The potential of dynamic physiological traits in young tomato plants to predict field-yield performance

Sanbon Chaka Gosa, Amit Koch, Itamar Shenhar, Joseph Hirschberg, Dani Zamir, Menachem Moshelion*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

To address the challenge of predicting tomato yields in the field, we used whole-plant functional phenotyping to evaluate water relations under well-irrigated and drought conditions. The genotypes tested are known to exhibit variability in their yields in wet and dry fields. The examined lines included two lines with recessive mutations that affect carotenoid biosynthesis, zeta z2083 and tangerine t3406, both isogenic to the processing tomato variety M82. The two mutant lines were reciprocally grafted onto M82, and multiple physiological characteristics were measured continuously, before, during and after drought treatment in the greenhouse. A comparative analysis of greenhouse and field yields showed that the whole-canopy stomatal conductance (gsc) in the morning and cumulative transpiration (CT) were strongly correlated with field measurements of total yield (TY: r2 = 0.9 and 0.77, respectively) and plant vegetative weight (PW: r2 = 0.6 and 0.94, respectively). Furthermore, the minimum CT during drought and the rate of recovery when irrigation was resumed were both found to predict resilience.

Original languageAmerican English
Article number111122
JournalPlant Science
Volume315
DOIs
StatePublished - Feb 2022

Bibliographical note

Funding Information:
The work was funded by the Israel Ministry of Agriculture and Rural Development (Eugene Kandel Knowledge centers) as part of the “Root of the Matter” – The root zone knowledge center for leveraging modern agriculture to MM. This research was also supported by the ISF-NSFC joint research program (grant No. 2436/18 ) and the United States–Israel Binational Science Foundation (BSF Grant # 2015100 ) to MM. D.Z. was funded by a TOMRES grant ( H2020 #727929 ). J.H.was funded by Israel Science Foundation, ISF (grant No. 1930/18 ).

Publisher Copyright:
© 2021 Elsevier B.V.

Copyright © 2021 Elsevier B.V. All rights reserved.

Keywords

  • Drought tolerance
  • Functional phenotyping
  • Physiological trait
  • Time-series measurements
  • Tomato
  • Yield prediction
  • Genes, Plant
  • Genotype
  • Forecasting
  • Plant Physiological Phenomena/genetics
  • Genetic Variation
  • Adaptation, Physiological/genetics
  • Phenotype
  • Droughts
  • Lycopersicon esculentum/genetics
  • Gene Expression Regulation, Plant
  • Crops, Agricultural/genetics
  • Dehydration/physiopathology
  • Mutation

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