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Utilizing Drought‐Days in Evaluating Irrigation and Fertility Response Studies
Author(s) -
Parks W. L.,
Knetsch J. L.
Publication year - 1960
Publication title -
soil science society of america journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 168
eISSN - 1435-0661
pISSN - 0361-5995
DOI - 10.2136/sssaj1960.03615995002400040023x
Subject(s) - irrigation , yield (engineering) , agronomy , crop , environmental science , cropping , soil fertility , mathematics , moisture , fertility , agriculture , soil water , geography , biology , medicine , population , soil science , ecology , materials science , meteorology , metallurgy , environmental health
It is expected that a crop grown during a year of insufficient moisture will economically require less fertilizer than a similar crop grown with an ample supply of moisture. Likewise, crop response to supplemental irrigation would be greater during a year of low rainfall than during a year of adequate rainfall. The moisture deficiencies may be expressed as “drought‐days” for any specific soil‐crop‐fertility situation. Incorporating “drought‐days” as a production function to characterize the factor‐product relationship as shown in the general equation below permits an evaluation of the effects of drought on yield and on the interactions with other variables such as fertility. Y = b 0 + b 1 N + b 2 N 2 + b 3 D + b 4 D 2 + b 5 ND. Where Y = yield, N = pounds of nitrogen per acre and D = drought‐days or drought index. A history of drought conditions for an area may then be used to obtain probabilities of the frequency of occurrence of varying degrees of drought and consequently the effect on yield outcome. This permits the presentation of yield outcome in terms of risks for various inputs rather than as single valued outcomes. Irrigation may be expected to reduce the number of drought‐days encountered in any cropping situation. Expressing crop yields as a function of drought‐days and fertility level permits the evaluation of irrigation on yield and subsequent crop income. Combining this with the probabilities for drought occurrence provides a means for determining the expected irrigation response in an area and attaching probability statements relative to such a response.