Variation in Wood Properties and Growth in Some Clones of &amp;lt;i&amp;gt;Populus deltoides&amp;lt;/i&amp;gt; Bartr. ex Marsh

Pande, P. K.

doi:10.4236/ajps.2011.25076

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…Machine learning and spectroscopy have already been used separately for clone determination. Likewise, machine learning algorithms have been used to distinguish clones from Eastern Cottonwood (Pande 2011), grapes (Ferrandino & Guidoni 2010) or cocoa (Engels 1983) using chemical or morphological features measured through complex and slow methods. Spectroscopic measurements in their turn have been used to distinguish clones of the rubber plant (Osman et al .…”

Section: Introductionmentioning

confidence: 99%

Automatic discrimination of grapevine (Vitis viniferaL.) clones using leaf hyperspectral imaging and partial least squares

et al. 2014

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A worldwide innovative method to discriminate grapevine clones is presented. It is an alternative to ampelography, isozyme and DNA analysis. The spectra and their first and second derivatives of 201 bands in the visible and near-infrared wavelength range between 634 and 759 nm were used as inputs to a classifier created using partial least squares. The spectra were acquired in the laboratory for the adaxial side of the apical part of the main lobe of fully hydrated grapevine leaves. The classifier created allowed the separation of 100 leaves of the Cabernet Sauvignon (Vitis vinifera L.) variety into four clones, namely CS 15, CS 169, CS 685 and CS R5, comprising 25 leaves each. The percentages of leaves correctly classified for these clones were 98·2, 99·2, 100 and 97·8%, respectively, when the classifier input was the second derivative of the normalized spectra. These percentages were determined by Monte-Carlo cross-validation. With the new method proposed, each leaf of a given variety can be classified in a few seconds according to its clone in an environmentally friendly way.

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Section: Introductionmentioning

confidence: 99%

Automatic discrimination of grapevine (Vitis viniferaL.) clones using leaf hyperspectral imaging and partial least squares

et al. 2014

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“…Fiber length impacts paper characteristics such as strength, optical properties, and surface quality. The microfibril angle (MFA), one of the main factors used to determine wood mechanical properties, provides a correlation between wood density and FL, affecting the elastic modulus of the wood, as well as anisotropic shrinkage, and low MFA can result in wood with high stiffness and strength [11]. In addition, crystallinity and water absorption are closely tied to the multifaceted performance of wood [12,13].…”

Section: Introductionmentioning

confidence: 99%

Variation in the Growth Traits and Wood Properties of Hybrid White Poplar Clones

Dong

Chen

et al. 2015

Forests

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Abstract:The physical and chemical properties of poplar clones largely determine their suitability for different applications. The main objective of this study was to investigate clonal variation in four hybrid poplar clones grown at three sites in North China and identify the superior clone. Study materials were collected from four clones of hybrid white poplar: Populus tomentosa "LM50", used as the control; two clones (Yiyang-1 and Yiyang-2), new hybrids of (P. tomentosa × P. bolleana) × P. tomentosa "Truncata"; and Yiyang-3, a new hybrid of (P. tomentosa × P. bolleana) × P. tomentosa "LM50". In total, 192 individuals from four hybrid clones were randomly chosen for sampling. The growth traits of four 7-year-old clones were examined at three sites. We also measured the wood properties of four 6-year-old clones at the Fengfeng nursery. Variation in the growth traits and the ranking of stem volumes differed among sites. Fiber traits and wood chemical components showed significant interclonal variation. With regard to the comprehensive growth rate, cellulose content, holocellulose content, and fiber traits, Yiyang-1 exhibited the best performance among the four hybrid poplar clones, indicating its utility as a raw material for pulp and papermaking. OPEN ACCESSForests 2015, 6 1108

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“…Economics of the system: Economic benefits from different tree species and their spacings in agrisilvicultural system with wheat as intercrop during this particular crop season are given in Table 4.7. For the calculation of timber quantity, the specific gravity (Pande, 2011), 0.60 and 0.66 has been taken for Eucalyptus and Melia species, respectively, whereas, for spacing, the average specific gravity of both timber species was taken. Gross income for the system (`/ha) was worked out to be `62296 and 48667/-for Eucalyptus and Melia, respectively, and `61922, 57931, 56839 and 50386/-for tree spacing sviz.3.0m x 1.0m, 3.0 m x 1.5m, 3.0 m x 2.0m and 3.0m x 2.5m, respectively.…”

Section: Yield Attributesmentioning

confidence: 99%

Impact of planting density on wheat crop grown under different tree species in tarai agroforestry system of central himalaya, India

Satyawali

Chaturvedi

Bisht

et al. 2018

JANS

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Abstract:A field trial based Agroforestry system was established at Pantnagar during Rabi season 2012-13 for predicting the effect of spacing on growth and yield of wheat (Triticum aestivum L.) under Eucalyptus camaldulensis and Melia azedarach. The experiment was carried out in split-plot design consisting of two tree species in main plot, viz, Eucalyptus camaldulensis and Melia azedarch and four spacing treatments in sub-plot viz, 3.0m×1.0m, 3.0m×1.5m, 3.0m×2.0m and 3.0m×2.5m with three replications. The wheat crop variety"UP-2338" was sown on December 06, 2012 and harvested on April 27, 2013. Among the tree species, the maximum (15.1 q /ha) and significantly higher grain yield with 21.8% increment was recorded under Melia as compare to Eucalyptus. Whereas, among the different spacings, the wheat growth in terms of dry biomass at 120 DAS (495.4/m 2 ), yield attributes and yield in terms of grain (16.0 q/ha), straw (29.4 q/ha) and biological yield (45.4 q/ha) under Melia was significantly higher at 3 × 2.5 m spacing as compared to other planting density. The correlation coefficient (r) studies exhibited that wheat growth and yield attributing characteristics shows significantly (p<0.05) high degree (r=0.75 to 1) positive correlation with each other. The investigation was done to find out the proper planting density for intercropping of wheat with tree species without comprising the wheat growth and enhancing its sustainability.

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Variation in Wood Properties and Growth in Some Clones of <i>Populus deltoides</i> Bartr. ex Marsh

Abstract: The present paper deals with within ramet radial, intra-and inter-clonal variations

Cited by 6 publications

References 8 publications

Automatic discrimination of grapevine (Vitis viniferaL.) clones using leaf hyperspectral imaging and partial least squares

Automatic discrimination of grapevine (Vitis viniferaL.) clones using leaf hyperspectral imaging and partial least squares

Variation in the Growth Traits and Wood Properties of Hybrid White Poplar Clones

Impact of planting density on wheat crop grown under different tree species in tarai agroforestry system of central himalaya, India

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