Maria Newcomb

ORCID: 0000-0003-2974-9149
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About
Contact & Profiles
Research Areas
  • Wheat and Barley Genetics and Pathology
  • Genetics and Plant Breeding
  • Plant Disease Resistance and Genetics
  • Remote Sensing in Agriculture
  • Plant Pathogens and Resistance
  • Yeasts and Rust Fungi Studies
  • Genetic Mapping and Diversity in Plants and Animals
  • Astrophysics and Cosmic Phenomena
  • Spectroscopy and Chemometric Analyses
  • Leaf Properties and Growth Measurement
  • 3D Surveying and Cultural Heritage
  • Remote Sensing and LiDAR Applications
  • Neutrino Physics Research
  • Crop Yield and Soil Fertility
  • Plant Water Relations and Carbon Dynamics
  • Bioenergy crop production and management
  • Smart Agriculture and AI
  • Mycotoxins in Agriculture and Food
  • Image Processing Techniques and Applications
  • Dark Matter and Cosmic Phenomena
  • Radio Astronomy Observations and Technology
  • Plant Pathogens and Fungal Diseases
  • Plant responses to elevated CO2
  • Plant and Fungal Interactions Research
  • Soil Geostatistics and Mapping

US Forest Service
2020-2023

Maricopa Medical Center
2016-2022

University of Arizona
2016-2022

Intermountain Healthcare
2020

University of Minnesota
2015-2019

U.S. Arid Land Agricultural Research Center
2018

University of Wisconsin–Madison
2010-2017

Cereal Disease Laboratory
2013-2016

Agricultural Research Service
2012-2016

International Maize and Wheat Improvement Center
2015-2016

A severe stem rust epidemic occurred in southern Ethiopia during November 2013 to January 2014, with yield losses close 100% on the most widely grown wheat cultivar, 'Digalu'. Sixty-four samples collected from regions were analyzed. meteorological model for airborne spore dispersal was used identify which likely have been infected postulated sites of initial infection. Based analyses 106 single-pustule isolates derived these samples, four races Puccinia graminis f. sp. tritici identified:...

10.1094/phyto-11-14-0302-fi article EN other-oa Phytopathology 2015-03-16

The growing popularity of Unmanned Aerial Vehicles (UAVs) in recent years, along with decreased cost and greater accessibility both UAVs thermal imaging sensors, has led to the widespread use this technology, especially for precision agriculture plant phenotyping. There are several camera systems market that available at a low cost. However, their efficacy accuracy various applications not been tested. In study, three commercially UAV cameras, including ICI 8640 P-series (Infrared Cameras...

10.3390/rs11030330 article EN cc-by Remote Sensing 2019-02-07

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 results obtained with two Unmanned Aerial Vehicles (UAVs) and a ground-based platform used measure Normalized Difference Vegetation Index (NDVI) in panel 248 elite durum wheat (Triticum turgidum L. ssp. Desf.) accessions at different growth stages water regimes. Our suggest increased ability...

10.3389/fpls.2018.00893 article EN cc-by Frontiers in Plant Science 2018-06-26

An unusual stem rust infestation occurred in German wheat fields summer 2013. This study analysed 48 isolates derived from 17 Puccinia graminis f. sp. tritici (Pgt) samples and six races were identified: TKTTF , TKKTF TKPTF TKKTP PKPTF MMMTF . Infection type genotypic data confirmed that none of these belonged to the TTKS (Ug99) race group. are phenotypically different ones responsible for epidemic Ethiopia 2013–2014. Forty genotyped using a custom SNP array. Phylogenetic analysis showed 40...

10.1111/ppa.12674 article EN Plant Pathology 2017-01-17

Frequent emergence of new variants in the Puccinia graminis f. sp. tritici Ug99 race group Kenya has made pathogen survey a priority. We analyzed 140 isolates from 78 P. samples collected between 2008 and 2014 identified six races, including three not detected prior to 2013. Genotypic analysis 20 2013 collections showed that races TTHST, TTKTK, TTKTT belong group. International advanced breeding lines were evaluated against an isolate (Sr31, Sr24, SrTmp virulence) at seedling stage. From 169...

10.1094/phyto-12-15-0337-r article EN other-oa Phytopathology 2016-03-28

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 non-destructively. This study utilized leaf-level hyperspectral data with derivative calculus machine learning sorghum. We calculated fractional (FD) orders starting from 0.2 2.0 order increments. Additionally, 43 common vegetation indices (VIs) were...

10.3390/rs12132082 article EN cc-by Remote Sensing 2020-06-29

Wheat stem rust, caused by Puccinia graminis f. sp. tritici, is a re-emerging disease exemplified recent epidemics new virulent races. Understanding the sources and origins of genetic variations in pathogen populations globally can facilitate development better strategies management. We analyzed 68 wheat rust samples collected between 2013 2015 from Georgia where incidences are frequent alternate host, common barberry, present. A total 116 single-pustule isolates were derived evaluated on...

10.1094/phyto-06-19-0186-r article EN cc-by Phytopathology 2019-07-24

The recently developed OPtical TRapezoid Model (OPTRAM) has been successfully applied for watershed scale soil moisture (SM) estimation based on remotely-sensed shortwave infrared (SWIR) transformed reflectance (TRSWIR) and the normalized difference vegetation index (NDVI). This study is aimed at evaluation of OPTRAM field precision agriculture applications using ultrahigh spatial resolution optical observations obtained with one world’s largest robotic phenotyping scanners located in...

10.3389/fdata.2019.00037 article EN cc-by Frontiers in Big Data 2019-11-05

Near-earth hyperspectral big data present both huge opportunities and challenges for spurring developments in agriculture high-throughput plant phenotyping breeding. In this article, we data-driven approaches to address the calibration utilizing near-earth agriculture. A data-driven, fully automated workflow that includes a suite of robust algorithms radiometric calibration, bidirectional reflectance distribution function (BRDF) correction normalization, soil shadow masking, image quality...

10.1109/tgrs.2021.3091409 article EN cc-by IEEE Transactions on Geoscience and Remote Sensing 2021-08-24

Wheat landraces provide a source of genetic variability for breeding. The emergence and spread highly virulent races the stem rust pathogen (Ug99 race group Puccinia graminis f. sp. tritici) threaten wheat production globally. Spring were screened resistance in eight field seasons at Kenya Agricultural Research Institute, Njoro, where Ug99 has become endemic. Accessions showing one season retested with molecular markers associated genes Sr2, Sr24, Sr36, Lr34/Yr18; two height-reducing genes;...

10.1094/pdis-02-12-0200-re article EN other-oa Plant Disease 2012-11-07

The Transportation Energy Resources from Renewable Agriculture Phenotyping Reference Platform (TERRA-REF) provides a data and computation pipeline responsible for collecting, transferring, processing distributing large volumes of crop sensing genomic genetically informative germplasm sets. primary source these is field scanner system built over an experimental at the University Arizona Maricopa Agricultural Center. uses several different sensors to observe dense collection frequency with...

10.1145/3219104.3219152 article EN Proceedings of the Practice and Experience on Advanced Research Computing 2018-07-12

Osmotic adjustment (OA) is a major component of drought resistance in crops. The genetic basis OA wheat and other crops remains largely unknown. In this study, 248 field-grown durum elite accessions grown under well-watered conditions, underwent progressively severe treatment started at heading. Leaf samples were collected heading 17 days later. following traits considered: flowering time (FT), leaf relative water content (RWC), osmotic potential (ψs), OA, chlorophyll (SPAD), rolling (LR)....

10.3390/genes13020293 article EN Genes 2022-02-02

Abstract 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. (Desf.) Husnot. Although several possess the rust resistance gene Sr13, additional genes wheat effective against emerging virulent races have not been described. Durum line 8155-B1 confers P. race TTKST, variant Ug99 group with virulence to Sr24. However, does confer first-described group: TTKSK. We mapped a single...

10.1534/g3.117.300209 article EN cc-by G3 Genes Genomes Genetics 2017-08-30

Abstract. Canopy height (CH) and leaf area index (LAI) provide key information about crop growth productivity. A rapid accurate retrieval of CH LAI is critical for a variety agricultural applications. LiDAR RGB photogrammetry have been increasingly used in plant phenotyping recent years thanks to the developments Unmanned Aerial Vehicle (UAV) sensor technology. The goal this study investigate potential UAV estimating LAI. To end, high resolution 32 channel cameras mounted on DJI Matrice 600...

10.5194/isprs-annals-v-3-2020-489-2020 article EN cc-by ISPRS annals of the photogrammetry, remote sensing and spatial information sciences 2020-08-03

ABSTRACT Stem rust, caused by Puccinia graminis f. sp. tritici (Pgt), is one of the most serious diseases wheat ( Triticum aestivum L.) worldwide. The discovery new Pgt races in Africa, Ug99 and its variants, brings a threat to global production. Pyramiding several stem rust resistance genes into adapted varieties as opposed breeding with single gene considered more effective method combat races, but success pyramiding depends on availability molecular markers tightly linked genes. Markers...

10.2135/cropsci2012.07.0446 article EN Crop Science 2013-03-08

ABSTRACT Stripe rust, caused by Puccinia striiformis f. sp. tritici , and stem P. graminis are economically important diseases of wheat ( Triticum aestivum L.). rust continues to cause huge economic losses in major wheat‐growing regions as new races the pathogen frequently emerge. Wheat landraces from diverse geographic a potential source novel resistance genes. In search multiple resistance, total 652 landrace accessions 54 countries previously screened for (race Ug99) were tested current...

10.2135/cropsci2013.07.0438 article EN Crop Science 2014-07-28
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