The Potential Use of near Infrared Spectroscopy to Discriminate between Different Pine Species and Their Hybrids

There is growing interest in the use of pine hybrids in commercial forestry plantations in the tropics and sub-tropics. However, the production of pine hybrid seeds can be difficult and is dependent on the presence of an adequate number of male and female strobili, timely application of the pollination bag, good pollination techniques and reasonable weather conditions. After pollination, a wait of two or more years is required for cones to mature and for seeds to be collected. The seeds collected from artificial hybrid crosses in an orchard are assumed to be true hybrids, but might also be the (female) pure species if pollen contamination has occurred prior to or during bagging of the male strobili. Confirming hybridity in pines is often very difficult in the seedling stage when only needle morphological characteristics are used. In this study, we examined ground oven-dried needle samples of 16 pine species from different geographic regions using near infrared (NIR) spectroscopy to determine if this method is effective in distinguishing between pine species. We also created three “simulated hybrids” by manually mixing needles from three sets of parental pure species. The raw near infrared reflectance spectroscopy data were transformed using standard normal variate and de-trending techniques and a model was developed to distinguish between pure pine species and their “hybrids” using discriminant analysis. A total of 120 paired-species models were developed (one for each potential hybrid of the 16 species). For each of the 120 paired-species models, there were 20 independent observations in a validation data set and the 2400 observations were classified with 94% accuracy. Models were also developed for each of six species-simulated hybrid data sets. A total of 120 independent validation observations were classified as either parental species or simulated hybrid with 90% accuracy. The results indicate that NIR spectroscopy can be used as an effective tool to distinguish between pure pine species and suggest that it will also distinguish hybrids from their parents. Using NIR spectroscopy to verify hybridity in pines might be quicker and less expensive and, in some cases, as accurate as using molecular techniques.

[1]  G. Hodge,et al.  Global near Infrared Models to Predict Lignin and Cellulose Content of Pine Wood , 2010 .

[2]  C. Durel,et al.  Genomic mapping in Pinus pinaster (maritime pine) using RAPD and protein markers , 1995, Heredity.

[3]  B. Baltunis,et al.  Genetic analysis of early field growth of loblolly pine clones and seedlings from the same full-sib families , 2007 .

[4]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[5]  M. Ivimey Annual report , 1958, IRE Transactions on Engineering Writing and Speech.

[6]  James B. Reeves,et al.  Multivariate analyses of visible/near infrared (VIS/NIR) absorbance spectra reveal underlying spectral differences among dried, ground conifer needle samples from different growth environments , 2003 .

[7]  G. Bai,et al.  Bidirectional introgression between Pinus taeda and Pinus echinata: evidence from morphological and molecular data , 2004 .

[8]  W. Foley,et al.  Ecological applications of near infrared reflectance spectroscopy – a tool for rapid, cost-effective prediction of the composition of plant and animal tissues and aspects of animal performance , 1998, Oecologia.

[9]  Richard F. Daniels,et al.  Determination of Basic Density and Moisture Content of Merchantable Loblolly Pine Logs by near Infrared Spectroscopy , 2011 .

[10]  Karin Fackler,et al.  A Review of Band Assignments in near Infrared Spectra of Wood and Wood Components , 2011 .

[11]  M. D. Atkinson,et al.  Discrimination between Betula pendula, Betula pubescens, and their hybrids using near-infrared reflectance spectroscopy , 1997 .

[12]  H. Dungey Pine hybrids — a review of their use performance and genetics , 2001 .

[13]  A. Rasmussen,et al.  Indole-3-butyric acid accelerates adventitious root formation and impedes shoot growth of Pinus elliottii var. elliottii × P. caribaea var. hondurensis cuttings , 2011, New Forests.

[14]  Kitt G. Payn,et al.  Performance of two Pinus patula hybrids in southern Africa , 2012 .

[15]  David L. Peterson,et al.  Foliar analysis using near infrared reflectance spectroscopy , 1988 .

[16]  R. Barnes,et al.  Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra , 1989 .

[17]  Laurence R. Schimleck,et al.  Extending Near Infrared Reflectance(NIR) Pulp Yield Calibrations to NewSites and Species , 2006 .

[18]  H. Budak,et al.  Potential Uses of Molecular Markers in Crop Improvement , 2004 .

[19]  Roger Meder,et al.  A Multi-Site, Multi-Species near Infrared Calibration for the Prediction of Cellulose Content in Eucalypt Woodmeal , 2010 .

[20]  A. R. Griffin,et al.  Discrimination between seedlings of Eucalyptus globulus, E. nitens and their F1 hybrid using near-infrared reflectance spectroscopy and foliar oil content , 2008 .

[21]  J. Shenk,et al.  Application of NIR Spectroscopy to Agricultural Products , 1992 .

[22]  J. Madrigal Tropical Pine Hybrid Verification using Single Nucleotide Polymorphisms (SNPs) Marker Technology: Case Studies and Applications to the Forestry Industry. , 2011 .

[23]  E. A. Kirkby,et al.  Calcium as a plant nutrient , 1984 .

[24]  K. Potter,et al.  Genetic Diversity and Gene Exchange in Pinus oocarpa, a Mesoamerican Pine with Resistance to the Pitch Canker Fungus (Fusarium circinatum) , 2009, International Journal of Plant Sciences.

[25]  W. Dvorak,et al.  Assessing evolutionary relationships of pines in the Oocarpae and Australes subsections using RAPD markers , 2000, New Forests.

[26]  D. Grattapaglia,et al.  Analysis of genetic relationships of Central American and Mexican pines using RAPD markers that distinguish species , 1997 .

[27]  B. Furman,et al.  Quantifying the geographic range of Pinus patula var longipedunculata in Southern Mexico using morphologic and RAPD marker data , 2001 .

[28]  L. López-Mata,et al.  The Pines of Mexico and Central America , 1991 .

[29]  Spatially-Resolved Radial Scanning of Tree Increment Cores for near Infrared Prediction of Microfibril Angle and Chemical Composition , 2010 .

[30]  Michael J. Wingfield,et al.  The pitch canker fungus, Fusarium circinatum: implications for South African forestry , 2011 .

[31]  M. Kirschbaum,et al.  Discrimination between Betula pendula , Betula pubescens , and their hybrids using near-infrared reflectance spectroscopy , 1997 .

[32]  M. Conkle Isozyme variation and linkage in six conifer species. , 1981 .

[33]  J. Frampton,et al.  Effects of nursery characteristics on field survival and growth of loblolly pine rooted cuttings. , 2002 .

[34]  L. Schimleck,et al.  Toward Global Calibrations for Estimating the Wood Properties of Tropical, Sub-Tropical and Temperate Pine Species , 2010 .