<p>The global demand for timber is increasing, making it crucial to boost productivity and improve wood quality through focused tree breeding programs. Conventional evaluations of wood quality are destructive, lengthy, and not suitable for extensive assessments. Near-infrared spectroscopy (NIRS) offers a rapid, non-destructive alternative method capable of evaluating structural, anatomical, and chemical traits of wood. Integrating NIRS into breeding programs can accelerate the selection of superior genotypes while preserving valuable genetic resources. This review evaluates the both historical and contemporary applications of NIRS for qualitative and quantitative analysis in tree genetics and breeding. It covers aspects such as wood characterization, pulp yield estimation, predictimg chemical, mechanical, and anatomical properties including microfibril angle, distinguishing tree species, wood- and insect-pest types, as well as assessment of moisture content, and biofuel potential. Furthermore, limitation and prospective application trends of NIRS in tree breeding and genetics were discussed.</p>

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Near infrared spectroscopy in tree improvement and wood quality characterization: a review

  • Bhumika Kaushik,
  • Shailendra Kumar,
  • Krishna Kant Shukla,
  • Ashok Kumar,
  • Anchal Rana

摘要

The global demand for timber is increasing, making it crucial to boost productivity and improve wood quality through focused tree breeding programs. Conventional evaluations of wood quality are destructive, lengthy, and not suitable for extensive assessments. Near-infrared spectroscopy (NIRS) offers a rapid, non-destructive alternative method capable of evaluating structural, anatomical, and chemical traits of wood. Integrating NIRS into breeding programs can accelerate the selection of superior genotypes while preserving valuable genetic resources. This review evaluates the both historical and contemporary applications of NIRS for qualitative and quantitative analysis in tree genetics and breeding. It covers aspects such as wood characterization, pulp yield estimation, predictimg chemical, mechanical, and anatomical properties including microfibril angle, distinguishing tree species, wood- and insect-pest types, as well as assessment of moisture content, and biofuel potential. Furthermore, limitation and prospective application trends of NIRS in tree breeding and genetics were discussed.