Evidence map›Paper›PMID 41549279›Full record

ArticleBMC plant biology2026

Integrating multivariate selection indices with weighted rank aggregation to identify drought-tolerant Populus simonii × P. nigra F

Zhengyuan Zhou, Mingrong Cao, Dongxu Jia, Chenggong Liu, Qinjun Huang, Jinhua Li

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Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Zhengyuan Zhou *State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.
Mingrong Cao *State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.
Dongxu JiaState Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.
Chenggong LiuState Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.
Qinjun HuangState Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.
Jinhua LiState Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China. lijinh@caf.ac.cn.

Funding

National Key Research and Development Project during the 14th Five-year Plan Period 2022YFD2200301
6 · The paper itself

Abstract

backgroundBreeding 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.

methodsWe assessed 372 F

resultsGenetic 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.

conclusionsIntegrating 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.

Indexed as

Plant BreedingPopulusSelection, GeneticDrought ResistanceDroughtsGenotypePhenotypeDrought toleranceMGIDIMultivariate selectionP. simonii × P. nigraSmith-Hazel indexWeighted Rank Aggregation (WRA)

Identifiers

PMID41549279
PMCPMC12895644

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