瓜尔豆(Cyamopsis tetragonoloba)种子萌发与温度的关系

Seyyed Hamid Reza Ramazani, Fariba Armoon, Behdani
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摘要

随机设置8个温度处理(10、15、20、25、30、35和40°C),共5个重复,研究对发芽性状和早期幼苗生长的影响,并预测萌发的基本温度(最低和最高温度)。发芽率、日发芽率、平均日发芽率、子芽长、根长和幼苗长。利用发芽率,利用所提出的模型(logistic、双向、二次和三阶多项式)进行回归分析,计算发芽率的基数温度。数据采用SAS软件分析,比较方法采用Duncan检验,概率水平为5%。使用Sigma Plot软件绘制发芽率与温度的关系图(用于拟合不同的模型)。结果:不同温度水平对种子发芽率、发芽率和平均发芽率的影响显著(P <0.05)。结果表明,发芽率、发芽率和平均发芽率在5℃、10℃和40℃时最低,发芽率在15℃时最高,发芽率和平均发芽率在35℃时最高。不同温度水平对幼苗生长的影响结果表明,温度对幼苗长、茎长和根长影响显著(P <0.01),在5℃、10℃和40℃时,幼苗长、胚轴和胚根相关值最小,30℃时幼苗长和胚轴长最大。结论:采用四种双函数、logistic、二次多项式和三重多项式对不同温度水平下标准种子的萌发反应进行了定量分析。基于解释系数(r2)和偏差量的二阶多任务回归模型与发芽率对独立温度变量的相关数据拟合良好且显著。根据模型参数,瓜尔瓜尔萌发的最适温度为26.05℃,最高温度和最低温度分别为6.09℃和40℃。
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Quantifying Guar (Cyamopsis tetragonoloba) Seed Germination Relative to Temperature
investigate the effect of on germination traits and early seedling growth and predict the cardinal temperatures (minimum, and maximum) of germination in a randomized with 8 levels of temperature treatments 10, 15, 20, 25, 30, 35, and 40°C), with 5 replications. Germination percentage, daily germination speed, mean daily germination, plumule length, root length, and seedling length Cardinal temperatures of germination calculated using regression analysis with the aid of the proposed models (logistic, two-way, quadratic, and third-order polynomials) using germination speed. The data were analyzed using SAS software and the comparison means were done by Duncan's test at a probability level of 5%. Sigma Plot software was used to plot the germination rate against temperature graphs (for fitting different models). Results: The results showed that the effect of different temperature levels on the percentage, speed and mean seed germination was significant (P <0.05). According to the results, the lowest values for percentage, speed, and average germination were obtained at 5, 10, and 40°C, and the highest germination speed was observed at 15 °C and also the highest percentage of germination and average germination was observed at 35°C. The results of the effect of different temperature levels on seedling growth showed that the effect of temperature on the seedling length, stem, and root length was significant (P <0.01), so that the lowest values related to seedling length, plumule and radicle was found at 5, 10 and 40°C, and the maximum seedling and plumule length were 30°C. Conclusion: Quantification of the gauge seed germination reaction to different temperature levels was carried out using four dual-functions, logistic, quadratic and triple polynomials. The second-order multitasking regression model, based on the coefficient of explanation (R 2 ) and the amount of deviation, had a suitable and significant fit with the data related to germination rate against the independent temperature variable. Based on the parameters of the model, the optimum temperature was obtained at 26.05°C and the minimum and maximum temperature of guar germination were calculated to be 6.09 and 40°C.
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