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Predicting tomato field-yield using continuous monitoring of young tomato water status

View ORCID ProfileSanbon Chaka Gosa, Amit Koch, Itamar Shenhar, View ORCID ProfileJoseph Hirschberg, Dani Zamir, Menachem Moshelion
doi: https://doi.org/10.1101/2021.03.18.435447
Sanbon Chaka Gosa
1The R.H. Smith Institute of Plant Sciences and Genetics in Agriculture, The R.H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, 76100 Israel
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  • ORCID record for Sanbon Chaka Gosa
Amit Koch
1The R.H. Smith Institute of Plant Sciences and Genetics in Agriculture, The R.H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, 76100 Israel
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Itamar Shenhar
1The R.H. Smith Institute of Plant Sciences and Genetics in Agriculture, The R.H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, 76100 Israel
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Joseph Hirschberg
2Department of Genetics, Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
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Dani Zamir
1The R.H. Smith Institute of Plant Sciences and Genetics in Agriculture, The R.H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, 76100 Israel
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Menachem Moshelion
1The R.H. Smith Institute of Plant Sciences and Genetics in Agriculture, The R.H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, 76100 Israel
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  • For correspondence: menachem.moshelion@mail.huji.ac.il
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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, as well as 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.

Competing Interest Statement

There are no competing interests

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  • ↵* Equal contribution

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted March 19, 2021.
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Predicting tomato field-yield using continuous monitoring of young tomato water status
Sanbon Chaka Gosa, Amit Koch, Itamar Shenhar, Joseph Hirschberg, Dani Zamir, Menachem Moshelion
bioRxiv 2021.03.18.435447; doi: https://doi.org/10.1101/2021.03.18.435447
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Predicting tomato field-yield using continuous monitoring of young tomato water status
Sanbon Chaka Gosa, Amit Koch, Itamar Shenhar, Joseph Hirschberg, Dani Zamir, Menachem Moshelion
bioRxiv 2021.03.18.435447; doi: https://doi.org/10.1101/2021.03.18.435447

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