Investigation the Physiological Traits Associated with Canola (Brassica napus L.) Genotypes Yield Improvement

Document Type : Research Article

Authors

• A Foroughi ¹
• A Biabani ¹
• A Rahemi karizaki ¹
• Gh. A Rassam ²

¹ Gonbad Kavous University

² Higher Education Complex of Shirvan

10.22067/gsc.v17i1.63733

Abstract

Introduction: Canola (Brassica napus L.) is one of the most important oil crops in the world. It has placed in third rank after soybean and palm and has the fastest of growth rate among oil seed in recent decades too. Canola yield was 1592 and 1567 kg.ha-1 in Iran and the world in 2003, respectively, however it has increased to 2125 and 2043 kg.ha-1 in Iran and the world in 2014, respectively. Crop physiologist should investigate the important physiological parameters which in the past have increased yield and can help to increase the quality and quantity of crop yield in the future. Therefore, the current study was carried out to evaluate the physiological traits associated with canola (Brassica napus L.) genotypes yield improvement.
Materials and Methods: Experiment was conducted as randomized complete block design with four replications at Higher Education Complex of Shirvan during growing seasons 2014-2015 and 2015-2016. Treatments were included 20 cultivars and lines of rapeseed. The record of phonological stages was done based on Sylvester-Bradley (1984)’s method. Before the plants showed elongation. Aboveground biomass and leaf area index (LAI) were measured from destructive sampling and it has been continuing at intervals of 6 to 10 d until physiological maturity. The ratio intercepted photosynthetic active radiation (PAR) was obtained by measuring of radiation at the top and bottom of the canopy with a Ceptometer (ACCUPAR model LP-80). Light was measured just before each destructive sampling between the hours of 12 to 14 on clear days. To calculate the daily cumulative solar active radiation we used RLY- calc program (Soltani, 2011). In order to investigation of growth indices, we have divided the varieties to three group based on cluster analysis and is select a variety as group representative. The groups are included high yield (Bilbao), medium yield (Karaje 3) and low yield (Sarigol).
Results and Discussion: Results indicated that there were significant differences among studied varieties in terms of phenological traits. So that Sarigol, Talayee, Shirali, Zafar and Zarfam were achieved earlier than others to physiological maturity. Positive and significant correlation of flowering duration with yield and the number of pod plant-1 has showed its importance in determination of yield. Positive and significant correlation among flowering duration with yield (r=0.66**) and the number of pod per plant (r=0.88**) showed its importance in determination of yield. Also, the most important of stage at making yield was affected by environmental conditions such as temperature, radiation and rainfall. LAI for Bilbao was higher than Sarigol and Karaje 3. Also, Sarigol was achieved maximum LAI earlier than two other varieties. There was strong correlation between yield and maximum dry matter accumulation (r=0.81**). The synchronization of maximum LAI with more solar radiation was much more important to achieve maximum yield. In the first year of experiment, crop growth rate (CGR) and relative growth rate (RGR) were higher than second. There was more solar radiation in first year that it was increased growth indices. The average extinction coefficient of light (KPAR) is estimated 0.70 and 0.72 in the first and second year of experiment respectively. In the first year of experiment, KPAR was varied between 0.65 (Shirali) to 0.76 (Modena and GKH-2005). In the second year, the highest and lowest extinction coefficient was belonged to the varieties Zafar (0.80) and Karaje 3 (0.63) respectively. The average of radiation use efficiency (RUE) is estimated between 3.8 and 3.6g MJ .m-2 in the first and second year respectively. Reducing light use efficiency in the second year can be probably because of obvious difference of weather between two years especially decreased of radiation. In other words, more scattered radiation in the second year than first year can be a major reason for this difference. In general, grain yield in the first was more than the second year of the experiment. The average yield of cultivars in the first and second year was 453.8 g.m-2 and 401.8 g.m-2 respectively. The highest yield in the first year belonged for Bilbao, Kodiak, SW102, GKH-305 and Traviata with the mean 495.5 g.m-2 and the lowest yield related to Zarfam, Sarigol, Talaei, Shiraly and Modena with the average amount of 370.5 g.m-2. The highest yield in the second year belonged to Bilbao, GKH-305, Slm046, L72, SW102, Kodiak and Traviata with the average amount of 450.3 g.m-2 and the lowest yield belonged to cultivars Talayeh, Opera, Karaj 3, Okapi, Modena, GKH-2005 and Karaj 1 with an average yield of 349.7 g.m-2. In general, cultivars with a higher LAI, as well as whose their maximum LAI coincided with higher radiation input had higher yield.
Conclusions: It can be concluded the importance of the synchronization maximum leaf area index with more solar radiation. For canola if the maximum LAI is less than four can say that growth and yield will be limited due to lack of leaf area because LAI about four is sufficient to obtain about 90 % of solar radiation. Therefore in spite of second year, in the first year LAI was not limiting factor to achieve maximum biomass. Since maximum LAI of canola occurs in flowering stage, so higher leaf area index at this time was caused the cultivars use more solar radiation. In addition to maximum LAI, the coincidence maximum LAI with higher radiation input was important factor to achieve a higher yield as a result more dry matter accumulation.

Keywords

• Harvest index
• Leaf Area Index
• Phonological characteristics
• Seed yield
• Solar radiation

20.1001.1.20081472.1398.17.1.4.2

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References

1. Ahmadi, M. Investigation of physiological aspects of growth indices and yield for canola. 2013. Zeitune Magazin. Islamic Republic of Iran. Ministry of Agriculture-Jahad 215: 57-61. (in Persian).

2. Allen, E. J. and Morgan, D. G. 2009. A quantitative analysis of the effects of nitrogen on the growth, development and yield of oilseed rape. Journal of Agricultural Science 78: 315- 324.

3. Attarbashi, M. R., Galeshi, S., Soltani, A., and Zinali, E. 2002. Relationship of phenology and physiology with grain yield in wheat under rainfed condition. Iranian Journal of Agriculture Science 2: 21-27. (in Persian).

4. Azizi, M., and Arvin, P. 2007. Difference and radiation use efficiency in spring cultivars of the oilseed. Electronic Journal of Crop Production 4: 35-50. (in Persian).

5. Azizi, M., Soltani, A., and Khavari khorasani, S. 2000. Brassica oilseeds (production). Iranian Academic Center for Culture and Research (ACECR). Mashhad.230p. (in Persian).

6. Baradaran, R., Majidi, E., Darvish, F., and Azizi, M. 2006. Study of correlation relationships and path coefficient analysis between yield and yield components in rapeseed (Brassica napus L.). Iran Journal of Agricultural Sciences Islamic Azad University. 4: 811-819. (in Persian).

7. Berry, M. P., and Spink, J. H. 2006. A physiological analysis of oilseed rape yield, past and future (review). Journal of Agricultural Science. Cambridge. 199: 381-392.

8. Campbel, C. A., Davidson, H. R., and Mcgain, T. N. 2003. Deposition of nitrogen and soluble sugars in Manitou spring wheat as influenced by N fertilizer, temperature and duration of moisture stress. Canadian Journal of Plant Science 63: 73-90.

9. Carter, C. T., Brown, L. S., and Ungar, I. A. 2003. Effect of temperature regimes on germination of dimorphic seeds of Atriplex prostrate. Biologia Plantarum 47: 269-272.

10. Clarke, J. M., and Simpson, G. M. 2008. Growth analysis of Brassica napus CV. Tower. Canadian Journal of Plant Science 58: 587-595.

11. Etesami, M. 2007. Evaluation of the effect of some physiological traits on yield barley (Hurdeum Vulgare L.) genotypes yield. MSc Thesis. Agriculture and Resources Science University of Gorgan.78p. (in Persian).

12. Faraji, A. 2005. Study on yield, Agronomic characters and traits correlation of eighteen spring canola cultivars in Gonbad Area. Seed and Plant 3: 385-398.

13. Felent, F., Kiniry, J. R., Board, J. E., Westgate, M. E., and Reicosky, D. C. 1996. Row spacing effects on light extinction coefficient of corn, sorghum, soybean and sunflower. Agronomy Journal 88: 185-190.

14. Gabrielle, B., Denoroy, P., Goose, G., Justes, E., and Andersen, M. N. 1998. A model of leaf area development and senescence for winter oilseed rape. Field Crops Research 57: 209-222.

15. Gardner, F. P., Pearce R. B., and Mitchell R. L. 2005. Physiology of Crop Plants. Iowa State University Press. USA. 421 pp.

16. Habekotte, B. 2007. Evaluation of seed yield determining factors of winter oilseed rape (Brassica napus L.) by means of crop growth modeling. Field Crops Research 54: 137-151.

17. Hey, R., and Porter, J. 2006. The Physiology and Crop yield. Blackwell publishing.

18. Hosseinzadeh, M. H., Esfahani, M., Rabiei, M., and Rabiei, B. 2008. Effect of row spacing on light interception, grain yield and growth indices of rapeseed (Brassica napus L.) cultivars as second crop following rice. Iranian Journal of Crop Sciences 3: 281-302. (in Persian).

19. Justes, E., Denoroy, P. Gabrielle, B., and Gosse, G. 2000. Effect of crop nitrogen status and temperature on the radiation use efficiency of winter oilseed rape. European Journal of Agronomy 13: 165-177.

20. Kemanian, A. R., Stockle, C. O., and Huggins, D. R. 2004. Variability of barley radiation use efficiency. Crop Science 44: 1662-1672.

21. Lebaschy, M. H., and Sharifi Ashour Abadi, E. 2004. Application of physiological growth indices for suitable harvesting of Hypericum perforatum. Pajouhesh and Sazandegi 65: 65-75. (in Persian).

22. Lucas, B., Slafer, A., and Otegui, E. 2003. Seed dry weight response to source–sink manipulations in wheat, maize and soybean: a quantitative reappraisal. Field Crops Research 86: 131-146.

23. Manaffe, W. F., and Kloepper, J. W. 2004. Application of plant growth promoting rhizobacteria in sustainable agriculture. Crop Science 35: 150-164.

24. Miralles, D. J., Ferro, B. C., and Slafer, G. A. 2011. Developmental responses to sowing date in wheat, barley and rapeseed. Field Crops Research 71: 211-223.

25. Nabavi, A. 1998. The Effect of Planting Date on Yield and Components of Canola in Mashhad condition. MSc Thesis. Mashhad Ferdowsi University. (in Persian).

26. Nazeri, P., Khashan, A., Khavazi, K., Ardakani, M. R., and Mirakhori, M. 2012. Effect of use microbial zinc granulated phosphorous bio fertilizer on growth indices of bean. Iranian Journal of Agronomy and Plant Breeding 3: 111-126. (in Persian).

27. Ouzuni Douji, A. A., Esfahani, M., Samizadeh Lahiji, H. A., and Rabiei, M. 2008. Effect of planting pattern and plant density on growth indices and radiation use efficiency of apetalous flowers and petalled flowers rapeseed (Brassica Bapus L.) cultivars. Iranian Journal of Crop Science 9: 400-328. (in Persian).

28. Rahimian mashhadi, H., and Banayane-Aval, M. Biological Control of Weeds. 2006. Iranian Academic Center for Education, Culture and Research, Mashhad.116p. (in Persian).

29. Rodi, D., Rahmanpour, S., and Javidfar, F. 2003. Canola. Seed and plant improvement institute of Karaj, Iran. 53p. (in Persian).

30. Sharma, A. K. 2003.Biofertilizers for sustainable agriculture.1st edition. Jodhpur: Agrobios, India. 456p.

31. Sinclair, T. R., and Muchow, R. C. 1999. Radiation use efficiency. Advances in Agronomy 35: 215-265.

32. Soltani, A. 2005. Determination of effective parameters on accumulation and distribution nitrogen on chickpea. Research design reported. The University Agricultural Science and Natural Resources of Gorgan. 120 p. (in Persian).

33. Soltani, A., Robertson, M. J., Torabi, B., Yousefi Daz, M., and Sarparast, R. 2006b. Modelling seedling emergence in chickpea as influenced by temperature and sowing depth. Agricultural and Forest Meteorology 138: 156-167.

34. Sylvester-Bradley, R., and Makepeace, R. J. 1984. A code for stages of development in oilseed rape (Brassica napus L.). Aspects of Applied Biology 6: 398-419.

35. Tahmasebizade, H., Khodabande, N., Madani, H., and Farahani, I. 2009. Investigation of growth analysis of spring safflower and its effect on yield in Arak condition. New Finding in Agriculture 2: 136-154. (in Persian).

36. Thurling, N. 1974. Morphophysiological determinants of yield in rapeseed (Brassia compestris and Brassica napus). II. Yield components. Australian Journal of Agricultural Research 25:711-721.

37. Vanosterom, E. J., Oleary, G. J. Caberry, P. S., and Craufurd, P. Q. 2007. Growth, development, and yield of tillering pearl millet. III. Biomass accumulation and partitioning. Field Crops Research 79: 85-106.

38. Yano, T., Aydin, M., and Haraguchi, T. 2007. Impact of climate change on irrigation demand and crop growth in a Mediterranean environment of Turkey. Sensors 7: 2297-2315.

39. Zamiri, M. A. 2009. Investigation of the effect of Planting dare on growth, Yield and Components three Cultivars of Canola in Dezfoul Condition. MSc Thesis. Islamic Azad University. Dezfoul Branch. 141p. (in Persian).

40. Zia, S., and Khan, M. A. 2004. Effect of light, salinity and temperature on seed germination of Limonium stocksii. Canadian Journal of Botany 84: 151-157.