Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Brody L. Teare"'
Autor:
Matthew Wolfe, Iliyana D. Dobreva, Henry A. Ruiz-Guzman, Da Huo, Brody L. Teare, Tyler Adams, Mark E. Everett, Michael Bishop, Russell Jessup, Dirk B. Hays
Publikováno v:
Remote Sensing, Vol 15, Iss 15, p 3832 (2023)
Among many agricultural practices proposed to cut carbon emissions in the next 30 years is the deposition of carbon in soils as plant matter. Adding rooting traits as part of a sequestration strategy would result in significantly increased carbon seq
Externí odkaz:
https://doaj.org/article/2d212e07ca524aaa9292668f59f43de0
Autor:
Iliyana D. Dobreva, Henry A. Ruiz-Guzman, Ilse Barrios-Perez, Tyler Adams, Brody L. Teare, Paxton Payton, Mark E. Everett, Mark D. Burow, Dirk B. Hays
Publikováno v:
Remote Sensing, Vol 13, Iss 10, p 1896 (2021)
This study explores the efficacy of utilizing a novel ground penetrating radar (GPR) acquisition platform and data analysis methods to quantify peanut yield for breeding selection, agronomic research, and producer management and harvest applications.
Externí odkaz:
https://doaj.org/article/81fc9acf31b9443baf5990ec8756abdf
Autor:
Tyler Adams, Iliyana D. Dobreva, Russell W. Jessup, Dirk B. Hays, Michael P. Bishop, Da Huo, Mark E. Everett, Brody L. Teare, Henry A. Ruiz-Guzman, Matthew Wolfe
AimsMany governments and companies have committed to moving to net-zero emissions by 2030 or 2050 to tackle climate change, which require the development of new carbon capture and sequestration/storage (CCS) techniques. A proposed method of sequestra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2df70888983a13ecdc785a79dc2ae3dd
https://doi.org/10.21203/rs.3.rs-1041672/v1
https://doi.org/10.21203/rs.3.rs-1041672/v1
Autor:
Matthew Wolfe, Brody L. Teare, Michael Gomez Selvaraj, Afolabi Agbona, Dirk B. Hays, Henry Ruiz, Tyler Adams, Iliyanna Dobreva
Background: Root phenotyping methods are of increasing importance as researchers seek to understand belowground productivity and breeders work to select for root traits. Effective non-destructive root phenotyping methods do not exist for bulked-root
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02726d19873d7316a9a154f563ec7c2a
https://doi.org/10.21203/rs.3.rs-907807/v1
https://doi.org/10.21203/rs.3.rs-907807/v1
Autor:
Dirk B. Hays, Ilse Barrios-Perez, Paxton Payton, Brody L. Teare, Tyler Adams, Iliyana D. Dobreva, Mark D. Burow, Henry A. Ruiz-Guzman, Mark E. Everett
Publikováno v:
Remote Sensing; Volume 13; Issue 10; Pages: 1896
Remote Sensing, Vol 13, Iss 1896, p 1896 (2021)
Remote Sensing, Vol 13, Iss 1896, p 1896 (2021)
This study explores the efficacy of utilizing a novel ground penetrating radar (GPR) acquisition platform and data analysis methods to quantify peanut yield for breeding selection, agronomic research, and producer management and harvest applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2b11972ad7565fa1cc5b887373a7853