DOI: 10.1016/j.foreco.2013.04.040
Scopus记录号: 2-s2.0-84878374797
论文题名: Deviant near-infrared spectra identifies Corymbia hybrids
作者: Abasolo M. ; Lee D.J. ; Raymond C. ; Meder R. ; Shepherd M.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2013
卷: 304 起始页码: 121
结束页码: 131
语种: 英语
英文关键词: Assignment accuracy
; Eucalypt
; Gene flow
; Plantation forestry
; Subtropical Australia
Scopus关键词: Assignment accuracy
; Australia
; Eucalypt
; Gene flows
; Plantation forestry
; Forestry
; Plants (botany)
; Infrared devices
; accuracy assessment
; dicotyledon
; discriminant analysis
; environmental factor
; foliage
; gene flow
; hybrid
; infrared spectroscopy
; morphology
; plantation forestry
; seedling
; subtropical region
; taxonomy
; Australia
; Eucalyptus
英文摘要: The study examined the potential of Near Infrared Reflectance (NIR) spectroscopy for field diagnosis of hybrids between Corymbia (formerly Eucalyptus) species. NIR profiles were generated by scanning foliage from a total of 383 hybrid and 533 parental seedlings grown in a common garden and partial least squares discriminant analysis was used to test three-way model power to assign individuals to their appropriate taxon; either a parental or F1 hybrid class. Using the optimised conditions, fresh foliage from eight-month-old seedlings and a handheld NIR instrument (950-1800nm), the mean assignment rates for the three hybrid groups ranged from 76% to 90%. Hybrid-parent contrast of NIR spectra deviated more so than parent-parent contrast. The F1 taxon assignment rates were usually higher than those for parents at 100% and 72%, respectively. Hybrid resolution was even greater for 2nd generation backcross hybrids. Similar to studies of morphology, taxon assignments tended to be more accurate for hybrid groups in which the parental taxa were more divergent. The practical application of this technique for hybrid diagnosis of seedlings in the nursery will require careful attention to control environmental factors because seedling age and storage effects influenced the ability of NIR to identify hybrids. The technique may also necessitate the generation of comparable reference populations, although exclusions approaches to analysis may circumvent the need for reference populations. The application of NIR in field diagnosis will be further complicated by the need to generate global models across environments but such models have been obtained for reliable prediction of chemistries in other situations. © 2013. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66499
Appears in Collections: 影响、适应和脆弱性
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作者单位: Cooperative Research Centre for Forestry, Southern Cross Plant Science, Southern Cross University, Po Box 157, Lismore, NSW 2480, Australia; Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Department of Agriculture Fisheries and Forestry, Locked Bag 4, Maroochydore DC, QLD 4558, Australia; Southern Cross Plant Science, Southern Cross University, Po Box 157, Lismore, NSW 2480, Australia; Division of Plant Industry, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Queensland Bioscience Precinct, 306 Carmody Road, St. Lucia, Qld 4067, Australia
Recommended Citation:
Abasolo M.,Lee D.J.,Raymond C.,et al. Deviant near-infrared spectra identifies Corymbia hybrids[J]. Forest Ecology and Management,2013-01-01,304