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Genetic variation and selection of half‑sib families of Pinus sibirica in the Xinlin district of the Greater Khingan Range
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作者 Xudong Li Guijie Han +6 位作者 Yujun Zhou Binghua Chen Jie Zhang Fei Yang Liming Wang Guifeng Liu Huiyu Li 《Journal of Forestry Research》 2025年第6期235-247,共13页
To investigate the genetic variation patterns of multiple traits in Pinus sibirica half_sibling families introduced to the Greater Khingan Range,this study aims to establish a comprehensive trait evaluation system bas... To investigate the genetic variation patterns of multiple traits in Pinus sibirica half_sibling families introduced to the Greater Khingan Range,this study aims to establish a comprehensive trait evaluation system based on genetic parameters and identify fast-growing,high-quality genetic materials.The findings provide scientific support for advanced-generation seed orchard development and multiobjective genetic improvement.A total of 66 half-sibling families from a 26-year-old trial plantation of the Tomsk seed source were evaluated.Eleven traits were measured,including growth traits(tree height,diameter at breast height,volume,and crown width),morphological traits(lateral branch diameter),wood quality traits(Pilodyn value),and needle traits(fresh weight,dry weight,moisture content,needle length,and needle width).Genetic parameters were estimated using variance component decomposition.Superior families with favorable performance in both growth and wood density traits were identified using Best Linear Unbiased Prediction(BLUP)weighted by genetic correla-tion coefficients.Additionally,individual tree selection was conducted based on growth traits using the index selection method.Significant genetic differences among families(Z ratio>1.50)were observed for 10 traits,including growth,wood density,and needle traits.The phenotypic coefficient of variation(PCV:5.05%-62.50%)and genetic coefficient of variation(GCV:2.19%-13.81%)exhibited substantial heterogeneity.Volume displayed the highest variation(PCV=62.50%,GCV=13.81%),while the highest family heritability was observed for the needle length-to-width ratio(h^(2)=78.30%),and the highest individual heritability was rec-orded for needle moisture content(H^(2)=95.22%).Genetic correlations analysis revealed strong positive associ-ations between volume and tree height(r=0.880),diameter at br-east height(r=0.968),and Pilodyn value(r=0.508).Using the BLUP method,13 superior families(e.g.,Families 59,11 and 51)were identified,with an average genetic gain in volume of 13.377%and a family retention rate of 70%,significantly exceeding the population mean(65.10%).Th-rough index selection,94 elite individual trees were selected,52.14%of which originated from superior families.The genetic gain in individual tree volume reached 26.80%,with the within family gain for elite individuals increasing to 28.47%.This study establishes the first multitrait genetic evaluation model for P.sibirica and proposes a“familyindividual”collaborative selection strategy.The selected superior families achieved avolume genetic gain of 3.864%-32.307%and an overall geneticgain of 2.729%-20.069%,while elite individual trees exhibited a volume genetic gain of 16.328%-52.716%.These findings would provide critical technical support for multi-objective breeding and seed orchard development in cold-temperate coniferous species. 展开更多
关键词 Pinus sibirica Half-sib family Genetic parameter estimation Selection of families and single plants
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A Highly Selective Colorimetric Sensor for Cu^2+ Based on Phenolic Group Biscarbonyl Hydrazone
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作者 Junjian Li Ying Guo +4 位作者 Hong Yao Qi Lin Yongqiang Xie Taibao Wei Youming Zhang 《Chinese Journal of Chemistry》 SCIE CAS CSCD 2013年第2期271-276,共6页
A novel copper selective sensor 2 based on hydrazide and salicylaldehyde has been designed and prepared. Sensor 2 behaves a single selectivity and sensitivity in the recognition for Cu2+ over other metal ions such as... A novel copper selective sensor 2 based on hydrazide and salicylaldehyde has been designed and prepared. Sensor 2 behaves a single selectivity and sensitivity in the recognition for Cu2+ over other metal ions such as Fe3+, Hg2+, Ag+, Ca2+, Zn2+, Pb2+, Cd2+, Ni2+, Co2+, Cr3+ and Mg2+ in DMSO. The distinct color change and the rapid changement of fluorescence emission provide naked-eyes detection for Cu2+. The UV-vis data indicate that 1 : 2 stoichiometry complex is formed by sensor 2 and Cu2+. The association constant Ks was 3.51 × 104 mol 1%. The detection limitation of Cu2+ with the sensor 2 was 2.2 × 10.7 mol·L^-1. The sensing of Cu2+ by this sensor was found to be reversible, with the Cu2+-induced color being lost upon addition of EDTA. 展开更多
关键词 copper ion colorimetric sensor biscarbonyl hydrazone single selectivity
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