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dc.contributorWahbi, A.en_US
dc.creatorJones, Michaelen_US
dc.date2008-10-03en_US
dc.date.accessioned2021-04-15T22:08:49Z
dc.date.available2021-04-15T22:08:49Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationMichael Jones, A. Wahbi. (3/10/2008). Site-factor Influence on Barley Response to Fertilizer in On-farm Trials in Northern Syria: Descriptive and Predictive Models. Experimental Agriculture, 28 (1), pp. 63-87.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/12889
dc.description.abstractThe effects of site and rate of application of fertilizer on the grain and straw production of barley were investigated in 75 trials on representative farmers' fields. Grain and straw production were strongly but curvilinearly correlated with growth-period rainfall over the range 136–568 mm, almost irrespective of soil type, previous crop or fertilizer rate, and responded positively to applied nitrogen and/or phosphorus in 74 of the trials. Responses to nitrogen increased and those to phosphorus decreased with increasing rainfall. Yields tended to be lower but responses to nitrogen were higher where barley followed barley and were influenced by the availability of phosphate and mineral nitrogen in the soil at planting time. These results are summarized in regression equations, which express yield quadratically in terms of fertilizer rates, seasonal rainfall and their interactions over the full 75-trial data set and within representative sub-sets. The wide differences in crop response to fertilizer highlight the problem of recommending fertilizer rates for a low and variable rainfall environment. Simple second-order multiple regressions for different geographical areas, rainfall zones, crop rotations etc., based on mean rainfall values, account for around 40% of the variance in yield response to nitrogen and phosphorus fertilizer; only a small proportion of the remaining variance appears attributable to rainfall variability. Alternatively, yield may be expressed as a function of fertilizer rate and rainfall using rainfall probability values derived from long-term records. This can be used to estimate the probabilities of predetermined yield responses for specified sites and fertilizer rates and to produce maps of those probabilities.en_US
dc.languageenen_US
dc.publisherCambridge University Press (CUP)en_US
dc.rightsCopyrighted; all rights reserveden_US
dc.sourceExperimental Agriculture;28,(2008) Pagination 63,87en_US
dc.subjectBarleyen_US
dc.titleSite-factor Influence on Barley Response to Fertilizer in On-farm Trials in Northern Syria: Descriptive and Predictive Modelsen_US
dc.typeJournal Articleen_US
cg.subject.agrovocbarleyen_US
cg.subject.agrovocsyriaen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.date.embargo-end-dateTimelessen_US
cg.coverage.regionWestern Asiaen_US
cg.coverage.countrySYen_US
cg.contactMikeJ.Jones@BTInternet.comen_US
cg.identifier.doihttps://dx.doi.org/10.1017/S0014479700023024en_US
dc.identifier.statusTimeless limited accessen_US
mel.impact-factor1.396en_US


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