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dc.contributor.authorGarcía Ispierto, Irina
dc.contributor.authorLópez Gatius, Fernando
dc.contributor.authorBech Sàbat, Gregori
dc.contributor.authorSantolaria Blasco, Pilar
dc.contributor.authorYániz Pérez de Albéniz, Jesús
dc.contributor.authorNogareda, Carmina
dc.contributor.authorDe Rensis, F.
dc.contributor.authorLópez-Béjar, M.
dc.date.accessioned2016-09-02T12:40:06Z
dc.date.issued2007
dc.identifier.issn0093-691X
dc.identifier.urihttp://hdl.handle.net/10459.1/57769
dc.description.abstractSummer heat stress is a main factor related to low conception rate in high producing dairy herds in warm areas worldwide. We assessed the impact of several climate variables on conception rate in high producing dairy cows in northeastern Spain by examining 10,964 inseminations. The temperature–humidity index (THI) was compared with maximum temperature in terms of its efficiency at predicting conception rate. The following data were recorded for each animal: herd, lactation number, insemination number, insemination date, inseminating bull, and AI technician along with climate variables such as mean and maximum temperatures, rainfall, mean and maximum THI for individual time points Days 7 to 1 before insemination, the day of insemination and 1, 2 and 3 days after insemination. Averages were also established for the following periods: from 7 days before insemination to the insemination day, from 3 days before insemination to the insemination day and from the insemination day to 3 days postinsemination. Based on the odds ratios, the likelihood of conception rate increased significantly by factors of 1.48, 1.47, 1.5, and 1.1 for the respective maximum THI classes <70, 71–75, 76–80, and 81–85 only on Day 3 before AI, while on the insemination day, it increased by factors of 1.73, 1.53, 1.11, and 1.3 for the respective maximum THI classes <70, 71–75, 76–80, and 81–85. In a subsequent logistic regression excluding mean and maximum THI, the effectiveness of temperature at predicting conception rate was evaluated. Although high, the fit of the second logistic regression model was slightly lower than that of the full model (P = 0.88 versus P = 0.98, respectively) and the information provided by the THI model. The likelihood of conception rate increased significantly by factors of 1.5, 1.2, 1.0, 1.0 for the respective maximum temperature classes <20, 21–25, 26–30, 31–35 8C on Day 1 after AI. The choice of the THI or temperature to monitor the farm environment would have to depend on the particular farm and situation. In our study conditions, the use of maximum temperature alone gives a new point of view regarding the information provided by the THI variables.ca_ES
dc.description.sponsorshipIrina García-Ispierto was supported by an FPU grant from the Ministerio de Educación y Ciencia, AP-2004-4279, Spain.ca_ES
dc.language.isoengca_ES
dc.publisherElsevierca_ES
dc.relation.isformatofReproducció del document publicat a http//dx.doi.org/10.1016/j.theriogenology.2007.02.009ca_ES
dc.relation.ispartofTheriogenology, 2007, vol. 67, núm. 8, p. 1379-1385ca_ES
dc.rights(c) Elsevier Inc., 2007ca_ES
dc.subjectDairy cowsca_ES
dc.subjectHeat stressca_ES
dc.subjectFertilityca_ES
dc.subjectClimate factorsca_ES
dc.titleClimate factors affecting conception rate of high producing dairy cows in northeastern Spainca_ES
dc.typearticleca_ES
dc.identifier.idgrec010885
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_ES
dc.identifier.doihttps://doi.org/10.1016/j.theriogenology.2007.02.009
dc.date.embargoEndDate10000-01-01


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