文献类型：期刊文献

英文题名：Integrating multivariate selection indices with weighted rank aggregation to identify drought-tolerant Populus simonii x P. nigra F1 progenies

作者：Zhou, Zhengyuan[1,2] Cao, Mingrong[1,2] Jia, Dongxu[1,2] Liu, Chenggong[1,2] Huang, Qinjun[1,2] Li, Jinhua[1,2]

第一作者：Zhou, Zhengyuan

通信作者：Li, JH[1];Li, JH[2]

机构：[1]Chinese Acad Forestry, Res Inst Forestry, State Key Lab Tree Genet & Breeding, Beijing 100091, Peoples R China;[2]State Forestry & Grassland Adm, Key Lab Tree Breeding & Cultivat, Beijing 100091, Peoples R China

年份：2026

卷号：26

期号：1

外文期刊名：BMC PLANT BIOLOGY

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001688867800001)】；

基金：This research was funded by the National Key Research and Development Project during the 14th Five-year Plan Period (2022YFD2200301).

语种：英文

外文关键词：P. simonii x P. nigra; Drought tolerance; Multivariate selection; Smith-Hazel index; MGIDI; Weighted Rank Aggregation (WRA)

摘要：Background Breeding drought-tolerant poplar cultivars necessitates efficient selection strategies that can simultaneously improve multiple traits. This study evaluated the integration of multivariate selection indices with Weighted Rank Aggregation (WRA) to identify superior genotypes in hybrid poplar progenies. Methods We assessed 372 F-1 progenies from three families of Populus simonii x P. nigra under controlled drought stress and well-watered conditions. Data on 16 growth, leaf, and photosynthetic traits were analyzed using four multivariate indices: the Smith-Hazel Index (SHI), FAI-BLUP, and two Multi-Trait Genotype-Ideal Genotype Distance Index (MGIDI) variants. The rankings were integrated using WRA. Results Genetic parameters revealed high heritability for key growth traits. The selection indices exhibited divergent focus, with SHI showing strong directional selection for growth but sensitivity to multicollinearity, while FAI-BLUP and MGIDI enabled more balanced multi-trait improvements. Most indices were weakly correlated (Spearman's |r| < 0.2), indicating complementary information. Venn analysis identified genotypes (e.g., C4-246, E4-70) performing consistently across multiple indices. The final WRA integration selected robust genotypes, including C2-65, C4-210, E4-115, and E4-70, which combine drought tolerance with desirable growth and physiological characteristics. Conclusions Integrating multiple selection indices with WRA provides a powerful and reliable strategy for selecting drought-tolerant poplar genotypes at the seedling stage. This approach effectively balances genetic gains across traits, enhancing the efficiency of breeding programs for stress resilience.