Carbon Isotope Discrimination as a Selection Criterion for Improved Water-Use Efficiency in Agricultural Crops By Dr. Ali Abdullah Alderfasi Professor.

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1 Carbon Isotope Discrimination as a Selection Criterion for Improved Water-Use Efficiency in Agricultural Crops By Dr. Ali Abdullah Alderfasi Professor of Crop Physiology Plant Production Department King Saud University إستخدام النظائر الكربونية كمعيار إنتخابي لتحسين كفاءة الإستهلاك المائي في المحاصيل الزراعية

2 Introduction Nutrient and water management practices are the main factors affecting in increasing crop production in arid /semi-arid areas. Carbon isotope discrimination (CID ) has been proposed as physiological criterion for predicting water use efficiency (WUE) in crops and trees. Selection for improved WUE through analysis of carbon isotopes will be most useful in selection for maintenance of growth under drought environments such as Saudi Arabia

3 The isotopic ratio of 13 C to 12 C in plants tissue is less than the isotopic ratio of 13 C to 12 C in the atmosphere, indicating that plants discriminate against 13 C during photosynthesis. Such discrimination against 13 C (i.e., difference between 13 C and 12 C, expressed as delta δ 13 C) in plant tissues (leaves and grains) has been successfully used in the selection of drought resistant in barley, wheat, rice and peanut and many other crops and trees under water-limited environments. In contrast, for well-water environments, many positive genotypic correlations have been reported between delta and grain yield indicating potential value in selecting for greater delta in these environments.

4 (http://www.fertilizer.org/ifa/Form/pub_position_papers_8.asp)http://www.fertilizer.org/ifa/Form/pub_position_papers_8.asp Water needed for food production(Liters of water per kilogram of food)

5 Terrestrial abundance of the stable isotopes of some important elements used in ecological studies. Element Isotope*Avg. abundance (%) Hydrogen 1H1H 99.985 Hydrogen 2H2H 0.015 Carbon 12 C 98.89 Carbon 13 C 1.11 Carbon (Radioactive isotope) 14 C Part per Trillion Oxygen 16 O 99.759 Oxygen 17 O 0.037 Oxygen 18 O 0.205 * Isotopes are atoms with same # protons but different # neutrons.

6 * The isotopic ratio of 13 C to 12 C in plant tissue is less than the isotopic ratio of 13 C to 12 C in the atmosphere, indicating that plants discriminate against 13 C during photosynthesis Theory

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8 WUE in plants can be measured by the following methods:- 1) Physiological Method: WUE = A/T or A/g s 2)Agronomic Method: WUE = Plant Productivity/ET 3)Use of Carbon Isotopic Discrimination (CID) as Indirect Method: D = 4.4 + 22.6(C i / C a ) Selection for improved WUE through analysis of carbon isotopes will be most useful in selection for maintenance of growth under drought environments

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14 transpiration rate water stress humidity photon flux canopy leaf area CO 2 leaf conductance cicacica  productivity Growth, reproductive output photosynthetic rate Nitrogen Woody Plants: C 3 Environmental causes of  13 C variation

15 Variation in discrimination against 13 C during photosynthesis is due to both stomata limitations and enzymatic processes. * Theoretical and empirical studies have demonstrated that carbon isotope discrimination is highly correlated with plant water use efficiency

16 * Analysis of carbon isotope discrimination has conceptual and practical advantages over measuring water use efficiency by instantaneous measurements of gas exchange or whole-plant harvests. * Moreover, in woody plants, carbon isotope discrimination can be determined on annual ring samples, providing a historical analysis of plant response to environmental conditions

17 Carbon isotope measurements * samples are easily collected, and processed, and large numbers of samples may be collected in diverse environments.

18 Natural Abundance Terminology Isotopic Ratio 13 C/ 12 C (R) Delta notation Units (‰) Parts per thousand or “per mil”

19  13 C = (R sample /R std – 1) x 1000 R = molar ratio of heavy / light isotope (e.g., 13 C/ 12 C) This gives “delta” notation in “per mil” (‰)

20 Isotopic composition V-PDB standard0 ‰ by definition CO 2 in air-8 ‰ (-7 to -15 ‰ ) C 3 plant biomass-24 to -30 ‰ Respired CO 2 -24 to -30 ‰ per mil

21 Carbon Isotope Discrimination a measure of Intrinsic Water-Use Efficiency Where a = discrimination against 13 C due to diffusion through stomata (4.4‰), b = discrimination against 13 C due to carboxylation (27‰), c i internal [CO 2 ], c a = ambient [CO 2 ] ∆ = 4.4 + 22.6(C i /C a )

22 * The rate of diffusion of 13 CO 2 across the stomatal pore is lower than that of 12 CO 2 by a factor of 4.4 ‰. * Additionally, there is an isotope effect caused by the preference of ribulose bisphosphate carboxylase (Rubisco) for 12 CO 2 over 13 CO 2 (by a factor of ~27 ‰ ). In both cases, the processes discriminate against the heavier isotope, 13 C (Farquhar et al. 1989).

23 * Based on the work of Farquhar the linkage between discrimination against 13 C during photosynthesis and water use efficiency may be demonstrated by the following relationships. The stable isotope ratio (d 13 C) is expressed as the 13 C/ 12 C ratio relative to a standard (PeeDee Belemnite) (Craig 1957). The resulting d 13 C value may be used to estimate isotope discrimination (D) as: D= (d a – d p )/(1+ d p )

24 Where d p is the isotopic composition of the plant material and d a is that of the air (assumed to be 8 ‰ ). As CO 2 assimilation (A) increases or stomatal conductance (g s ) decreases, intercellar CO 2 decreases resulting in decreased discrimination against 13 C. The relationship between c i and D is represented by the model of Farquhar et al (1982): D = 4.4 + 22.6(c i /c a ) Where c i is the intercellular CO 2 and c a is atmospheric CO 2 ( ≈ 355 ppm).

25 Empirical relationships between D and WUE Water use efficiency may be estimated from measurements of dry weight accumulation over time relative to amount of water transpired (transpiration efficiency, TE) or by measurements of gas exchange (instantaneous water use efficiency, WUEi).

26 The amount of isotopic discrimination that occurs during assimilation may be compared by D or d 13 C. Carbon isotope discrimination (D) may be intuitively easier to grasp but cannot be calculated if atmospheric d 13 C is not known or cannot be assumed to be equal to ambient (e.g., growth chamber experiments).

27 Instantaneous WUE may be calculated as the ratio of assimilation to stomatal conductance or transpiration (A/g s or A/E). Because E is a function of both g s and vapor pressure deficit, A/g is sometimes referred to as intrinsic water use efficiency. Based on the relationships described above, D is linked to WUE i through the effects of A and g s on c i. As WUEi increases due to stomatal closure (decrease g s ) or an increase in A, intercellular CO 2 declines and discrimination decreases. Therefore, WUEi is inversely related to D and positively related to dC 13.

28 A strong correlation between D or d13C and c i /c a or WUE i has been reported for numerous crop and tree species. Johnson et al. (1993) reported that correlations between D and A/g ranged between – 0.77 and – 0.91 for crested wheat grass in a series of greenhouse and field studies. In the same trials the correlation between D and transpiration efficiency ranged between – 0.73 and – 0.94.

29 In a study of western larch (Larix occidentalis Nutt.) seedlings, Zhang and Marshall (1994) found that D was significantly (P<0.0001) correlated with transpiration efficiency (r= -0.85) and instantaneous water use efficiency (r = -0.70).

30 The correlation between water use efficiency and D has been extensively studied in several crops including: 1)common bean (Phaseolus vulgaris L.) (Ehleringer 1990, Ehleringer et al. 1991). 2) wheat (Triticum aestivum L.) (Farquhar and Richards 1984 and Condon et al. 1990). Genetic variation in D

31 3) peanut (Arachis hypogea L.) (Hubick et al. 1986 and Wright et al. 1994). 4) barley (Hordeum vulgare L.) (Acevedo 1993), 5) cowpea (Vigna unguiculata [L.] Walp.) (Ismail et al. 1994).

32 Figure 1. Relationship between 13 C discrimination of seeds and WUE barley under water stress.

33 Figure 2. Relationship between 13 C discrimination of leaves and WUE barley under water stress.

34 Figure 3. Relationship between 13 C discrimination of seeds and aerial dry matter of barley under water stress.

35 Figure 4. Relationship between 13 C discrimination of seeds and grain yield of 6-row barley under water stress.

36 Advantages of D as a selection criteria for improved WUE 1)Carbon isotope discrimination has several conceptual and logistical advantages to screening for drought tolerance based on TE or WUEi. 2) Carbon isotope discrimination integrates c i /c a over the time the sampled tissue was formed.

37 3) Measurements of D are much less time and labor intensive than calculation of whole plant water use and dry weight data needed to calculate TE. In contrast, WUE measured by gas exchange provides ‘snapshots’ of A/g or A/E and may not be representative of overall WUE.

38 4) One particular advantage of using isotope analysis in trees is that isotope discrimination can be determined on annual rings from increment cores (Livingston and Spittlehouse 1993, MacFarlane et al. 1999). Thus, D or d 13 C can be determined across the range of climatic conditions that may have occurred over the life of the tree (e.g., drought versus wet years

39 5) Age:age correlations are generally high for isotope discrimination indicating a high degree of reproducibility in values and low genotype x environment (G x E) interactions associated with variation in precipitation (Hall et al. 1994).

40 6) D may be also correlated with productivity. Height growth of ponderosa pine seed sources was significantly (P<0.05, r=0-81) correlated with D, indicating that sources with increased water use efficiency grew faster.

41 These studies suggest that genetic variation in D may be sufficient to be useful as a selection criterion for improved water use efficiency in Agricultural crops.

42 While the use of isotope discrimination clearly has advantages over other assessments of water use efficiency, there are several factors that need to be considered in evaluating its use in a selection program. 1) Location 2) Plant Height 3) Plant Canopy 4) Branch length 5) Plant phonology 6) Hydraulic Conductivity 7) Cost Potential pitfalls and limitations

43 Johnsen et al. (1999) found an extremely tight relationship (r=- 0.97) between breeding values for tree height and D in black spruce. The negative relationship between discrimination values and growth suggests that genetic variation D is attributable to variation in photosynthetic capacity. Plant Height

44 Plant Canopy Re-fixing of respired carbon can affect the carbon isotope signal of under story foliage. In forest stands, CO 2 concentrations increase near the ground due to efflux of soil respired CO 2. The isotopic composition of respired air differs form the bulk atmosphere

45 Hydraulic conductivity and branch length Several recent investigations (Panek and Waring, 1995, Panek 1996, Walcroft et al. 1996, Warren and Adams 2000) have demonstrated the importance of branch length and hydraulic conductivity in determining the carbon isotope signature in the foliage of trees. Isotope discrimination is related to hydraulic conductivity because stomata close in response to increasing tension in the xylem (Irvine et al. 1999).

46 Importance of phonology plant phonology or the timing of growth can play a role in interpreting carbon isotope data. Cregg et al. (2000) compared D values among four diverse seed sources of ponderosa pine grown at two locations in the Great Plains; Plattsmouth, NE and Norman, OK. Analysis of growth patterns among the seed sources indicated significant differences in phonology.

47 Cost The cost of carbon isotope sampling varies depending up the laboratory, the level of processing, and type of sample. Some laboratories vary their fees depending on the type of organization, giving a discount to universities and other non-profit agencies. In general, costs range from $15 to $60 with an average cost for non-profits around $20 for standard oven-dried and ground tissue.

48 From the foregoing discussion we may conclude the following: The carbon isotope composition of plant tissue is 1) physiologically linked and correlated with WUE and TE 2) Varies significantly among genotypes in many crops and trees 3) stable across years and moisture regimes 4) Can be used to rapidly sample a large number of genotypes in multiple locations 5) Can be used to sample physiological response to past environments in trees using increment cores or past year ’ s foliage Conclusion