Detection frequency of Pinus thunbergii roots by ground-penetrating radar is related to root biomass

2012 ◽  
Vol 360 (1-2) ◽  
pp. 363-373 ◽  
Author(s):  
Yasuhiro Hirano ◽  
Rika Yamamoto ◽  
Masako Dannoura ◽  
Kenji Aono ◽  
Tetsurou Igarashi ◽  
...  

2014 ◽  
Vol 6 (6) ◽  
pp. 5754-5773 ◽  
Author(s):  
Shiping Zhu ◽  
Chunlin Huang ◽  
Yi Su ◽  
Motoyuki Sato


2014 ◽  
Vol 88 (4) ◽  
pp. 657-669 ◽  
Author(s):  
Kira A. Borden ◽  
Marney E. Isaac ◽  
Naresh V. Thevathasan ◽  
Andrew M. Gordon ◽  
Sean C. Thomas


2021 ◽  
Vol 13 (23) ◽  
pp. 4908
Author(s):  
Afolabi Agbona ◽  
Brody Teare ◽  
Henry Ruiz-Guzman ◽  
Iliyana D. Dobreva ◽  
Mark E. Everett ◽  
...  

Cassava as a world food security crop still suffers from an inadequate means to measure early storage root bulking (ESRB), a trait that describes early maturity and a key characteristic of improved cassava varieties. The objective of this study is to evaluate the capability of ground penetrating radar (GPR) for non-destructive assessment of cassava root biomass. GPR was evaluated for this purpose in a field trial conducted in Ibadan, Nigeria. Different methods of processing the GPR radargram were tested, which included time slicing the radargram below the antenna surface in order to reduce ground clutter; to remove coherent sub-horizontal reflected energy; and having the diffracted energy tail collapsed into representative point of origin. GPR features were then extracted using Discrete Fourier Transformation (DFT), and Bayesian Ridge Regression (BRR) models were developed considering one, two and three-way interactions. Prediction accuracies based on Pearson correlation coefficient (r) and coefficient of determination (R2) were estimated by the linear regression of the predicted and observed root biomass. A simple model without interaction produced the best prediction accuracy of r = 0.64 and R2 = 0.41. Our results demonstrate that root biomass can be predicted using GPR and it is expected that the technology will be adopted by cassava breeding programs for selecting early stage root bulking during the crop growth season as a novel method to dramatically increase crop yield.





2020 ◽  
Author(s):  
Dirk Hays ◽  
Matt Wolfe ◽  
Iliyana Dobreva ◽  
Henry Ruiz

<p>Currently atmospheric carbon has reached 405 ppm or 720 GtC.  As is widely known, this increasing atmospheric carbon dioxide, methane and nitrous oxide are primary contributing factors in increasing global temperatures.  Current measurements show that sources of emission such as the burning of fossil fuels contributes 9.9 GtC/yr, while land use change contributes 1.5 GtC/yr. We have identified that crops possessing a subsurface rhizome in particular, in addition to high root biomass, are essential and capable of increasing crop derived soil carbon sequestration by 10-fold.  If the presence of a high biomass rhizome were bred into the world’s major grain crops wheat, rice, maize, barley, sorghum and millets and grown worldwide in no-tillage conditions, these crops could sequester and offset current carbon emissions by 9Gt carbon on a yearly basis. We have developed a new ground penetrating radar instrument and analytical software, which will be presented, as a needed for high throughput non-destructive phenotyping, selection and speed breeding new high root biomass cultivars of the worlds major cultivated crops and forages as a key component for crop-based carbon sequestration driven climate change mitigation. </p>





Ecology ◽  
2007 ◽  
Vol 88 (5) ◽  
pp. 1328-1334 ◽  
Author(s):  
Daniel B. Stover ◽  
Frank P. Day ◽  
John R. Butnor ◽  
Bert G. Drake


2003 ◽  
Vol 67 (5) ◽  
pp. 1607-1615 ◽  
Author(s):  
J. R. Butnor ◽  
J. A. Doolittle ◽  
K. H. Johnsen ◽  
L. Samuelson ◽  
T. Stokes ◽  
...  


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