برآورد ضرایب‌ تنش، گیاهی و ‌واکنش عملکرد به ‌آب در بادام‌ زمینی تحت سطوح مختلف آبیاری

نوع مقاله : مقاله پژوهشی

نویسندگان

1 محقق، بخش آبیاری و فیزیک خاک، موسسه تحقیقات خاک و آب، سازمان تحقیقات، آموزش و ترویج کشاورزی، کرج، ایران.

2 استادیار، بخش آبیاری و فیزیک خاک، موسسه تحقیقات خاک و آب، سازمان تحقیقات، آموزش و ترویج کشاورزی، کرج، ایران

3 دانشیار، عضو هیئت علمی، بخش تحقیقات آبیاری و فیزیک خاک، مؤسسه تحقیقات خاک و آب، سازمان تحقیقات، آموزش و ترویج کشاورزی، کرج، ایران

4 استاد، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، گروه علوم مهندسی آب، تهران، ایران.

چکیده

جهت تخمین ضرایب ­­تنش (Ks) و ضریب گیاهی (Kc) و همچنین ضرایب پاسخ عملکرد گیاه به آب یا ضریب حساسیت (Ky)  در مراحل مختلف رشد بادام­ زمینی، تحقیقی به­صورت کرت­های خرد شده در قالب طرح پایه بلوک­های کامل تصادفی در سه تکرار در سال­های 1396 و 1397 در استان گیلان اجرا شد. تیمار اصلی شامل دیم و تأمین 120، 100، 80، 60 و 40 درصد نیازآبی و تیمار فرعی شامل دو رقم بادام­ زمینی جنوبی و گیل بود. با توجه به نتایج، مقادیر ضرایب ­­تنش آبی، در رقم جنوبی در سال 96 و 97 به ترتیب در بازه 1-45/0 و 1-63/0 متغیر بود، در حالی که این ضریب در رقم گیل در سال 96 در بازه 1-47/0 و در سال 97 در بازه 1-64/0 قرار داشت. ضریب­ گیاهی در مرحله ابتدایی (20روز)، توسعه­ گیاه (30روز)، میانی (45روز) و پایانی (30روز) در رقم جنوبی در سال­ 96 به­ترتیب 4/0، 37/0، 01/1 و 79/0 و در سال 97 به­ترتیب 4/0، 37/0، 98/0 و 75/0 به­دست آمد. در حالی که در رقم گیل، این ضرایب در سال­ 96 به­ترتیب 4/0، 36/0، 01/1 و 78/0 و در سال 97 به­ترتیب 4/0، 36/0، 98/0 و 74/0 بود. واسنجی ضریب­ پاسخ عملکرد گیاه به آب­ در ارقام گیل و جنوبی با روش­های Raes, (2004) و Tafteh et al, (2013) مورد بررسی قرار گرفت. در روش Raes, (2004) مقدار ریشه میانگین مربعات خطا 183کیلوگرم در هکتار و مقدار نرمال شده آن حدود 16 درصد و شاخص کارایی این روش 72/0 بود. در روش Tafteh et al, (2013) مقدار ریشه میانگین مربعات خطا 188 کیلوگرم در هکتار و مقدار نرمال شده آن حدود 17 درصد و شاخص کارایی این روش 71/0 به­دست آمد. با توجه به NRMSE دو مدل بررسی شده، نتابج کلی حاکی از آن است که مدل Raes, (2004) با 164/0 و مدل Tafteh et al, (2013) با 168/0،  در برآورد عملکرد بادام­زمینی دارای دقت قابل قبولی می­باشند.

کلیدواژه‌ها

عنوان مقاله [English]

Estimation of Stress Coefficients, Plant Coefficients and Yield Response to Water in Peanut under Different Levels Irrigation

نویسندگان [English]

  • Ali Abdzad Gohari 1
  • Arash Tafteh 2
  • Niazali Ebrahimipak 3
  • Hossein Babazadeh 4
1 Researcher of Department of Irrigation and soil physics, Soil and Water Research Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran
2 Assistant professor, Department of irrigation and soil physics, Soil and Water Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
3 Associated professor of Department of Irrigation and soil physics, Soil and Water Research Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran.
4 Professor, Department of Water Engineering and Sciences, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran
چکیده [English]

To estimate stress coefficients (Ks), plant coefficients (Kc) and plant sensitivity coefficients (Ky) to water at different stages of peanut growth, a study in the form of split plots in a randomized complete block design in three repetitions was performed in 2017 and 2018 in Guilan province. The main treatments included rainfed, and supply of 120, 100, 80, 60, and 40% of water requirement and the sub-treatments were two peanut cultivars of Jonobi and Guil. According to the results, the values of water stress coefficients in the Jonobi cultivar varied from 0.45 to 0.63 in 2017 and 2018, respectively. This coefficient, however, was in the range of 0.47-1 in 2017 and 0.64-1 in 2018 for the cultivar Guil. Plant coefficient in the initial stage (20 days), plant development (30 days), middle (45 days) and final (30 days) was 0.4, 0.37, 1.01, and 0.79 during 2017, and 0.4, 0.37, 0.98, and 0.75 in 2018 for Jonobi cultivar, respectively. These coefficients were 0.4, 0.36, 1.01 and 0.78 in 2017, and 0.4, 0.36, 0.98 and 0.74 in 2018 for Guil cultivar, respectively. Calibration of sensitivity coefficient in Guil and Jonobi cultivars was studied by Raes (2004) and Tafteh et al. (2013) methods, and it was found that in Raes (2004) method, the root mean square error of 183 kg.ha-1 and its normalized value was about 16% and the efficiency index of this method was 0.72. In Tafteh et al. (2013) method, the mean root mean square error was 188 kg.ha-1 and its normalized value was about 17% and the efficiency index of this method was 0.71. Overall, Raes (2004) with NRMSE of 0.164 and Tafteh et al. (2013) with an NRMSE of 0.168, showed an acceptable accuracy in estimating peanut yield.

کلیدواژه‌ها [English]

  • Water requirement
  • Actual plant evapotranspiration
  • Lysimeter
  • Peanut cultivars

مراجع

Abdzad Gohari, A. (2021a). Investigations of Yield, Production Function and Water Productivity of Two Peanut Cultivars under Conditions Deficit Irrigation in Different Irrigation Methods. Iranian Journal of Irrigation and Drainage. 2(15), 467-482. (In Farsi)
Abdzad Gohari, A. (2021b). Investigation of the Effect of Deficit Irrigation and Two Irrigation Methods on Yield and Yield Components of Two Peanut Cultivars. Journal of Water Research in Agriculture (Soil and Water Sci.).35(1), 61-73. (In Farsi)
Abdzad Gohari, A. and Sadeghipour, O. (2019). Weed management in peanut fields. Andishmandan Pars Publications, 62 p. (In Farsi)
Abou Kheira Abdrabbo, A. (2009). Macromanagement of deficit-irrigated peanut with sprinkler irrigation. Agriculture Water Management. 96, 1409-1420.
Akbari Nodehi, (2017). D. Effect of water stress on different growth stages of yield and water use efficiency of maize. Water and Irrigation Management. 7(2), 305-318. (In Farsi)
Akcali, I. D. Ince, A.and Guzel. E. (2006). Selected Physical Properties of Peanuts. International Journal of Food Properties. 9, 25-37.
Allen, R. G., L. S. Pereira, T. A. Howell andM. E. Jensen. (2011). Evapotranspiration information reporting: I. Factors governing measurement accuracy. Agricultural Water Management. 98(6), 899-920.
Allen, R.G., Pereira, L.S., Raes, D., and Smith, M., (1998). Crop evapotranspiration-Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper No 56. Rome, Italy, 300 p.
FAO 2018. FAOSTAT. Available online: http://faostat.fao.org/site/567/default.aspx# ancor.
Archer, P., (2016). Overview of the peanut industry supply chain. In: Stalker, H.T., Wilson, R.F. (Eds.), Peanuts: Genetics, Processing, and Utilization. (Amster- dam: ElsevierInc), pp. 253-266.
Aruna, K.T.,  Satish kumar, U., Ayyana gowdar, M. S.,  Srinivasa Reddy, G. V. and Shanwad, U. K. (2017). Crop Coefficient (Kc), Water Requirement and Effect of Deficit Irrigation on Groundnut Crop Yield Under Agro Climatic Condition of Raichur, Karnataka. International Journal of Creative Research Thoughts (IJCRT). 5(3), 333-340.
Arunyanark, A., Jogloy, S., Akkasaeng, C., Vorasoot, N., Nageswara Rao, R.C., Wright, G.C. and Patanothai, A. (2009). Association between aflatoxin contamination and drought tolerance traits in peanut. Field Crops Research.114, 14-22.
Babazadeh, H., Abdzad Gohari, A. and Khonok, A., (2017). Evaluation of peanut yield and its components in terms of drip irrigation and nitrogen fertilizer. Journal of Water Research in Agriculture (Soil and Water Sci.).31(4), 571-584. (In Farsi)
Boydak, E. Karaaslan, D. Hüseyin, and Türko. H. (2010). The effect of different nitrogen and irrigation levels on fatty acid composition of peanut oils. Turkish Journal of Field Crops. 15(1): 29-33.
Dong, Y.J. , Chen, W.F. , Zhuge, Y.P. , Song, Y.L. , Hu, G.Q. , Wan, Y.S. , Liu, F.Z. , Li, X. (2018). Effect of application of exogenous nitric oxide at different critical growth stages in alleviating Fe deficiency chlorosis of peanut growing in calcareous soil. Journal Plant Nutrient. 47, 867-887.
Doorenbos, J., Kassam, A.H., (1979). Yield response to water. FAO Irrigation and Drainage Paper 33, Rome, Italy, 193 pp.
Han, L.Z. Liu, C. Zhou, J. (2019). Effects of inoculation with growth-promoting bacteria on peanut rhizosphere soil microorganism and nutrient elements. In: Genomics and Applied Biology, 38, pp. 3065-3073.
Nataraj, K.C. Babu, M.V., Narayanaswamy, G., Bhargavi, K., Reddy, B.S., Rao, C.S. (2016). Nutrient management strategies in groundnut-based crop production systems in dry- land regions of southern Andhra Pradesh. Indian Journal of Fertilizers. 16 (10), 58-75.
Pasupuleti, J. M.T. Variath, M. K. Pandey, H. Desmae, B. N. Motagi, P. Okori, S.S. Manohar. (2016). Genomic Tools in Groundnut Breeding Program: Status and Perspectives. Frontiers in Plant Science. 7, p. 289.
Raes, D. (2004). Budjet: a soil water and salt balance model. Reference Manual. Version 6.0. and select downloads and next software.
Subhashini, D.V. (2016). Improved growth and nutrient uptake in peanut inoculated with Glomus intraradices. Annals of Plant Protection Sciences. 24, 145-147.
Tafteh, A. Babazadeh, H. EbrahimiPak, N.A. and Kaveh, F. (2014). Determine yield response factors of important crops by different production functions in Qazvin Plain. Ecology, Environment and Conservation. 20, 415-422.
Tafteh, A., Babazadeh, H., EbrahimiPak, N.A., and F. Kaveh, (2013). Evaluation and improvement of crop production functions for simulation winter wheat yields with two types of yield response factors. Journal of Agricultural Science. 5 (3). 111-122.
Xia, Z. Wang, Q. She, Z. Gao, M. Zhao, Y. Guo, L. Jin, C. (2019). Nitrogen removal pathway and dynamics of microbial community with the increase of salinity in simultaneous nitrification and denitrification process. Science. Total Environ. 697. 134047.
Zhao, Y.J., Liu, J.L., Zhang, Y.B., Liu, S., Sun, H.J. (2019). The response of spring peanut to nitrogen, phosphorus and potassium in Eastern Hebei Province. Acta Agriculture. Bore- ali-Sin. 34, 192-198.
 
 
 
تحقیقات آب و خاک ایران
دوره 52، شماره 11
بهمن 1400
صفحه 2763-2774

فایل ها

هم رسانی

ارجاع به این مقاله

آمار