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

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

doi:10.1016/j.plantsci.2021.111122

Cited by 11 publications

(15 citation statements)

References 42 publications

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“…Continuous data were filtered and summarized using the SPAC analytic software embedded in the Plantarray system (PlantDitech, Yavne, Israel). All analyses were performed using the JMP® 15.0 Pro statistical package (SAS Institute, Cary, NC, USA) Gosa et al ., 2022 unless otherwise specified. Box plots and continuous line graphs were generated using OriginPro, Version 2021 (OriginLab Corporation, Northampton, MA, USA).…”

Section: Discussionmentioning

confidence: 99%

“…The primary challenge of G×E phenotyping is detecting the small behavioral differences between different lines under similar environmental conditions, which, over time, have a cumulative effect on crop yield (Moshelion, 2020;Gosa et al, 2022). The sampling of longitudinal (or continuous) traits [i.e., traits that are measured repeatedly over time (Yang et al, 2006)] is necessary to determine the mechanisms by which the environment influences the plant's performance.…”

Section: Discussionmentioning

confidence: 99%

“…This approach could also be a way to detect genetic variability in novel mechanisms of tolerance. If combined with field testing (Chapuis et al, 2012), data should be collected during both the vegetative and the reproductive phase of the plants' growth, since plants tend to respond differently to stress during those different growth phases (Gosa et al, 2022) (Chen et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…Although all of these studies documented the existence of this stomatal morning-rise phenotype, it was an anticipative hypothesis that the phenotype would increase productivity and fitness under drought using the photosynthetically active radiation (PAR), which could lead to increased CO2 assimilation (Schoppach et al, 2020). In a recent study, we showed that this kind of early morning Gsc peak, described as the "golden hour" (Gosa et al, 2019), is strongly correlated with tomato yield in the field (Gosa et al, 2022).…”

Section: Dynamic Water-use Efficiency: the Morning Stomatal Peak Under Water-deficit Conditionsmentioning

confidence: 97%

“…In addition, continuous measurement of these traits in whole young tomato plants revealed that they are closely related to yield performance in the field (Gosa et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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Diurnal stomatal apertures profile and density ratios affect whole-canopy conductance, drought response, water-use efficiency and yield

Gosa

Gebeyo

Patil

et al. 2022

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Key physiological traits of plants, such as transpiration and stomatal conductance, are usually studied under steady-state conditions or modeled using only a few measured data points. Those measurements do not reflect the dynamic behavior of the plant in response to field conditions. To overcome this bottleneck, we used a gravimetric functional phenotyping platform and a reverse-phenotyping method to examine the dynamic whole-plant water regulation responses of tomato introgression lines and compared those responses with several years of yield performance in commercial fields. Ideotype lines had highly plastic stomatal conductance and high abaxial to adaxial stomatal density ratios and the size of their stomatal apertures peaked early in the day under water-deficit conditions. These traits resulted in dynamic daily water-use efficiency, which allowed for the rapid recovery of transpiration when irrigation was resumed after a period of imposed drought. We found that stomatal density, the abaxial to adaxial stomatal density ratio and the time of maximum stomatal apertures are crucial for plant adaptation and productivity under drought stress conditions. Abaxial stomatal density was also found to be strongly correlated with the expression of the stomatal-development genes SPCH and ZEP. This study demonstrates how a reverse functional phenotyping approach based on field yield data, continuous and simultaneous whole plant waterbalance measurements and anatomical examination of individual leaves can help us to understand and identify dynamic and complex yield-related physiological traits.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Dynamic Water-use Efficiency: the Morning Stomatal Peak Under Water-deficit Conditionsmentioning

confidence: 97%

“…In addition, continuous measurement of these traits in whole young tomato plants revealed that they are closely related to yield performance in the field (Gosa et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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