Integrating multivariate selection indices with weighted rank aggregation to identify drought-tolerant Populus simonii × P. nigra F1 progenies
Zhengyuan Zhou, Mingrong Cao, Dongxu Jia, Chenggong Liu, Qinjun Huang, Jinhua Li

TL;DR
This study combines multivariate selection methods to identify poplar hybrids that are both drought-tolerant and have good growth traits.
Contribution
The novel integration of multivariate selection indices with Weighted Rank Aggregation improves multi-trait selection in poplar breeding.
Findings
High heritability was found for key growth traits in hybrid poplar progenies.
WRA integration identified genotypes combining drought tolerance with favorable growth and physiological traits.
Selected genotypes like C4-246 and E4-70 showed consistent performance across multiple selection indices.
Abstract
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. We assessed 372 F1 progenies from three families of Populus simonii × 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. 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…
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Taxonomy
TopicsBioenergy crop production and management · Genetics and Plant Breeding · Genetic and phenotypic traits in livestock
