| تعداد نشریات | 24 |
| تعداد شمارهها | 877 |
| تعداد مقالات | 7,848 |
| تعداد مشاهده مقاله | 14,537,453 |
| تعداد دریافت فایل اصل مقاله | 12,272,590 |
Quantifying water stress in canola (Brassica napus L.) using crop water stress index | ||
| Iran Agricultural Research | ||
| مقاله 1، دوره 38، شماره 1، دی 2019، صفحه 1-8 اصل مقاله (275.09 K) | ||
| نوع مقاله: Full Article | ||
| شناسه دیجیتال (DOI): 10.22099/iar.2019.5299 | ||
| نویسندگان | ||
| A. Heydari1؛ E. Bijanzadeh* 1؛ R. Naderi1؛ Y. Emam2 | ||
| 1Department of Agroecology, Agricultural College and Natural Resources of Darab, Shiraz University, Darab I. R. Iran | ||
| 2Department of Crop Production and Plant Breeding, College of Agriculture, Shiraz University, Shiraz, I.R. Iran | ||
| چکیده | ||
| The relationship between canopy temperature and soil moisture is particularly important because of using canopy temperature as an indicator of crop water stress. A field experiment was conducted to calculate crop water stress index (CWSI) of two canola cultivars including RGS and Sarigol at College of Agriculture and Natural Resources of Darab, Shiraz University, Iran during 2013-2014 growing season. Irrigation regimes consisted of well watered [Irrigation equal to 100% field capacity (FC)], light drought (75% FC), moderate drought (50% FC), and severe drought (25% FC) stresses which were arranged in a randomized complete block design (RCBD) with three replications. In RGS and Sarigol, CWSI values showed an increasing trend from March (0.066 and 0.093 in well watered) to June (0.711 and 0.821 in severe drought) respectively, as a result of higher vapor pressure deficit (VPD) and increase in canopy-air temperature differences (Tc-Ta).In both cultivars, when the air temperature increased from March to June, Tc-Ta increased. The highest monthly average value of CWSI for all treatments was obtained in June. By increasing the drought stress, the color grading score decreased from 6 to 2 sharply in May and June. An acceptable color quality (6 -5) was sustained in May, under light drought condition. Also, a negative relationship was observed between CWSI with color quality (R2=0.94**) and grain yield (R2=0.97**). It could be concluded that in semi-arid areas, light drought is the best option for canola production while mean seasonal CWSI being ranged about 0.198 to 0.294 without any loss in visual color quality of canola. | ||
| کلیدواژهها | ||
| Canopy temperature؛ color quality؛ drought stress؛ irrigation scheduling | ||
| مراجع | ||
|
Alderfasi, A. A., & Nielsen, D. C. (2001). Use of crop water stress index for monitoring water status and scheduling irrigation in wheat. Agricultural Water Management, 47, 69–75.
Al-Faraj, A., Meyer, G. E., & Horst, G. L. (2001). A crop water stress index for tall fescue (Fetusca arundinacea Schreb.) irrigation decision-making: a traditional method. Commercial Agriculture, 31, 107–124.
Allen, R. G., Pereira, L.S., Raes, D., & Smith, M. (1998). Crop evapotranspiration. FAO Irrigation and Drainage Paper 56. Rome, Italy: Food and Agriculture Organization of the United Nations.
Baladi, R., Bijanzadeh, E., & Naderi, R. (2015). Evaluation of water deficit and phosphorus application methods on phosphorus use efficiency and yield of two rapeseed cultivars. Crop Ecophysiology, 26, 114-121.
Bastug, R., & Buyuktas, D. (2003). The effects of different irrigation levels applied in golf courses on some quality characteristics of turfgrass. Irrigation Science, 22, 87–93.
Bockhold, D. L., Thompson, A. L., Sudduth, K. A., Henggeler, J. C., Colaizzi, P. D., & Barnes, E. M. (2011). Irrigation scheduling based on crop canopy temperature for humid environments. American Society of Agriculture Biology and Engineering, 54, 2021-2028.
Bonos, S. A., & Murphy, J. A. (1999). Growth responses and performance of Kentucky bluegrass under summer stress. Crop Science, 39, 770–774.
Clarke, T. R., Choi, C. Y., & Waller, P. M. (2003). Estimating soil moisture under low-frequency surface irrigation using crop water stress index. Journal of Irrigation Drainage and Engineering, 129, 27-35
Doorenbos, J., & Kassam, A.H. (1979). Yield response to water. FAO Irrigation and Drainage Paper No. 33. Rome, Italy: Food and Agriculture Organization of the United Nations.
Edalat, M., Ghadiri, H., & Zand Parsa, S. (2009). Corn crop water stress index under different redroot pigweed (Amaranthus retroflexus L.) densities and irrigation regimes. Archives of Agronomy and Soil Science, 56, 285-293.
Emekli, Y., Bastug, R., Buyuktas, D., & Emekli, N. Y. (2007). Evaluation of a crop water stress index for irrigation scheduling of bermudagrass. Agricultural Water Management, 90, 205 – 212.
Gardner, B. R., Nielsen, D. C., & Shock, C. C. (1992). Infrared thermometry and the crop water stress index. II. Sampling procedures and interpretation. Journal of Production Agriculture, 5, 466–475.
Garrot, D. J., & Mancino, C. F. (1994). Consumptive water use of three intensively managed bermudagrasses growing under arid conditions. Crop Science, 34, 215–221.
Grimes, D. W., Yamada, H., & Hughes, S.W. (1987). Climate-normalized cotton leaf water potentials for irrigation scheduling. Agricultural Water Management, 12, 293-304.
Grimes, D. W., Yamada, H., & Hughes, S. W. (1987). Climate normalized cotton leaf water potentials for irrigation scheduling. Agricultural Water Management, 12, 293–304.
Heydari, A., Bijanzadeh, E., Naderi, R., & Emam, Y. (2015). Effect of late season drought stress and salicylic acid on canopy temperature, yield and yield components of two rapeseed cultivars. Crop Physiology Journal, 27, 37-53.
Idso, S. B., Jackson, R. D., Pinter, J. R., Reginato, R. J., & Hatfield, J. L. (1981). Normalizing the stress-degree-day parameter for environmental variability. Agriculture Meteorology, 24, 45–55.
Idso, S. B., & Reginato, R. J. (1982). Soil and atmosphere-induced plant water stress in cotton as inferred from foliage temperatures. Water Resource Research, 18, 1143-1148.
Jackson, R. D. (1982). Canopy temperature and crop water stress index. Advance Irrigation. Vol. 1. Academic Press, New York, pp. 43–85
Jackson, R. D., Idso, R. B., Reginato, R. J., & Pinter, P. J. (1981). Canopy temperature as a crop water stress indicator. Water Resource Research, 17, 1133–1138.
Jalali-Farahani, H. R., Slack, D. C., Kopec, D. M., & Matthias, A. D. (1993). Crop water-stress index models for bermudagrass turf. Agronomy Journal, 85, 1210–1217.
Karcher, D. E. & Richardson, M. D. (2003). Quantifying turfgrass color using digital image analysis. Crop Science, 43, 943–951.
Miri, H., & Rahimi,Y. (2009). Effects of combined and separate herbicide application on rapeseed and its weeds in southern Iran. International Journal of Agriculture Biology, 11, 257-260.
Monteith, J. L., & Unsworth, M. H. (1990). Principles of environmental physics. London: Edward Arnold.
Naderi, R., & Ghadiri, H. (2011). Competition of wild mustard (Sinapis arvense L.) densities with rapeseed (Brassica napus L.) under different levels of nitrogen fertilizer. Journal of Agriculture Science and Technology, 13, 45-51.
Orta, A. H., Baser, I., Sehirali, S., Erdem, T., & Erdem, Y. (2004). Use of infrared thermometry for developing baseline equations and scheduling irrigation in wheat. Cereal Research, 32, 363–370.
Orta, A. H., Erdem, T., & Erdem, Y. (2002). Determination of water stress index in sunflower. Helia, 25: 27-38.
Sneha, C., Santhoshkumar, A. V., & Sunil, K. M. (2013). Quantifying water stress using crop water stress index in mahogany (Swietenia macrophylla King) seedlings. Current Science, 104, 348- 51.
Stokcle, C. O., & Dugas, W. A. (1992). Evaluating canopy temperature-based indices for irrigation scheduling. Irrigation Science, 13, 31–37.
Wanjura, D. F., & Upchurch, D. R. (2000). Canopy temperature characterizations of corn and cotton water status. Transactions of the American Society of Agricultural Engineers, 43, 867-875.
Wilde, S. A., & Voigt, G. K. (1977). Munsell color chart for plant tissues. Munsel Color, Gretagmacbeth (1st ed.). New Windsor, New York.
Yuan, G., Luo, Y., Sun, X., & Tang, D. (2004). Evaluation of a crop water stress index for detecting water stress in inter wheat in the North China Plain. Agricultural Water Management, 64, 29-40. | ||
|
آمار تعداد مشاهده مقاله: 1,249 تعداد دریافت فایل اصل مقاله: 1,674 |
||