Zobrazeno 1 - 10 of 228 pro vyhledávání: '"B. A. Barrett"'
1
Akademický článek
Variability of winter and summer surface ozone in Mexico City on the intraseasonal timescale
Autor: B. S. Barrett, G. B. Raga
Publikováno v: Atmospheric Chemistry and Physics, Vol 16, Pp 15359-15370 (2016)
Surface ozone concentrations in Mexico City frequently exceed the Mexican standard and have proven difficult to forecast due to changes in meteorological conditions at its tropical location. The Madden–Julian Oscillation (MJO) is largely respons
Externí odkaz: https://doaj.org/article/a1751dbb66494d34a670e2dbd9c68ce5
Zobrazit plný text záznamu
2
Regional Exploration and Characterisation of CO2 Storage Prospects in the Utsira-Skade Aquifer, North Viking Graben, North Sea
Autor: Mads Huuse, Christopher D. Lloyd, B. J. Barrett, A. M. W. Newton
Publikováno v: Lloyd, C, Huuse, M, Barrett, B J & Newton, A M W 2021, ' Regional Exploration and Characterisation of CO2 Storage Prospects in the Utsira-Skade Aquifer, North Viking Graben, North Sea ', Earth Science, Systems and Society, vol. 1, 10041 . https://doi.org/10.3389/esss.2021.10041
Subsurface CO2 storage is considered a key element of reducing anthropogenic emissions in virtually all scenarios compatible with limiting global warming to 1.5°C. The Utsira-Skade Aquifer (Utsira, Eir and Skade Formations), northern North Sea, has
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8db6685c5d4b3f14513503a1462b00d2
https://pure.qub.ac.uk/en/publications/regional-exploration-and-characterisation-of-co2-storage-prospects-in-the-utsiraskade-aquifer-north-viking-graben-north-sea(337a6a75-eeeb-4162-ba9c-8cbbf7743e2e).html
Zobrazit plný text záznamu
3
Real-time, non-destructive and in-field foliage yield and growth rate measurement in perennial ryegrass (Lolium perenne L.)
Autor: Courtney Inch, Jaco Fourie, Kioumars Ghamkhar, Valerio Hoyos-Villegas, B. A. Barrett, Steve Gebbie, Kenji Irie, Richard George, Armin Werner, Michael Hagedorn, Alan Stewart, Jeffrey Hsiao
Publikováno v: Plant Methods, Vol 15, Iss 1, Pp 1-12 (2019)
Plant Methods
Background In-field measurement of yield and growth rate in pasture species is imprecise and costly, limiting scientific and commercial application. Our study proposed a LiDAR-based mobile platform for non-invasive vegetative biomass and growth rate
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00854abfc1d7cb1bfede46b5bac9442a
http://link.springer.com/article/10.1186/s13007-019-0456-2
Zobrazit plný text záznamu
5
CIRCULATING INTERLEUKIN-6 IS ASSOCIATED WITH SKELETAL MUSCLE STRENGTH, QUALITY, AND FUNCTIONAL ADAPTATION WITH EXERCISE TRAINING IN MOBILITY-LIMITED OLDER ADULTS
Autor: Davis A. Englund, Kieran F. Reid, Thomas Gustafsson, T Benard, Tommy Cederholm, Afsaneh Koochek, B. B. Barrett, Thomas G. Travison, Christine K. Liu, Roger A. Fielding, Gregory J. Grosicki, A. von Berens
Publikováno v: Journal of Frailty & Aging. :1-7
Background: Human aging is characterized by a chronic, low-grade inflammation suspected to contribute to reductions in skeletal muscle size, strength, and function. Inflammatory cytokines, such as interleukin-6 (IL-6), may play a role in the reduced
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdc1db2f98b5a5d4eff20d2aa3add766
https://doi.org/10.14283/jfa.2019.30
Zobrazit plný text záznamu
6
Deterministic and stochastic modelling of impacts from genomic selection and phenomics on genetic gain for perennial ryegrass dry matter yield
Autor: Wen-Hsi Yang, Kioumars Ghamkhar, Richard George, Andrew G. Griffiths, Mingzhu Sun, B. A. Barrett, Colin Eady, Sai Krishna Arojju, Vivi N. Arief, Kaye E. Basford, Dongwen Luo, Will Clayton, Alan Stewart, Valerio Hoyos-Villegas, Ian H. DeLacy, M. Z. Z. Jahufer, Marty J. Faville
Publikováno v: Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
Increasing the efficiency of current forage breeding programs through adoption of new technologies, such as genomic selection (GS) and phenomics (Ph), is challenging without proof of concept demonstrating cost effective genetic gain (∆G). This pape
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21be3954615ab6baabb7dbf2ac663ca7
https://doi.org/10.1038/s41598-021-92537-w
Zobrazit plný text záznamu
7
Multi-Trait Genomic Prediction Improves Predictive Ability for Dry Matter Yield and Water-Soluble Carbohydrates in Perennial Ryegrass
Autor: Courtney Inch, Colin Eady, Sai Krishna Arojju, Alan Stewart, B. A. Barrett, M. R. Trolove, Marty J. Faville, Mingshu Cao
Publikováno v: Frontiers in Plant Science, Vol 11 (2020)
Frontiers in Plant Science
In perennial ryegrass (Lolium perenne L), annual and seasonal dry matter yield (DMY) and nutritive quality of herbage are high-priority traits targeted for improvement through selective breeding. Genomic prediction (GP) has proven to be a valuable to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf2d9e12b3f83e0c9738786b9d3ac750
https://doi.org/10.3389/fpls.2020.01197
Zobrazit plný text záznamu
8
Developing new tools for pasture plant breeding
Autor: Marcelo J Carena, Kioumars Ghamkhar, Marty J. Faville, B. A. Barrett
Publikováno v: Journal of New Zealand Grasslands. :255-262
The rate of genetic gain represented in the Forage Value Index of perennial ryegrass (Lolium perenne) is a major factor underpinning sustained profitability in pastoral farming. Effective new technologies for trait data acquisition and parent plant s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fbe7b9d93111927047eda89246f7032b
https://doi.org/10.33584/jnzg.2018.80.343
Zobrazit plný text záznamu
10
Genomic predictive ability for foliar nutritive traits in perennial ryegrass
Autor: M. Z. Zulfi Jahufer, Sai Krishna Arojju, B. A. Barrett, Mingshu Cao, Marty J. Faville
Publikováno v: G3: Genes|Genomes|Genetics
G3: Genes, Genomes, Genetics, Vol 10, Iss 2, Pp 695-708 (2020)
Forage nutritive value impacts animal nutrition, which underpins livestock productivity, reproduction and health. Genetic improvement for nutritive traits has been limited, as they are typically expensive and time-consuming to measure through convent
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74fde825aaf63a465b65d79b78609400
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje