) southern rust ( Puccinia polyspora Underw.) and subsequent crop senescence require expert observation and are resource-intensive and prone to subjectivity. Many of the records in hisĬollection are now out of print and extremely hard to find. Rusty has been collecting records since the mid '70s, bought his first ambient record in the '80s, and latched ontoĮlectronic ambient music right away when it started first appearing in the early '90s. It was only natural that eventually he would start his own internet radio station. His professional experience includes work at radio stations in the Los Angeles area, developing software for broadcasters, multimedia, and founding Hodge Interactive to put radio and TV stations on the web. ![]() Managing his college radio station in the early '80s, he developed software on an Apple II for handling station playlists. ![]() Rusty got involved with computers when, while He got started in radio during high school by operating a neighborhood micropower station, and later started producingĭaily programs and making them accessible over a phone hotline. He also is the music director for Groove Salad, Secret Agent and Drone Zone, and contributes to Cliqhop. Rusty Hodge is the founder of SomaFM as well as our General Manager and Program Director. Rusty Hodge, General Manager and Program Director
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |