Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Maria Newcomb"'
Early Detection of Drought Stress in Durum Wheat Using Hyperspectral Imaging and Photosystem Sensing
Autor:
Bishal Roy, Vasit Sagan, Alifu Haireti, Maria Newcomb, Roberto Tuberosa, David LeBauer, Nadia Shakoor
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 155 (2023)
Wheat, being the third largest U.S. crop and the principal food grain, faces significant risks from climate extremes such as drought. This necessitates identifying and developing methods for early water-stress detection to prevent yield loss and impr
Externí odkaz:
https://doaj.org/article/af8b538bcf2143ddae13a859cf9dc635
Autor:
Jayaveeramuthu Nirmala, Jyoti Saini, Maria Newcomb, Pablo Olivera, Sam Gale, Daryl Klindworth, Elias Elias, Luther Talbert, Shiaoman Chao, Justin Faris, Steven Xu, Yue Jin, Matthew N. Rouse
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 7, Iss 10, Pp 3481-3490 (2017)
Wheat stem rust, caused by Puccinia graminis f. sp. tritici Eriks. & E. Henn, can incur yield losses in susceptible cultivars of durum wheat, Triticum turgidum ssp. durum (Desf.) Husnot. Although several durum cultivars possess the stem rust resistan
Externí odkaz:
https://doaj.org/article/2bcbaaaf20b441cbbbb0b68e3cade7e7
Autor:
Giuseppe E. Condorelli, Marco Maccaferri, Maria Newcomb, Pedro Andrade-Sanchez, Jeffrey W. White, Andrew N. French, Giuseppe Sciara, Rick Ward, Roberto Tuberosa
Publikováno v:
Frontiers in Plant Science, Vol 9 (2018)
Externí odkaz:
https://doaj.org/article/48c5a554fbf248b68902960383ca065c
Autor:
Rut Sanchez-Bragado, Maria Newcomb, Fadia Chairi, Giuseppe Emanuele Condorelli, Richard W. Ward, Jeffrey W. White, Marco Maccaferri, Roberto Tuberosa, Jose Luis Araus, Maria Dolors Serret Molins
Publikováno v:
Agronomy, Vol 10, Iss 11, p 1679 (2020)
High-throughput phenotyping platforms provide valuable opportunities to investigate biomass and drought-adaptive traits. We explored the capacity of traits associated with drought adaptation such as aerial measurements of the Normalized Difference Ve
Externí odkaz:
https://doaj.org/article/f04f76f4838643a1a8723cf08098628d
Autor:
Sourav Bhadra, Vasit Sagan, Maitiniyazi Maimaitijiang, Matthew Maimaitiyiming, Maria Newcomb, Nadia Shakoor, Todd C. Mockler
Publikováno v:
Remote Sensing, Vol 12, Iss 13, p 2082 (2020)
Leaf chlorophyll concentration (LCC) is an important indicator of plant health, vigor, physiological status, productivity, and nutrient deficiencies. Hyperspectral spectroscopy at leaf level has been widely used to estimate LCC accurately and non-des
Externí odkaz:
https://doaj.org/article/b221c3a1705441ad9458e63410e76ff2
Autor:
Giuseppe E. Condorelli, Marco Maccaferri, Maria Newcomb, Pedro Andrade-Sanchez, Jeffrey W. White, Andrew N. French, Giuseppe Sciara, Rick Ward, Roberto Tuberosa
Publikováno v:
Frontiers in Plant Science, Vol 9 (2018)
High-throughput phenotyping platforms (HTPPs) provide novel opportunities to more effectively dissect the genetic basis of drought-adaptive traits. This genome-wide association study (GWAS) compares the results obtained with two Unmanned Aerial Vehic
Externí odkaz:
https://doaj.org/article/596ecb1ee3e64bc3b053e0782cee27d6
Autor:
Vasit Sagan, Maitiniyazi Maimaitijiang, Paheding Sidike, Kevin Eblimit, Kyle T. Peterson, Sean Hartling, Flavio Esposito, Kapil Khanal, Maria Newcomb, Duke Pauli, Rick Ward, Felix Fritschi, Nadia Shakoor, Todd Mockler
Publikováno v:
Remote Sensing, Vol 11, Iss 3, p 330 (2019)
The growing popularity of Unmanned Aerial Vehicles (UAVs) in recent years, along with decreased cost and greater accessibility of both UAVs and thermal imaging sensors, has led to the widespread use of this technology, especially for precision agricu
Externí odkaz:
https://doaj.org/article/e7a61aa9c8304f14a5a20bb5027803e9
Autor:
Max Burnette, David Shaner LeBauer, Nadia Shakoor, Sidike Paheding, Duke Pauli, Maitiniyazi Maimaitijiang, Jeffrey Demieville, Abby Stylianou, Sourav Bhadra, Kyle Peterson, Sean Hartling, Nichole Gosselin, Vasit Sagan, Todd C. Mockler, Maria Newcomb, Charles S. Zender
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-20
Near-earth hyperspectral big data present both huge opportunities and challenges for spurring developments in agriculture and high-throughput plant phenotyping and breeding. In this article, we present data-driven approaches to address the calibratio
Autor:
Fabio Fiorani, Onno Muller, Richard W. Ward, Roberto Tuberosa, Nicolas Zendonadi dos Santos, Eder Licieri Groli, Marco Maccaferri, Hans-Peter Piepho, Maria Newcomb, Giuseppe Emanuele Condorelli, Uwe Rascher
Publikováno v:
Plant, cell & environment 44(9), 2858-2878 (2021). doi:10.1111/pce.14136
Chlorophyll fluorescence (ChlF) is a powerful non-invasive technique for probing photosynthesis. Although proposed as a method for drought tolerance screening, ChlF has not yet been fully adopted in physiological breeding, mainly due to limitations i
Autor:
Maria, Newcomb, Nadia, Shakoor
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2539
Photosynthetic efficiency is increasingly recognized as an integration of plant responses to dynamic environments, establishing the need for data sets from both field trials and controlled environments. A robotic field scanner phenotyping platform at