Use of precision agriculture technologies in studying the relationships among soil pH, calcium carbonate equivalent, soybean cyst nematode population density, and soybean yield

dc.contributor.advisor Antonio P. Mallarino
dc.contributor.author Rogovska, Natalia
dc.contributor.department Agronomy
dc.date 2018-08-24T19:19:09.000
dc.date.accessioned 2020-06-30T08:09:47Z
dc.date.available 2020-06-30T08:09:47Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 2006
dc.date.issued 2006-01-01
dc.description.abstract <p>Iron deficiency chlorosis (IDC) and soybean cyst nematode (SCN; Heterodera glycines) infestation are major factors that contribute to soybean (Glycine max Merr.) yield reduction in the Midwest. The IDC is often associated with soybean grown on high pH, calcareous soils. In addition, it was documented that SCN population density is higher in high pH soils. The objectives of this paper were to assess the proportion of within-field soybean yield and SCN variability that could be explained by soil pH, calcium carbonate equivalent (CCE), and a previously defined alkalinity stress index (ASI). Aerial images from 21 fields planted to SCN-resistant or susceptible soybean varieties were collected from 2001 through 2005 and used as a guide for soil and grain sampling. Ten to 16 sampling sites were selected on each field. Regression analyses within and across sites were used to study relationships between the measured variables. The SCN population density increased and yield decreased with increasing pH, CCE, and ASI across the fields. The percentage of yield variability across fields explained by soil pH, CCE, ASI, and SCN was 13%, 15%, 18%, and 1%, respectively, for resistant soybean varieties and 37%, 24%, 39%, and 10%, respectively, for susceptible varieties. The yield reduction due to high pH, CCE, and ASI was greater for SCN-susceptible varieties in field areas heavily infested with SCN.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/rtd/1869/
dc.identifier.articleid 2868
dc.identifier.contextkey 6131385
dc.identifier.doi https://doi.org/10.31274/rtd-180813-11437
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/1869
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/72616
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/rtd/1869/3243825.PDF|||Fri Jan 14 21:45:32 UTC 2022
dc.subject.disciplines Agricultural Science
dc.subject.disciplines Agriculture
dc.subject.disciplines Agronomy and Crop Sciences
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.disciplines Environmental Monitoring
dc.subject.disciplines Soil Science
dc.subject.keywords Agronomy
dc.subject.keywords Soil science (Soil fertility)
dc.subject.keywords Soil fertility
dc.title Use of precision agriculture technologies in studying the relationships among soil pH, calcium carbonate equivalent, soybean cyst nematode population density, and soybean yield
dc.type article
dc.type.genre dissertation
dspace.entity.type Publication
relation.isOrgUnitOfPublication fdd5c06c-bdbe-469c-a38e-51e664fece7a
thesis.degree.level dissertation
thesis.degree.name Doctor of Philosophy
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