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Genotype-environment interaction in Cordia trichotoma(Vell.)Arráb.Ex Steud.progenies in two different soil conditions
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作者 Wanderley dos Santos Bruno Marchetti de Souza +5 位作者 Daniele Fernanda Zulian Gilberto Terra Ribeiro Alves João Bosco Vasconcellos Gomes Mário Luiz Teixeira de Moraes Valderês Aparecida de Sousa Ananda Virginia de Aguiar 《Journal of Forestry Research》 SCIE CAS CSCD 2022年第1期309-319,共11页
Investment in silvicultural techniques is noticeably lacking,especially in breeding programs for non-conventional wood species.Studying genotype×environment interaction(G×E)is essential to the development of... Investment in silvicultural techniques is noticeably lacking,especially in breeding programs for non-conventional wood species.Studying genotype×environment interaction(G×E)is essential to the development of breeding programs.Thus,this study aimed to estimate genetic diversity of and the effects of G×E interaction on two progeny tests of Cordia trichotoma,including the estimation of genetic gain and genetic diversity after selection.For the experiment,30 progenies of C.trichotoma were tested at two sites with differing soil textures.Diameter at breast height(1.30 m above soil surface,dbh-cm),total height,diameter at 30 cm from the soil,first branch height,and survival were all monitored for four years.Statistical deviance,best linear unbiased estimator,and harmonic mean of relative performance of genetic values(MHPRVG)were all calculated to predict breeding values,estimate genetic parameters,and analyze deviance.All quantified traits varied significantly among progenies by soil type,with greatest variation recorded for genetic variability.Heritability of the progenies led to predictions of genetic gain,ranging from 7.73 to 15.45%,for dbh at four years of age.The calculated decrease in genetic diversity after selection showed that this parameter should be monitored in subsequent breeding cycles.G×E was low for all tests.The best-performing progenies proved most stable and best adapted to the different environmental conditions tested. 展开更多
关键词 Effective population number Native species PRODUCTIVITY Stability and adaptability Tree improvement
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Status of Distribution of Great Bustard in Northeast Area of China
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作者 李林 王俊红 +1 位作者 沈晓民 徐昂扬 《Journal of Forestry Research》 SCIE CAS CSCD 1998年第2期139-140,共2页
Great bustard is one of the enelangered species in China. It breeds in China. The breeding area is not complete, but scattered, which is from the northeast of Neimenggu grassland to the sand land of Hulunbeier. This b... Great bustard is one of the enelangered species in China. It breeds in China. The breeding area is not complete, but scattered, which is from the northeast of Neimenggu grassland to the sand land of Hulunbeier. This breeding areas are isolated by Daxing’an Mountain, which are Neimeng, Songnen Plain and Kerqin sand land. The total area is about 7810 km2. The estimated total number of Great Bustands in the Northeast area of China is 377 birds. 展开更多
关键词 Great bustard DISTRIBUTION population number
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CNVbase:Batch identification of novel and rare copy number variations based on multi-ethnic population data
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作者 Cheng Zhang Jianqi Lu +5 位作者 Haiyi Lou Renqian Du Shuhua Xu Yiping Shen Feng Zhang Li Jin 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2017年第7期367-370,共4页
Human genetic variants have long been known to play an important role in both Mendelian disorders and common diseases. Notably, pathogenic variants are not limited to single-nucleotide variants. It has become apparent... Human genetic variants have long been known to play an important role in both Mendelian disorders and common diseases. Notably, pathogenic variants are not limited to single-nucleotide variants. It has become apparent that human diseases can also be caused by copy number variations (CNVs), especially patient- specific novel CNVs (lafrate et al., 2004; Sebat et al., 2004; Redon et al., 2006; LuDski, 2007; Zhan~ et al.. 2009: Wu et al.. 2015). 展开更多
关键词 CNVs is for as CNVbase:Batch identification of novel and rare copy number variations based on multi-ethnic population data of on
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