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Evaluation of the Relationship and Impact of Climatic Factors on West Tennessee Corn and Soybean Yields from 1955 to 2013

机译:1955年至2013年气候因素对西田纳西州玉米和大豆产量的关系和影响的评估

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This study was designed to determine if a relationship existed between corn ( Zea mays ) and soybean ( Glycine max ) yields and climate factors in West Tennessee from 1955 to 2013. Yield data was obtained from National Agricultural Statistics Service (NASS) annual crop surveys for the twenty one counties in United States Department of Agriculture (USDA) West Tennessee and Delta Districts. Climate data was obtained from National Climatic Data Center (NCDC). Only climate data from April through October was used in calculations to more accurately reflect corn and soybean growing seasons. Correlations, linear regressions, and multiple regressions were developed to compare crop yields with climate factors for the year as well as three phases of the crop production process (planting, growing, and harvesting). Significant relationships were found to exist between corn yield and minimum temperature ( r = 0.32; P = .01), precipitation ( r = 0.29; P = .26), Palmer Z-Index ( r = 0.26; P = .47), and one month Standardized Precipitation Index ( r = 0.26; P = .049). Significant relationships were found between soybean yield and maximum temperature ( r = -0.32; P = .01), precipitation ( r = 0.43; P < 0.001), Palmer Drought Severity Index ( r = 0.28; P = .03), Palmer Z-Index ( r = 0.43; P < .001), and one month Standardized Precipitation Index ( r = 0.46; p < .001). The study found that yields were dependent on multiple climatic factors due to the abundance of significant multiple regression models compared to linear regression models. However, West Tennessee corn and soybean yields were not statistically influenced by average temperature or climate factors during the planting stage of production. Overall, growing season temperature and precipitation factors were important and will continue to impact corn and soybean yields in West Tennessee.
机译:本研究旨在确定1955年至2013年西田纳西州的玉米(Zea mays)和大豆(Glycine max)产量与气候因子之间是否存在关系。产量数据来自美国国家农业统计局(NASS)的年度作物调查美国农业部(USDA)西田纳西州和三角洲地区的21个县。气候数据是从国家气候数据中心(NCDC)获得的。计算中仅使用4月至10月的气候数据来更准确地反映玉米和大豆的生长季节。开发了相关性,线性回归和多元回归,以比较一年中的作物产量与气候因素以及作物生产过程的三个阶段(种植,生长和收获)。发现玉米产量与最低温度(r = 0.32; P = .01),降水(r = 0.29; P = .26),Palmer Z指数(r = 0.26; P = .47)之间存在显着关系。和一个月的标准降水指数(r = 0.26; P = .049)。大豆产量与最高温度(r = -0.32; P = .01),降水(r = 0.43; P <0.001),Palmer干旱严重度指数(r = 0.28; P = .03),Palmer Z之间存在显着的关系。指数(r = 0.43; P <.001)和一个月的标准化降水指数(r = 0.46; p <.001)。研究发现,与线性回归模型相比,由于大量重要的多元回归模型的存在,产量取决于多个气候因素。但是,田纳西州的玉米和大豆单产在种植过程中不受平均温度或气候因素的统计影响。总体而言,生长季节的温度和降水因子很重要,并将继续影响西田纳西州的玉米和大豆单产。

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