INVESTIGADORES
MONTEOLIVA Mariela Ines
artículos
Título:
Morpho-physiological traits associated with drought responses in soybean (Glycine max L.)
Autor/es:
GUZZO MC; COSTAMAGNA, C; SALLOUM, M S; ROTUNDO, JL; MONTEOLIVA, MI; LUNA, CM
Revista:
CROP SCIENCE
Editorial:
CROP SCIENCE SOC AMER
Referencias:
Lugar: Baltimore; Año: 2020 vol. 61 p. 672 - 688
ISSN:
0011-183X
Resumen:
Drought is currently a major constraint to soybean production worldwide and is becoming more widespread due to increased aridity and warmer temperatures in the context of global climate change. In this context, breeding for soybean varieties more tolerant to drought stress is critical and requires efficient screening techniques. To find traits associated with drought tolerance in the vegetative stage which are still present at the reproductive stage, we evaluated morphological, physiological, and biochemical traits, in two soybean genotypes contrasting in their response to drought stress. Under drought stress at the vegetative stage, the tolerant A 5009 RG genotype showed higher proline and chlorophyll contents, and early activation of the enzymatic antioxidant system compared with well-watered plants. On the other hand, the sensitive ADM 50048 genotype increased malondialdehyde (oxidative damage marker) and non-enzymatic antioxidant response under stress. Manipulative field assays under contrasting levels of water availability at the reproductive stage mimicked the biochemical patterns observed in the greenhouse tests for the sensitive and tolerant genotypes. A principal component analysis of parameters from vegetative and reproductive stages revealed proline and chlorophyll contents as drought-tolerance traits in soybean. We found those traits useful to classify 14 genotypes from the INTA germplasm bank, identifying two new drought-tolerant genotypes (PI548510 and PI200492). We propose proline and chlorophylls as a useful tool to classify soybean genotypes according to its drought responses in early developmental stages, potentially reducing breeding times.