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      Randomized controlled trial of reinsemination strategies in dairy cows diagnosed nonpregnant using color flow Doppler ultrasonography on d 21 after insemination

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      JDS Communications
      Elsevier

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          Summary: This study was conducted to compare 4 reinsemination strategies to be used when cows are diagnosed nonpregnant on d 21 after insemination using color flow Doppler ultrasonography. Statistical models and a theoretical simulation were used to quantify the effect on subsequent reproductive performance of cows. Although the 4 strategies did not have the same conception risk at first insemination following enrollment, some had shorter reinsemination delays than others. When applying these numbers to a theoretical simulation, 2 strategies (2×GnRH and Resynch) yielded a lower proportion of cows remaining nonpregnant 42 d after initial insemination.

          Highlights

          • We compared 4 reinsemination strategies for use after a Doppler nonpregnancy diagnosis.

          • Two of these strategies provided better results than the others.

          • Benefiting from an early nonpregnancy diagnosis allowed improvements in subsequent reproduction.

          Abstract

          The objective of this study was to quantify the reproductive performance of 4 reinsemination strategies in cows diagnosed nonpregnant using corpus luteum color flow Doppler ultrasonography on d 21 after last insemination. A total of 2,140 color flow Doppler ultrasonography exams from 845 Holstein cows from 10 commercial dairy herds were used in this study. Farms were visited every 2 wk by the research team. On d 7 after insemination, cows were enrolled in a randomized controlled trial to be assigned 1 of 4 treatments if they were subsequently diagnosed nonpregnant on d 21. All cows were then examined on d 21 using Doppler ultrasonography to diagnose nonpregnancy. Treatment A (CON) was the control group: nonpregnant cows were programmed to receive a standard Ovsynch protocol starting on d 32. Nonpregnant cows in treatment B (GnRH) were injected i.m. with GnRH on d 21 after insemination and reinseminated immediately. Cows in treatment C (2×GnRH) received an i.m. injection of GnRH on d 11 after insemination. If diagnosed nonpregnant on d 21 after insemination, they were injected i.m. with GnRH on d 21 after insemination and inseminated immediately. Cows in treatment D (Resynch) received an i.m. injection of GnRH on d 14 after insemination. If diagnosed nonpregnant on d 21 after insemination, they were injected i.m. with PGF on d 21 after insemination and injected i.m. with GnRH on d 24. Then, a standard Ovsynch protocol was started on d 32. Statistical analyses were performed using mixed logistic regression models accounting for cow clustering and herd effect. A theoretical simulation was performed for each treatment to quantify the proportion of cows remaining nonpregnant 42 d after initial insemination. Of the 2,140 color flow Doppler ultrasonography exams in the study, 870 (40.6%) had a Doppler score of D0 (n = 444) or D1 (n = 426), which were indicative of nonpregnancy and used for data analysis. Overall, the number of exams assigned to each treatment was as follows: CON = 223 (25.6%), GnRH = 214 (24.6%), 2×GnRH = 220 (25.3%), and Resynch = 213 (24.5%). The final mixed multivariable logistic regression model included treatment, parity, days in milk at enrollment, and herd. Conception risk at first insemination following enrollment was 31.4, 20.6, 31.9, and 48.7% for treatments CON, GnRH, 2×GnRH, and Resynch, respectively. Based on the simulation, if 100 cows were diagnosed nonpregnant at their color flow Doppler ultrasonography exam on d 21 after last insemination, the total number of cows remaining nonpregnant 42 d after the initial insemination would be 69, 72, 58, and 51 for treatments CON, GnRH, 2×GnRH, and Resynch, respectively. Thus, the treatments used in groups 2×GnRH and Resynch for cows diagnosed nonpregnant on d 21 after insemination yielded better results than those used in the other groups.

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          Most cited references14

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          Simulation study of confounder-selection strategies.

          In the absence of prior knowledge about population relations, investigators frequently employ a strategy that uses the data to help them decide whether to adjust for a variable. The authors compared the performance of several such strategies for fitting multiplicative Poisson regression models to cohort data: 1) the "change-in-estimate" strategy, in which a variable is controlled if the adjusted and unadjusted estimates differ by some important amount; 2) the "significance-test-of-the-covariate" strategy, in which a variable is controlled if its coefficient is significantly different from zero at some predetermined significance level; 3) the "significance-test-of-the-difference" strategy, which tests the difference between the adjusted and unadjusted exposure coefficients; 4) the "equivalence-test-of-the-difference" strategy, which significance-tests the equivalence of the adjusted and unadjusted exposure coefficients; and 5) a hybrid strategy that takes a weighted average of adjusted and unadjusted estimates. Data were generated from 8,100 population structures at each of several sample sizes. The performance of the different strategies was evaluated by computing bias, mean squared error, and coverage rates of confidence intervals. At least one variation of each strategy that was examined performed acceptably. The change-in-estimate and equivalence-test-of-the-difference strategies performed best when the cut-point for deciding whether crude and adjusted estimates differed by an important amount was set to a low value (10%). The significance test strategies performed best when the alpha level was set to much higher than conventional levels (0.20).
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            An economic decision-making support system for selection of reproductive management programs on dairy farms.

            Because the reproductive performance of lactating dairy cows influences the profitability of dairy operations, predicting the future reproductive and economic performance of dairy herds through decision support systems would be valuable to dairy producers and consultants. In this study, we present a highly adaptable tool created based on a mathematical model combining Markov chain simulation with partial budgeting to obtain the net present value (NPV; $/cow per year) of different reproductive management programs. The growing complexity of reproductive programs used by dairy farms demands that new decision support systems precisely reflect the events that occur on the farm. Therefore, the model requires productive, reproductive, and economic input data used for simulation of farm conditions to account for all factors related to reproductive management that increase costs and generate revenue. The economic performance of 3 different reproductive programs can be simultaneously compared with the current model. A program utilizing 100% visual estrous detection (ED) for artificial insemination (AI) is used as a baseline for comparison with 2 other programs that may include 100% timed AI (TAI) as well as any combination of TAI and ED. A case study is presented in which the model was used to compare 3 different reproductive management strategies (100% ED baseline compared with two 100% TAI options) using data from a commercial farm in Wisconsin. Sensitivity analysis was then used to assess the effect of varying specific reproductive parameters on the NPV. Under the simulated conditions of the case study, the model indicated that the two 100% TAI programs were superior to the 100% ED program and, of the 100% TAI programs, the one with the higher conception rate (CR) for resynchronized AI services was economically superior despite having higher costs and a longer interbreeding interval. A 4% increase in CR for resynchronized AI was sufficient for the inferior 100% TAI to outperform the superior program. Adding ED to the 100% TAI programs was only beneficial for the program with the lower CR. The improvement in service rate required for the 100% ED program to have the same NPV as the superior 100% TAI program was 12%. The decision support system developed in this study is a valuable tool that may be used to assist dairy producers and industry consultants in selecting the best farm-specific reproductive management strategy.
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              Luteal blood flow is a more appropriate indicator for luteal function during the bovine estrous cycle than luteal size.

              The objective of this study was to assess the reliability of luteal blood flow (LBF) as recorded by color Doppler sonography to monitor luteal function during the estrous cycle of dairy cows and to compare the results with that for the established criterion luteal size (LS) as determined by B-mode sonography. In total, 14 consecutive sonographic examinations were carried out in 10 synchronized lactating Holstein-Friesian cows (Bos taurus) on Days 4, 5, 6, 7, 8, 10, 12, 14, 16, -5, -4, -3, -2, -1 of the estrous cycle (Day 1=ovulation). Plasma progesterone concentrations in venous blood (P(4)) were quantified by enzyme immunoassay. Luteal size was determined by sonographic measurement of the maximal cross-sectional area of the corpus luteum (CL). Luteal blood supply was estimated by calculating the maximum colored area of the CL from power Doppler sonographic images. Luteal size doubled during the luteal growth phase (until Day 7) and remained at this level during the luteal static phase (Day 8 to 16) before decreasing rather slowly during luteal regression (Days -5 to -1). Luteal blood flow doubled during the growth phase, doubled furthermore during the static phase, and decreased rapidly during luteal regression. Thus, LBF values represented highly reliable predictors of luteal status. Luteal blood flow predicted reliably a P(4)>1.0 ng/mL by reaching only 35% of the maximal values, whereas LS had to exceed 60% of the maximal values to indicate reliably a functional CL. It is concluded that LBF reflected luteal function better than LS specifically during luteal regression. Copyright 2010 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Journal
                JDS Commun
                JDS Commun
                JDS Communications
                Elsevier
                2666-9102
                09 October 2021
                November 2021
                09 October 2021
                : 2
                : 6
                : 381-386
                Affiliations
                [1]Faculté de médecine vétérinaire, Université de Montréal, 3200, rue Sicotte, Saint-Hyacinthe, Québec, J2S 2M2, Canada
                Author notes
                [* ]Corresponding author Jocelyn.dubuc@ 123456umontreal.ca
                Article
                S2666-9102(21)00159-9
                10.3168/jdsc.2021-0149
                9623643
                36337116
                24ec0eeb-c9a1-4d02-99d3-0136bf1fa7fe
                © 2021.

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 8 July 2021
                : 16 August 2021
                Categories
                Health, Behavior, and Well-being
                Research
                Short Communication

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