2010
DOI: 10.2989/20702620.2010.547270
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The use of near-infrared scanning for the prediction of pulp yield and chemical properties ofPinus patulain the Mpumalanga escarpment area of South Africa

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Cited by 5 publications
(1 citation statement)
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“…One tree was randomly selected from the first quartile (small diameter), two trees from the second quartile, three trees from the third quartile and four trees from the fourth quartile (large diameters). These sample trees were also used by other researchers for previous studies related to strength and stiffness variation, structural grading and pulping properties (Kipuputwa et al 2010, Dowse and Wessels 2013, Wessels et al 2014). Five of the ten trees per compartment were randomly selected for the purposes of this study, giving thirty trees for the whole study.…”
Section: Introductionmentioning
confidence: 99%
“…One tree was randomly selected from the first quartile (small diameter), two trees from the second quartile, three trees from the third quartile and four trees from the fourth quartile (large diameters). These sample trees were also used by other researchers for previous studies related to strength and stiffness variation, structural grading and pulping properties (Kipuputwa et al 2010, Dowse and Wessels 2013, Wessels et al 2014). Five of the ten trees per compartment were randomly selected for the purposes of this study, giving thirty trees for the whole study.…”
Section: Introductionmentioning
confidence: 99%