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21.
《Scandinavian Journal of Forest Research》2012,27(1-4):85-93
Cortical oleoresins were obtained from 10 natural populations of Pinus sylvestris L. from different geographical localities. Gas chromatography was used to determine quantities of individual monoterpenes. Considerable variation was found in monoterpene composition among different populations. High proportions of limonene occurred in greater percentages in trees of northern origins, while high sabinene was frequently found in southern trees. Mean proportions of limonene and sabinene in the populations were clinal with latitude. For some monoterpenes, variation coefficients as a measure of variability within populations appeared to be clinal with latitude. 85.4% of the variance in monoterpene composition was found within populations and 14.6 between populations. Discriminant analysis differentiates populations from different geographical localities into different groups. The differences in monoterpene patterns between adjacent populations were statistically nonsignificant. It is recommended that monoterpene composition be used for more general study of genetic variation, geographical distinction between different populations and seed certification purposes. 相似文献
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首次在陕西榆林发现针叶小爪螨危害樟子松。经用7种化学药剂野外防治试验,其中三氯杀螨醇,克螨特,双甲脒施药3天后虫口减退均达85%以上。 相似文献
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樟子松种子变异与种子品质关系的研究 总被引:3,自引:0,他引:3
樟子松(PinusSylvestrisvarmongolica)是一个变异水平较高的树种,不仅其冠型、干型、皮包型、分枝角侧枝粗普遍存在变异,而且球果大小、颜色和球果表面鳞盾形状以及种子的颜色。大小也发生变异,本文着重研究变异和种子品质的关系,并分析种子变异的原因。 相似文献
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不同类型樟子松人工固沙林土壤质量的研究 总被引:10,自引:0,他引:10
从土壤微生物 ,土壤持水性、土壤物理、化学性质方面探讨不同类型樟子松人工固沙林土壤质量状况 ,得出针阔混交林比针叶纯林土壤质量高。松杨混交林、松枫混交林下微生物细菌、真菌数量分别比樟子松纯林高 1~ 3倍 ,表层枯枝落叶量比纯林高 8.5 4%~ 10 .0 2 % ,0~ 2 0cm最大持水量提高了 4~ 5个百分点。不同林分类型间土壤容重差异不大 ,混交林有降低趋势 ;养分状况表层有较明显差异 ,但深层土壤中除速效N之外 ,其它各项养分含量差异不明显 ,表明林木对土壤的改良作用是一个长期的持续过程 相似文献
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Anders Berglund Olof Broman Johan Oja Anders Grönlund 《Scandinavian Journal of Forest Research》2015,30(1):87-97
To define new grading rules, or to customize the ones in use in a rule-based automatic grading (RBAG) system of boards, is a time-consuming job for a sawmill engineer. This has the effect that changes are rarely made. The objective of this study was to continue the development of a method that replaces the calibration of grading rule settings by a holistic-subjective automatic grading, using multivariate models. The objective was also to investigate if this approach can improve sawmill profitability and at the same time have a satisfied customer. For the study, 323 Scots pine (Pinus sylvestris L.) boards were manually graded according to the preferences of an important customer. That is, a customer that regularly purchases significant volumes of sawn timber. This manual grading was seen as reference grading in this work. The same boards were also scanned and graded by a RBAG system, calibrated for the same customer. Multivariate models for prediction of board grade based on aggregated knot variables, obtained from the scanning, were calibrated using partial least squares regression. The results show that prediction of board grades by the multivariate models were more correct, with respect to the manual grading, than the grading by the RBAG system. The prediction of board grades based on multivariate models resulted in 76–87% of the boards graded correctly, according to the manual grading, while the corresponding number was 63% for the RBAG system. 相似文献