تعیین تابع برتر آب – شوری – عوامل کیفی عملکرد ارقام پنبه ورامین و خرداد

نویسندگان

1 استادیار گروه علوم و مهندسی آب، دانشکده کشاورزی، دانشگاه بیرجند

2 دانشیار گروه علوم و مهندسی آب، دانشکده کشاورزی، دانشگاه بیرجند

چکیده

برای تعیین تابع برتر  آب - شوری– عوامل کیفی عملکرد (طول الیاف، یکنواختی الیاف، کشش الیاف، استحکام الیاف، ظرافت الیاف، درصد پروتئین و درصد روغن پنبه دانه) دو رقم پنبه ورامین و خرداد، مطالعه­ی بررسی تاثیر شوری و مقادیر آب آبیاری بر عملکرد و اجزای کمی و کیفی عملکرد در شرایط اقلیمی بیرجند صورت گرفت. برای این کار توابع به شکل­های خطی ساده، کاب داگلاس، درجه دوم و متعالی  مورد استفاده قرار گرفتند. در ابتدا نتایج جداول ضرایب توابع و آماره F نشان دادند که کلیه توابع مندرج در فوق توانسته‌اند برآورد تعیین کننده و معنا‌داری از عوامل طول و یکنواختی الیاف، داشته باشند. سپس بررسی ضرایب تبیین معادلات رگرسیونی رسم شده و آماره t استیودنت بین مقادیر اندازه‌گیری‌شده و پیش‌بینی شده این موارد را تائید کرد. بنابراین در مرحله بعد نسبت به رتبه‌بندی و تعیین تابع برتر در بین آنها اقدام گردید. به این منظور از پنج شاخص آماری ریشه میانگین مربعات خطا، ضریب تبیین،  بازده مدل، خطای بیشینه و ضریب مقدار باقیمانده استفاده شد. نتایج نشان داد که هیچ­ یک از توابع مورد مطالعه نتوانستند برآورد قابل قبولی از عوامل کشش الیاف، استحکام الیاف، ظرافت الیاف، درصد پروتئین و درصد روغن پنبه دانه داشته باشند و به همین دلیل از رتبه‌بندی آن صرف‌نظر شده است. نتایج بدست آمده در مورد هر دو رقم پنبه ورامین و خرداد نشان دادند که برای عوامل طول و یکنواختی الیاف، تابع درجه دوم می­تواند به عنوان تابع برتر در منطقه اقلیمی بیرجند معرفی شود.

کلیدواژه‌ها


عنوان مقاله [English]

Determination of Water-Salt optimal production functions for yield qulitative components of Varamin and Khordad cultivars

نویسندگان [English]

  • M H najafi mood 1
  • A khashei siuki 2
  • A shahidi 2
1 Assist. Prof., Dept. of Water Engin., Faculty of Agric., University. of Birjand, Birjand, Iran
2 Assoc. Prof., Dept. of Water Engin., Faculty of Agric., University of Birjand, Birjand, Iran
چکیده [English]

In order to determine the best water - salt - the quality parameters (fiber length uniformity, fiber, fiber tension, fiber strength, fineness of fiber, protein and oil content of seed cotton) in Varamin and Khordad Cultivars of Cotton research project examines the impact of salinity and water levels irrigation on yield and yield components and quality of two varieties of cotton were conducted in Birjand climate. It forms a simple linear function, Cobb-Douglas, quadratic and transcendental were used. First results tables and statistics functions F coefficients showed that all functions mentioned above and were able to estimate the parameters of the fiber length and uniformity, have. The coefficients of the regression lines are plotted equations and graphs contained in the Student t-statistic regression line between the measured and predicted values ​​confirmed this. So the next step was to rank and identify the best among them. The purpose of the five statistical parameters Root Mean Square Error (RMSE), Coefficient of Determination (CD), modeling efficiency (EF), the maximum error (ME) and coefficient of residual (CRM) was used. The results showed that the parameters of both cultivars Khordad and Varamin cotton fiber length and uniformity, can function as a quadratic function is superior to the other functions in the present climate of Birjand. The results  showed that none of the functions could not reasonably estimate the parameters of the fiber tension, fiber strength, fiber fineness, cotton seed protein and oil content have been ignored and that's why the ratings. Resulte showed that both cultivars of Varamin and Khordad parameters for fiber length uniformity, quadratic function can be expressed as function of the regional climate Birjand superior to other functions will be presented.

کلیدواژه‌ها [English]

  • Cotton
  • Deficit Irrigation
  • Irrigation water salinity
  • Production function
Bennett OL, Erie I J and Makenzie a J, 1967. Boll, Fiber and spinning properties of cotton as     affected by management practices. USDA Tech. Bull.
Datta KK and dayal B, 2000. Irrigation with poor quality water: An empirical study of input use   economic loss and coping strategies. Ind. Journal of Agriculture Economics 55: 26-37.
Doorenbos J and Kassam AH, 1979. Yield response to water. Irrigation and Drainage Paper No.33. FAO. Rome.
Homaee M, Direksen C and Feddes RA, 2002a. Simulation of root and water uptake, I: Non – uniform transient salinity using different macroscopic reduction function.  Agriculture  Water Management 57: 89-109.
Homaee M, Feddes RA and Direksen C, 2002b. Simulation of root and water uptake, II: Non – uniform transient water stress using different macroscopic reduction function. Agriculture Water Management 57: 111-126.
Jensen CR, 1982. Effect of soil water osmotic potential on growth and water relationship of berely during soil water depletion. Irrigation Science 3:111-121.
Kasperbaver MJ, 2000. Cotton fiber length is affected by far-red light Tim pinging on developing bolls. Crop Science  40: 1673-1678.
Kiani AR and Abbasi F, 2009. Assessment of the water-salinity crop production function of wheat using experimental data of the goleatan province, Iran. Irrigation and Drainage 58: 445-455
Kipkorir KK, Reas D and Massawe B, 20002. Seasonal water production functions and yield response factors for maze and onion in perkerra. Kenya. Agriculture Water Manage 56:229-240.
Khajehpour, M. R, 2006. Industrial plants. Publishing Jihad university of Isfahan of Technology University.
Li J, Inanaga S, Li Z and Eneji E, 2005. Optimizing irrigation scheduling for winter wheat in the   North China Plain. Agriculture Water Management 76:8-23.
Marani A and Amirav A, 1971. Effects of soil moisture stress on two varieties of upland cotton in Israel. Coastal plain region, Exe. Agriculture 7: 213-224.
Mauney GJR,1981. Irrigation scheduling and plant population effects on growght, bloom   rates, boll abcesion and yield of cotton. Agronomy Journal 73-100.
Meiri A and Shalhevet J, 1973. Pepper plant response to irrigation water quality and timing and   leaching, Ecological studies. pp. 421-429. VOL IV. Springer – Verlag.
Mohajer Abbasi, A., 2003. Physical Properties of Cotton Fiber. Seed and Plant Improvement Center of Varamin.
Nasiri, R. 2005. Step by Step Training SAS. Publications of Nazar Gostar Cultural Center. Tehran. 294 pages.
Russo D and Bakker D.1986.Crop water production functions for sweet corn and cotton irrigated   with salin waters. Soil Science Society American Journal.51:1554-1562.
Sepaskhah AR and Akbari D, 2005. Deficit Irrigation Planing under Variable Seasonal Rainfall.  Published by Elsevier Ltd. Biosystems Engineering 92(1): 97-106.
Sepaskhah AR and Boresma L, 1979.Shoot and root growth exposed to several levels of matric   potential and NACL induced osmotic potential of soil water. Agronomy Journal 71:746-7512.
Silvertooth JC,1998. Cotton management for optimum fiber quality and yield .www. Agriculture. Arizona. Education/ Crops/ Cotton. Visited   2007/06/07.
Shahidi A., 2008. Effect of irrigation and salinity interactions on yield and yield components of wheat cultivars by determining water and salinity production function in Birjand region. Ph.D., Faculty of Agriculture, Shahid Chamran University of Ahvaz.
Solomon K, 1985.Typical cropwater production functions. Agricultural Engineers 85:25-96.
Tanji KK, 1990. Agriculture Salinity Assessment and Management. American   Society of Civil Engineers. New Yourk. USA.
Verdinezhad V Sohrabi, T., Heidari, N., Araghizadeh, SHand Feizi M, 2009. Determine the optimum depth of irrigation of crops under saline conditions using the SWAP model. Water and Soil Journal, Vol. 24, No. 3. Pages 463-475.
Zolfagharan, A and Shahbazi H, 2007. Estimation of sugar beet yield in different amounts of water and salinity. Proceedings of the Ninth Seminar on Irrigation and Evaporation Reduction. 16-18 February 2007.  ,Kerman Shahid Bahonar University.
Zolfagharan, A. 2007The effect of irrigation water on wheat yield in different salinity of water in sprinkler irrigation. Proceedings of the Ninth Seminar on Irrigation and Evaporation Reduction. 16-18 February 2007.  ,Kerman Shahid Bahonar University.