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Flowering time control in Arabidopsis - The relationship between phyllochron and flowering time

Department of Agronomy, KSU. 2002 ASA Meeting. Flowering time control in Arabidopsis - The relationship between phyllochron and flowering time. Z. Dong, S. M. Welch Agronomy Dept., Kansas State Univ. Department of Agronomy, KSU. Arabidopsis thaliana. Introduction.

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Flowering time control in Arabidopsis - The relationship between phyllochron and flowering time

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  1. Department of Agronomy, KSU 2002 ASA Meeting Flowering time control in Arabidopsis -The relationship between phyllochron and flowering time Z. Dong, S. M. WelchAgronomy Dept., Kansas State Univ.

  2. Department of Agronomy, KSU Arabidopsis thaliana Introduction • A member of the Brassicaceae, the mustard family • Main characteristics: • Rapid generation time • Thousands of seeds • Morphologically simple • Small genome size – 25,000 genes • Widely used in molecular genetics, developmental biology

  3. Department of Agronomy, KSU Objectives Objective • Two concepts that are common in crop modeling have not been studied in Arabidopsis • Phyllochron interval • Flowering developmental rates

  4. Department of Agronomy, KSU Some Standard Measures Methodology • Growing degree days • Photothermal time (Masle et al., 1989) • Days after planting / emergence

  5. Autonomouspathway Photoperiod pathway CircadianClock Temperature Cold Light FPA CRY2 GI Vernalizationpathway FVE PHYB CO FCA FLC Gibberellinpathway FT SOC1 The FLC allele in the Ler background is nearly a loss of function mutation LFY Adopted from various literature Department of Agronomy, KSU Methodology

  6. Department of Agronomy, KSU Growth Chamber Experiments Methodology • Seven flowering time mutants and wild type, Ler, were used • 2 x 2 factorial CR design • Temperature: 16, 24oC • Photoperiod: 8, 16 hr. light/day • Daylength and temperature were recorded • Leaf number and flowering time were observed

  7. Department of Agronomy, KSU Estimation of Base Temperature -Least Variability Method Results

  8. Department of Agronomy, KSU Estimation of Base Temperature -RLA vs. Mean Temperature Results • Tb=-b/a, here a and b are the intercept & the slope of the straight line, respectively • Tb values estimated from RLA are unreasonable

  9. Department of Agronomy, KSU Estimation of Base Temperature -DRF vs. Mean Temperature Results • Calculate Tb by data from inductive DL & non-inductive DL • Results are better than those from the previous two methods

  10. Department of Agronomy, KSU Estimation of Phyllochron Results • RLA is the slope of the straight line • Phyllochron is the inverse of RLA Trt 1Ler Trt 1LerTb=0 Trt 1LerTb=0

  11. Department of Agronomy, KSU Define Developmental Unit Results ki = DU/day for treatment i Pj = Phyllochron for genotype j bj = Intercept for genotype j LNij(D) = Leaf number at day D for genotype j in treatment i

  12. Department of Agronomy, KSU Developmental Unit for Treatments Results

  13. Department of Agronomy, KSU Relationship among DU and T and DL Results • DU is closely dependent on temperature and photoperiod but not their interaction (R2=0.886)

  14. Department of Agronomy, KSU Results Ler

  15. Department of Agronomy, KSU - fca-6 - fpa-2 - fve-2 - co-6 - fha-1 - gi-6 - phyB-1 - Ler Results

  16. Department of Agronomy, KSU Conclusion Conclusion • Estimates of Tb are unreasonable in situations where fundamental genetic control networks are compromised • Linear relationships exist between leaf number and time (DU, DAP, GDD, or PTT) • A DU system can be defined with constant phyllochron intervals across environments for each genotype • In this system developmental units (DU) are linearly related to temperature and photoperiod • The relationship between rate of leaf appearance and flowering developmental rate is weak (-0.1789)

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