بررسی حساسیت درون فصلی تبخیر-تعرق ذرت به تنش آبی، در سطوح مختلف آبیاری

نوع مقاله : مقالات پژوهشی

نویسنده

دانشگاه بین المللی امام خمینی(ره) قزوین

چکیده

در این پژوهش حساسیت تبخیر-تعرق ذرت به تنش آبی، در مراحل متمایز رشد و برای شرایط کاربرد مقادیر مختلف آب آبیاری بررسی شد. آزمایش به‌صورت فاکتوریل و در قالب طرح بلوک‌های کامل تصادفی انجام شد. تیمارهای آبیاری شامل چهار سطح (I0)100، (I1)80، (I2)60 و (I3)40 درصد نیاز آبی گیاه و تیمارهای مراحل رشد شامل چهار مرحله‌ی اولیه، توسعه، میانی و پایانی رشد بود. تبخیر-تعرق روزانه گیاه بر اساس بیلان آب خاک در منطقه ریشه اندازه‌گیری شد. مقادیر تبخیر-تعرق در مراحل رشد مذکور به‌ترتیب برابر با 79، 8/201، 8/123 و 6/14 میلی‌متر (در تیمار I0)، 3/78، 196، 6/112 و 6/14 میلی‌متر (در تیمار I1)، 72، 6/173، 99 و 7/11 میلی‌متر (در تیمار I2)، 8/62، 5/147، 5/81 و 4/8 میلی‌متر (در تیمار I3) اندازه‌گیری شد. مقدار عملکرد خشک ذرت در تیمارهای I0، I1، I2 و I3 به‌ترتیب برابر با 1/17، 8/15، 6/12 و 7/8 تن بر هکتار بود. در کل دوره رشد و در سطوح آبیاری I1، I2 و I3، مقدار تبخیر-تعرق نسبی ذرت به‌ترتیب 6/95، 85 و 6/71 درصد و مقدار عملکرد نسبی محصول به‌ترتیب 4/92، 7/73 و 9/50 درصد برآورد شد. در این پژوهش ضرایب حساسیت درون فصلی تبخیر-تعرق ذرت به تنش آبی، از طریق مدل جنسن مدل‌سازی شد. به‌این صورت که برای داده‌های واقعی هر تیمار تحت تنش (I1الی I3) و در مراحل اولیه، توسعه، میانی و پایانی رشد ذرت، به‌ترتیب ضرایب حساسیت  الی  (موجود در مدل جنسن) توسط نرم‌افزار SPSS برآورد شد. میانگین ضرایب مذکور در تیمارهای تحت تنش به‌ترتیب برابر با 421/0، 37/1، 274/0 و 133/0 تعیین شد. برای صحت‌سنجی مدل جنسن در تخمین عملکرد نسبی واقعی ذرت، از آماره‌های ارزیابی ، EF، RMSE، ME و CRM استفاده شد. آماره‌های مذکور به‌ترتیب برابر با 998/0، 986/0، 753/2، 026/0 و 021/0 محاسبه شد که نشان‌دهنده کارایی خوب مدل در تخمین عملکرد نسبی محصول بود. همچنین در سطوح مختلف آبیاری، بین دو پارامتر تبخیر-تعرق و عملکرد زیست‌توده خشک ذرت، رابطه‌ی Y=69.935ET-12281 با ضریب همبستگی 999/0 برازش داده شد. انتخاب مرحله‌ی رشد مناسب به‌منظور اعمال تنش آبی و سطح تنش وارده، تأثیر به‌سزایی در مقدار تبخیر-تعرق و تولید زیست‌توده گیاهی داشت. دستاورد کاربردی پژوهش این بود که با استفاده از مدل‌ها و روابط بین تبخیر-تعرق و عملکرد گیاه، می‌توان بر اساس مقدار تبخیر-تعرق واقعی و تحت مدیریت در مراحل مختلف رشد، مقدار عملکرد واقعی محصول را تخمین زد. همچنین با توجه به تأثیر شدت تنش آبی بر کاهش تعرق گیاه و افزایش تبخیر از سطح خاک، استفاده از مالچ روی خاک به‌خصوص در مراحل اولیه و پایانی رشد قابل توصیه بود.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Investigation of the Intra-Seasonal Sensitivity of Maize Evapotranspiration to Water Stress, at Different Irrigation Levels

نویسنده [English]

  • R. Saeidi
Ph.D. of Irrigation and Drainage Engineering, Department of Water Engineering, Faculty of Agriculture and Natural Resources, Imam Khomeini International University
چکیده [English]

Introduction: Adeqiate water use in the agricultural sector requires accurate knowledge of crop sensitivity to environmental stresses (such as water stress). The crop sensitivity to water stress may be different at different growth stages and may have a different effect on the actual amount of crop evapotranspiration compared to the standard conditions. At different levels of water stress, studying the sensitivity of crop evapotranspiration at different growth stages can be provided management strategies for optimal water consumption. In the present research, the intra-seasonal sensitivity coefficients of maize were modeled by using the Jensen model.
Materials and Methods: In this research, the effect of water stress levels and growth stage sensitivity on the amount of maize (S.C 704) evapotranspiration was investigated. The experiment was performed as factorial based on randomized complete block design. The treatments included four irrigation levels of 100 (I0), 80 (I1), 60 (I2), and 40 (I3) percent of the crop water requirement and four growth stages of initial, development, middle and final. In between two irrigations, the amount of daily soil moisture was measured in the center of each plot and the depth of the crop root zone. Therefore, the amount of evapotranspiration of crops per unit area was estimated according to the soil water balance. Analysis of variance and mean data comparison of evapotranspiration and dry biomass yield were performed by SPSS software and using Duncan's multiple tests. By actual evapotranspiration and yield data, intra-seasonal sensitivity coefficients of maize to water stress (λ1 to λ4) were determined by SPSS software.
Results and Discussion:
Evapotranspiration
The effect of irrigation water amount and growth stage on the maize evapotranspiration amount was significant at the probability level of 1%. Evapotranspiration amounts at the initial, developmental, middle, and final of maize growth stages were estimated equal to 79, 201.8, 123.8 and 14.6 mm (in I0 treatment), 78.3, 196, 126.6 and 14.6 mm (in I1 treatment), 72, 173.6, 99 and 11.7 mm (in I2 treatment), 62.8, 147.5, 81.5 and 8.4 mm (in I3 treatment), respectively. Reduction of evapotranspiration compared to control treatment (I0) in the initial, developmental, middle, and final growth stages were estimated equal to 0.9, 2.8, 9, and 0 (in I1 treatment), 8.8, 14, 20, and 19.8 (in I2 treatment), 20.5, 26.9, 34.2 and 42.4 (in I3 treatment) percent, respectively. The results showed that the slope of evapotranspiration reduction was not the same at different irrigation levels. Also, the relative evapotranspiration of maize (in all growth seasons) at irrigation levels of I1, I2, and I3 were estimated equal to 95.6, 85, and 71.6 percent, respectively. Therefore, when applying water stress, the optimal evapotranspiration rate can be adjusted by selecting the suitable growth stage.  
Yield
The effect of irrigation levels on the dry biomass yield of maize was significant at the level of 1% probability. The dry yield of maize in treatments of I0, I1, I2, and I3 were equal to 17.1, 15.8, 12.6, and 8.7 (tons per hectare), respectively. The relative yield of maize at irrigation levels of I1, I2, and I3 were estimated to be 92.4, 73.7, and 50.9 percent, respectively, in the Qazvin region. The reduction of soil available water affected the water uptake by the crop and reduced the yield of maize.
Modeling of intra-seasonal sensitivity coefficients of water stress
At the initial, developmental, middle, and final growth stages of maize, stress sensitivity coefficients of λ1, λ2, λ3, and λ4 were estimated in water stress treatments. The mean of mentioned coefficients in stress treatments was calculated to be 0.421, 1.37, 0.274, and 0.133, respectively. The results showed that during the development stage of maize growth, the effect of water stress on yield reduction was more. The model efficiency for estimating the amount of relative yield was evaluated. Evaluation statistics of R2, EF, RMSE, ME and CRM were estimated to be 0.998, 0.986, 2.753, 0.026 and 0.021, respectively. The results showed that the Jensen model efficiency was good, and it can be used in planning the low irrigation for different growth stages of maize.
Yield-Evapotranspiration Function of Maize in all of the growth stages
Across different irrigation levels, a simple linear relationship of Y=69.935ET-12281 (with a correlation coefficient of 0.999) was fitted between two parameters of evapotranspiration and dry biomass yield of maize. Therefore, using the above equation in low irrigation management, the amount of maize yield can be estimated based on the evapotranspiration amount. In this research, 175 mm evapotranspiration was needed for the production of the initial unit of maize biomass. That is, the transpiration portion in the above amount was negligible, and it was mostly allocated to the soil evaporation portion.
Conclusion: The crop sensitivity to water stress and different needs to transpiration at different growth stages were the reasons for the different reduction of maize evapotranspiration. Reduction of soil available water reduced the water uptake and transpiration, and crop biomass. The results showed that reducing the water stress was effective in increase of maize evapotranspiration efficiency. In order to produce the maximum crop biomass, the sensitivity of the maize growth stage and the water stress level must be considered.

کلیدواژه‌ها [English]

  • Cropyield
  • Growth stages
  • Jensen model
  • Low irrigation
  • yield
1-       Alinejadian Bidabadi A., Jorooni E., Barzegar A., and Maleki A. 2016. The effect of different irrigation levels on water use efficiency on the basis of maize grain and soil moisture variations. Journal of Water and Irrigation Management 6(1): 47-59. (In Persian with English abstract)
2-       Allen R.G., Pereira L.S., Raes D., and Smith M. 1998. Crop evapotranspiration. Guidelines for computing crop water requirements. FAO Irrigation Drainage Paper No.56: 1-326.
3-       Akbari Nodehi D. 2018. Effect of water stress on different growth stages of yield and water use efficiency of maize. Journal ofWater and Irrigation Management 7(2): 305-318. (In Persian with English abstract)
4-       Farre I., and Faci J.M. 2009. Deficit irrigation in maize for reducing agricultural water use in a Mediterranean environment. Journal of Agricultural Water Management 96: 383–394.
5-       Greaves G., and Wang Y. 2017. Yield response, water productivity, and seasonal water production functions for maize under deficit irrigation water management in southern Taiwan. Journal of Plant Production Science 20(4): 353-365.
6-       Hemmati R., Maghsoudi K., and Emam Y. 2014. Morpho-physiological responses of maize to drought stress at different growth stages in northern semi-arid region of Fars. Journal of Crop Production and Processing 4(11): 67-74. (In Persian)
7-       Hooshmand A., Frutan M., and Boroomandnasab S. 2014.Evaluation of deficit irrigation and sown pattern on yield and water use efficiency of maize (KSC-704). Journal of Irrigation Sciences and Engineering 37(3): 43-52. (In Persian with English abstract)
8-       Jarollahi R. 2001. Determination of readily available water in different stages of growth for grain corn in Karaj. Journal of Soil and Water Sciences 15(2): 290-298. (In Persian with English abstract)
9-       Jensen M.E. 1968. Water Consumption by Agricultural Plants. In: Kozlowski, T.T., (ed.) Plant Water Consumption and Response. Water Deficits and Plant Growth, Academic Press, New York, 2: 1-22.
10-   Jiang X., Zhao Y., Wang R., and Zhao S. 2019. Modeling the relationship of tomato yield parameters with deficit irrigation at different growth stages. Journal of Hort Science 54(9): 1492–1500.
11-   Kipkorir E.D., and Raes D. 2002. Transformation of yield response factor into Jensen’s sensitivity index. Journal of Irrigation and Drainage Systems 16: 47–52.
12-   Mohammadi Behmadi M., and Armin M. 2017. Effect of Drought Stress on Yield and Yield Components of Different Maize Cultivars in Delayed Cultivation. Journal of Applied Research in Plant Ecophysiology 4(1): 17-34. (In Persian)
13-   Nielsen R.L. 2002. Drought and heat stress effects on corn pollination.Journal of Agry (Purdue) 196: 19-25.
14-   Saeidi R., Sotoodehnia A., Ramezani Etedali H., Nazari B., and Kaviani A. 2018. Effect of water salinity and soil nitrogen deficiency on Ks-coefficient and readily available water of maize. Journal of Water and Soil 32(5): 865-878. (In Persian with English abstract)
15-   Saeidi R., Sotoodehnia A., Ramezani Etedali H., Kaviani A., and Nazari B. 2019. Modeling of coefficients of salinity and fertility stresses in estimation of actual evapotranspiration rate of maize. Ph.D. dissertation, Imam Khomeini International University of Qazvin. (In Persian with English abstract)
16-   Saeidinia M., Nasrolahi A.H., and Sharifipoor M. 2019. Investigating the Ability of Crop Water Stress Index for Irrigation Scheduling and Estimating Corn Forage Yield. Iranian Journal of Soil and Water Research 50(3): 555-565. (In Persian with English abstract)
17-   Solimanifard A., and Naseri R. 2016. The Effects of irrigation regimes and planting patterns on seed yield and some agronomic traits of maize (S.C. 604). Journal of Crop Eco physiology 1(37): 201-212. (In Persian).
18-   Souza J.L.M., Gerstemberger E., Gurski B.C., and Oliveira R.A. 2015. Adjustment of water-crop production models for ratoon sugarcane. Journal of Pesq. Agropec, 45(4): 426-433.
19-   Trout T.J., and Dejonge K.C. 2017. Water productivity of maize in the US high plains. Journal of Irrigation Science 35: 251–266.