Petiole length reduction is an indicator of waterlogging stress for Trifolium subterraneum ssp. yanninicum

Plant and Soil(2022)

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摘要
Background and aims The pasture legume Trifolium subterraneum ssp. yanninicum exhibits waterlogging tolerance. This study investigates diversity for waterlogging tolerance within ssp. yanninicum . We tested the hypotheses that (1) variation for waterlogging tolerance exists within ssp. yanninicum and (2) is related to phenotypic and growth trait differences, which (3) reflect eco-geographic variables at site of origin. Methods Twenty-eight diverse ssp. yanninicum ecotypes collected from the Mediterranean region and four cultivars were grown in a controlled environment glasshouse. Seedling traits were measured at 14 and 21 days after sowing. Waterlogged and free-draining (control) treatments were then imposed for 28 days. Relative distance and multivariate plasticity indices were calculated. Results Under waterlogging, shoot (87–108% of controls) and root (80–116% of controls) relative growth rates (RGRs) differed significantly among ssp. yanninicum . Waterlogging tolerance, as assessed by shoot RGR, had strong positive correlations with root RGR ( r = 0.86; P < 0.001), petiole length ( r = 0.59; P < 0.001) and leaf size ( r = 0.55; P < 0.01) under waterlogging. The proportion of biomass as leaf increased under waterlogging, due to leaf size being maintained (mean 102% of controls), but petiole length decreased (mean 84% of controls). Petiole length was the most plastic trait. Seed size, seedling traits, maturity duration and eco-geographic variables at site of origin were not related to waterlogging tolerance. Conclusions Wide variation in waterlogging tolerance exists within ssp. yanninicum . Petiole length reduction, an easy-to-measure and non-destructive indicator, could be used as a preliminary selection tool when screening large numbers of ssp. yanninicum for waterlogging tolerance in a breeding program.
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关键词
Pasture legumes, Genetic resources, Phenotypic plasticity, Heritability, Eco-geographic variables
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