ارزیابی وضعیت تغذیه‌ای باغ‌های لیمو رقم لیسبون و نارنگی رقم پرل شهرستان دزفول با روش‌های DRIS و DOP

نویسندگان

1 دانش آموخته دکتری علوم خاک، دانشکده کشاورزی، دانشگاه شهرکرد

2 استاد گروه علوم خاک، دانشکده کشاورزی، دانشگاه ارومیه

3 گروه علوم خاک، دانشکده کشاورزی، دانشگاه ارومیه، ایران

چکیده

هدف از این پژوهش، ارزیابی وضعیت تغذیه‌ای باغ‌های لیمو لیسبون و نارنگی پرل شهرستان دزفول با استفاده از روش نظام تلفیقی تشخیص و توصیه (DRIS) و شاخص انحراف از درصد بهینه (DOP) بود. بدین منظور، به صورت تصادفی 30 باغ لیمو رقم لیسبون و 30 باغ نارنگی رقم پرل از شهرستان دزفول انتخاب و نمونه‌های برگ از برگ‌های شاخه‌های غیربارده به صورت مرکب برداشت شد. نتایج نشان داد که برای باغ‌های لیمو لیسبون مقدار بهینه عناصر غذایی پر مصرف N، P، K، Ca و Mg به‌ترتیب 97/2، 11/0، 85/1، 88/3 و 17/0 درصد و عناصر کم مصرف Fe، Zn، Mn، Cu و B به‌ترتیب 5/200، 9/24، 9/23، 8/68 و 9/32 میلی‌گرم بر کیلوگرم و برای نارنگی پرل نیز مقدار بهینه غلظت عناصر غذایی پر مصرف N، P، K، Ca و Mg به‌ترتیب 97/2، 09/0، 57/1، 44/3 و 34/0 درصد و عناصر کم مصرف Fe، Zn، Mn، Cu و B به به‌ترتیب 2/167، 7/32، 1/26، 0/28 و 4/48 میلی‌گرم بر کیلوگرم به دست آمد. مقایسه روش‌های DRIS و DOP نشان داد که آهن در باغ‌های لیمو لیسبون و بر در باغ‌های نارنگی پرل در هر دو روش منفی‌ترین شاخص بودند. براساس شاخص DRIS، اولویت‌بندی کلی عناصر پرمصرف و کم‌مصرف برای باغ‌های لیمو لیسبون Fe > N > B > K > Mn > Ca > Mg = P > Cu > Zn و برای باغ‌های نارنگی پرل B > Fe > K > Cu > N > Ca > Mg > Mn > Zn > P تعیین گردید.

کلیدواژه‌ها


عنوان مقاله [English]

Evaluating the Nutritional Status of Lisbon Lemon and Perl Tangerine gardens in Dezful Using DRIS and DOP Methods

نویسندگان [English]

  • Salman Mirzaee 1
  • Mir Hassan Rasouli sadaghiani 2
  • Naser Miran 3
1 Soil Science, Faculty of Agriculture, Shahrekord University, Iran
2 Prof. of Soil Science, Faculty of Agriculture, Urmia University, Iran
3 Department of Soil Science, Faculty of Agriculture, Urmia University, Iran
چکیده [English]

Background and Objectives: Citrus is an important fruit crop in Iran. One of the main reasons for decreasing yield of these plants, in addition to moisture stress, is their unbalanced nutrition, so nutrient balance is an important factor in increasing quantity and quality of crop production. In proper plant nutrition, each nutrient must not only be sufficiently available to the plant but also create a state of equilibrium, and observance of the ratio between the nutrients is of particular importance. Diagnosis and recommendation integrated system (DRIS), and deviation from optimum percentage (DOP) can be used as efficient methods to interpret the results of plant analysis and the nutritional diagnosis in crops and fruit trees. In the north of Khuzestan, due to the dense cultivation of trees and soil depletion of the plant's nutrients, it requires widespread use of fertilizers containing macro and micronutrients. The objective of this study was to determine the optimum level of the nutrients and evaluate the nutritional status of Lisbon lemon (Citrus lemon) and Perl tangerine (Citrus tangerina) in Dezful area using DRIS and DOP methods.
Methodology: 30 Lisbon lemon and 30 Perl tangerine gardens were randomly selected from citrus gardens in Dezful region in the south of Iran. Leaf samples as composite were collected from non-fruiting branches in late September 2015, and N, P, K, Ca, Mg, Fe, Mn, Zn, Cu, and B concentrations were determined. DRIS norms were achieved from the gardens with high-yielding. Then, DRIS and DOP indices for nutrients in the gardens with low-yielding, considering average yield, were calculated to evaluate nutrients balances and order of nutrient requirements. Sufficiency ranges of macro and micronutrients were derived by the DRIS method. The mean concentrations of nutrients in the high-yielding population were used as reference values to calculate DOP indices. Finally, nutritional balance index (NBI) was calculated for all nutrients.
Findings: The results showed that the optimum level of the nutrients in Lisbon lemon leaves were 2.97, 0.11, 1.85, 3.88 and 0.17% for N, P, K, Ca, Mg, and 200.5, 24.9, 23.9, 68.8, 32.9 mg kg-1 for Fe, Zn, Mn, Cu, and B, respectively. Also, the optimum level of these nutrients in Perl tangerine leaves were 2.97, 0.09, 1.57, 3.44, and 0.34% for N, P, K, Ca, Mg, and 167.2, 32.7, 26.1, 28.0, 48.4 mg kg-1 for Fe, Zn, Mn, Cu, and B, respectively. DRIS-derived sufficiency ranges in Lisbon lemon (Citrus lemon) were 1.7-4.2, 0.08-0.14, 1.2-2.5, 3.2-4.5, 0.13- 0.2% for N, P, K, Ca, Mg, and 126.5-274.6, 20.7-29.2, 25.1-112.5, 16.4-31.5, 9.8-56.1 mg/kg for Fe, Mn, Zn, Cu, B, respectively, and also in Perl tangerine (Citrus tangerina) were 1.7-4.2, 0.07-0.12, 1.1-2.1, 2.6-4.2, 4.2-5.0, and 0.6-0.9% for N, P, K, Ca, Mg, and 117.1-217.5, 18.1-47.4, 5.2-50.1, 19.6-32.5, and 22.1-74.7.1 mg/kg for Fe, Mn, Zn, Cu, B, respectively. A comparison of the DRIS method with the DOP showed that Iron for Lisbon lemon and Boron for Perl tangerine gardens had the most negative index values. According to the DRIS index, priorities on the macro and micronutrients were determined for Lisbon lemon as Fe > N > B > K >Mn> Ca > Mg = P > Cu > Zn and for Perl tangerine as B > Fe > K > Cu > N > Ca > Mg >Mn> Zn > P. Based on DOP index, priorities on the macro and micronutrients were determined for Lisbon lemon as Fe > K > B > Cu > Mn > Ca > N > P > Mg > Zn and Perl tangerine as B > Zn > Fe > N > Mn > P > K > Mg > Ca > Cu. However, priorities on the nutrients were different in DRIS and DOP methods for both gardens except for the first priority. The efficiency of DRIS and DOP methods of this study compared to previous research on the priority of certain nutrients can be related to plant nutrition management, plant type, and climatic conditions of the study area.
Conclusion: In general, nitrogen and potassium were the most deficient for both gardens, and among the micronutrients Iron and boron had the highest deficiency for both gardens. Overall, nitrogen, potassium, iron, boron, and priority nutrients should be given special attention to their nutrition.

کلیدواژه‌ها [English]

  • Citrus
  • DOP
  • DRIS
  • Nutrients
  • Plant nutrition
Alloway BJ, 2008. Zinc in Soils and Crop Nutrition. 2nd ed., Published by IZA and IFA Brussels, Belgium and Paris, France, 137p.
Beaufils ER, 1973. Diagnosis and Recommendation Integrated System (DRIS). Pietermaritizburg: Soil Science Bulletin, 1, University of Natal.132 p.
Bhargava BS and Chadha KL, 1988. Developing leaf nutrient guide in fruit crops. Fertilizer News 33: 21-29.
Daryashenas A and Rastagar H, 2002. Determination of the nutrient norms for citrus in southern Iran with DRIS approach. Soil and Water Research Institute, Technical Publication No. 1132, Tehran, Iran, 26p. (In Persian)
Dordipour E, Emami P and Daryashenas AM, 2012. Evaluation of nutritional balance in peach orchards through deviation from optimum percentage (DOP) method. Journal of Soil Management and Sustainable Production 2(1): 79-94. (In Persian with English absrtact).
Emami A, 1996. Methods of Plant Analysis. Soil and Water Research Institute, Technical Publication No. 982, Tehran, Iran, 128 p. (In Persian)
Esmaeli M, Golchin A and Doroudi MS, 2000. Determination of the nutrient norms for apple with DRIS method. Iranian Journal of Soil and Water Sciences 12: (8): 22-29. (In Persian with English absrtact).
Goudarzi K and Hosseinifarahi M, 2008. Evaluation of nutritional balance in vineyards of Kohgiluyeh and Boyerahmad Province via DRIS method. Journal of Horticulture Science and Technology 9: 1. 45-58. (In Persian with English absrtact).
Hundal HS, Singh D and Brar JS, 2005. Diagnosis and recommendation integrated system for monitoring nutrient status of mango trees in submountainous area of Punjab, India. Commun. Soil Science and Plant Analysis 36: 2085-2099.
Letzsch WS and Sumner ME, 1984. Effect of population size and yield level in selection of diagnosis and recommendation integrated system (DRIS) norms. Communications in Soil Science Plant Analalysis 15: 997-1006.
Malakouti MJ, 2004. Sustainable Agriculture and Increasing Yield with Optiimizing of Frtilizer Application in Iran. Sana Press, Tehran, Iran. (In Persian)
Martín G, Romero L, Domínguez N, Benito A and García-Escudero E, 2016. Comparison of DOP and DRIS methods for leaf nutritional diagnosis of Vitis Vinifera L., Cv. Tempranillo. Communications in Soil Science and Plant Analysis 47(3): 375-376.
Miran N and Samadi A, 2012. Evaluation of nutritional statues 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):197-206. (In Persian with English absrtact).
Miran N and Samadi A, 2013. Determination and use of DRIS norms for evaluating nutritional status of sugar beet in West-Azerbaijan Province. Water and Soil Science 24 (1): 195-207. (In Persian with English absrtact).
Mirzashahi K, Salimpoor S and Paknejad AR, 2015. Recommendation of fertilization for crops and gardens in northern of Khuzestan province. Soil and Water Research Institute. Iran. (In Persian)
Monge E, Montañés L, Val J and Sanz M, 1995. A comparative study of the DOP and DRIS methods, for evaluating the nutritional status of peach trees. ISHS Acta Horticulturae 383: 191-199.
Montanes L, Heras L, Abadia J and Sanz M, 1993. Plant analysis interpretation based on a new index: deviation from optimum percentage (DOP). Journal of Plant Nutrition 16: 1289-1308.
Mourao Filho FAA, 2004. DRIS: Concepts and applications on nutritional diagnosis in fruit crops. Scientia Agricola 61: 550-560.
Noori O, Taheri M, Tokasi M and Gholiyan A, 2015. Evaluation of Tarom olive orchards nutritional status uing the deviation from optimum percentage Method (DOP). Journal of Soil Management and Sustainable Production 5(1): 79-95. (In Persian with English absrtact).
Samadi A and Majidi A, 2010. Determination of reference numbers of the diagnosis and recommendation (DRIS) and its comparison with the optimal deviation (DOP) method in white grape without grains. Journal of Soil Research 24(2): 89-105. (In Persian with English absrtact).
Sajjadi A, 1996. Nutrients balance levels for sugar beet with DRIS approach. Technical issue No. 984. Soil and Water Research, Institute, Tehran, Iran, 40p. (In Persian)
Savaghebi Gh, Malakouti MJ and Ardalan MM, 2000. Application of deviation from optimum percentage (DOP) to determine the nutritional balance of Wheat. Soil and Water Research Institute, Publication No. 1091, Tehran, Iran, 9 p. (In Persian)
Silveria CP, Nachtigall GR and Monteiro FA, 2005. Norms for the diagnosis and recommendation integrated system for signal grass. Scientia Agricola 62: 513-519.
Sumner ME, 1997. Application of   Beaufils diagnosis indices to corn data published in literature irrespective of age and condition. Plant and Soil 46: 359-363.
Tadaion MS and Rastegar H, 2005. Determination of the nutrient norms for sweet lime trees in Fars province by DRIS. Journal of Iran Horticultural Science and Technology, 6(1): 39-50. (In Persian with English absrtact).
Walworth JL and Sumner ME, 1987. The diagnosis and recommendation integrated system (DRIS). Advances in Soil Science 6: 149-188.