温室
选择(遗传算法)
生物量(生态学)
生物
基因组选择
林木育种
人口
树(集合论)
生物技术
生态学
农林复合经营
农学
计算机科学
基因型
数学
遗传学
木本植物
人口学
数学分析
社会学
单核苷酸多态性
人工智能
基因
作者
Filipe Couto Alves,Kelly M. Balmant,Márcio F. R. Resende,Matias Kirst,Gustavo de los Campos
出处
期刊:The Plant Genome
[Crop Science Society of America]
日期:2020-08-20
卷期号:13 (3)
被引量:22
摘要
Abstract Breeding forest species can be a costly and slow process because of the extensive areas needed for field trials and the long periods (e.g., five years) that are required to measure economically and environmentally relevant phenotypes (e.g., adult plant biomass or plant height). Genomic selection (GS) and indirect selection using early phenotypes (e.g., phenotypes collected in greenhouse conditions) are two ways by which tree breeding can be accelerated. These approaches can both reduce the costs of field‐testing and the time required to make selection decisions. Moreover, these approaches can be highly synergistic. Therefore, in this study, we used a data set comprising DNA genotypes and longitudinal measurements of growth collected from a population of Populus deltoides W. Bartram ex Marshall (eastern cottonwood) in the greenhouse and the field, to evaluate the potential impact of integrating large‐scale greenhouse phenotyping with conventional GS. We found that the integration of greenhouse phenotyping and GS can deliver very early selection decisions that are moderately accurate. Therefore, we conclude that the adoption of these approaches, in conjunction with reproductive techniques that shorten the generation interval, can lead to an unprecedented acceleration of selection gains in P. deltoides and, potentially, other commercially planted tree species.
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