The relationship between leaf area and vegetative characteristics in Barecat and French faba bean cultivars

Document Type : Original Articles

Authors

• Mohammadkazem Eslami
• Ebrahim Zeinali
• Afshin Soltani
• Mohammad Khadempir

Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

10.22067/ijpr.v9i2.58498

Abstract

Introduction
Since the leaves are the main source of production of photosynthetic substances in plants, dry matter production and crop yield potential is largely depend on the leaf surface, and many environmental changes affect growth and yield through changes in leaf area. Hence, green leaf area per plant and leaf area index measure in almost all studies of crop physiology to understand the mechanism of yield alteration. However, measurement of leaf area compared with other traits such as plant height and total plant dry weight is very difficult, precise instruments and spend more time and cost. Therefore, according to the allometric relationships in plants, extensive studies were done to find the relationship between leaf area and other plant traits that their measurement is easier, faster and cheaper, and does not require expensive equipment. Allometric relationships in plants reveal changes in the growth of an organ of plant than to all or another part or organ of plant. The leaf area in plant as main source of photosynthetic substances closely associated with the growth and yield. Thus, it is usually measured for justifying variations of the growth and yield. Due to the difficulty, time‌consuming and requires devices to measure leaf area, an alternative approach for measuring the leaf area is the use of allometric relationships between leaf area and traits that their measuring is easy and quick and requires no expensive equipment. This study aimed to obtain the allometric relationships between green leaf area and a number of vegetative attributes such as number of leaves per main stem, green leaf dry weight, total dry weight of vegetative parts of plant. Allometric equations was used successfully to calculate leaf area in various crops such as cotton, wheat, chickpea, faba bean, peanuts, soybean and sweet sorghum. The effects of three factors cultivar, inter‌ and intra‌row spacing on the allometric relationships were examined.
 
Materials & Methods
This experiment was conducted using two cultivars of faba bean (a conventional, Barecat and a new cultivar, French), three inter‌row spacing (25, 50 and 75 cm) and two intra‌row spacing (8 and 15 inches) in a randomized complete block design with 4 replications in the farm of Gorgan University of Agricultural Sciences and Natural Resources during 2010‌2011 growing season. Sampling to measure the green leaf area and leaf dry weight and other vegetative traits during the growing season was carried out with intervals of 7 to 15 days (depending on the temperature and rate of plant growth). Different mathematical functions were fitted to the data to obtain allometric relationships. To compare the accuracy of the equations, coefficient of determination (R²) and root mean square error (RMSE) were used. Higher coefficient of determination, and lower coefficient of variation and root mean square error reflects the higher accuracy of the equation to describe allometric relationships.
 
Results & Discussion
According to the results of this experiment, the relationship between leaf area and leaf dry weight and total plant dry weight in faba bean was not affected by cultivar, inter‌ and intra‌row spacing, statistically. Thus, an equation was fitted to leaf area data against leaf dry weight or total plant dry weight in all treatment (both cultivars and all inter‌ and intra‌row spacing). Also, results of this study showed that the relationship between green leaf area and leaf dry weight as well as number of nodes per main stem has higher coefficient of determination (0.98 for green leaf dry weight, and 0.98 and 0.95 for node number per main stem in 8 and 15 cm intra‌row spacing, respectively) and lower the root mean square (1.05 for green leaf dry weight, and 1.08 and 1.064 for node number per main stem in 8 and 15 cm intra‌row spacing, respectively) than other traits.
 
Conclusion
Since the relationship between green leaf area and green leaf dry weight per plant had a higher coefficient of determination (0.98) as well as smaller root mean square (1.05) than other traits including leaf number per main stem, as well as the ease of measuring the green leaf dry weight, it is suggested that the relationship between leaf area and leaf dry weight (a segmented relationship) is used to estimate green leaf area during the growing season in faba bean. Also, this relationship can be used to predict faba bean leaf area with sufficient accuracy in the simulation models.

Keywords

• Allometric relationships
• Faba bean
• Leaf area
• Leaf dry weight
• Plant height

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References

1. Akramghaderi, F., and Soltani, A. 2007. Leaf area relationships to plant vegetative characteristies in cotton (Gassypium hirsutum) grown in a temperate sub‌humid environment. International Journal of Plant Production 1: 63‌71.
2. Bafkar, A., Boromand, S., Behzad, M., and Farhadi, B., 2011. Predict production potential of grain corn in Mahidasht Kermanshah 704 C using a simulation model of crop growth WOFOST. Iranian Journal of Field Crop Science 42(4): 45‌55. (In Persian with English Abstract).
3. Bakhshande, A., Soltani, A., Zainali, A., Kalatearabi, M., and Ghadirian, R. 2011. Evaluation of allometric relationships leaf area and plant growth components in durum and bread wheat varieties. Iranian Journal of Crop Sciences 13(4): 55‌87. (In Persian with English Abstract).
4. Cavero, J., Farre, I., Debaeke, Ph., and Faci, J.M. 2000. Simulation of maize yield under water stress with the EPIC phase and CROPWAT models. Agronomy Journal 92: 679-‌690.
5. Chen, J.M., Pavlic, G., Brown, L., Cihlar, J., Ieblanc, S.G., White, H.P., Hall, R.J., Peddle, D.R., King, D.J., Trofymow, J.A., Swift, E., Van der Sanden, J., and Pellikka, P.K.E. 2002. Derivation and validation of Canada wide coarse ‌resolution leaf area index maps using high‌resolution satellite imagery and ground measurements. Remote Sensing of Environment 80: 165‌184.
6. Ewert, F. 2004. Modelling plant responses to elevated Co₂: How important is leaf area index. Annals of Botany 93: 619‌-627.
7. Ghadirian, R., Soltani, A., Zeinali, E., Kalateh Arabi, M., and Bakhshandeh, E. 2011. Evaluating non‌linear regression models for use in growth analysisof wheat. Iranian Journal of Plant Production 4(3): 55-‌77.
8. Gardner, F.P., Pearce, R.B., and Mitchell, R.L. 1985. Physiology of Crop Plants. Iowa State Univ. Press, Ames, USA.
9. Hammer, G.L., Carberry, P.S., and Muchow, R.C. 1993. Modeling genotype and environmental control of leaf area dynamics in grain sorghum. I. Whole plant level. Field Crops Research 33: 293-‌310.
10. Johnson, R.E. 1967. Comparison of methods for estimating cotton leaf area. Agronomy Journal 59: 493-‌494.
11. Jonckheere, I., Fleck, S., Nackaerts, K., Muys, B., Coppin, P., Weiss, M., and Baret, F. 2004. Review of methods for in situ leaf area index determination. I: Theories, sensors and hemispherical photography. Agricultural and Forest Meteorology 121: 19‌35.
12. Kumudini, S., Hume, D.J., and Chu, G. 2001. Genetic improvements in short season soybeans I. Dry matter accumulation, partitioning and leaf area duration. Crop Science 41: 391‌-398.
13. Lieth, J.H., Reynolds, J.F., and Rogers, H.H. 1986. Estimation of leaf area of soybeans grown under elevated carbon dioxide levels. Field Crops Research 13: 193‌-203.
14. Lockwood, J.G. 1999. Is potential evapotranspiration and its relationship with actual evapotranspiration sensitive to elevated atmospheric Co₂ levels? Climatic Change 41: 193‌-212.
15. Ma, L., Gardener, F.P., and Selamat, A. 1992. Estimation of leaf area from leaf and total mass measurements in peanut. Crop Science 32: 467‌-471.
16. Nehbandani, A., Soltani, A., Zeinali, E., Raeisi, S., and Najafi, R. 2013. Allometric relationships between leaf area and vegetative characteristics in soybean. International Journal of Agriculture and Crop Sciences 6(16): 1127‌-1136.
17. Niklas, K.J. 1995. Plant height and the properties of some herbaceous stem. Annals of Botany 75: 133‌-142.
18. Payne, W.A., Went, C.W., Hossner, L.R., and Gates, C.E. 1991. Estimating pearl millet leaf area and specific leaf area. Agronomy Journal 83: 937-‌941.
19. Pengelly, B.C., Muchow, R.C., and Blamey, F.P.C. 1999. Predicting leaf area development in response to temperature in three tropical annual forage legumes. Australian Journal of Agricultural Research. 50: 253‌-259.
20. Rahemi, A., Soltani, A., Poorreza, J., Zainali, A., and Sarparst, R. 2006. Allometric relationships between leaf and vegetative traits in pea plants. Journal of Agricultural Sciences and Natural Resources 13(5): 33‌44. (In Persian with English Abstract).
21. Retta, A., Armbrust, D.V., Hagen, L.J., and Skidmore, E.L. 2000. Leaf and stem area relationship to masses and their height distributions in native grasses. Agronomy Journal 92: 225‌-230.
22. Sharratt, B.S., and Baker, D.G. 1986. Alfalfa leaf area as a function of dry matter. Crop Science 26: 1040‌-1043.
23. Shih, S.F., Gascho, G.J., and Rahi, G.S. 1981. Modeling biomass production of sweet sorghum. Agronomy Journal 73: 1027‌-1032.
24. Sinclair, T.R. 1984. Leaf area development in field‌grown soybeans. Agronomy Journal 76: 141‌-146.
25. Soltani, A., and Galeshi, S. 2002. Importance of rapid canopy for wheat production in atemperate sub‌humid environment: experimentaion and simulation. Field Crops Research 77: 17‌30.
26. Soltani, A., Hammer, G.L., Trabi, B., Robertson, M.J., and Zeinali, E. 2006. Modeling chickpea growth and development: phenological development. Field Crops Research 99: 1‌13.
27. Torabi, B., Soltani, A., Galeshi, S., and Zaeinali, E. 2011. Analyzing the Wheat Yield Constraints in Gorgan with a Simulation Model and Analytical Hierarchy Process (AHP) Approach. Ph.D. Thesis Gorgan University of Agricultural Sciences & Natural Resources. 225 p. (In Persian with English Abstract).
28. Tsialtas, J.T., and Maslaris, N. 2008. Leaf allometry and prediction of specific leaf area (SLA) in a sugar beet (Beta vulgaris) cultivars. Photosynthetica 46: 351‌-355.
29. Waggoner, P.E., and Berger, R.D. 1987. Defoliation, disease, and growth: A reply. Phytopathology 77(11): 1495‌-1497.
30. Zainali, A., Soltani, A., Torani, M., and Khadempir, M. 2013. Study allometric relationships between leaf area and plant growth components in the Faba Bean. Journal of Plant Production. 4: 18‌44. (In Persian with English Abstract).
31. Zainali, A., Soltani, A., and Khadempir, M. 2016. Investigating the Alometric Relationships between leaf area and some of vegetative characteristics in SC704 corn hybrid. Iranian Journal of Field Crops Research. 14(2): 354‌-368. (In Persian with English Abstract).