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Crop Physiology

Variations in physiological, biochemical, and structural traits of photosynthesis and resource use efficiency in maize and teosintes (NADP-ME-type C4)

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Pages 448-458 | Received 26 Jul 2017, Accepted 24 Oct 2017, Published online: 09 Nov 2017

Figures & data

Table 1. Maize and teosinte lines examined in this study.

Figure 1. Variations in (A) net photosynthetic rate (PN), (B) photosynthetic water use efficiency (PWUE), and (C) photosynthetic nitrogen use efficiency (PNUE) in leaves of maize and teosinte lines.

Notes: Means ± SD (n = 3–5). Dashed lines show mean values. Black, maize (Z. mays ssp. mays); gray, Z. mays ssp. mexicana; white, Z. diploperennis, Z. perennis, and Z. nicaraguensis.
Figure 1. Variations in (A) net photosynthetic rate (PN), (B) photosynthetic water use efficiency (PWUE), and (C) photosynthetic nitrogen use efficiency (PNUE) in leaves of maize and teosinte lines.

Figure 2. Relationships between PN and (A) stomatal conductance (gs), (B) transpiration rate (Tr), (C) chlorophyll (Chl) content, (D) leaf soluble protein (LSP) content, (E) leaf N content, and (F) specific leaf weight (SLW) in leaves of maize and teosinte lines.

Notes: Circles are the mean values of each line (n = 3–5): black, maize (Z. mays ssp. mays); gray, Z. mays ssp. mexicana; white, Z. diploperennis, Z. perennis, and Z. nicaraguensis. Significant at P: **< .01; *** < .001. NSnot significant.
Figure 2. Relationships between PN and (A) stomatal conductance (gs), (B) transpiration rate (Tr), (C) chlorophyll (Chl) content, (D) leaf soluble protein (LSP) content, (E) leaf N content, and (F) specific leaf weight (SLW) in leaves of maize and teosinte lines.

Table 2. Correlation coefficients (r) from linear regression analysis and statistical significance of the relationships between physiological and biochemical traits in maize and teosinte lines. PN, net photosynthetic rate; gs, stomatal conductance; Tr, transpiration rate; Ci/Ca, intercellular CO2 to ambient CO2 concentration; PWUE, photosynthetic water use efficiency; LSP, leaf soluble protein; Chl, chlorophyll; SLW, specific leaf weight; PNUE, photosynthetic nitrogen use efficiency; δ13C, carbon isotope ratio; PEPC, phosphoenolpyruvate carboxylase; ME, malic enzyme; PCK, phosphoenolpyruvate carboxykinase; DC, capacity for C4 acid decarboxylation (=NADP−ME activity + PCK activity); PCK ratio, [=PCK activity/(NADP−ME activity + PCK activity)].

Figure 3. Relationship between photosynthetic water use efficiency (PWUE) and δ13C in leaves of maize and teosinte lines.

Notes: Circles are the mean values of each line (n = 3–5). Circle shading is as in Figure . NSnot significant.
Figure 3. Relationship between photosynthetic water use efficiency (PWUE) and δ13C in leaves of maize and teosinte lines.

Figure 4. Relationships between PN and activities of (A) PEP carboxylase (PEPC), (B) NADP-malic enzyme (NADP-ME), (C) PEP carboxykinase (PCK), and (D) Rubisco in leaves of maize and teosinte lines.

Notes: Circles are the mean values of each line (n = 3–5). Circle shading is as in Figure . Significant at P: ** < .01; *** < .001. NSnot significant. Broken lines (y = x) show enzyme activities that would be required for equal PN.
Figure 4. Relationships between PN and activities of (A) PEP carboxylase (PEPC), (B) NADP-malic enzyme (NADP-ME), (C) PEP carboxykinase (PCK), and (D) Rubisco in leaves of maize and teosinte lines.

Table 3. Correlation coefficients (r) from linear regression analysis and statistical significance of the relationships between structural traits of maize and teosinte lines. IVD, interveinal distance; SD, stomatal density; GL, guard cell length.

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