تجزیه و تحلیل رشد ارقام باقلا (Vicia faba L.) با استفاده از مدل رگرسیون غیرخطی لجستیک با انجام سرزنی

نوع مقاله: علمی پژوهشی

نویسندگان

1 دانشکده کشاورزی و منابع طبیعی دانشگاه گنبد کاووس، گنبد کاووس، ایران

2 استادیار گروه تولیدات گیاهی، اعضای هیأت علمی دانشکده کشاورزی و منابع طبیعی دانشگاه گنبد کاووس

3 گروه تولیدات گیاهی، دانشکده کشاورزی و منابع طبیعی دانشگاه گنبد کاووس، گنبد کاووس، ایران

چکیده

آنالیز رشد روش با ارزشی در بررسی کمّی رشد و نمو و تولید محصولات به‏شمار می‏رود. با توجه به این‎که پارامترهای مدل‏های رگرسیونی غیر‏خطی از لحاظ فیزیولوژیکی پرمعنا می‏باشند، بنابراین، به‎منظور بررسی تأثیر سرزنی و رقم بر روی شاخص‎های رشد با استفاده از مدل رگرسیون غیر‏خطی لجستیک، آزمایشی به­صورت فاکتوریل در قالب طرح‎ بلوک‎‎های کامل تصادفی در فصل زراعی 94-1393 در مزرعه آموزشی و پژوهشی دانشگاه گنبد کاووس با سه تکرار اجرا گردید. عامل سرزنی در دو سطح شامل سرزنی و عدم سرزنی و عامل رقم در پنج سطح شامل زهره، شامی، شش‎بند، سرازیری و برکت بودند. نتایج نشان داد که مدل رگرسیون غیر‎خطی لجستیک به‎خوبی روند تغییرات شاخص سطح برگ و تجمع ماده خشک را در برابر زمان توصیف می­کند و از این مدل می‎توان در آنالیزهای رشد استفاده کرد. نتایج استفاده از این مدل نشان داد که ارقام از نظر زمان رسیدن به حداکثر شاخص سطح برگ و مدت‏زمان رسیدن تجمع ماده خشک به 50 درصد حداکثر تفاوت معنی‏دار نداشتند. اثر رقم روی حداکثر شاخص سطح برگ در سطح پنج درصد معنی‌دار بود. ارقام برکت، زهره و سرازیری از شاخص سطح برگ، تجمع ماده خشک و سرعت رشد محصول بالاتری نسبت به ارقام شامی و شش‏بند برخوردار بودند که باعث عملکرد بالاتر این ارقام شد. شاخص سطح برگ باقلا در تمامی ارقام از نوع بحرانی بود. متوسط شاخص برگ بحرانی در ارقام باقلا 37/1 برآورد شد. حداکثر و حداقل سرعت رشد نسبی در ابتدای فصل رشد به‏ترتیب 066/0 و 055/0 گرم بر گرم در روز به ارقام سرازیری و برکت تعلق داشتند.

کلیدواژه‌ها


عنوان مقاله [English]

The Analysis of Topping Results of Faba Bean Varieties (Vicia faba L.) by Using Logistic Nonlinear Regression Model

نویسندگان [English]

  • Arefeh Alipour Ghasem Abad sofla 1
  • Ali Rahemi Karizaki 2
  • Ali Nakhzari-moghaddam 3
  • Abbas Biabani 3
1 Agro Ecology, Gonbad Kavoos University, Gonbad Kavoos, Iran
2 Assistant Professor, Dept. plant production, Gonbad Kavoos University, Iran
3 Department of Plant Production, Gonbad Kavoos University, Gonbad Kavoos, Iran
چکیده [English]

Growth analysis is a valuable method to quantify crop growth, development and production. Because, parameters of nonlinear regression models have significant physiological meanings, it was decided to study the effect of topping and variety on crop growth indices by using a logistic nonlinear regression model in a factorial experiment, based on randomized complete block design with 3 replications, at the Research Farm of Gonbad University during 2014-2015. The first factor consisted of five faba bean verities (Zohreh, Shami, Sheshband, Sarazeri and Barkat) and the second factor of two levels, topping and control. Results showed that using this molel described well the variation pattern of dry matter accumulation and LAI by time. It was also revealel that the difference between verities for the time to reach maximum leaf area index and the time required to reach 50 percent of maximum dry matter were not significant. The effect of variety on leaf area index was significant at the 5% level. The maximum and minimum leaf area index, total dry matter and crop growth rate of Barkat, Zohre and the Saraziri were higher than Shami and Sheshband varieties, and thus this was resulted in higher yield. Leaf area index in all varieties was the critical leaf area index. The average critical leaf area index in varieties was 1.37. The maximum and minimum relative growth rate at the beginning of the growing season belonged to the Saraziri and Barkat with 0.066 and 0.055 g/g.day, respectively.

کلیدواژه‌ها [English]

  • leaf area index
  • total dry matter
  • crop growth rate
  • Relative growth rate
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