• 한국산림과학회지
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• 제80권4호
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• pp.379-382
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• 1991

난괴법 3반복(反復)으로 배치(配置)한 잣나무 10년생(年生) 반형매차대검정림(半兄妹次代檢定林)에서 plot당(當) 임의(任意)로 2-10본(本)의 표본목(標本木)을 선정(選定)한 후(後), 분산분석(分散分析)을 통하여 가계평균(家系平均) 수고(樹高)의 오차(誤差)를 나타내는 C.V. 값을 각(各) sampling size 별(別)로 추정(推定), 비교(比較)하였다. plot당(當) 표본목수(標本木數)를 증가(增加)시킴에 따라 C.V.값은 점차 감소(減少)되었으며, plot당(當) 4본(本)부터 안정(安定)된 C.V. 값(6.97%)을 나타내었으나, plot당(當) 7본(本)부터는 실험오차(實驗誤差)가 증가(增加)됨을 알 수 있었다. 이들 두 변량간(變量間)에 ${\hat{Y}}=10.425e-^{0.073x}$ ($R^2$=0.840)의 관계식(關係式)을 추정(推定)할 수 있었다.

• Journal of Forest and Environmental Science
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• 제31권3호
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• pp.235-240
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• 2015

Zelkova serrata is an important hardwood species for the timber industry in Japan. Tree breeding programs for this species have mainly focused on growth characteristics such as stem diameter (D), tree height (TH), stem form, and branching. In order to fulfill timber industry needs, wood quality improvement should be included in the tree breeding program of this species. In the present study, growth characteristics, such as D and TH, and the stress-wave velocity (SWV), which is highly correlated with Young's modulus of wood, were measured for 20-year-old Z. serrata from eight half-sib families planted in a progeny test site with three different initial spacings. Significant differences in all the measured characteristics were found among the eight half-sib families. The variance components of the half-sib families for D, TH, and SWV were 27.2%, 47.3%, and 33.5%, respectively. These results indicate that all the measured characteristics of this species could be improved by tree breeding programs. In addition, only low correlation coefficients were obtained between the growth characteristics and SWV, indicating that extensive selection on SWV in tree breeding programs may not always lead to a reduction in yield volume.

• Asian-Australasian Journal of Animal Sciences
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• 제19권12호
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• pp.1702-1705
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• 2006

A simulation study was conducted to evaluate a fine-mapping method exploiting population-wide linkage disequilibrium. Data were simulated according to the pedigree structure based on a large paternal half-sib family population with a total of 1,034 or 2,068 progeny. Twenty autosomes of 100 cM were generated with 5 cM or 1 cM marker intervals for all founder individuals in the pedigree, and marker alleles and a number of quantitative trait loci (QTL) explaining a total of 70% phenotypic variance were generated and randomly assigned across the whole chromosomes, assuming linkage equilibrium between the markers. The founder chromosomes were then descended through the pedigree to the current offspring generation, including recombinants that were generated by recombination between adjacent markers. Power to detect QTL was high for the QTL with at least moderate size, which was more pronounced with larger sample size and denser marker map. However, sample size contributed much more significantly to power to detect QTL than map density to the precise estimate of QTL position. No QTL was detected on the test chromosomes in which QTL was not assigned, which did not allow detection of false positive QTL. For the multiple QTL that were closely located, the estimates of the QTL positions were biased, except when the QTL were located on the right marker positions. Our fine mapping simulation results indicate that construction of dense maps and large sample size is needed to increase power to detect QTL and mapping precision for QTL position.