پديد آورندگان :
سلطانی افشین نويسنده گروه زراعت، دانشگاه علوم كشاورزی و منابع طبیعی گرگان Soltani A , زینلی ابراهیم نويسنده گروه زراعت، دانشگاه علوم كشاورزی و منابع طبیعی گرگان Zeinali E , كامكار بهنام نويسنده گروه زراعت، دانشگاه علوم كشاورزی و منابع طبیعی گرگان Kamkar B , فیروزفرد محمد نويسنده گروه زراعت، دانشگاه علوم كشاورزی و منابع طبیعی گرگان Firozfard M
كليدواژه :
وزن برگ , اندام رويشي , فاصله كاشت بوته , قرينگي , رقم
چكيده فارسي :
تراكم بوته از عوامل مدیریتی مهم بر روی عملكرد گیاهان زراعی میباشد. بهمنظور كمیسازی سطح برگ و صفات رویشی در گندم، آزمایشی بهصورت فاكتوریل در قالب طرح بلوكهای كامل تصادفی در مزرعه تحقیقاتی دانشگاه علوم كشاورزی و منابع طبیعی گرگان طی سال زراعی
92-1391 با چهار تكرار اجرا شد. تیمارها شامل تراكم بوته (50، 100، 200، 350، 500، 650، 800 بذر در مترمربع) و دو رقم (كوهدشت و مروارید) بودند. فاصله ردیف های كاشت 20 سانتیمتر در نظر گرفته شد. نتایج نشان داد كه بین سطح برگ با سایر صفات رویشی روابط آلومتریك مناسبی تا مرحله تورم غلاف برگ پرچم وجود داشت بهطوریكه ضرایب تبیین بین سطح برگ بوته با تعداد برگ در ساقه اصلی، وزن خشك برگ سبز و ارتفاع بوته بهترتیب 0/87، 0/78 و 0/85 بود. همچنین در بررسی اثر تراكم بر روی روابط آلومتریك بین صفات نتایج نشان دادند كه برای صفات سطح برگ در مقابل تعداد برگ در ساقه اصلی و ارتفاع بوته تراكم تأثیر معنیداری در سطح یك درصد وجود داشت و برای صفت سطح برگ بوته در مقابل وزن خشك برگ سبز اثر تراكم غیرمعنیدار بود. از روابط بهدست آمده در این آزمایش میتوان در مدلهای شبیهسازی رشد و نمو گندم استفاده كرد.
چكيده لاتين :
<strong >Introduction </strong >
Crop models are the most important components of ecological models. These models could provide the possibility of crop systems prediction in addition to increase the understanding of their performance. Allometric relationships of plants show changes of growth of one part in comparison to other parts of the plant. Determine the appropriate plant density in crops, especially wheat has the high importance which affects some characteristics such as yield and yield component. This affects varies in different stages of plant growth.
<strong >Materials and Methods </strong >
This research has been done in research station of Gorgan University of Agricultural Sciences and Natural Resources (37,45N, 54,30E and 120m above sea level) in the growing season of 2012-13. The experiment was conducted in a factorial experiment with randomized complete block design with four replications as base. Treatments consisted of two wheat cultivars (Koohdasht and Morvarid) and 7 plant densities (50, 100, 200, 350, 500, 650, 800 seed.m2). Each replication consisted of 14 plots and each plot had 10 rows with length of 5 m, width of 2 m and a row spacing of 20 cm. Plot distances from each other was 40 cm and block distances was 1 m to each other. Measurements were done from tillering to the end of the growing every 7 to 10 days (depending on weather conditions). Cumulative thermal units were calculated using GDD_Calc program. Power model and non-liner segmented regression model were used to describe allometric relationships.
<strong >Results and Discussion </strong >
For fitting equations related to leaf area versus days after planting, coefficient of determination was 0.73 and root mean square error ranged between 0.37 and 0.77 which revealed that the logistic model could well describe increasing leaf area during the time. There is a significant effect for a, b and c coefficients in different plant density of wheat and increasing density could lead to -the increasing coefficient and decreasing the a and b coefficients. In addition, regarding the relationship between leaf area and number of leaves in different plant density, coefficient of determination values greater than 0.87 and ranges of root mean square error between 9.65 and 24.39, belong to the plant densities of 800 and 50, respectively, which showed a good correlation between leaf area per plant and the numbers of leaves. In this regard, b coefficient has a significant difference in various wheat density.
The relationship between leaf area and green leaf dry weight coefficient of determination greater than 0.78 and the root mean square error between 31.44 and 17.68, respectively belong to plant density of 350 and 100 with no significant difference in b coefficient. In connection with the relationship between leaf area and plant height, coefficient of determination greater than 0.85 and the root mean square error between 9.29 and 21.13 cm.m-2.plant-1 respectively belong to plant density of 800 and 200. We found a significant difference in b coefficient and decrease about 0.0003 unit with increasing plant density.
<strong >Conclusions </strong >
The results of relation between leaf area of each plant with the number of leaves in main stem, dry weight of green leaf and plant height showed good allometirc correlation until booting stage (0.87, 0.78 and 0.85, respectively). In addition, significant effects were investigated for correlation between leaf area of each plant and the number of leaves and plant height, however, correlation between leaf area of each plant and dry weight of green leaf area of plant was not significant.