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    The Response of Spring Wheat Yield to Anomalous Climate Sequences in the United States

    Source: Journal of Applied Meteorology:;1978:;volume( 017 ):;issue: 008::page 1101
    Author:
    Starr, Thomas B.
    ,
    Kostrow, Paul I.
    DOI: 10.1175/1520-0450(1978)017<1101:TROSWY>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The response of spring wheat yield to anomalous climate sequences in the United States is estimated using monthly mean temperature and total precipitation for the years 1932 to 1971. A particular anomaly sequence, which is characteristic of the entire spring wheat season from pre-planting through harvest, is constructed from a regression of detrended yield on the coefficients of eigenvectors of the climate variables. This anomaly sequence is chosen in such a way that its coefficient is maximally correlated with yield variations. The coefficient of this anomaly sequence is then used to predict yield in the years 1972?75. The time series of eigenvector coefficients and several measures of climatic variability are examined for evidence of climatic change.
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      The Response of Spring Wheat Yield to Anomalous Climate Sequences in the United States

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4233011
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    contributor authorStarr, Thomas B.
    contributor authorKostrow, Paul I.
    date accessioned2017-06-09T17:39:36Z
    date available2017-06-09T17:39:36Z
    date copyright1978/08/01
    date issued1978
    identifier issn0021-8952
    identifier otherams-9514.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4233011
    description abstractThe response of spring wheat yield to anomalous climate sequences in the United States is estimated using monthly mean temperature and total precipitation for the years 1932 to 1971. A particular anomaly sequence, which is characteristic of the entire spring wheat season from pre-planting through harvest, is constructed from a regression of detrended yield on the coefficients of eigenvectors of the climate variables. This anomaly sequence is chosen in such a way that its coefficient is maximally correlated with yield variations. The coefficient of this anomaly sequence is then used to predict yield in the years 1972?75. The time series of eigenvector coefficients and several measures of climatic variability are examined for evidence of climatic change.
    publisherAmerican Meteorological Society
    titleThe Response of Spring Wheat Yield to Anomalous Climate Sequences in the United States
    typeJournal Paper
    journal volume17
    journal issue8
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1978)017<1101:TROSWY>2.0.CO;2
    journal fristpage1101
    journal lastpage1115
    treeJournal of Applied Meteorology:;1978:;volume( 017 ):;issue: 008
    contenttypeFulltext
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