| 不同年份小麦产量与主要农艺性状通径分析 |
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| 引用本文： | 张辉.不同年份小麦产量与主要农艺性状通径分析[J].中国农学通报,2016,32(27):24-28. |
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| 作者姓名： | 张辉 |
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| 作者单位： | 陕西省灾害监测与机理模拟重点实验室/宝鸡文理学院 |
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| 基金项目： | 宝鸡市科技项目“宝鸡市旱作冬小麦水分利用特征差异及抗旱性研究”（16RKX1-14） |
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| 摘 要： | 为了研究小麦产量的影响因素，本文对小麦产量的直接和间接影响因子进行分析。利用2005-2008年陕西省长武县中科院长武农业生态站小麦品种‘长武89134’为试验对象，分析其主要农艺性状之间对小麦产量的影响，对农艺性状和产量的关系进行相关分析和通径分析。各种农艺性状中每穗结实小穗数、千粒重和株高与小麦产量之间存在显著正相关关系，每穗粒数与产量之间达到显著的负相关关系，而地上部分总干重、籽粒干重和每穗小穗数与小麦产量的相关关系不显著。通径分析结果表明自变量每穗结实小穗数和株高对小麦产量的存在正向直接作用（r每穗结实小穗数=0.712**，r株高=0.848**，P<0.05），而地上部总干重和每穗粒数则对产量存在着负向直接作用（r地上部分总干重=-0.792**，r每穗粒数=-0.784**，P<0.05）。‘长武89134’产量受到每穗结实小穗数、株高的正向作用和地上部总干重、每穗粒数的负向作用，因此需要主要针对这四种农艺性状进行筛选，在此基础上再并且协调好与其他农艺性状之间的关系，才能获得相对较高的产量。
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| 关 键 词： | 成龄胶园间作 成龄胶园间作 姜科作物 土壤养分 土壤酶 |
| 收稿时间： | 2015/12/9 0:00:00 |
| 修稿时间： | 2016/8/24 0:00:00 |
Path Analysis of Wheat Yield and Main Agronomic Characters under Different Years |
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| Abstract: | Aims] In order to study the influence factors to wheat yield, the direct and indirect influence factors of wheat yield were analyzed. Methods] The research was conducted in the Chinese academy of science in Changwu on the central loess plateau of Shaanxi province during 2005 to 2008 using wheat variety “Chang Wu 89134”. The relationship between main agronomy characters and wheat yield was analyzed. The correlation and path analysis were also analyzed between them. Results] Yield was positively correlated with the spikelets per spike, grain weight and height while which was negatively correlated with per panicle, and there was no significant correlation between yield and the total aboveground biomass weight, dry weight per plant, and per spike spikelets. There was positive direct effect of spikelets per spike and plant height to the wheat yield by path analysis (rspikelets per spike=0.712**，rplant height=0.848**，P<0.05), while a direct negative effect was shown from total aboveground dry weight and per panicle to the yield(rtotal aboveground dry weight=-0.792**，rper panicle=-0.784**，P<0.05). Conclusions] The spikelets per spike and plant height had positive effect to yield of ‘Changwu 89134’ while upper dry biomass and per panicle number had negative effect. So we could improve the yield by this four agronomic characters. Beside that we could coordinate the relationships with these agronomic characters to improve the yield of wheat. |
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| Keywords: | Agronomic traits Yield Correlation analysis Path analysis |
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