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1.
Indian J Biochem Biophys ; 2012 Feb; 49(1): 63-70
Artículo en Inglés | IMSEAR | ID: sea-140220

RESUMEN

The effect of magnetic field (MF) treatments of maize (Zea mays L.) var. Ganga Safed 2 seeds on the growth, leaf water status, photosynthesis and antioxidant enzyme system under soil water stress was investigated under greenhouse conditions. The seeds were exposed to static MFs of 100 and 200 mT for 2 and 1 h, respectively. The treated seeds were sown in sand beds for seven days and transplanted in pots that were maintained at -0.03, -0.2 and -0.4 MPa soil water potentials under greenhouse conditions. MF exposure of seeds significantly enhanced all growth parameters, compared to the control seedlings. The significant increase in root parameters in seedlings from magnetically-exposed seeds resulted in maintenance of better leaf water status in terms of increase in leaf water potential, turgor potential and relative water content. Photosynthesis, stomatal conductance and chlorophyll content increased in plants from treated seeds, compared to control under irrigated and mild stress condition. Leaves from plants of magnetically-treated seeds showed decreased levels of hydrogen peroxide and antioxidant defense system enzymes (peroxidases, catalase and superoxide dismutase) under moisture stress conditions, when compared with untreated controls. Mild stress of -0.2 MPa induced a stimulating effect on functional root parameters, especially in 200 mT treated seedlings which can be exploited profitably for rain fed conditions. Our results suggested that MF treatment (100 mT for 2 h and 200 for 1 h) of maize seeds enhanced the seedling growth, leaf water status, photosynthesis rate and lowered the antioxidant defense system of seedlings under soil water stress. Thus, pre sowing static magnetic field treatment of seeds can be effectively used for improving growth under water stress.


Asunto(s)
Catalasa/metabolismo , Catalasa/efectos de la radiación , Clorofila/metabolismo , Clorofila/efectos de la radiación , Deshidratación , Peróxido de Hidrógeno/metabolismo , Peróxido de Hidrógeno/efectos de la radiación , Campos Magnéticos , Peroxidasas/metabolismo , Peroxidasas/efectos de la radiación , Fotosíntesis/efectos de la radiación , Hojas de la Planta/química , Hojas de la Planta/enzimología , Hojas de la Planta/efectos de la radiación , Lluvia , Plantones/crecimiento & desarrollo , Plantones/efectos de la radiación , Semillas/efectos de la radiación , Suelo , Superóxido Dismutasa/metabolismo , Superóxido Dismutasa/efectos de la radiación , Agua/metabolismo , Zea mays/crecimiento & desarrollo
2.
J Biosci ; 2011 Dec; 36 (5): 963-981
Artículo en Inglés | IMSEAR | ID: sea-161631

RESUMEN

Functional traits (FTs) integrate the ecological and evolutionary history of a species, and can potentially be used to predict its response as well as its influence on ecosystem functioning. Study of inter-specific variation in the FTs of plants aids in classifying species into plant functional types (PFTs) and provides insights into fundamental patterns and trade-offs in plant form and functioning and the effect of changing species composition on ecosystem functions. Specifically, this paper focuses on those FTs that make a species successful in the dry tropical environment. Following a brief overview, we discuss plant FTs that may be particularly relevant to tropical deciduous forests (TDFs). We consider the traits under the following categories: leaf traits, stem and root traits, reproductive traits, and traits particularly relevant to water availability. We compile quantitative information on functional traits of dry tropical forest species. We also discuss trait-based grouping of plants into PFTs. We recognize that there is incomplete knowledge about many FTs and their effects on TDFs and point out the need for further research on PFTs of TDF species, which can enable prediction of the dynamics of these forests in the face of disturbance and global climate change. Correlations between structural and ecophysiological traits and ecosystem functioning should also be established which could make it possible to generate predictions of changes in ecosystem services from changes in functional composition.

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