Translator Disclaimer
29 January 2015 Multi-physiological-trait selection indices to identify Lotus tenuis genotypes with high dry matter production under drought conditions
Author Affiliations +
Abstract

Physiological breeding for improving drought tolerance in perennial forage legume species has been a complex task because of the low association between single physiological traits and dry matter (DM) production under drought conditions. The combination of physiological traits in selection indices may be a more effective alternative in identifying drought-tolerant genotypes. In this work, some physiological and agronomical traits were evaluated in 100 Lotus tenuis genotypes. Traits were measured in spaced plants under irrigation and rainfed conditions during two growing seasons in Chillán, Chile. Three multi-physiological trait indices were calculated based on multiple linear regression (SI1), Euclidean distance (SI2) and descriptive statistical parameters (SI3). SI1 and SI2 were significantly correlated with DM production under rainfed conditions, with correlation coefficients of 0.61 and –0.52, respectively. On the other hand, all single physiological traits showed broad genetic variability in the L. tenuis population but a low association with DM production under drought conditions. Therefore, the multi-trait indices are a more effective tool to select drought-tolerant genotypes.

© CSIRO 2015
Luis Inostroza, Hernán Acuña, and José Méndez "Multi-physiological-trait selection indices to identify Lotus tenuis genotypes with high dry matter production under drought conditions," Crop and Pasture Science 66(1), 90-99, (29 January 2015). https://doi.org/10.1071/CP14193
Received: 13 December 2013; Accepted: 1 September 2014; Published: 29 January 2015
JOURNAL ARTICLE
10 PAGES


SHARE
ARTICLE IMPACT
RIGHTS & PERMISSIONS
Get copyright permission
Back to Top