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| Hauptseite > Publikationsdatenbank > An Analysis of Soil Coring Strategies to Estimate Root Depth in Maize (Zea mays) and Common Bean (Phaseolus vulgaris) > print |
| Hauptseite > Publikationsdatenbank > An Analysis of Soil Coring Strategies to Estimate Root Depth in Maize (Zea mays) and Common Bean (Phaseolus vulgaris) > print |
| 001 | 888607 | ||
| 005 | 20211130111057.0 | ||
| 024 | 7 | _ | |a 10.34133/2020/3252703 |2 doi |
| 024 | 7 | _ | |a 2128/26522 |2 Handle |
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| 037 | _ | _ | |a FZJ-2020-05063 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 580 |
| 100 | 1 | _ | |a Burridge, James D. |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a An Analysis of Soil Coring Strategies to Estimate Root Depth in Maize (Zea mays) and Common Bean (Phaseolus vulgaris) |
| 260 | _ | _ | |a Washington, D.C. |c 2020 |b American Association for the Advancement of Science |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1607953700_17288 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a A soil coring protocol was developed to cooptimize the estimation of root length distribution (RLD) by depth and detection offunctionally important variation in root system architecture (RSA) of maize and bean. The functional-structural modelOpenSimRoot was used to perform in silico soil coring at six locations on three different maize and bean RSA phenotypes.Results were compared to two seasons of field soil coring and one trench. Two one-sided T-test (TOST) analysis of in silico datasuggests a between-row location 5 cm from plant base (location 3), best estimates whole-plot RLD/D of deep, intermediate, andshallow RSA phenotypes, for both maize and bean. Quadratic discriminant analysis indicates location 3 has ~70% categorizationaccuracy for bean, while an in-row location next to the plant base (location 6) has ~85% categorization accuracy in maize.Analysis of field data suggests the more representative sampling locations vary by year and species. In silico and field studiessuggest location 3 is most robust, although variation is significant among seasons, among replications within a field season, andamong field soil coring, trench, and simulations. We propose that the characterization of the RLD profile as a dynamic rhizocanopy effectively describes how the RLD profile arises from interactions among an individual plant, its neighbors, and thepedosphere. |
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| 588 | _ | _ | |a Dataset connected to CrossRef |
| 700 | 1 | _ | |a Black, Christopher K. |0 0000-0001-8382-298X |b 1 |
| 700 | 1 | _ | |a Nord, Eric A. |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Postma, Johannes A. |0 P:(DE-Juel1)144879 |b 3 |
| 700 | 1 | _ | |a Sidhu, Jagdeep S. |0 0000-0002-4672-3701 |b 4 |
| 700 | 1 | _ | |a York, Larry M. |0 0000-0002-1995-9479 |b 5 |
| 700 | 1 | _ | |a Lynch, Jonathan P. |0 0000-0002-7265-9790 |b 6 |e Corresponding author |
| 773 | _ | _ | |a 10.34133/2020/3252703 |g Vol. 2020, p. 1 - 20 |0 PERI:(DE-600)2968615-5 |p 1 - 20 |t Plant phenomics |v 2020 |y 2020 |x 2643-6515 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/888607/files/OpenAccessPDF.pdf |y OpenAccess |
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