Improving predictive ability in sparse testing designs in soybean populations.
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| Title: | Improving predictive ability in sparse testing designs in soybean populations. |
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| Authors: | Persa R; Agronomy Department, University of Florida, Gainesville, FL, United States., Canella Vieira C; Crop, Soil, and Environmental Sciences, Bumpers College, University of Arkansas, Fayetteville, AR, United States., Rios E; Agronomy Department, University of Florida, Gainesville, FL, United States., Hoyos-Villegas V; Department of Plant Science, McGill University, Montreal, QC, Canada., Messina CD; Horticultural Sciences Department, University of Florida, Gainesville, FL, United States., Runcie D; Department of Plant Sciences, University of California Davis, Davis, CA, United States., Jarquin D; Agronomy Department, University of Florida, Gainesville, FL, United States. |
| Source: | Frontiers in genetics [Front Genet] 2023 Nov 23; Vol. 14, pp. 1269255. Date of Electronic Publication: 2023 Nov 23 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1664-8021 |
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| DOI: | 10.3389/fgene.2023.1269255 |
