Stomatal Development Inhibition Facilitates Reduction in Total Epidermal Stomatal Area in Maize, But Not Soybean, Under Water-Deficit Conditions

Summary⍰ Modulation of stomatal development may be an acclimation response to low water availability. However, stomatal development plasticity has been assessed in very few species.⍰ We quantified leaf anatomy traits, including stomatal index (SI), density (SD), size (SS), and pore index (SPI), in response to water-deficit stress in river birch (Betula nigra L.), eastern redbud (Cercis canadensis L.), and silver maple (Acer saccharinum L.).⍰ Birch and redbud, but not maple, had reduced SPI in response to water deficit. The mechanism by which SPI reduction occurred (via SD or SS) varied among species and with severity of water stress. Despite reduced SPI in birch and redbud, anatomical changes were relatively small and had a minor to no effect on the theoretical maximum stomatal conductance. Furthermore, gas-exchange rates were equivalent to well-watered plants following media re-irrigation.⍰ In some tree species, stomatal development is downregulated in response to water deficit conditions. Stomatal development plasticity is facilitated by smaller or fewer stomata, depending upon the species and the intensity of the stress. Water-deficit-induced plasticity in stomatal development is species-specific, likely due to species adaptation to ecological niches.

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A Ca2+/CaM-regulated transcriptional switch modulates stomatal development in response to water deficit

Scientific Reports ◽

10.1038/s41598-019-47529-2 ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 3

Author(s):

Chan Yul Yoo ◽

Noel Mano ◽

Aliza Finkler ◽

Hua Weng ◽

Irene S. Day ◽

...

Keyword(s):

Water Deficit ◽

Stomatal Development ◽

Transcriptional Switch ◽

Response To Water

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Sunflower seedlings subjected to increasing stress by water deficit: Changes in O2.- production related to the composition of thylakoid membranes

Physiologia Plantarum ◽

10.1034/j.1399-3054.1996.960314.x ◽

1996 ◽

Vol 96 (3) ◽

pp. 446-452 ◽

Cited By ~ 2

Author(s):

Cristina L. M. Sgherri ◽

Calogero Pinzino ◽

Flavia Navari-Izzo

Keyword(s):

Water Deficit ◽

Thylakoid Membranes ◽

O2 Production

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Genetic basis of isoflavone accumulation during soybean seed development : special focus on water-deficit conditions

10.32469/10355/6852 ◽

2009 ◽

Author(s):

Juan Jose Gutierrez-Gonzalez

Keyword(s):

Water Deficit ◽

Seed Development ◽

Genetic Basis ◽

Soybean Seed ◽

Special Focus

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The study of important agronomic traits by multivariate analysis in winter rapeseed cultivars

JOURNAL OF ADVANCES IN AGRICULTURE ◽

10.24297/jaa.v1i1.4240 ◽

2014 ◽

Vol 1 (1) ◽

pp. 20-24

Author(s):

Gader Ghaffari ◽

Farhad Baghbani ◽

Behnam Tahmasebpour

Keyword(s):

Water Potential ◽

Water Deficit ◽

Leaf Water Potential ◽

Seed Weight ◽

Dry Weight ◽

Total Variance ◽

Water Deficit Stress ◽

The Third ◽

High Eigenvalue ◽

Winter Rapeseed

In order to group winter rapeseed cultivars according to evaluated traits, an experiment was conducted in the Research Greenhouse of Agriculture Faculty, University of Tabriz - IRAN. In the experiment were included 12 cultivars of winter rapeseed and 3 levels of water deficit stress. Gypsum blocks were used to monitor soil moisture. Water deficit stress was imposed from stem elongation to physiological maturity. According to the principal component analysis, five principal components were chosen with greater eigenvalue (more than 0.7) that are including 81.34% of the primeval variance of variables. The first component that explained the 48.02% of total variance had the high eigenvalue. The second component could justify about 13.64% of total variance and had positive association with leaf water potential and proline content and had negative relationship with leaf stomatal conductivity. The third, fourth and fifth components expressed around, 10.18, 4.83 and 4.68% of the total variance respectively. The third component had the high eigenvalue for plant dry weight. The fourth component put 1000-seed weight, seed yield, Silique per Plant and root dry weight against plant dry weight, chlorophyll fluorescence and leaf water potential. The fifth component had the high eigenvalue for root dry weight, root volume and 1000-seed weight.

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