Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Joshua C. O. Koh"'
Publikováno v:
Plant Methods, Vol 15, Iss 1, Pp 1-9 (2019)
Abstract Background Unmanned aerial vehicles (UAVs) equipped with lightweight sensors are making a significant impact in field-based crop phenotyping. UAV platforms have been successfully deployed to acquire phenotypic data in a precise and efficient
Externí odkaz:
https://doaj.org/article/527ac65f434542d58412c3e3db9f708b
Autor:
Joshua C. O. Koh, Denise M. Barbulescu, Sally Norton, Bob Redden, Phil A. Salisbury, Sukhjiwan Kaur, Noel Cogan, Anthony T. Slater
Publikováno v:
Plant Methods, Vol 13, Iss 1, Pp 1-8 (2017)
Abstract Background Within the Brassicaceae, six species from the genus Brassica are widely cultivated throughout the world as oilseed, condiment, fodder or vegetable crops. The genetic relationships among the six Brassica species are described by U
Externí odkaz:
https://doaj.org/article/c1429b0e0e5047939636a2764a796d98
Publikováno v:
Remote Sensing, Vol 13, Iss 858, p 858 (2021)
Remote Sensing; Volume 13; Issue 5; Pages: 858
Remote Sensing; Volume 13; Issue 5; Pages: 858
Automated machine learning (AutoML) has been heralded as the next wave in artificial intelligence with its promise to deliver high-performance end-to-end machine learning pipelines with minimal effort from the user. However, despite AutoML showing gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de68a2a85688c853df8bea55be8c004e
Publikováno v:
Plant Methods
Plant Methods, Vol 15, Iss 1, Pp 1-9 (2019)
Plant Methods, Vol 15, Iss 1, Pp 1-9 (2019)
Background Unmanned aerial vehicles (UAVs) equipped with lightweight sensors are making a significant impact in field-based crop phenotyping. UAV platforms have been successfully deployed to acquire phenotypic data in a precise and efficient manner t
Autor:
Mulusew, Fikere, Denise M, Barbulescu, Michelle M, Malmberg, Fan, Shi, Joshua C O, Koh, Anthony T, Slater, Iona M, MacLeod, Phillip J, Bowman, Phillip A, Salisbury, German C, Spangenberg, Noel O I, Cogan, Hans D, Daetwyler
Publikováno v:
The plant genome. 11(2)
Genomic prediction is becoming a popular plant breeding method to predict the genetic merit of lines. While some genomic prediction results have been reported in canola, none have been evaluated for blackleg disease. Here, we report genomic predictio
Autor:
Denise M. Barbulescu, Joshua C. O. Koh, Sally L. Norton, Noel O. I. Cogan, Phil Salisbury, Sukhjiwan Kaur, Anthony Slater, Bob Redden
Publikováno v:
Plant Methods, Vol 13, Iss 1, Pp 1-8 (2017)
Background Within the Brassicaceae, six species from the genus Brassica are widely cultivated throughout the world as oilseed, condiment, fodder or vegetable crops. The genetic relationships among the six Brassica species are described by U’s trian
Autor:
Anthony Slater, Denise M. Barbulescu, M. Michelle Malmberg, Phillip A. Salisbury, Fan Shi, Noel O. I. Cogan, Hans D. Daetwyler, Iona M. MacLeod, Joshua C. O. Koh, Phillip J. Bowman, German Spangenberg, Mulusew Fikere
Publikováno v:
The Plant Genome, Vol 11, Iss 2 (2018)
Genomic prediction is becoming a popular plant breeding method to predict the genetic merit of lines. While some genomic prediction results have been reported in canola, none have been evaluated for blackleg disease. Here, we report genomic predictio
Publikováno v:
PLoS ONE, Vol 11, Iss 5, p e0156186 (2016)
Two stilbenes, resveratrol and pterostilbene, exhibit antifungal activity against Leptosphaeria maculans, the fungal pathogen responsible for blackleg (stem canker) in canola (Brassica napus). In vitro studies on the effect of these stilbenes on L. m
Externí odkaz:
https://doaj.org/article/2be38a29b76849f389d812f8e88b47d6