تعیین مدل مناسب در تجزیه و تحلیل خلأ عملکرد برنج (Oryza sativa L.) در استان گیلان با روش آنالیز خط مرزی

بوم شناسی کشاورزی

مقاله 21، دوره 11، شماره 1، تیر 1398، صفحه 321-334   

نوع مقاله: علمی - پژوهشی

شناسه دیجیتال (DOI): 10.22067/jag.v11i1.66914

نویسندگان

نیلوفر آقایی پور¹؛ همت اله پیردشتی^{* 2}؛ محسن زواره³؛ حسین اسدی⁴؛ محمدعلی بهمنیار⁵

¹دانشگاه علوم کشاورزی و منابع طبیعی ساری

²گروه زراعت، پژوهشکده ژنتیک و زیست فناوری طبرستان، دانشگاه علوم کشاورزی ومنابع طبیعی ساری

³دانشگاه گیلان

⁴پردیس کشاورزی و منابع طبیعی دانشگاه تهران

⁵گروه علوم خاک، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری، ایران.

چکیده

یکی از روش­های توانمند در جهت ارزیابی پتانسیل عملکرد و دلایل خلأ عملکرد، آنالیز خط مرزی می­باشد. پژوهش حاضر به­منظور بررسی تعیین عملکرد بهینه و تأثیر احتمالی اجزای وابسته به عملکرد در شالیزارهای برنج (Oryza sativa L.) دشت فومنات استان گیلان (رقم طارم هاشمی) اجرا شد. جهت توصیف رابطه بین عملکرد و اجزای عملکرد از مدل­های دو­تکه­ای، دندان­مانند و درجه دوم استفاده گردید. برای انتخاب مدل برتر از چهار معیار میانگین قدر مطلق خطا، ضریب تبیین، ضرایب رگرسیون خطی ساده و ضریب تغییرات استفاده و پس از انتخاب مدل برتر، خلأ عملکرد، عملکرد بهینه و مقادیر بهینه اجزای عملکرد با استفاده از روش آنالیز خط مرزی محاسبه شدند. در بین مدل­های برازش­یافته، مدل دوتکه­ای برای دو ویژگی تعداد خوشه در متر­مربع و وزن صد دانه دارای کمترین RMSE و ضریب تغییرات بوده و به­خوبی توانسته به توصیف روند تغییرات بپردازد. علاوه براین، تابع دندان­مانند با کمترین RMSE و ضریب تغییرات برای توصیف روند تغییرات ویژگی تعداد دانه پر مورد استفاده قرار گرفت. با توجه به مدل­ها، خلأ عملکرد در دشت فومنات برابر با 63/3 تن در هکتار با میانگین عملکرد بهینه و عملکرد کشاورز به­ترتیب برابر با 44/8 و 81/4 تن در هکتار برآورد شد. همچنین، مقادیر بهینه اجزای عملکرد شامل تعداد خوشه در متر مربع، تعداد دانه پر در خوشه و وزن صد دانه (گرم) به­ترتیب برابر با 560، 9/83-47 و 18/2 به­دست آمد.

کلیدواژه‌ها

تعداد خوشه؛ رگرسیون غیر خطی؛ ضریب تبیین؛ مدل دندان مانند؛ مدل دو تکه ای؛ وزن دانه

مراجع

Adibnia, M., Torabi, B., Rahimi, A., and Azari, A. 2015. Quantifying response of safflower seedling emergence to temperature. Electronic Journal of Crop Production 8: 161-177. (In Persian with English Summary)

Ahmadi, M., Kamkar, B., Soltani, A., and Zeinali, E. 2010. Evaluation of non-linear regression models to predict stem elongation rate of wheat ((Tajan cultivar) in response to temperature and Photoperiod. Electronic Journal of Crop Production 2: 39-54. (In Persian with English Summary)

Ajam Norouzi, H., Soltani, A., Majidi, E., and Homaei, M. 2007. Modelling response of emergence to temperature in faba bean under field condition. Journal of Agricultural Sciences and Natural Resources 14: 100-111. (In Persian with English Summary)

Amiri Deh Ahmadi, S.R., Parsa, M., Bannayan Aval, M., and Nassiri Mahallati, M. 2015. Yield gap analysis of chickpea under semi-arid conditions: A simulation study. Journal of Agroecology 7: 84-98. (In Persian with English Summary)

Banneheka, B.M.S.G., Dhanushika, M.P., Wijesuriya, W., and Herath, K. 2013. A linear programming approach to fitting an upper quadratic boundary line to natural rubber data. Journal of the National Science Foundation of Sri Lanka 41.

Bouman, B.A.M., Peng, S., Castaneda, A.R., and Visperas, R.M. 2005. Yield and water use of irrigated tropical aerobic rice systems. Agricultural Water Management 74: 87-105.

Brancourt-Hulmel, M., Lecomte, C., and Meynard, J.M. 1999. A diagnosis of yield-limiting factors on Probe genotypes for characterizing environments in winter wheat trials. Crop Science 39: 1798-1808.

Casanova, D., Goudriaan, J., Forner, M.M.C., and Withagen, J.C.M. 2002. Rice yield prediction from yield components and limiting factors. European Journal of Agronomy 17: 41-61.

Dore, T., Meynard, J.M., and Sebillotte, M. 1998. The role of grain number, nitrogen nutrition and stem number in limiting pea crop (Pisum sativum) yields under agricultural conditions. European Journal of Agronomy 8: 29-37.

Espe, M.B., Cassman, K.G., Yang, H.W., Guilpart, N., Grassini, P., Van Wart, J., Anders, M., Beighley, D., Harrell, D., Linscombe, S., McKenzie, K., Mutters, R., Wilson, L.T., and Linquist, B.A. 2016. Yield gap analysis of US rice production systems shows opportunities for improvement. Field Crops Research 196: 276-283.

Gharavi Baigi, M., Pirdashti, H., Abbasian, A., and Aghajaniye Mazandarani, G. 2014. Response of yield and yield components of rice (Oryza sativa L. cv. Tarom Hashemi) in rice, duck and Azolla (Azolla sp.) farming. Journal of Agroecology 6: 477-487. (In Persian with English Summary)

Hajarpoor, A., Soltani, A., and Torabi, B. 2015. Using boundary line analysis in yield gap studies: Case study of wheat in Gorgan. Scientific Journal Management System 8: 183-201. (In Persian with English Summary)

Hatami, H., Mohsenabadi, G., Esfahani, M., Amiri Garijani, B., and Aalami, A. 2016. Effect of transplanting time on grain yield and physiological traits in grain filling period in rice cultivars. Journal of Crops Improvement 18: 655-671. (In Persian with English Summary)

Huang, M., Zou, Y.b., Jiang, P., Xia, B., Md, I., and Ao, H.J. 2011. Relationship Between Grain Yield and Yield Components in Super Hybrid Rice. Agricultural Sciences in China 10: 1537-1544.

Inusah, B.I.Y., Dogbe, W., Abdulai, A.L., Yirzagla, J., Mawunya, M., and Issahak, A.S. 2015. Yield gap survey in sudanno-guinea savanna agro-ecological zones of ghana. Sustainable Agriculture Research 4: 127-137.

Kazemi Poshtmassari, H., Pirdashti, H., Bahmanyar, M.A., and Nassiri, M. 2007. Study the effects of nitrogen fertilizer rates and split application on yield and yield components of different rice (Oryza sativa L.) cultivars. Pajouhesh and Sazandegi 75: 68-77. (In Persian with English Summary)

Khalili, N., Kamkar, B., and Khodabakhshi, A.H. 2015. Quantifying and analysis of germination responses of annual savory (Satureja hortensis L.) to temperature and salinity stress. Environmental Stresses in Crop Sciences 8: 83-92. (In Persian with English Summary)

Kundu, S., and Kundagrami, S. 2015. Estimation of path coefficient analysis to identify the yield contributing traits in rice (Oryza sativa L.) under saline and non-saline coastal regions of West Bengal. Journal of Advances in Biology 8: 1433-1438.

Mahdavi, F., Esmaeili, M.A., Fallah, A., and Pirdashti, H. 2006. Study of morphological characteristics, physiological indices, grain yield and its components in rice (Oryza sativa L.) Landraces and Improved Cultivars 27: 280-297. (In Persian with English Summary)

Makowski, D., Dore, T., and Monod, H. 2007. A new method to analyse relationships between yield components with boundary lines. Agronomy for Sustainable Development 27: 119-128.

Meier, U. 1997. Growth stages of mono-and dicotyledonous plants: BBCH-Monograph. Blackwell wissenschafts-verlag, Berlin and Braunschweig.

Milne, A.E., Ferguson, R.B., and Lark, R.M. 2006a. Estimating a boundary line model for a biological response by maximum likelihood. Annals of Applied Biology 149: 223-234.

Mohandass, S., Natarajaratnam, N., and Kailasam, C. 1988. A new hybrid model for panicle growth in rice (Oryza sativa L.). Journal of Agronomy and Crop Science 161: 207-209.

Mojtabaie Zamani, M., Esfahany, M., Honarnejad, R., and Alahgholipour, M. 2007. Relationship between grain filling rate, grain filling duration, yield components and other physiological traits in rice (Oryza sativa L.). Journal of Water and Soil Science 10: 213-225. (In Persian with English Summary)

Mustafavi Rad, M., and Tahmasbi Sarvestani, Z.A.A. 2003. Evaluation of nitrogen fertilizer effects on yield, yield components and dry matter remobilization of three rice genotype. Journal of Agricultural Sciences and Natural Resources 2: 21-31. (In Persian with English Summary)

Nassiri Mahallati, M., and Koocheki, A.R. 2014. Long term evaluation of yield stability trend for cereal crops in Iran. Agroecology 6: 607-621. (In Persian with English Summary)

Nassiri Mahallati, M., Koocheki, A., and Jahani, M. 2016. Estimating Within Field Variability of Wheat Yield Using Spatial Variables: An Approach to Precision Agriculture. Journal of Agroecology 8: 329-345. (In Persian with English Summary)

Nhamo, N., Rodenburg, J., Zenna, N., Makombe, G., and Luzi-Kihupi, A. 2014. Narrowing the rice yield gap in East and Southern Africa: Using and adapting existing technologies. Agricultural Systems 131: 45-55.

Rajeshwari, S., and Nadarajan, N. 2004. Correlation between yield and yield components in rice (Oryza sativa L.). Agricultural Science Digest 24: 280-282.

Sabouri, H., Sabouri, A., and Dadras, A.R. 2012. Modeling the response of germination rate of different rice genotypes to temperature. Cereal Research 2: 123-135. (In Persian with English Summary)

Safae Chaykar, S., Samie zade, H., Esfahani, M., and Rabiei, B. 2009. Correlation of agronomic traits under favorable irrigation and water stress conditions in rice (Oryza sativa L.). Journal of Water and Soil Science 13: 91-105. (In Persian with English Summary)

Selvaraj, C.I., Nagarajan, P., Thiyagarajan, K., Bharathi, M., and Rabindran, R. 2011. Genetic parameters of variability, correlation and path coefficient studies for grain yield and other yield attributes among rice blast disease resistant genotypes of rice (Oryza sativa L.). African Journal of Biotechnology 10: 3322-3334.

Shokri, S., Siadat, S.A., Fathi, G., Abdali Mashhadi, A.R., Gilani, A.A., and Maadi, B. 2012. Evalution of nitrogen fertilizer effects on paddy yield, yield components and dry matter remobilization of three rice genotype. Electronic Journal of Crop Production 3: 73-87. (In Persian with English Summary)

Soltani, A., Hajjarpour, A., and Vadez, V. 2016. Analysis of chickpea yield gap and water-limited potential yield in Iran. Field Crops Research 185: 21-30.

Soltani, A., Hammer, G.L., Torabi, B., Robertson, M.J., and Zeinali, E. 2006a. Modeling chickpea growth and development: Phenological development. Field Crops Research 99: 1-13.

Souroush, H.R., Mesbah, M., and Hossian Zadeh, A.H. 2004. A study of relationship between grain yield and yield components in rice. Iranian Journal of Agricultural Sciences 35: 983-993.

Tarang, A., Hossieni Chaleshtary, M., Tolghilani, A., and Esfahani, M. 2013. Evaluation of grain yield stability of pure lines of rice in Guilan province. Iranian Journal of Crop Sciences 2: 24-34. (In Persian with English Summary)

Xu, X., He, P., Zhao, S., Qiu, S., Johnstond, A.M., and Zhou, W. 2016. Quantification of yield gap and nutrient use efficiency of irrigated rice in China. Field Crops Research 186: 58-65.