Zobrazeno 1 - 10
of 713
pro vyhledávání: '"J Thorburn"'
Publikováno v:
Endangered Species Research, Vol 52, Pp 97-111 (2023)
Due to global population declines, there is a pressing need for data on the life history traits of many elasmobranch species to support the development of species-specific management plans. A lack of information on the reproductive cycle of the Criti
Externí odkaz:
https://doaj.org/article/c3f8259a530845df95307e781c2f7628
Autor:
John R. Porter, Peter J. Thorburn, Hamish E. Brown, Edmar I. Teixeira, Derrick J. Moot, Annamaria Mills, Svend Christensen
Publikováno v:
Italian Journal of Agronomy, Iss AOP (2021)
Highlights - Novel ideosystem method of analysing processes of food production, focussing on resource use efficiencies. - Interactions between resource use efficiencies are asymmetrical. - The ideosystem concept portrays how far a production system a
Externí odkaz:
https://doaj.org/article/d006782d569e43dd98bd04fab8d46a41
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 3 (2020)
The agricultural sector has potential to provide greenhouse gas (GHG) mitigation by sequestering soil organic carbon (SOC). Replacing cropland with permanent pasture is one practice promoted for its potential to sequester soil carbon. However, pastur
Externí odkaz:
https://doaj.org/article/04e046f072a6475e9101b74add0da068
Autor:
Simon Fielke, Bruce M. Taylor, Anthea Coggan, Emma Jakku, Aaron M. Davis, Peter J. Thorburn, Anthony J. Webster, James C.R. Smart
Publikováno v:
Journal of Rural Studies. 92:120-131
Publikováno v:
Frontiers in Environmental Science, Vol 7 (2019)
Predicting trends in water quality plays an essential role in the field of environmental modeling. Though artificial neural networks (ANN) have been involved in predicting water quality in many studies, the prediction performance is highly affected b
Externí odkaz:
https://doaj.org/article/0e35af896afe46b3af6f672dcf2a8e93
Funding: This study was supported by NatureScot, Scottish Government project SP02B, a Heredity Fieldwork Grant of the Genetics Society, and Save Our Seas Foundation projects SOSF 470 and 560. Stability and long-term persistence of a species rely heav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6c2f6a25b0ea7587708b2a56882a73f
https://hdl.handle.net/10023/27108
https://hdl.handle.net/10023/27108
Autor:
Doko-Miles J. Thorburn, Kostas Sagonas, Mahesh Binzer-Panchal, Frederic J.J. Chain, Philine G.D. Feulner, Erich Bornberg-Bauer, Thorsten BH Reusch, Irene E. Samonte-Padilla, Manfred Milinski, Tobias L. Lenz, Christophe Eizaguirre
Genome-level sequencing enables us to ask fundamental questions about the genetic basis of adaptation, population structure, and epigenetic mechanisms, but usually requires a suitable reference genome for mapping population-level re-sequencing data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b00dad3a376a88ac381d52be59125bf
https://doi.org/10.1101/2023.01.10.523267
https://doi.org/10.1101/2023.01.10.523267
Autor:
Yifan Zhang, Peter J. Thorburn
Publikováno v:
Future Generation Computer Systems. 128:63-72
High-frequency water quality monitoring systems provide valuable measurements for predicting the trend of water quality, warning of abnormal activities or operating hydrological models. However, missing values are prevalent due to network miscommunic
Publikováno v:
Water, Vol 12, Iss 2, p 585 (2020)
Water quality forecasting is increasingly significant for agricultural management and environmental protection. Enormous amounts of water quality data are collected by advanced sensors, which leads to an interest in using data-driven models for predi
Externí odkaz:
https://doaj.org/article/5962590935674f79b8e3fc18099ec86c
Autor:
Laila A. Puntel, John E. Sawyer, Daniel W. Barker, Peter J. Thorburn, Michael J. Castellano, Kenneth J. Moore, Andrew VanLoocke, Emily A. Heaton, Sotirios V. Archontoulis
Publikováno v:
Frontiers in Plant Science, Vol 9 (2018)
Historically crop models have been used to evaluate crop yield responses to nitrogen (N) rates after harvest when it is too late for the farmers to make in-season adjustments. We hypothesize that the use of a crop model as an in-season forecast tool
Externí odkaz:
https://doaj.org/article/aae272a2d10943d292f50dd2d2147aca