FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4307350099> ?p ?o ?g. }

• W4307350099 abstract "Abstract Design randomizations and spatial corrections have increased understanding of genotypic, spatial, and residual effects in field experiments, but precisely measuring spatial heterogeneity in the field remains a challenge. To this end, our study evaluated approaches to improve spatial modeling using high-throughput phenotypes (HTP) via unoccupied aerial vehicle (UAV) imagery. The normalized difference vegetation index (NDVI) was measured by a multi-spectral MicaSense camera and ImageBreed. Contrasting to baseline agronomic trait spatial correction and a baseline multi-trait model, a two-stage approach that quantified NDVI local environmental effects (NLEE) was proposed. Firstly, NLEE were separated from additive genetic effects over the growing season using two-dimensional spline (2DSpl), separable autoregressive (AR1) models, or random regression models (RR). Secondly, the NLEE were leveraged within agronomic trait genomic best linear unbiased prediction (GBLUP) either modeling an empirical covariance for random effects, or by modeling fixed effects as an average of NLEE across time or split among three growth phases. Modeling approaches were tested using simulation data and Genomes-to-Fields (G2F) hybrid maize (Zea mays L.) field experiments in 2015, 2017, 2019, and 2020 for grain yield, grain moisture, and ear height. The two-stage approach improved heritability, model fit, and genotypic effect estimation compared to all baseline models. Electrical conductance and elevation from a 2019 soil survey significantly improved model fit, while 2DSpl NLEE were most correlated to the soil parameters and grain yield 2DSpl effects. Simulation of field effects demonstrated improved specificity for RR models. In summary, NLEE increased experimental accuracy and understanding of field spatio-temporal heterogeneity." @default.
• W4307350099 created "2022-10-31" @default.
• W4307350099 creator A5001644139 @default.
• W4307350099 creator A5002601487 @default.
• W4307350099 creator A5021460505 @default.
• W4307350099 creator A5022992487 @default.
• W4307350099 creator A5040406411 @default.
• W4307350099 creator A5045740147 @default.
• W4307350099 creator A5054894346 @default.
• W4307350099 creator A5068958395 @default.
• W4307350099 creator A5078307014 @default.
• W4307350099 creator A5087490227 @default.
• W4307350099 creator A5090134258 @default.
• W4307350099 date "2022-10-21" @default.
• W4307350099 modified "2023-10-04" @default.
• W4307350099 title "Spatio-temporal modeling of high-throughput multi-spectral aerial images improves agronomic trait genomic prediction in hybrid maize" @default.
• W4307350099 cites W1513618424 @default.
• W4307350099 cites W1928998639 @default.
• W4307350099 cites W1967756167 @default.
• W4307350099 cites W1974206199 @default.
• W4307350099 cites W1979841890 @default.
• W4307350099 cites W1986158404 @default.
• W4307350099 cites W1995029758 @default.
• W4307350099 cites W2007873570 @default.
• W4307350099 cites W2054907535 @default.
• W4307350099 cites W2056743864 @default.
• W4307350099 cites W2062495000 @default.
• W4307350099 cites W2064013109 @default.
• W4307350099 cites W2067715889 @default.
• W4307350099 cites W2074368295 @default.
• W4307350099 cites W2074546157 @default.
• W4307350099 cites W2080441468 @default.
• W4307350099 cites W2110345291 @default.
• W4307350099 cites W2114044285 @default.
• W4307350099 cites W2129192099 @default.
• W4307350099 cites W2145675077 @default.
• W4307350099 cites W2149992227 @default.
• W4307350099 cites W2159474015 @default.
• W4307350099 cites W2166516660 @default.
• W4307350099 cites W2166954008 @default.
• W4307350099 cites W2168036630 @default.
• W4307350099 cites W2290369781 @default.
• W4307350099 cites W2292421548 @default.
• W4307350099 cites W2302501749 @default.
• W4307350099 cites W2326982326 @default.
• W4307350099 cites W2414852797 @default.
• W4307350099 cites W2468855872 @default.
• W4307350099 cites W2495369798 @default.
• W4307350099 cites W2626765719 @default.
• W4307350099 cites W2765191230 @default.
• W4307350099 cites W2883640548 @default.
• W4307350099 cites W2886424099 @default.
• W4307350099 cites W2898415684 @default.
• W4307350099 cites W2910729333 @default.
• W4307350099 cites W2912977378 @default.
• W4307350099 cites W2952651429 @default.
• W4307350099 cites W2990812431 @default.
• W4307350099 cites W2995051770 @default.
• W4307350099 cites W3007637688 @default.
• W4307350099 cites W3025688023 @default.
• W4307350099 cites W3038300461 @default.
• W4307350099 cites W3082061074 @default.
• W4307350099 cites W3091800549 @default.
• W4307350099 cites W3099866643 @default.
• W4307350099 cites W3157077369 @default.
• W4307350099 cites W3172274991 @default.
• W4307350099 cites W3193496855 @default.
• W4307350099 cites W3197434167 @default.
• W4307350099 cites W3203535074 @default.
• W4307350099 cites W4220807198 @default.
• W4307350099 cites W4226141736 @default.
• W4307350099 doi "https://doi.org/10.1101/2022.10.18.512728" @default.
• W4307350099 hasPublicationYear "2022" @default.
• W4307350099 type Work @default.
• W4307350099 citedByCount "0" @default.
• W4307350099 crossrefType "posted-content" @default.
• W4307350099 hasAuthorship W4307350099A5001644139 @default.
• W4307350099 hasAuthorship W4307350099A5002601487 @default.
• W4307350099 hasAuthorship W4307350099A5021460505 @default.
• W4307350099 hasAuthorship W4307350099A5022992487 @default.
• W4307350099 hasAuthorship W4307350099A5040406411 @default.
• W4307350099 hasAuthorship W4307350099A5045740147 @default.
• W4307350099 hasAuthorship W4307350099A5054894346 @default.
• W4307350099 hasAuthorship W4307350099A5068958395 @default.
• W4307350099 hasAuthorship W4307350099A5078307014 @default.
• W4307350099 hasAuthorship W4307350099A5087490227 @default.
• W4307350099 hasAuthorship W4307350099A5090134258 @default.
• W4307350099 hasBestOaLocation W43073500991 @default.
• W4307350099 hasConcept C105795698 @default.
• W4307350099 hasConcept C106934330 @default.
• W4307350099 hasConcept C126322002 @default.
• W4307350099 hasConcept C137250428 @default.
• W4307350099 hasConcept C1549246 @default.
• W4307350099 hasConcept C159877910 @default.
• W4307350099 hasConcept C161890455 @default.
• W4307350099 hasConcept C168743327 @default.
• W4307350099 hasConcept C178650346 @default.
• W4307350099 hasConcept C18903297 @default.
• W4307350099 hasConcept C199360897 @default.
• W4307350099 hasConcept C25989453 @default.

• next