Favorable conditions for genomic evaluation to outperform classical pedigree evaluation highlighted by a proof-of-concept study in poplar

Recherche Data Gouv France2025-01-01 更新2026-04-09 收录

林木基因组选择

育种项目评估

数据链接：

https://entrepot.recherche.data.gouv.fr/citation?persistentId=doi:10.15454/4FWANJ 数据链接链接失效反馈

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资源简介：

Dataset of genomic evaluation in black poplar breeding program

创建时间：

2025-01-01

高效利用土壤磷杉木基因型的筛选研究

林木基因组选择

土壤磷利用

1、主要研究内容针对杉木连栽生产力下降和二代更新困难的现实，本项目在国家自然科学基金、国家林业局“948”、教育部博士学科点基金等16个项目资助下，历时12年，全面研究了不同栽植代数、不同立地、不同林龄、不同地理种源、不同无性系等杉木林的磷素利用特征利用英国和瑞典引进野外磷高效利用林木基因型的筛选技术，进行磷高效利用杉木基因型的初步筛选在收集和营建不同磷效率特征的杉木种质资源库基础上，

国家林业和草原科学数据中心2019-12-27 更新130

Efficiency of genomic prediction across two Eucalyptus nitens seed orchards with different selection histories

林木基因组选择

林木遗传改良

Genomic selection is expected to enhance the genetic improvement of forest tree species by providing more accurate estimates of breeding values through marker-based relationship matrices compared with

DataONE2020-06-24 更新30

Efficiency of genomic prediction across two Eucalyptus nitens seed orchards with different selection histories

林木基因组选择

木材性状育种

NIAID Data Ecosystem30

Datasets_pVAC_Paper_Esuma_2020

林木基因组选择

类胡萝卜素性状预测

Raw phenotypes for cassava genotypes used for testing genomic selection efficacy for provitamin A carotenoid and associated traits. Included are DArTSeq marker data and cassava map v6.1

Figshare2020-08-03 更新80

Additional file 8: of Evaluating the accuracy of genomic prediction of growth and wood traits in two Eucalyptus species and their F1 hybrids

林木基因组选择

性状预测

Mean and standard deviation of predictive ability estimated with SNPs in four genomic locations, with two statistical methods (RKHS and GBLUP), four Training Set/Validation Set compositions for each o

NIAID Data Ecosystem30

Favorable conditions for genomic evaluation to outperform classical pedigree evaluation highlighted by a proof-of-concept study in poplar

资源简介：

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