ارزیابی وضعیت تغذیه‌ای گندم دیم با استفاده از روش DRIS در جنوب استان آذربایجان‌غربی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دنشگاه ارومیه

2 دانشگاه ارومیه

3 استادیار موسسه تحقیقات کشاورزی دیم کشور، مراغه، ایران

4 دانشگاه مراغه

5 فیزیک و فرسایش

چکیده

هدف از این پژوهش، ارزیابی وضعیت تغذیه­ای گندم دیم با استفاده از روش DRIS بود. به منظور تعیین نُرم­ها و شاخص­های DRIS در گندم دیم، 54 نمونه از اندام­های هوایی گیاه جمع‌آوری و غلظت عناصر غذایی نیتروژن (N)، فسفر (P)، پتاسیم (K)، آهن (Fe)، منگنز (Mn)، مس (Cu) و روی (Zn) در آنها تعیین گردید. برای تعیین نُرم­ها، ابتدا مزارع بر اساس میزان عملکرد دانه به دو گروه مزارع با عملکرد بالا و مزارع با عملکرد پایین تقسیم شدند. مزارع با عملکرد بالا برای تعیین نُرم­ها و مزارع با عملکرد پایین برای تعیین شاخص­های DRIS مورد استفاده قرار گرفتند. حد بهینه غلظت عناصر غذایی برای عناصر پرمصرف N، P و K به ترتیب 35/1 – 87/0 ، 104/0 – 036/0، 18/2 -02/1 (درصد) و برای عناصر کم­مصرف Fe، Mn، Cu و Zn به ترتیب، 430-170، 51 - 29، 4/8 – 6/3، 27 - 13 (میلی‌گرم بر کیلوگرم) و نیز غلظت بهینه عناصر غذایی برای N، P و K به ترتیب 11/1، 07/0 و 6/1 (درصد) و برای عناصر Fe، Mn، Cu و Zn به ترتیب 300 ،40، 6 و20 (میلی‌گرم بر کیلوگرم) تعیین شد. ترتیب نیاز غذایی برای عناصر پرمصرف و کم­مصرف به صورت P > K> Fe > N > Mn > Zn > Cu می­باشد که در برنامه تغذیه­ای باید به عناصر P، K، Fe و N توجه بیشتری گردد. شاخص تعادل تغذیه­ای در اکثر مزارعی که دارای عملکرد پایین بودند خیلی بیشتر از صفر بود که این نشان­دهنده عدم تعادل بیشتر عناصر غذایی در این مزارع می­باشد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Evaluation of Nutritional Status of Dryland Wheat Using DRIS Method in South of West Azerbaijan Province

نویسندگان [English]

  • Naser Miran 1
  • MirHassan Rasouli-Sadaghiani 2
  • Vali Feiziasl 3
  • Ebrahim Sepehr 2
  • Mehdi Rahmati 4
  • salman mirzaie 5
1 Dept. of Soil Sci. Urmia Uni
2 Dept of Soil Sci. Urmia Uni
3 Assistant Prof. of Dryland Agricultural Research Institute (DARI), Maragheh, I.R. Iran.
4 Maragheh University
5 فیزیک و فرسایش
چکیده [English]

The aim of this study was to evaluate the nutritional status of dryland wheat using diagnosis, and recommendation integrated system (DRIS) method. To determine the DRIS indices, and norms in dryland wheat, 54 samples were collected from shoots, and concentrations of nutrients nitrogen (N), phosphorus (P), potassium (K), iron (Fe), manganese (Mn), copper (Cu), and zinc (Zn) were determined. To determine the norms, the farms were divided into two groups of high and low-yielding farms based on yield. Optimum concentrations of nutrients for macronutrients N, P, and K were 0.87- 1.35, 0.0360 - 0.104, 2.18 - 1.02 (%), and for micronutrients including Fe, Mn, Cu, and Zn were 170-430, 29-51, 3.6 – 8.4, 13 – 27 (mg kg-1), respectively, as well as optimum nutrient concentrations for N, P, and K were 1.11, 0.07 and 1.6 (%), and for Fe, Mn, Cu, and Zn 300, 40, 6, and 20 (mg kg-1) respectively, were determined. In most low-yielding farms, the nutritional balance index (NBI) was much higher than zero, indicating more nutrient imbalance in these farms. The overall priority for macro and micronutrients is P > K > Fe > N > Mn > Zn > Cu, which should be paid attention to P, K, Fe, and N in the nutritional program.

کلیدواژه‌ها [English]

  • Optimum level
  • nutritional balance index
  • farm yield
  • nutrients
Abebe A., Abera G., Beyene S. 2018. Assessment of the limiting nutrients for wheat (Triticum aestivum L.) growth using Diagnosis and Recommendation Integrated System (DRIS). Communications in Soil Science and Plant Analysis, 49(21): 2653-2663.
Akhter N. 2012. Comparison of DRIS and critical level approach for evaluating nutrition status of wheat in district Hyderabad, Pakistan, Universitäts-und Landesbibliothek Bonn.
Bailey J., Beattie J., Kilpatrick D. 1997. The diagnosis and recommendation integrated system (DRIS) for diagnosing the nutrient status of grassland swards: I. Model establishment. Plant and Soil, 197(1): 127-135.
Beaufils E.R. 1973. Diagnosis and Recommendation Integrated System (DRIS).
Brække F.H., Salih N. 2002. Reliability of foliar analyses of Norway spruce stands in a Nordic gradient. Silva Fennica, 36(2): 489-504.
Brennan R., Penrose B., Bell R. 2019. Micronutrients limiting pasture production in Australia. Crop and Pasture Science, 70(12): 1053-1064.
Chen Z., White J.F., Malik K., Chen H., Jin Y., Yao X., Wei X., Li C., Nan Z. 2022. Soil nutrient dynamics relate to Epichloë endophyte mutualism and nitrogen turnover in a low nitrogen environment. Soil Biology and Biochemistry, 174: 108832.
Engel R., Zubriski J. 1982. Nitrogen concentrations in spring wheat at several growth stages. Communications in Soil Science and Plant Analysis, 13(7): 531-544.
Feiziasl V. 2020. Evaluation of soil fertility status in northwest of Iran drylands by Nutrient Index Value (NIV). Water and Soil, 34(4): 897-919.
Feiziasl V., Baybordi A. 2006. Determination of Diagnosis and Recommendation Integrated System (DRIS) norms for diagnosis of nutrient situation and study of nutrients balance for irrigated wheat crop in East Azarbayjan. Iranian Journal of Crop Science, 7(4): 298-309. (In Persian)
Feiziasl V., Jafarzadeh J., Amri A., Ansari Y., Mousavi S. B., and Chenar M. A. 2010. Analysis of Yield Stability of Wheat Genotypes Using New Crop Properties Balance Index (CPBI) Method. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 38(1): 228–233.
 Hartz T., Miyao E., Valencia J. 1998. DRIS evaluation of the nutritional status of processing tomato. HortScience, 33(5): 830-832.
Hundal H., Singh D., Brar J. 2005. Diagnosis and recommendation integrated system for monitoring nutrient status of mango trees in submountainous area of Punjab, India. Communications in soil science and plant analysis, 36(15-16): 2085-2099.
Ijarotimi O.S., Fakayejo D.A., Oluwajuyitan T.D. 2021. Nutritional characteristics, glycaemic index and blood glucose lowering property of gluten-free composite flour from wheat (Triticum aestivum), soybean (Glycine max), oat-bran (Avena sativa) and rice-bran (Oryza sativa). Applied Food Research, 1(2): 100022.
Jat H., Datta A., Sharma P., Kumar V., Yadav A., Choudhary M., Choudhary V., Gathala M., Sharma D., Jat M. 2018. Assessing soil properties and nutrient availability under conservation agriculture practices in a reclaimed sodic soil in cereal-based systems of North-West India. Archives of Agronomy and Soil Science, 64(4): 531-545.
Letzsch W., Sumner M. 1984. Effect of population size and yield level in selection of diagnosis and recommendation integrated system (DRIS) norms. Communications in Soil Science and Plant Analysis, 15(9): 997-1006.
McBratney A., Field D. 2015. Securing our soil. Soil Science and Plant Nutrition, 61(4), 587-591.
Meldal‐Johnsen A., Sumner M. 1980. Foliar diagnostic norms for potatoes. Journal of plant nutrition, 2(5), 569-576.
Miran N., Samadi A. 2012. Evaluation of nutritional status of sugar beet using Diagnostic and Recommendation Integrated System (DRIS) in comparison with Deviation from Optimum Percentage (DOP) in western Azerbaijan province. Journal of Science and Technology of Agriculture and Natural Resources, 16(61 (B)): 197-206. (In Persian)
Miran N., Samadi A. 2014. Determination and use of DRIS norms for evaluating nutritional status of sugar beet in Western Azerbaijan Province. Water and Soil Science, 24(1): 195-206. (In Persian)
Miran N., Rasouli-Sadaghiani M. H., Feiziasl V., Sepoehr E., Rahmati M. and Mirzaee S. 2021. The performance of Nutrient Index Value (NIV) in evaluation of dry land. Applied Soil Research, 9(1): 57-71. (In Persian)
Mourão Filho F.d.A.A., 2004. DRIS: Concepts and applications on nutritional diagnosis in fruit crops. Scientia Agricola, 61: 550-560.
Nayak H.S., Silva J.V., Parihar C.M., Krupnik T.J., Sena D.R., Kakraliya S.K., Jat H.S., Sidhu H.S., Sharma P.C., Jat M.L. 2022. Interpretable machine learning methods to explain on-farm yield variability of high productivity wheat in Northwest India. Field Crops Research, 287: 108640.
O'Connell C., Osmond D. 2022. Why soil testing is not enough: A mixed methods study of farmer nutrient management decision-making among US producers. Journal of Environmental Management, 314: 115027.
Olsson L., Barbosa H., Bhadwal S., Cowie A., Delusca K., Flores-Renteria D., Hermans K., Jobbagy E., Kurz W., Li D. 2019. Land degradation: IPCC special report on climate change, desertification, land 5 degradation, sustainable land management, food security, and 6 greenhouse gas fluxes in terrestrial ecosystems, IPCC Special Report on Climate Change, Desertification, Land 5 Degradation, Sustainable Land Management, Food Security, and 6 Greenhouse Gas Fluxes in Terrestrial Ecosystems. Intergovernmental Panel on Climate Change (IPCC), pp. 1.
Sadeghi S., Khazayi M., Mirnia S.K. 2022. Effect of soil surface disturbance on overland flow, sediment yield, and nutrient loss in a hyrcanian deciduous forest stand in Iran. CATENA, 218: 106546.
Silveira C.P., Nachtigall G.R., Monteiro F.A. 2005. Norms for the diagnosis and recommendation integrated system for signal grass. Scientia Agricola, 62: 513-519.
Sumner M. E. 1971. Preliminary N, P and K foliar diagnostic norms for soybeans. Agron. J., 69: 226–230.
Sumner M. 1990. Advances in the use and application of plant analysis. Communications in Soil Science and Plant Analysis, 21(13-16): 1409-1430.
Sun L., Sun R., Chen L., Sun T. 2022. Sensitive indicators of soil nutrients from reservoir effects in the hot-dry valleys of China. CATENA, 216: 106421.
Terra M.M., Guilherme M.A.S., Santos W.R.d., Paioli-Pires E.J., Pommer C.V., Botelho R.V. 2003. Evaluation of the nutritional condition of Italia grapevine in the region of Jales, SP, using the diagnosis and recommendation integrated system. Revista Brasileira de Fruticultura, 25: 309-314.
Walworth J., Sumner M. 1987. The diagnosis and recommendation integrated system (DRIS), Advances in soil science. Springer, pp. 149-188.
Walworth J., Woodard H., Sumner M. 1988. Generation of corn tissue norms from a small, high‐yield data base. Communications in soil science and plant analysis, 19(5): 563-577.
Xu X., He P., Qiu S., Zhao S., Ding W., Zhou W. 2022. Nutrient management increases potato productivity and reduces environmental risk: Evidence from China. Journal of Cleaner Production, 369: 133357.
Zadoks J.C., Chang T.T., Konzak C.F. 1974. A decimal code for the growth stages of cereals. Weed research, 14(6): 415-421.
Zhou B., Chen Y., Zeng L., Cui Y., Li J., Tang H., Liu J., Tang J. 2022. Soil nutrient deficiency decreases the postharvest quality-related metabolite contents of tea (Camellia sinensis (L.) Kuntze) leaves. Food Chemistry, 377: 132003.