globalchange  > 气候减缓与适应
DOI: 10.1007/s10584-015-1541-9
Scopus记录号: 2-s2.0-84958751759
论文题名:
In silico evaluation of plant genetic resources to search for traits for adaptation to climate change
作者: Bari A.; Khazaei H.; Stoddard F.L.; Street K.; Sillanpää M.J.; Chaubey Y.P.; Dayanandan S.; Endresen D.T.F.; De Pauw E.; Damania A.B.
刊名: Climatic Change
ISSN: 0165-0009
EISSN: 1573-1480
出版年: 2016
卷: 134, 期:4
起始页码: 667
结束页码: 680
语种: 英语
Scopus关键词: Crops ; Ecology ; Productivity ; Stochastic models ; Stochastic systems ; Adaptation to climate changes ; Agricultural productivity ; Climate condition ; Climatic conditions ; Co-evolutionary process ; Ex ante evaluation ; Genetic resources ; Model prediction ; Climate change ; adaptation ; agricultural production ; climate change ; climate conditions ; coevolution ; crop plant ; drought stress ; empirical analysis ; genetic resource ; numerical model ; silicon ; stochasticity
英文摘要: Plant genetic resources display patterns resulting from ecological and co-evolutionary processes. Such patterns are instrumental in tracing the origin and diversity of crops and locating adaptive traits. With climate change and the anticipated increase in demand for food, new crop varieties will be needed to perform under unprecedented climatic conditions. In the present study, we explored genetic resources patterns to locate traits of adaptation to drought and to maximize the utilization of plant genetic resources lacking ex ante evaluation for emerging climate conditions. This approach is based on the use of mathematical models to predict traits as response variables driven by stochastic ecological and co-evolutionary processes. The high congruence of metrics between model predictions and empirical trait evaluations confirms in silico evaluation as an effective tool to manage large numbers of crop accessions lacking ex ante evaluation. This outcome will assist in developing cultivars adaptable to various climatic conditions and in the ultimate use of genetic resources to sustain agricultural productivity under conditions of climate change. © 2015, Springer Science+Business Media Dordrecht.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/84388
Appears in Collections:气候减缓与适应
气候变化事实与影响

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作者单位: International Centre for Agricultural Research in the Dry Areas, PO Box 6299, Rabat Institutes, Rabat, Rabat, Morocco; Crop Development Centre/Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, Canada; Department of Food and Environmental Sciences, University of Helsinki, PO Box 66 (Agnes Sjöbergin katu 2), Helsinki, Finland; Department of Mathematical Sciences and Biocenter Oulu, University of Oulu, PO Box 3000, Oulu, Finland; Department of Mathematics and Statistics, Concordia University, 1455 de Maisonneuve Blvd. West, Montreal, QC, Canada; Department of Biology, Centre for Structural and Functional Genomics and Loyola Centre for Sustainability Research, Concordia University, 7141 Sherbrooke West, Montreal, QC, Canada; Quebec Centre for Biodiversity Science, 1205 Dr. Penfield Avenue, Montreal, QC, Canada; GBIF Norway, Natural History Museum, University of Oslo, PO Box 1172 Blindern, Oslo, Norway; Department of Plant Sciences, Mail Stop 3, University of California, One Shields Avenue, CA, United States

Recommended Citation:
Bari A.,Khazaei H.,Stoddard F.L.,et al. In silico evaluation of plant genetic resources to search for traits for adaptation to climate change[J]. Climatic Change,2016-01-01,134(4)
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