首页> 外文期刊>Acta Agronomica Hungarica >Relationships between maize yield and growth parameters in a long-term fertilization experiment.
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Relationships between maize yield and growth parameters in a long-term fertilization experiment.

机译:长期施肥试验中玉米产量与生长参数之间的关系。

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In a long-term maize monoculture experiment set up on the active ingredient equivalence principle, changes in the yield components were investigated over a period of three years (2005-2007) as a function of the fertiliser treatments, and the values of the growth parameters HI, LAI, NAR and CGR were calculated using the classical method of growth analysis. The results indicated that optimum N supplies and the year effect made a substantial contribution both to the grain number per ear and to the thousand-kernel weight. In the course of correlation analysis, both Pearson's correlation coefficient and multiple regression analysis demonstrated that the grain yield was in close positive correlation with these yield components, and with the maximum value of dry matter production and the harvest index. The two yield components explained 76% of the grain yield, and the effect of thousand-kernel weight was around 3.75 times as great as that of the grain number per ear ( beta =0.721 vs. 0.192). On the basis of partial correlation analysis, the maximum value of total dry matter and the thousand-kernel weight were jointly responsible for around 60% of the variance in maize grain yield. Analysis using the "Enter" method showed that the two yield components explained 62% and 59% of the grain yield in wet years (R22005=62.3%; R22006=58.8%), while in the dry year neither the thousand-kernel weight nor the grain number per ear had a significant effect on the yield (R22007=4.5%).
机译:在一项基于有效成分等效原理的长期玉米单培养试验中,研究了三年(2005-2007年)期间不同肥料处理对产量构成因素的影响以及生长参数的值HI,LAI,NAR和CGR使用经典的生长分析方法进行计算。结果表明,最佳氮素供应和年效对每穗穗粒数和千粒重都有重要贡献。在相关分析过程中,皮尔逊相关系数和多元回归分析均表明,谷物产量与这些产量构成要素,干物质生产的最大值和收获指数密切相关。这两种产量构成了谷物产量的76%,千粒重的影响大约是每只耳朵谷物数量的3.75倍(β= 0.721对0.192)。在偏相关分析的基础上,总干物质的最大值和千粒重共同构成了玉米单产变化的60%左右。使用“ Enter”方法进行的分析表明,这两个产量成分分别解释了潮湿年份的谷物产量的62%和59%(R 2 2005 = 62.3%; R < sup> 2 2006 = 58.8%),而在干旱年份,千粒重和单穗粒数均对产量没有显着影响(R 2 2007 = 4.5%)。

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