ارزیابی عملکرد ریشه و شاخص‌های رشدی چغندرقند تحت کشت نشائی و مستقیم در مناطق نیمه خشک و سرد

نوع مقاله : کامل علمی - پژوهشی

نویسندگان

1 استادیار، گروه کشاورزی، دانشگاه پیام نور، تهران، ایران

2 دانشیار، گروه مهندسی تولید و ژنتیک گیاهی، دانشکده کشاورزی، دانشگاه لرستان، خرم آباد، ایران

10.22092/jsb.2026.371597.1402

چکیده

این پژوهش با هدف بررسی اثر دو روش کاشت نشائی (در سنین ۳۵ و ۴۵ روزه) و کشت مستقیم بر شاخص‌های رشدی و عملکرد ریشه چغندرقند در سه منطقه‌ی نیمه‌خشک و سرد اردبیل، تبریز و ارومیه با انجام شبیه‌سازی رشد با استفاده از مدل SUCROS و بر پایه‌ی داده‌های بلندمدت اقلیمی (1358 تا 1398) و ویژگی‌های فیزیکی-آبی خاک صورت گرفت. شاخص‌های TDW، LAI، RGR و CGR با مدل‌های تابعی رشد استخراج و برای مقایسه سیستم‌های کاشت تحلیل شدند. نتایج نشان داد کشت نشائی استقرار اولیه گیاه را به‌طور محسوسی بهبود داد. مقدار LAI در تیمارهای نشاکاری در حدود ۱۲۰ روز پس از کاشت به 4/7 در اردبیل، 6/6 در تبریز و 05/7 در ارومیه رسید در حالی‌که این مقدار در کشت مستقیم به‌ترتیب حدود 6/1، 3/3 و 8/3 بود. CGR در تیمار نشاکاری ۴۵ روزه در بیشترین مقدار خود به 2/19 گرم بر مترمربع در روز در اردبیل، ۲۱ گرم بر مترمربع در تبریز و 3/22 گرم بر مترمربع در ارومیه رسید. در مقابل، RGR به‌طور طبیعی در تیمارهای نشاکاری کمتر بود، که ناشی از وزن خشک اولیه بالاتر و هزینه‌ی تنفسی بیشتر نشا است، با این‌حال این کاهش مانع برتری نهایی نشاکاری در تجمع ماده خشک نشد. تجمع ماده خشک کل (TDW) نیز در نشاکاری ۴۵ روزه بیشتر بود؛ به‌طوری‌که در روز ۱۷۰ مقدار TDW در اردبیل به ۱۹۰۲ گرم بر مترمربع، در تبریز به ۲۰۰۱ گرم بر مترمربع و در ارومیه به حدود ۲۴۷۱ گرم بر مترمربع رسید، در حالی‌که این مقدار در کشت مستقیم به‌مراتب پایین‌تر بود. عملکرد ریشه نیز الگوی مشابهی داشت: بیشترین عملکرد ریشه (حدود 108 تن در هکتار) در نشاکاری ۴۵ روزه ارومیه و کمترین مقدار (حدود ۶۸ تن در هکتار) در کشت مستقیم تبریز مشاهده شد. در مجموع، نتایج نشان می‌دهد نشاکاری می‌تواند راهبردی مؤثر برای بهبود شاخص‌های رشد و دستیابی به عملکرد ریشه بالاتر چغندرقند در مناطق سرد و نیمه‌خشک باشد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Evaluating root yield and growth indices of sugar beet under transplanting and direct sowing in cold semi-arid regions

نویسندگان [English]

  • Abdolmajid Soheilnejad 1
  • Sajjad Rahimi-Moghaddam 2
1 Assistant Prof, Department of Agriculture, Faculty of Agriculture, Payame Noor University, Tehran, Iran
2 Associate.Department of Plant Production and Genetics Engineering, Faculty of Agriculture, Lorestan University, Khorramabad, Iran
چکیده [English]

Introduction
Sugar beet (Beta vulgaris L.) is one of the most important field crops worldwide and in Iran, playing a crucial role not only in sugar production but also in maintaining sustainable crop rotations and improving soil properties. In recent decades, increasing water scarcity and climate change have intensified the need for improving crop management strategies in sugar beet cultivation systems. One of the promising agronomic approaches to improve crop establishment, shorten the time required to achieve full canopy cover, and enhance water productivity is transplanting instead of direct-seeded. From a physiological perspective, growth analysis is a powerful tool for studying biomass accumulation and plant development dynamics during the growing season. Growth indices such as total dry weight (TDW) and leaf area index (LAI) are widely used indicators for evaluating crop growth and physiological status. Therefore, the objective of the present study was to evaluate root yield and growth indices of sugar beet under transplanting and direct-seeded systems in three cold semi‑arid regions of Iran.
 
Materials and Methods
The current research aimed to evaluate the effects of two transplanting ages (35 and 45 days) and direct-seeded sowing on growth indices and root yield of sugar beet across three cold semi-arid regions: Ardebil, Tabriz, and Urmia. Crop growth was simulated using the SUCROS model based on long-term climatic data (1980-2020) and soil physical-hydrological characteristics. Growth indices including TDW, LAI, RGR, and CGR were derived using functional growth models and compared across planting systems. To determine the initial physiological conditions of seedlings, the model was first run independently under potential growth conditions to estimate the initial dry weight of different plant organs (leaf blades, petioles, roots, and storage organs) as well as initial LAI values. These simulated values were then used as initial parameters in the main model runs. For comparison, direct-seeded was also simulated as the conventional planting method. All three planting systems (direct-seeded, 35‑day transplanting, and 45‑day transplanting) were simulated using the common planting dates of each region. Irrigation scheduling was applied when soil moisture declined to approximately 70% of field capacity according to FAO irrigation management recommendations. Other agronomic parameters such as plant density and row spacing were kept constant across all simulations. To analyze growth indices, TDW and LAI were recorded throughout the growing season. The logarithm of TDW was fitted using a third‑order polynomial model, from which RGR was calculated as the derivative of ln (TDW). CGR was then calculated as the product of RGR and TDW. LAI dynamics were described using a logistic sigmoid model. Model fitting was performed using least‑squares regression in the R software environment. Root yield was analyzed as a long‑term time series for each location and planting system. Linear regression was applied to evaluate annual trends in root yield and to determine statistical significance of changes over time.
Results
Transplanting markedly improved early crop establishment. In transplant treatments, LAI peaked around 120 days after planting at 7.4 in Ardebil, 6.6 in Tabriz, and 7.05 in Urmia, whereas corresponding values under direct-seeded sowing were approximately 6.1, 3.3, and 3.8, respectively. Maximum CGR in the 45-day transplanting treatment reached 19.2 g m-2 day-1 in Ardebil, 21 g m-2 day-1 in Tabriz, and 22.3 g m-2 day-1 in Urmia. In contrast, RGR was naturally lower in transplant treatments due to higher initial dry weight and elevated respiratory costs; nevertheless, this reduction did not hinder the superior final dry matter accumulation of transplants. TDW was also higher under 45-day transplanting, reaching 1902 g m-2 in Ardabil, 2001 g m-2 in Tabriz, and about 2471 g m-2 in Urmia by day 170, all substantially exceeding the values under direct sowing. Root yield followed the same trend: the highest root yield (108 t ha-1) occurred in the 45-day transplanting treatment in Urmia, whereas the lowest (68 t ha-1) was observed under direct sowing in Tabriz. The long‑term trend analysis showed that annual yield fluctuations in Ardebil were not statistically significant (p> 0.14), with a maximum annual slope of 0.15 t ha-1. In contrast, all cropping systems in Tabriz and Urmia exhibited significantly declining yield trends (p< 0.001). The estimated annual rate of decline ranged from 0.20 to 0.27 t ha-1 in Tabriz and approximately 0.55 to 0.60 t ha-1 in Urmia. These findings are consistent with previous studies indicating that transplanting improves canopy development, radiation interception, and biomass accumulation in sugar beet and other crops. Similarly, it was reported that transplanting 35–40‑day‑old seedlings resulted in the highest root yields in sugar beet production systems. Furthermore, transplanting has been shown to improve water productivity and reduce irrigation requirements compared with direct.
Conclusion
Overall, the results of this study demonstrate that transplanting provides clear advantages for sugar beet growth and productivity in cold semi‑arid regions. Transplanted plants exhibited earlier canopy development, higher LAI, greater crop growth rate, and increased total dry matter accumulation compared with direct-seeded. Although relative growth rate was slightly lower in transplanted plants due to higher initial biomass, this did not negatively affect final root yield. Among the studied regions, Urmia showed the highest yield potential due to more favorable climatic conditions, whereas Tabriz showed lower productivity. Overall, transplanting 35–45‑day‑old seedlings increased root yield by approximately 8–11% compared with direct-seeded. Therefore, transplanting can be considered an effective agronomic strategy for improving sugar beet establishment, growth performance, and yield stability, particularly in environments where early‑season conditions limit successful crop establishment. Future studies should evaluate transplanting performance under a wider range of climatic conditions to further improve sugar beet production systems.

کلیدواژه‌ها [English]

  • Crop growth rate
  • Leaf area index
  • Relative growth rate
  • SUCROS model
Allen RG, Pereira LS, Raes D, Smith M. Crop evapotranspiration-Guidelines for computing crop water requirements-FAO. Irrigation and drainage paper 56. 1998; FAO, Rome, 300(9), p.D05109.
Ben-Gal A, Shani U. Yield, transpiration and growth of tomatoes under combined excess boron and salinity stress. Plant and Soil. 2002; 247(2): 211-221. Doi: https://doi.org/10.1023/A:1021556808595
Cheshmi M, Khajeh‐Hosseini M, Gheshm R, Asadi S. Improving sugar beet yield, quality, and water use efficiency by nursery and transplanting practice under semi‐arid conditions. Agronomy Journal. 2023; 115(2): 781-800. Doi: https://doi.org/10.1002/agj2.21282
Deihimfard R, Rahimi-Moghaddam S, Chenu K. Risk assessment of frost damage to sugar beet simulated under cold and semi-arid environments. International Journal of Biometeorology. 2019; 63 (4): 511–521.  Doi: https://doi.org/10.1007/s00484-019-01682-5.
Deihimfard R, Rahimi-Moghaddam S, Goudriaan J, Damghani AM, Noori O, Nazari S. Can optimizing the transplant of sugar beet by age and date enhance water productivity in arid and semi-arid climates?. Field Crops Research. 2021; 271. Doi: https://doi.org/10.1016/j.fcr.2021.108266
Evans GC. The quantitative analysis of plant growth. Blackwell Scientific Publications, Oxford. 1972.
Goudriaan J, Van Laar HH. Modelling potential crop growth processes: textbook with exercises, Springer – Science+ Business Media, B.V. 1994.
Guo C, Yang C, Fu J, Song Y, Chen S, Li H, Ma C. Effects of crop rotation on sugar beet growth through improving soil physicochemical properties and microbiome. Industrial Crops and Products. 2024; 212. Doi: https://doi.org/10.1016/j.indcrop.2024.118331
Hunt R. Basic growth analysis: plant growth analysis for beginners, Springer Science and Business Media, Dordrecht, 2012; pp. 112. Doi: https://doi.org/10.1007/978-94-010-9117-6
Ivanina V, Shapovalenko R, Strilets O, Senchuk S. Sugar beet fertilisation for sustainable yield under climate change conditions. Zemdirbyste-Agriculture. 2021;108(4): 355-362. Doi: https://doi.org/10.13080/z-a.2021.108.045
Khaembah EN, Nelson, WR. Transplanting as a means to enhance crop security of fodder beet. BioRxiv. 2016; Doi: https://doi.org/10.1101/056408
Khozaei M, Haghighi AAK, Parsa SZ, Sepaskhah AR, Razzaghi F, Yousefabadi VA, Emam Y. Evaluation of direct seeding and transplanting in sugar beet for water productivity, yield and quality under different irrigation regimes and planting densities. Agricultural Water Management. 2020; 238. Doi: https://doi.org/10.1016/j.agwat.2020.106230
Leskovar DI, Othman YA. Direct Seeding and transplanting influence root dynamics, morpho-physiology, yield, and head quality of globe artichoke. Plants. 2021; 10(5): 899. Doi: https://doi.org/10.3390/plants10050899
Mansouri H, Hassani M, Hamze H, Jafari AM, Yosefabadi VA, Chaharmahali M. Comparing the quantitative, qualitative and economic yield of sugar beet planting by root transplanting method with direct seeding in Hamedan region. Journal of Sugar Beet. 2021; 37(1): 49-60. (in Persian with English abstract) Doi: https://doi.org/10.22092/JSB.2022.353748.1268
Mirzaei MR, Abdollahian-Noghabi M. Study of sugar beet growth pattern in Hamedan, Iran. Journal of Sugar Beet. 2012; 27(2): 1-9. (in Persian with English abstract). Doi: https://doi.org/10.22092/jsb.2012.662
Mohammadi-Ahmadmahmoudi E, Deihimfard R, Noori O. Yield gap analysis simulated for sugar beet-growing areas in water-limited environments. European Journal of Agronomy. 2020; 113.  Doi: https://doi.org/10.1016/j.eja.2019.125988.
Moursy MAM, El-Kady MS. Study planting methods to improve water use efficiency and productivity of sugar beet in a newly reclaimed area. Life Science Journal. 2019; 16(12): 11–19. Doi: https://doi.org/10.7537/marslsj161219.02.
Pahlavianian Miandoab S, Dadashi M, Mir Mahmoudi T, Shahrooghbi A, Adjam Norouzi H. Investigating the effect of date and planting method (transplanting and direct-seeding) on quantitative and qualitative traits of sugar beet (Beta vulgaris L.). Journal of Crop Ecophysiology. 2022; 15(60): 575-592. (in Persian) Doi: https://doi.org/10.30495/jcep.2022.689807
Peel MC, Finlayson BL, McMahon TA. Updated world map of the Köppen-Geiger climate classification. Hydrology and Earth System Sciences. 2007; 11(5): 1633-1644. Doi: https://doi.org/10.5194/hess-11-1633-2007
Poojitha K, Pravalika KM, Theerthana T, Prashanth DV. Transplanted v/s direct-seeded method of rice: A Review. Journal of Experimental Agriculture International. 2024; 46(5): 681-685. Doi: https://doi.org/10.9734/jeai/2024/v46i52422
Radford PJ. Growth analysis formulae‐their use and abuse. Crop Science. 1967; 7(3): 171-175. Doi: https://doi.org/10.2135/cropsci1967.0011183X000700030001x
Rezazadeh S, Ilkaee M, Aghayari F, Paknejad F, Rezaee M. Growth, yield, nutrients uptake and anatomical properties of direct seeding and transplanting maize (Zea mays L.) plants under arbuscular mycorrhizal fungi and water stress. Journal of Biological Research. 2021; 94(1). Doi: https://doi.org/10.4081/jbr.2021.8883
Spitters CJT, Van Keulen H, Van Kraalingen DWG. A simple and universal crop growth simulator: SUCROS87.pp. 147-181. In: Rabbinge R, Ward SA, Van Laar HH. (Eds.), Simulation and Systems Management in Crop Protection. Simulation Monograph 32. Center Agricultural Pub and Document, Wageningen. 1989.
Tsialtas JT, Maslaris N. Leaf area estimation in a sugar beet cultivar by linear models. Photosynthetica. 2005; 43(3): 477-479. Doi: https://doi.org/10.1007/s11099-005-0077-z
Van Laar HH, Goudriaan J, Van Keulen H. SUCROS97: Simulation of crop growth for potential and water-limited Production Situations. as applied to spring wheat. CABO-DLO, Wageningen. 1997.
Zhu X, Han B, Song B, Yang J. Effect of extending seedling-raising period on yield of transplanting sugar beet (Beta vulgaris) in black soil area of Northeast China. Sugar Tech. 2020; 22 (6): 1103–1109.  Doi: https://doi.org/10.1007/s12355-020-00862-7.