In the present study, the genetic distances between 85 superior clones from seven natural populations of Pinus kesiya var. langbianensis were analyzed by RAPD-PCR assays, and then, a UPGMA cluster diagram was establis...In the present study, the genetic distances between 85 superior clones from seven natural populations of Pinus kesiya var. langbianensis were analyzed by RAPD-PCR assays, and then, a UPGMA cluster diagram was established based on the genetic distances to reveal their genetic relationship. In addition, specific markers of elite clones were identified by carefully comparing the fingerprints of the 85 clones. The results showed that the 85 P. kesiya clones were divided into three groups at a genetic distance of 0.59. Two specific markers that were able to distinguish some elite clones from others were identified. The results may provide a molecular basis for the identification and selection of elite clones of Pinus kesiya var. langbianensis.展开更多
A total of 128 Simao pine trees （Pinus kesiya var. langbianensis） from three regions of Pu＇er City, Yunnan Province, People＇s Republic of China, were destructively sampled to obtain tree aboveground biomass （AGB...A total of 128 Simao pine trees （Pinus kesiya var. langbianensis） from three regions of Pu＇er City, Yunnan Province, People＇s Republic of China, were destructively sampled to obtain tree aboveground biomass （AGB）. Tree variables such as diameter at breast height and total height, and topographical factors such as altitude, aspect of slope, and degree of slope were recorded. We considered the region and site quality classes as the ran- dom-effects, and the topographic variables as the fixed- effects. We fitted a total of eight models as follows： least- squares nonlinear models （BM）, least-squares nonlinear models with the topographic factors （BMT）, nonlinear mixed-effects models with region as single random-effects （NLME-RE）, nonlinear mixed-effects models with site as single random-effects （NLME-SE）, nonlinear mixed-ef- fects models with the two-level nested region and site random-effects （TLNLME）, NLME-RE with the fixed-ef- fects of topographic factors （NLMET-RE）, NLME-SE with the fixed-effects of topographic factors （NLMET-SE）, and TLNLME with the fixed-effects of topographic factors （TLNLMET）. The eight models were compared by modelfitting and prediction statistics. The results showed： model fitting was improved by considering random-effects of region or site, or both. The models with the fixed-effects of topographic factors had better model fitting. According to AIC and BIC, the model fitting was ranked as TLNLME 〉 NLMET-RE 〉 NLME-RE.〉 NLMET-SE 〉 TLNLMET 〉 NLME-SE 〉 BMT 〉 BM. The differences among these models for model prediction were small. The model pre- diction was ranked as TLNLME 〉 NLME-RE 〉 NLME- SE 〉 NLMET-RE 〉 NLMET-SE 〉 TLNLMET 〉 BMT 〉 BM. However, all eight models had relatively high prediction precision （〉90 %）. Thus, the best model should be chosen based on the available data when using the model to predict individual tree AGB.展开更多
The authors investigated the genetic diversity of 29 natural populations representing Pinus yunnanensis Franch. and its two close relatives, P. densata Mast. and P. kesiya Royle ex Gordn. var. langbianensis (A Chey.) ...The authors investigated the genetic diversity of 29 natural populations representing Pinus yunnanensis Franch. and its two close relatives, P. densata Mast. and P. kesiya Royle ex Gordn. var. langbianensis (A Chey.) Gaussen. Horizontal starch gel electrophoresis was performed for macrogametophytes collected from populations in Yunnan, Sichuan and Guangxi. Allozyme data for 33 loci of 14 enzymes demonstrated high levels of genetic variation at both population and species levels in comparison with other conifers, with the mean values for populations being P=0.694, A =2.0 and He =0.145 for P. yunnanensis; P=0.714, A=2.0 and He =0.174 for P. densata ; and P=0.758, A=2.1 and He =0.184 for P. kesiya var. langbianensis. Based on Wright’s F _statistics, the fixation index of P. yunnanensis, P. densata and P. kesiya var. langbianensis were 0.101, 0.054 and 0.143, respectively, indicating that the populations were largely under random mating. Based on Nei’s genetic distance, the genetic differentiation was not obvious among the three species (i.e. the genetic distance was less than 0.075). Because of the wider distribution of P. yunnanensis with greater variety of habitats, it was shown that the genetic differentiation among the P. yunnanensis populations was larger than that of the populations of the other two species. According to morphological, geographic and allozymic evidences, the authors suggested that the three species be better treated as varieties under a single species. In addition, the extensive gene flow among the three pine species resulted in great genetic diversity and evolutionary potential. Also, high level of genetic variation of P. yunnanensis provides important basis for its genetic improvement and breeding in future.展开更多
为了选择高产脂的思茅松Pinus kesiya var. langbianensis优良家系,对4.5年生的25个思茅松高产脂优良家系的半同胞及1个对照的产脂力、树高、胸径等进行测定。结果表明:所有家系的产脂力均大于对照,较对照产脂力平均提高达56.6%。方差...为了选择高产脂的思茅松Pinus kesiya var. langbianensis优良家系,对4.5年生的25个思茅松高产脂优良家系的半同胞及1个对照的产脂力、树高、胸径等进行测定。结果表明:所有家系的产脂力均大于对照,较对照产脂力平均提高达56.6%。方差分析结果表明:家系间产脂力存在极显著差异。产脂力的家系遗传力为0.62。初步选择出5个高产脂的优良家系,其产脂力的理论遗传增益为70.9%,现实遗传增益为114.3%。展开更多
基金Supported by Special Fund of National Development and Reform Commission of China for Bio-breeding High Technology Industrialization
文摘In the present study, the genetic distances between 85 superior clones from seven natural populations of Pinus kesiya var. langbianensis were analyzed by RAPD-PCR assays, and then, a UPGMA cluster diagram was established based on the genetic distances to reveal their genetic relationship. In addition, specific markers of elite clones were identified by carefully comparing the fingerprints of the 85 clones. The results showed that the 85 P. kesiya clones were divided into three groups at a genetic distance of 0.59. Two specific markers that were able to distinguish some elite clones from others were identified. The results may provide a molecular basis for the identification and selection of elite clones of Pinus kesiya var. langbianensis.
基金supported by National Natural Science Foundation of China(Grant No.3116015731560209)Application Fundamental Research Plan Project of Yunnan Province,China(Grant No.2012FD027)
文摘A total of 128 Simao pine trees （Pinus kesiya var. langbianensis） from three regions of Pu＇er City, Yunnan Province, People＇s Republic of China, were destructively sampled to obtain tree aboveground biomass （AGB）. Tree variables such as diameter at breast height and total height, and topographical factors such as altitude, aspect of slope, and degree of slope were recorded. We considered the region and site quality classes as the ran- dom-effects, and the topographic variables as the fixed- effects. We fitted a total of eight models as follows： least- squares nonlinear models （BM）, least-squares nonlinear models with the topographic factors （BMT）, nonlinear mixed-effects models with region as single random-effects （NLME-RE）, nonlinear mixed-effects models with site as single random-effects （NLME-SE）, nonlinear mixed-ef- fects models with the two-level nested region and site random-effects （TLNLME）, NLME-RE with the fixed-ef- fects of topographic factors （NLMET-RE）, NLME-SE with the fixed-effects of topographic factors （NLMET-SE）, and TLNLME with the fixed-effects of topographic factors （TLNLMET）. The eight models were compared by modelfitting and prediction statistics. The results showed： model fitting was improved by considering random-effects of region or site, or both. The models with the fixed-effects of topographic factors had better model fitting. According to AIC and BIC, the model fitting was ranked as TLNLME 〉 NLMET-RE 〉 NLME-RE.〉 NLMET-SE 〉 TLNLMET 〉 NLME-SE 〉 BMT 〉 BM. The differences among these models for model prediction were small. The model pre- diction was ranked as TLNLME 〉 NLME-RE 〉 NLME- SE 〉 NLMET-RE 〉 NLMET-SE 〉 TLNLMET 〉 BMT 〉 BM. However, all eight models had relatively high prediction precision （〉90 %）. Thus, the best model should be chosen based on the available data when using the model to predict individual tree AGB.
文摘The authors investigated the genetic diversity of 29 natural populations representing Pinus yunnanensis Franch. and its two close relatives, P. densata Mast. and P. kesiya Royle ex Gordn. var. langbianensis (A Chey.) Gaussen. Horizontal starch gel electrophoresis was performed for macrogametophytes collected from populations in Yunnan, Sichuan and Guangxi. Allozyme data for 33 loci of 14 enzymes demonstrated high levels of genetic variation at both population and species levels in comparison with other conifers, with the mean values for populations being P=0.694, A =2.0 and He =0.145 for P. yunnanensis; P=0.714, A=2.0 and He =0.174 for P. densata ; and P=0.758, A=2.1 and He =0.184 for P. kesiya var. langbianensis. Based on Wright’s F _statistics, the fixation index of P. yunnanensis, P. densata and P. kesiya var. langbianensis were 0.101, 0.054 and 0.143, respectively, indicating that the populations were largely under random mating. Based on Nei’s genetic distance, the genetic differentiation was not obvious among the three species (i.e. the genetic distance was less than 0.075). Because of the wider distribution of P. yunnanensis with greater variety of habitats, it was shown that the genetic differentiation among the P. yunnanensis populations was larger than that of the populations of the other two species. According to morphological, geographic and allozymic evidences, the authors suggested that the three species be better treated as varieties under a single species. In addition, the extensive gene flow among the three pine species resulted in great genetic diversity and evolutionary potential. Also, high level of genetic variation of P. yunnanensis provides important basis for its genetic improvement and breeding in future.
文摘为了选择高产脂的思茅松Pinus kesiya var. langbianensis优良家系,对4.5年生的25个思茅松高产脂优良家系的半同胞及1个对照的产脂力、树高、胸径等进行测定。结果表明:所有家系的产脂力均大于对照,较对照产脂力平均提高达56.6%。方差分析结果表明:家系间产脂力存在极显著差异。产脂力的家系遗传力为0.62。初步选择出5个高产脂的优良家系,其产脂力的理论遗传增益为70.9%,现实遗传增益为114.3%。
