پژوهش‌های حبوبات ایران

پژوهش‌های حبوبات ایران

عملکرد نسبی، شاخص پایداری و مزیت نسبی کشت لوبیا (Phaseolus vulgaris L.) در ایران

نوع مقاله : مقاله پژوهشی

نویسندگان
بخش تحقیقات علوم زراعی و باغی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان اصفهان، سازمان تحقیقات، آموزش و ترویج کشاورزی، اصفهان، ایران
چکیده
پژوهش حاضر با استفاده از آمار 10 ساله (1390-1389) تا (1400-1399) تولید لوبیا (Phaseolus vulgaris L.) در استان‌های مختلف کشور انجام شد. عملکرد، عملکرد نسبی، شاخص پایداری و مزیت نسبی مواردی بودند که در این پژوهش مورد ارزیابی قرار گرفتند. دامنه عملکرد دانه لوبیا از 940 کیلوگرم در هکتار در خراسان جنوبی تا 2816 کیلوگرم در هکتار در زنجان در نوسان بود. 58 درصد از 31 استان تولیدکننده لوبیا، عملکرد کمتر از دو تن در هکتار داشتند. از نظر شاخص عملکرد نسبی لوبیا، استان‌های کشور به سه گروه تقسیم شدند که فقط 4/48 درصد از استان‌ها عملکرد نسبی بیش از 100 داشتند. استان‌هایی مانند فارس، زنجان، چهارمحال و بختیاری، اصفهان و مرکزی عملکردهای لوبیای بیش از دو تن در هکتار داشته و در عین حال شاخص پایداری عملکرد در آن‌ها نیز بیش از 7/0 بود. از دید مزیت نسبی سطح، صرفاً پنج استان دارای مزیت نسبی بودند و در این استان‌ها سطح قابل‌ توجهی به کشت لوبیا اختصاص داده شده است. مزیت نسبی عملکرد در نُه استان (چهارمحال و بختیاری، زنجان، خراسان شمالی، فارس، قم، کردستان، گلستان، لرستان و مرکزی) بیش از یک و در سه استان (کهگیلویه و بویر احمد، گیلان و مازندران) بیش از دو بود. مزیت نسبی تجمعی کشت لوبیا در کشور نشان داد که استان‌های آذربایجان شرقی، چهارمحال و بختیاری، زنجان، فارس، کهگیلویه و بویر احمد، لرستان و مرکزی دارای مزیت نسبی تجمعی برای کشت لوبیا بودند. با توجه به نتایج پیشنهاد می‌شود که سیاست‌گذاری‌ها برای تولید لوبیا در کشور با توجه به شاخص‌های مشابه این پژوهش انجام گردد.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Relative Yield, Sustainability Index and Comparative Advantage of Common bean (Phaseolus vulgaris L.) Cultivation in Iran

نویسندگان English

Amir Hooshang Jalali
Foroud Salehi
Horticulture Crops Research Department, Isfahan Agricultural and Natural Resources Research and Education Center, AREEO, Isfahan, Iran
چکیده English

Introduction
The concept of sustainability is mainly used as a measure of the temporal or spatial invariance of specific characteristics. Therefore, sustainability can be expressed as the stability of agricultural outputs, especially yield, over long periods of time or in different spatial environments. The idea of ​​applying sustainability analysis methods to cropping systems is not new, however, it does not seem to have been addressed as it deserves. Yield sustainability analyses have gained more importance in recent years, as the increase in climate variability caused by climate change is also associated with a decrease in crop yield sustainability. For example, among the eight crops studied, beans (Phaseolus vulgaris L.) have shown the greatest sensitivity to temperature increase scenarios caused by climate change. Some studies have shown that yield instability in legumes is 30% higher than in spring and autumn cereals. There are two dominant approaches to the comparative advantage index. The first approach is based on the costs and benefits of products, and the second approach is based on the performance and production of products. The first approach often includes economic and monetary aspects, and the second approach includes technical aspects of production. For example, in a study evaluating crop production, watermelon, cucumber, potato, onion, tomato, and rainfed wheat were found to be efficient in terms of production performance and to have a comparative advantage. In contrast, irrigated wheat, irrigated barley, grain corn, long-grain rice, and short-grain rice did not demonstrate a comparative advantage in production compared with the national level.

Materials and Methods
Official statistics from the Ministry of Agricultural Jihad were used to obtain bean yields from (2010-2011) to (2020-2021) and were the source of information necessary for this research. Yield, relative yield, yield sustainability index, and cumulative comparative advantage were among the items measured in this study. Provincial data were tested using a randomized complete block design with 10 replications (years) and compared means using Duncan's range test. Although changes in genotypes, crop management, economic factors, and weed and pest control vary from year to year, the principle of yield stability calculations does not distort the results, but to reduce these effects, the number of base years was only 10 years. The minimum number of years to measure yield stability indices is 4 years. Usually, there are two opinions on dealing with outliers in yield stability studies: one is that these data should be eliminated, and some believe that these data should be retained because they reflect biotic and abiotic stresses in the studies. In the present study, there were no outliers due to the limited number of years of evaluation, and therefore all data were retained for the provinces.

Results and Discussion
Yield, relative yield, sustainability index, and comparative advantage were the factors evaluated in this study. The yield range of bean seeds fluctuated from 940 kg ha-1 in South Khorasan to 2816 kg.ha-1 in Zanjan. 58 percent of the 31 bean-producing provinces had a yield of less than 2 tons ha-1. In terms of relative bean yield index, the provinces of the country are divided into three groups, with only 48.4 percent of the provinces having a relative yield of more than 100. Provinces such as Fars, Zanjan, Chaharmahal and Bakhtiari, Isfahan, and Markazi had bean yields of more than 2 t.ha-1, and at the same time, the yield sustainability index in them was more than 0.7. In terms of relative advantage in area, only 5 provinces had a comparative advantage, and in these provinces a significant level of cultivation was devoted to bean crops. The relative yield advantage was more than 1 in 9 provinces and more than 2 in 3 provinces. The cumulative comparative advantage of bean cultivation in the country showed that the provinces of East Azerbaijan, Chaharmahal and Bakhtiari, Zanjan, Fars, Kohgiluye and Boyer Ahmad, Lorestan and Markazi have cumulative comparative advantage for bean cultivation. According to the results obtained, it is suggested that policies for bean production in the country be made according to similar indicators of this research.

Conclusions
Ensuring a promising future for crop production depends on an accurate analysis of past production trends. Monitoring yield, relative yield, yield stability, and the comparative advantage of production are among the tools used to analyze the historical performance of crops. Over a decade of bean cultivation in the country, bean seed yield across the 31 bean-producing provinces ranged from 940 kg ha⁻¹ in South Khorasan to 2,816 kg ha⁻¹ in Zanjan. However, 58% of the producing provinces still had yields below 2 t ha⁻¹. The relative yield of beans exceeded 100 in 15 provinces. In terms of yield stability, only 16% of the bean-producing provinces both achieved yields above 2 t ha⁻¹ and maintained these yields over time, indicating substantial yield fluctuations in most producing provinces. In terms of relative advantage, only 5 provinces had a comparative advantage, and in these provinces a significant level of cultivation has been devoted to the bean crop. The relative advantage of yield in 9 provinces was more than 1 and in 3 provinces more than 2. If both the level and yield are the basis of the relative advantage (cumulative relative advantage), the provinces of East Azerbaijan, Chaharmahal and Bakhtiari, Zanjan, Fars, Kohgiluye and Boyer Ahmad, Lorestan and Markazi have such an advantage for bean cultivation. According to the results, the strengths and weaknesses of bean production in each province are specific to that province and can be traced through the indicators presented in this article.

کلیدواژه‌ها English

Area
Cumulative comparative advantage
Pulses

Authors retain the copyright. This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0)

Bacsi, Z., & Hollósy, Z. (2019). The yield stability index reloaded–the assessment of the stability of crop production technology. Agriculturae Conspectus Scientificus, 84(4), 319-331. https://hrcak.srce.hr/228921
Calderini, D. F., & Slafer, G. A. )1998(. Changes in yield and yield stability in wheat during the 20th century. Field Crops Research, 57(3), 335-347. https://doi.org/10.1016/S0378-4290(98)00080-X
Dianatmanesh, M., Kazemeini, S. A., Bahrani, M. J., Shakeri, E., Alinia, M., Amjad, S. F., Mansoora, N., Poczai, P., Lalarukh, I., Abbas, M. H., & Abdelhafez, A. A. (2022). Yield and yield components of common bean as influenced by wheat residue and nitrogen rates under water deficit conditions. Environmental Technology & Innovation, 28, 102549. https://doi.org/10.1016/j.eti.2022.102549
Einolahi, M., & Kalaei, A. (2011). Studying the comparative advantage of bean production in Markazi Province. Journal of Agricultural Research, 92, 63-72. (In Persian).
FAO. (2026). FAOSTAT, Crops and livestock products. https://www.fao.org/faostat/en/#data
Ferrero, R., Lima, M., & Gonzalez-Andujar, J. L. (2018). Crop production structure and stability under climate change in South America. Annals of Applied Biology, 172(1), 65-73. https://doi.org/10.1111/aab.12402
Fischer, R. A. (2015). Definitions and determination of crop yield, yield gaps, and of rates of change. Field Crops Research, 182, 9-18. https://doi.org/10.1016/j.fcr.2014.12.006
Jalali, A. H., Daneshian, J., Hassanpanah, D., Darabi, A., & Salehi, F. (2026). The potentials and challenges of producing potatoes, onions, tomatoes, and irrigated pulses in the national's cropping pattern program. Seed and Plant Improvement Research Institute (SPII). Final Research Report, 152 pp. (In Persian).
Jamini, D., Vafaie, F., & Dehghani, A. (2026). Identifying the poles of production of high consumption strategic agricultural products in Iran. Consumer Behavior Studies Journal, 12(3), 1-22. (In Persian).
Ligarreto–Moreno, G., & Pimentel–Ladino, C. (2022). Grain yield and genotype x environment interaction in bean cultivars with different growth habits. Plant Production Science, 25(2), 232-241. https://doi.org/10.1080/1343943X.2021.1981141
Macholdt, J., Styczen, M. E., Macdonald, A., Piepho, H. P., & Honermeier, B. (2020). Long-term analysis from a cropping system perspective: yield stability, environmental adaptability, and production risk of winter barley. European Journal of Agronomy, 117, 126056. https://doi.org/10.1016/j.eja.2020.126056
Moemeni, S., & Zibaei, M. (2013). Potential impacts of climate change on agriculture in Fars province. Journal of Agricultural Economics and Development, 27, 169-179. https://doi.org/10.22067/jead2.v0i0.29418
Mostafavi, M. J., Hooshmand, M., & Nassiri Mahallati, M. (2020). Evaluation of the long-term trend and yield stability of pulse crops in Iran. Iranian Journal of Pulses Research, 11, 196-214. https://doi.org/10.22067/ijpr.v12i1.77599
Otung, I. A., & Akpaeti, A. J. )2016.( Identification of efficient cropping zones for cassava production in Nigeria. Journal of Agriculture and Ecology Research International, 8(2), 1-7. https://doi.org/10.9734/JAERI/2016/26821
Pal, S., & Sahu, P. K. (2008). On assessment of sustainability of crops and cropping system—some new measures. Journal of sustainable agriculture, 31(3), 43-54. https://doi.org/10.1300/J064v31n03_05
Piepho, H. P. (1998). Methods for comparing the yield stability of cropping systems. Journal of Agronomy and Crop Science, 180(4), 193-213. https://doi.org/10.1111/j.1439-037X.1998.tb00526.x
Rahmani, R. (2006). Studying the comparative advantage of agricultural products in Khuzestan province. Journal of Economics and Agricultural Development, 2, 141-150. (In Persian).
Rahmati, M., Pahlevani, R., & Rashno, Z. (2019). Evaluation and determination of the comparative advantage of legumes in Lorestan province. Dryland Legumes Extension Journal, 2(1), 41-51. (In Persian).
Reckling, M., Ahrends, H., Chen, T. W., Eugster, W., Hadasch, S., Knapp, S., Laidig, F., Linstädter, A., Macholdt, J., Piepho, H. P., & Schiffers, K. (2021) Methods of yield stability analysis in long-term field experiments. A review. Agronomy for Sustainable Development, 41(2), 27. https://doi.org/10.1007/s13593-021-00681-4
Saeidifar, A. (2013). Determining the comparative advantage of agricultural and horticultural products in the country's provinces. Economic Journal, 13, 47-64.
Shahnoushi Froshani, N., Ghrbani, M., Dehghanian, S., & Azarinfar, Y. (2007). Comparative advantage analysis of cereals and legumes in Khorasan province. Journal of Agricultural Sciences and Natural Resources, 4, 19-1. (In Persian).
Sinclair, T. R., & Vadez, V. (2012). The future of grain legumes in cropping systems. Crop & Pasture Science, 63(6), 501-512. https://doi.org/10.1071/CP12128
Taheri, M., Rezaverdinejad, V., Behmanesh, J., Abbasi, F., & Baghani, J. (2020). Spatial analysis of water productivity index at major wheat production centers of Iran. Journal of Water Research in Agriculture, 34(2), 217-227. (In Persian). https://doi.org/10.22092/jwra.2020.122259
Taylor, S. L., Payton, M. E., & Raun, W. R. )1999(. Relationship between mean yield, coefficient of variation, mean square error, and plot size in wheat field experiments. Communications in Soil Science and Plant Analysis, 30(9-10), 1439-1447. https://doi.org/10.1080/00103629909370298
Urruty, N., Tailliez-Lefebvre, D., & Huyghe, C. (2016). Stability, robustness, vulnerability, and resilience of agricultural systems. A review. Agronomy for Sustainable Development, 36(1), 15. https://doi.org/10.1007/s13593-015-0347-5
Wang, Y., Xu, S., Li, G., & Wang, S. (2020). August. Study on comparison of the advantages of different soybean producing areas in China from a temporal and spatial perspective. In Journal of Physics: Conference Series, 1592(1), 012073). IOP Publishing.
Wanjari, R. H., Singh, M. V., & Ghosh, P. K. (2004). Sustainable yield index: An approach to evaluate the sustainability of long-term intensive cropping systems in India. Journal of Sustainable Agriculture, 24(4), 39-56. https://doi.org/10.1300/J064v24n04_05
Yang, Z., Yu, M., & Lovell, A. (2019). Economics of comparative advantage: Evidence from upland cotton production in Texas in 1997-2016. Texas Journal of Agriculture and Natural Resources, 32, 1-11.
Zhang, L., Yuan, J., Zhang, M., Zhang, Y., Wang, L., & Li, J. (2022). Long term effects of crop rotation and fertilization on crop yield stability in southeast China. Scientific Reports, 12(1), 14234. https://doi.org/10.1038/s41598-022-17675-1
Zhong, F., Xu, Z., & Fu, L. (2001). Regional Comparative Advantage in China's Main Grain Crops. Australian National University. 19 pp. https://openresearch-repository.anu.edu.au/items/767346dc-6c50-4a0e-8445-881f6168dfa6
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