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首页> 外文期刊>American Journal of Experimental Agriculture >Modeling the Influence of Nitrogen Rate and Plant Density on Seed Yield, Yield Components and Seed Quality of Safflower
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Modeling the Influence of Nitrogen Rate and Plant Density on Seed Yield, Yield Components and Seed Quality of Safflower

机译:施氮量和密度对红花种子产量,产量构成及种子品质的影响

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To study the effect of nitrogen rate and plant density at different levels on yield, yield components and quality traits of safflower (cv. Giza 1) an experiment was conducted as split plot design in randomized complete block design arrangement with three replications, during the successive seasons 2010/11 and 2011/12. The factors consisted of four levels of nitrogen (0, 40, 80 and 120 kg N ha-1) and four different densities (80,000, 100,000, 133,000 and 200,000 plants ha-1). Different statistical analyses such as ANOVA, polynomial regression, correlation, and stepwise multiple linear regression were used. The multiple statistical procedures showed that the main effects of nitrogen rate and plant density levels were significant ( P = 0.01) for yield and yield components studied. A rise in nitrogen rate and plant density increased seed and oil yield, whereas plant height, number of branches plant-1, number of heads plant-1, seed yield plant-1 and 1000-seed weight decreased as plant density increased. In general, the highest plant density (200,000 plants ha-1) and the nitrogen level (80 kg ha-1) was the best treatment in this research to attain high safflower seed yield under environmental conditions of Giza Governorate, Egypt. Polynomial models of seed, oil yield and yield components based on the ANOVA were fitted. Polynomial regression analysis indicated that the relationship between the nitrogen amount applied and safflower seed, oil yield and yield components could be defined by using a quadratic function. Also, the results revealed that, yield and yield components were significantly affected by plant density in linear responses. Correlation analysis showed a positive and significant correlation between seed yield ha-1 and each of number of heads plant-1, seed yield plant-1, number of branches plant-1 and 1000-seed weight. Stepwise regression analysis showed that number of heads plant-1 explained 45.57% and along with seed yield plant-1, number of branches plant-1 and 1000-seed weight explained 81.63% of total variations for seed yield (kg ha-1).
机译:为了研究氮肥水平和植物密度在不同水平上对红花(品种吉萨1)的产量,产量构成和品质性状的影响,在连续的连续分块设计安排中,进行了三份重复的分块样地设计试验。 2010/11和2011/12赛季。这些因素包括四个水平的氮(0、40、80和120 kg N ha -1 )和四个不同的密度(80,000、100,000、133,000和200,000植物ha -1 )。使用了不同的统计分析,例如方差分析,多项式回归,相关性和逐步多元线性回归。多种统计程序表明,氮素含量和植物密度水平的主要影响对于所研究的产量和产量成分具有显着影响(P = 0.01)。氮素含量和植株密度的增加增加了种子和油料的产量,而株高,枝条植物 -1 的数量,穗头植物 -1 的数量,种子产量的植物< sup> -1 和千粒重随植物密度的增加而降低。通常,在这项研究中,最高的植物密度(200,000株ha -1 )和氮水平(80 kg ha -1 )是获得高红花的最佳方法。埃及吉萨省环境条件下的种子产量。拟合了基于ANOVA的种子,油产量和产量成分的多项式模型。多项式回归分析表明,施用氮量与红花种子,油产量和产量成分之间的关​​系可以通过二次函数定义。而且,结果表明,产量和产量构成部分在线性响应中受植物密度显着影响。相关分析表明,种子产量ha -1 与头部植物 -1 ,种子产量植物 -1 中的每一个之间都存在正相关和显着相关。 ,植物分枝数 -1 和1000种子重量。逐步回归分析表明,顶头植物 -1 的数量解释为45.57%,连同种子产量植物 -1 的分支植物数量 -1 1000粒重解释了总产量(kg ha -1 )变异的81.63%。

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