Breathing (Pulmonary Respiration) versus Cellular Respiration.
Oxygen Measurements in Seed Testing · Respiration is known to be associated with seed vigor and...
Transcript of Oxygen Measurements in Seed Testing · Respiration is known to be associated with seed vigor and...
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Oxygen Measurements in Seed TestingKent J. Bradford, Pedro Bello, Jing-Chen Fu and Margarita Barros
Department of Plant Sciences, Seed Biotechnology Center
University of California, Davis, USA
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Respiration Rates and Seed Quality
VIABLE NONVIABLE
Respiration is known to be associated with seed vigor and viability, as is shown through tetrazolium tests.
UCDAVIS
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Respiration As A Seed Quality Parameter
UCDAVIS
• Respiration is essential for germination.
• Respiration is related to seed quality.
• Individual seeds vary in their respiration rates and capacity.
• Single-seed assays are labor-intensive, but bulk samples give only an average value for the seed population.
• It is difficult to relate respiration directly to components of seed quality in bulk samples.
• A convenient method to assay respiration of many individual seeds would be useful.
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Astec Q2 for Measuring Seed Respiration
www.astecglobal.netUCDAVIS
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Single-seed Respiration Measurements
Individual seeds are sealed into the wells of a microtiter plate or in screwcap vials. The sealing membrane or screwcap has dye dots on the inner side whose fluorescence is proportional to the oxygen concentration in the well.
UCDAVIS
As the seeds imbibe and respire, the oxygen content of the air space of the well decreases. This increases the fluorescence of the dye in the dot inside the well when illuminated with light.
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Single-Seed Respiration Measurements
A light source/fluorescence sensor unit moves over the plates at user-specified intervals and records the oxygen content of each well.
UCDAVIS
The instrument records the oxygen level in each well over time as it is depleted due to seed respiration.
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Air Volume Can Be Varied and Germination Observed
Using agar, the air volume in the wells can be varied to match the size and respiration rates of the seeds.
Agar also allows radicle emergence to be observed through the bottom of the plate at desired intervals.
UCDAVIS
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Q2 Temperature Controller
We developed a custom temperature controller that can maintain constant and different temperatures in groups of four plates.
UCDAVIS
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ASTEC Analysis Software for Q2 Data
Raw data
UCDAVIS
Categorized and modeled data
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Respiration Patterns and ASTEC Values
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Oxy
gen
(% o
f ini
tial)
Time (h)
SMR = Starting Metabolism Rate
SMRSMR
UCDAVIS
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Respiration Patterns and ASTEC Values
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Oxy
gen
(% o
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Time (h)
SMR = Starting Metabolism RateIMT = Increased Metabolism Time
SMRSMR
IMT
UCDAVIS
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Respiration Patterns and ASTEC Values
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Oxy
gen
(% o
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tial)
Time (h)
SMR = Starting Metabolism RateIMT = Increased Metabolism TimeOMR = Oxygen Metabolism Rate
SMRSMR
IMT
OMR
OMR
UCDAVIS
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Respiration Patterns and ASTEC Values
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(% o
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tial)
Time (h)
SMR = Starting Metabolism RateIMT = Increased Metabolism TimeOMR = Oxygen Metabolism RateRGT = Relative Germination TimeSMRSMR
IMT
OMR
RGTRGT
UCDAVIS
OMR
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Respiration Patterns and ASTEC Values
0
20
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80
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0 10 20 30 40 50 60 70
Oxy
gen
(% o
f ini
tial)
Time (h)
SMR = Starting Metabolism RateIMT = Increased Metabolism TimeOMR = Oxygen Metabolism RateRGT = Relative Germination TimeCOP = Critical Oxygen Pressure
SMRSMR
IMT
OMR
RGTRGT
COPCOP
UCDAVIS
OMR
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Respiration Patterns and ASTEC Values
0
20
40
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80
100
0 10 20 30 40 50 60 70
Oxy
gen
(% o
f ini
tial)
Time (h)
SMR = Starting Metabolism RateIMT = Increased Metabolism TimeOMR = Oxygen Metabolism RateRGT = Relative Germination TimeCOP = Critical Oxygen PressureQT50 = Time to 50% Oxygen
SMRSMR
IMT
OMR
RGTRGTQT50 QT50
COPCOP
UCDAVIS
OMR
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Respiration Patterns and ASTEC Values
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20
40
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80
100
0 10 20 30 40 50 60 70
Oxy
gen
(% o
f ini
tial)
Time (h)
SMR = Starting Metabolism RateIMT = Increased Metabolism TimeOMR = Oxygen Metabolism RateRGT = Relative Germination TimeCOP = Critical Oxygen PressureQT50 = Time to 50% Oxygen AUC50 = Area Under Curve to QT50
SMRSMR
IMT
OMR
RGTRGTQT50 QT50
AUC50COP
COP
UCDAVIS
OMR
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Q2 Experience with Diverse Species
AlfalfaCabbageChinese cabbageCauliflowerCantaloupeCoreopsisCornflowerLettuce
MarigoldOnionPansyRadishSugar beetTomatoTurnipVinca Viola
17 Species Tested
UCDAVIS
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Vigor Correlation with ASTEC Values -- Brassica
IMT and OMR correlated significantly with a common vigour index (early count in a standard germination test) across 17 cabbage, 6 Chinese cabbage, 5 turnip and 5 cauliflower seed lots.
y = -0.3194x + 43.629R² = 0.2133**
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IMT
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First count (%)
A IMT
y = 0.0708x - 3.374R² = 0.1858*
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R (%
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h)
First count (%)
C OMR
TurnipChinese cabbage CauliflowerCabbage
UCDAVIS
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Vigor Correlation with ASTEC Values -- Brassica
RGT and HOM also correlated significantly with a common vigour index (early count in a standard germination test) across 17 cabbage, 6 Chinese cabbage, 5 turnip and 5 cauliflower seed lots.
SMR and COP did not have significant correlations with vigor index.
y = -1.1324x + 151.66R² = 0.2315**
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First count (%)
E RGT
y = -0.6892x + 76.92R² = 0.2967**
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M (h
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First count (%)
F HOM
TurnipChinese cabbage CauliflowerCabbage
UCDAVIS
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Priming Treatments -- Tomato
UCDAVIS
Screening priming treatments by comparing times to 50% germination (T50) with QT50 respiration values.
The times to germination of individual seeds and the T50 of the population were highly correlated with QT50 respiration rates.
The IMT was also highly correlated with QT50 and with T50.
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Temperature and Respiration -- Tomato
UCDAVIS
Temperature has predictable effects on germination rates.
Similar effects are observed on respiration rates measured by the Q2.
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Water Potential and Respiration -- Tomato
UCDAVIS
Reduced water potential also has consistent effects on germination rates.
0 MPa
-0.2 MPa
-0.4 MPaSimilar effects are observed on respiration rates measured by the Q2.
0 MPa
-0.2 MPa
-0.4 MPa
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Priming and Aging Treatments -- Lettuce
UCDAVIS
Priming advanced and aging (75% RH and 40ºC) delayed both germination and respiration relative to the control (untreated) seeds.
Note the wide variation in the shapes of the oxygen consumption curves, and the trend for more seeds to have linear patterns as they aged.
Color scale at bottom of each panel indicates the time of radicle emergence for the seeds whose respiration curves are the same color.
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Priming and Aging Treatments -- Lettuce
UCDAVIS
Some ASTEC values were highly correlated with T50 for germination in response to priming or aging, particularly SMR and RGT.
The QT50 and AUC50 values were highly correlated with T50 for germination, and are not dependent upon the shapes of the respiration curves.
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Alternative Data Analysis Method for Q2 Data
UCDAVIS
We developed an alternative analysis method based upon the time required for each seed to reduce the oxygen level to a specified percentage, e.g., 50% of the initial value. When plotted versus time, this results in a curve resembling a germination time course.
75%
25%
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Germination versus QT Time Courses
UCDAVIS
Priming and aging effects on germination time courses were similar to their effects on respiration time courses.
This representation takes advantage of the single-seed measurements and can reveal differences in behavior among subpopulations of the seed lot.
This analysis method also allows the application of threshold-based population models to the respiration data, such as for temperature, water potential or aging.*
*Alvarado and Bradford (2002) Plant Cell Environ. 25: 1061-1069. Bradford et al. (1993) J. Exp. Bot. 44: 1225-1234.
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Application of Q2 to CD Tests -- Radish
UCDAVIS
Controlled deterioration viability tests at lower storage MC take a long time to conduct if final viability is scored. CD at 33% RH
and 50 CGermination rates are more sensitive to aging.
Respiration rates are sensitive to aging, and show large differences before significant viability has been lost.
Respiration rates can be assessed after shorter aging periods to estimate potential longevity.
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Conclusions
UCDAVIS
• The Q2 instrument can measure respiration time courses of individual seeds.
• There is wide variation among respiration rates of individual seeds, but overall patterns are correlated with seed vigour and germination rates.
• Various components of oxygen depletion time courses can be quantified to assess respiratory patterns.
• Respiratory time courses of seed populations, analogous to germination time courses, can be generated.
• Q2 assays can semi-automate collection of time course data and enable greater use of germination rates in seed quality evaluation.
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WRSPRG
Financial Support
UCDAVIS
Astec Global: technical and in-kind support
American Seed Trade Association Vegetable & Flower Seed Permanent Research Fund
Western Regional Seed Physiology Research Group
Q2 Users’ Group and multiple companies who provided seeds.
Q2 Users’ Group
Pedro Bello