Physiology and Molecular Biology of Stress ... - KHAM PHA MOI
Physiology and Molecular Biology of Stress ... - KHAM PHA MOI
Physiology and Molecular Biology of Stress ... - KHAM PHA MOI
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Salt <strong>Stress</strong><br />
79<br />
sponse <strong>and</strong> yield (Subbarao <strong>and</strong> Johansen, 1994). In a recent study, on canola, field pea,<br />
dry bean <strong>and</strong> durum wheat, several agronomic parameters have been evaluated for their<br />
effects on salt tolerance, (Steppuhn et al., 2001). As screening for salt tolerance based<br />
on visible symptoms (leaf necrosis, abscission <strong>and</strong> chlorosis) is appropriate only for<br />
sensitive crops, <strong>and</strong> the classical method based on yield change is expensive, several<br />
indirect parameters <strong>and</strong> related methods, such as chlorophyll fluorescence <strong>and</strong> leaf<br />
bioelectric activity have been proposed (Shabala et al., 1998). Screening methods for<br />
salt tolerance are grouped into the following categories (Munns <strong>and</strong> James, 2003): a)<br />
methods based on growth (e.g. root <strong>and</strong> leaf elongation, biomass) <strong>and</strong> yield under<br />
controlled conditions, including both short-term <strong>and</strong> long-term experiments; b) methods<br />
<strong>of</strong> tolerance to high salinity levels, such as germination <strong>and</strong> plant survival, leaf<br />
injury, premature loss <strong>of</strong> chlorophyll <strong>and</strong> measurements <strong>of</strong> chlorophyll fluorescence;<br />
<strong>and</strong>, c) methods based on physiological mechanisms <strong>and</strong> specific traits, such as Na +<br />
exclusion, K + /Na + discrimination <strong>and</strong> Cl - exclusion, as well as Na + /Ca 2+ selectivity (Zeng<br />
et al., 2003).<br />
Based upon the differences in physiological traits, several methodologies<br />
have been developed, especially for the purposes <strong>of</strong> analyzing the ion concentration<br />
<strong>and</strong> localization within particular tissues <strong>and</strong> cell compartments. In this category, the<br />
benefits <strong>of</strong> microelectrode measurements for studying <strong>of</strong> single cell metabolism have<br />
been advocated (Miller et al., 2001). Ion activities in living plant cells are recorded by<br />
patch-clamp techniques (White et al., 1999), fluorescent dyes (Mühling <strong>and</strong> Läuchli,<br />
2002b, Halperin <strong>and</strong> Lynch, 2003) <strong>and</strong> NMR technologies (Olt et al., 2000, Gruwel et al.,<br />
2001), whereas X-ray microanalysis <strong>of</strong>fers an opportunity for quantifying the amount <strong>of</strong><br />
an element (Flowers <strong>and</strong> Hajibagheri, 2001). The studies <strong>of</strong> nutrient status <strong>and</strong> transport<br />
on the microscale rely on other methodologies as well, such as: the kinematic<br />
growth analysis <strong>and</strong> elemental deposition rates, microdissection, specimen preparations,<br />
secondary ion mass spectrometry, <strong>and</strong> other microanalytical techniques, like<br />
microautoradiography (Laz<strong>of</strong> <strong>and</strong> Bernstain, 1999). Since the extrapolation <strong>of</strong> results<br />
obtained under highly controlled conditions to real field situation has had limited success,<br />
it was necessary to develop the new <strong>and</strong> simpler field screening methods <strong>and</strong><br />
models to enable more efficient breeding for salinity tolerance (Isla et al., 1997).<br />
12. MODELING FOR YIELD ESTIMATION<br />
There is no unique parameter relating crop yield to the average soil salinity, since crop<br />
growth changes with soil water deficit <strong>and</strong> other soil features. There are mathematical<br />
models for estimation <strong>of</strong> crop yield under saline conditions dealing with the physics <strong>of</strong><br />
water movement through soil, plant <strong>and</strong> atmosphere (Grant et, al., 1993). The model<br />
named ecosys was exp<strong>and</strong>ed to include an ion transfer-equilibrium-exchange model<br />
used to calculated electrical conductivity <strong>and</strong> soil osmotic potential, <strong>and</strong> it was proposed<br />
for general use in assessing salinity effects on crop growth <strong>and</strong> water use on<br />
different soils <strong>and</strong> environmental conditions (Grant, 1995). Some other models propose