Molecular marker prediction for days open and pregnancy rate in Holstein cows managed in a warm climate

Zamorano‐Algandar, Ricardo; Sánchez-Castro, Miguel A; Hernández-Cordero, Ana I.; Enns, R. M.; Speidel, Scott E; Thomas, M. G.; Medrano, Juan F.; Rincón, Gonzalo; Leyva-Corona, José Clemente; Reyna-Granados, Javier R.; Luna‐Nevárez, Pablo

doi:10.1016/j.livsci.2021.104536

Cited by 6 publications

(7 citation statements)

References 33 publications

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“…In northwestern Mexico, the Yaqui Valley experiences extremely hot weather conditions characterized by an average THI that varies from 75.7 units in late spring to 82.2 units at the end of summer. These THI values indicate heat-stressed climatic conditions progressing from moderate to severe during summer, and creating a unique hot weather favorable to study heat stress influence on physiological and molecular markers in dairy cattle [18,34]. Therefore, further studies are proposed to elucidate the ability of circulating AMH concentrations to predict fertility in Holstein dairy cows exposed to HS.…”

Section: Discussionmentioning

confidence: 99%

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Anti-Müllerian Hormone as Endocrine and Molecular Marker Associated with Reproductive Performance in Holstein Dairy Cows Exposed to Heat Stress

Contreras-Méndez,

Medrano,

Thomas

et al. 2023

Preprint

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Anti-Müllerian hormone (AMH) has been proposed as biomarker for fertility in cattle, yet this associative relationship appears to be influenced by heat stress. Objective was to test serum AMH and AMH-related single nucleotide polymorphisms (SNPs) as markers potentially predictive of reproductive traits in heat-stressed dairy cows. The study included 300 Holstein cows that were genotyped using BovineSNP50 (54,000 SNP) after blood samples were collected and DNA extracted. A genome wide association study was then executed. Nine intragenic SNPs within the pathways that influence the AMH gene were found important with multiple comparisons adjustment test (p&lt;1.09x10-6). A further validation study was performed in an independent Holstein cattle population, which was divided into moderate (MH; n=152) and severe heat-stressed (SH; n=128) groups, and subjected to a summer reproductive management program. Serum AMH was confirmed as a predictor of fertility measures (p&lt;0.05) in MH but not in SH group. Cows were genotyped using the TaqMan allelic discrimination method and qPCR, which revealed four SNPs as predictive markers for serum AMH (p&lt;0.01), reproductive traits (p&lt;0.01) and physiological variables (p&lt;0.05). These SNPs were in the genes AMH, IGFBP1, LGR5 and TLR4. In conclusion, both serum AMH concentrations and AMH-related SNPs appear to be associated with fertility traits in dairy cows managed during summer.

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Section: Discussionmentioning

confidence: 99%

“…Efficacy of endocrine and molecular markers as predictors appear to be highly influenced by climate, especially in semi-desert regions that can induce heat-stressed climatic conditions [17,18]. Heat stress (HS) during summer is a major factor responsible to disrupt several reproductive events.…”

Section: Introductionmentioning

confidence: 99%

Anti-Müllerian Hormone as Endocrine and Molecular Marker Associated with Reproductive Performance in Holstein Dairy Cows Exposed to Heat Stress

Contreras-Méndez,

Medrano,

Thomas

et al. 2023

Preprint

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“…Following this, daily records from lactations without LCC at DIM 305 or 304 were excluded ( n = 680,185). For every lactation, the calculated conception date was calculated by subtracting 282 days ( 38 , 39 ) from the subsequent calving date. If no subsequent calving date was present, the breeding status was defined as ‘Never’.…”

Section: Methodsmentioning

confidence: 99%

Prediction of persistency for day 305 of lactation at the moment of the insemination decision

Chen,

Steeneveld,

Nielen

et al. 2023

Front. Vet. Sci.

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When deciding on the voluntary waiting period of an individual cow, it might be useful to have insight into the persistency for the remainder of that lactation at the moment of the insemination decision, especially for farmers who consider persistency in their reproduction management. Currently, breeding values for persistency are calculated for dairy cows but, to our knowledge, prediction models to accurately predict persistency at different moments of insemination are lacking. This study aimed to predict lactation persistency for DIM 305 at different insemination moments (DIM 50, 75, 100, and 125). Available cow and herd level data from 2005 to 2022 were collected for a total of 20,508 cows from 85 herds located in the Netherlands and Belgium. Lactation curve characteristics were estimated for every daily record using the data up to and including that day. Persistency was defined as the number of days it takes for the milk production to decrease by half during the declining stage of lactation, and calculated from the estimated lactation curve characteristic ‘decay’. Four linear regression models for each of the selected insemination moment were built separately to predict decay at DIM 305 (decay-305). Independent variables included the lactation curve characteristics at the selected insemination moment, daily milk yield, age, calving season, parity group and other herd variables. The average decay-305 of primiparous cows was lower than that of multiparous cows (1.55 *10−3 vs. 2.41*10−3, equivalent to a persistency of 447 vs. 288 days, respectively). Results showed that our models had limitations in accurately predicting persistency, although predictions improved slightly at later insemination moments, with R2 values ranging between 0.27 and 0.41. It can thus be concluded that, based only on cow and herd milk production information, accurate prediction of persistency for DIM 305 is not feasible.

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“…The daily records of cows with parity above 7 were also excluded (n = 257,297). For every lactation, DIMc was calculated by subtracting 282 days (Fitzgerald et al, 2015;Zamorano-Algandar et al, 2021) from the subsequent calving date (Figure 3.2).…”

Section: Discussionmentioning

confidence: 99%

“…The 305-day milk production (M305, in kg) can be estimated using the equation: (Fitzgerald et al, 2015;Zamorano-Algandar et al, 2021) from the subsequent calving date. If no subsequent calving date was present, the breeding status was defined as 'Never'.…”

Section: Lactation Curve Modellingmentioning

confidence: 99%

Lactation curve modelling in dairy production

Chen

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Various metrics have been proposed to evaluate milk production of dairy cows, like cumulative milk production over a specific period (e.g., 305 days, 365 days, or an entire lactation) and milk yield per day within a certain period. These metrics are based on simple calculations on raw data. However, they provide an overview of milk production performance without capturing changes in milk production over the entire lactation period. These changes, or patterns in milk production offer more information (e.g., peak yield, peak time, persistency) about the lactation, which can be useful for breeding and selection, health monitoring, and other applications. Lactation curve models can extrapolate and quantify lactation curves and estimate actual production from incomplete data sets, generating various lactation curve characteristics (LCC) to describe the curve in different ways. LCC can serve as a metric to evaluate milk production performance at the cow level and have diverse applications in various dairy research fields. However, some important research topics have received insufficient attention. This thesis was conducted to explore the application of lactation curve modelling based on farm data collected on commercial dairy farms in the Netherlands and Belgium. Applications in cow reproduction performance and herd economic performance were developed. Four objectives were formulated: (1) to predict lactation persistency for DIM 305 at different insemination moments, (2) to investigate the association between days post conception and persistency, (3) to summarize cow lactation curves into herd lactation curve characteristics (HLCC) and illustrate a field application of HLCC, and (4) to compare whether HLCC or the herd’s average 305-day milk production (HM305) is better able to explain herd economic performance.

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Molecular marker prediction for days open and pregnancy rate in Holstein cows managed in a warm climate

Cited by 6 publications

References 33 publications

Anti-Müllerian Hormone as Endocrine and Molecular Marker Associated with Reproductive Performance in Holstein Dairy Cows Exposed to Heat Stress

Anti-Müllerian Hormone as Endocrine and Molecular Marker Associated with Reproductive Performance in Holstein Dairy Cows Exposed to Heat Stress

Prediction of persistency for day 305 of lactation at the moment of the insemination decision

Lactation curve modelling in dairy production

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