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dc.contributor.authorBronson, Kevinen_US
dc.contributor.authorSegarra, Eduardoen_US
dc.contributor.authorWang, Chenggangen_US
dc.contributor.authorZhao, Shiliangen_US
dc.date.accessioned2010-05-03T16:08:45Zen_US
dc.date.accessioned2012-05-07T12:42:51Z
dc.date.available2010-05-03T16:08:45Zen_US
dc.date.available2012-05-07T12:42:51Z
dc.date.issued2010en_US
dc.identifier.citationZhao, S., C. Wang, E. Segarra, K. Bronson. "Multidimensional Quality Attributes and Input Use in Cotton." Beltwide Cotton Conference, 2010.en
dc.identifier.urihttp://hdl.handle.net/2346/1684en_US
dc.description.abstractThis paper uses an ordered logit model to examine the relationship between lint attributes and water and nitrogen inputs in cotton production. The ordered logit model is used because lint attributes are valued by grade and best defined as ordered categorical variables. Our data were obtained from a three-year experiment in a 48-ha center pivot field in a terminated-rye conservation tillage cotton system in Lemesa, Texas. We found that irrigation can increase the chance that lint has better elongation and color but, on the other hand, reduce the chance that lint has better micronaire and length attributes. Nitrogen was found to increase the chance of improved length and degraded color in cotton lint.en
dc.language.isoen_USen
dc.titleMultidimensional Quality Attributes and Input in Cottonen
dc.typePresentationen
ttu.departmentCotton Economics Research Instituteen
ttu.emailkevin.bronson@ttu.eduen
ttu.emaileduardo.segarra@ttu.eduen
ttu.emailchenggang.wang@ttu.eduen
ttu.emailshiliang.zhao@ttu.eduen


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