1
|
Medeiros GC, Ferraz JBS, Pedrosa VB, Chen SY, Doucette JS, Boerman JP, Brito LF. Genetic parameters for udder conformation traits derived from Cartesian coordinates generated by robotic milking systems in North American Holstein cattle. J Dairy Sci 2024:S0022-0302(24)00797-5. [PMID: 38762108 DOI: 10.3168/jds.2023-24208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 04/01/2024] [Indexed: 05/20/2024]
Abstract
Udder conformation is directly related to milk yield, cow health, workability, and welfare. Automatic milking systems (AMS, also known as milking robots) have become popular worldwide, and the number of dairy farms adopting these systems have increased considerably over the past years. In each milking visit, AMS record the location of the 4 teats as Cartesian coordinates in a xyz plan, which can then be used to derive udder conformation traits. AMS generate a large amount of per milking visit data for individual cows, which contribute to an accurate assessment of important traits such as udder conformation without the addition of human classifier errors (in subjective scoring systems). Therefore, the primary objectives of this study were to estimate genomic-based genetic parameters for udder conformation traits derived from AMS records in North American Holstein cattle and to assess the genetic correlation between the derived traits for evaluating the feasibility of multi-trait genomic selection for breeding cows that are more suitable for milking in AMS. The Cartesian teat coordinates measured during each milking visit were collected by 36 milking robots in 4,480 Holstein cows from 2017 to 2021, resulting in 5,317,488 records. A total of 4,118 of these Holstein cows were also genotyped for 57,600 single nucleotide polymorphisms. Five udder conformation traits were derived: udder balance (UB, mm), udder depth (UD, mm), front teat distance (FTD, mm), rear teat distance (RTD, mm), and distance front-rear (DFR, mm). In addition, 2 traits directly related to cow productivity in the system were added to the study: daily milk yield (DY) and milk electroconductivity (EC; as an indicator of mastitis). Variance components and genetic parameters for UB, UD, FTD, RTD, DFR, DY, and EC were estimated based on repeatability animal models. The estimates of heritability (±standard error, SE) for UB, UD, FTD, RTD, DFR, DY, and EC were 0.41 ± 0.02, 0.79 ± 0.01, 0.53 ± 0.02, 0.40 ± 0.02, 0.65 ± 0.02, 0.20 ± 0.02, and 0.46 ± 0.02, respectively. The repeatability estimates (±SE) for UB, UD, FTD, RTD, and DFR were 0.82 ± 0.01, 0.93 ± 0.01, 0.87 ± 0.01, 0.83 ± 0.01, and 0.88 ± 0.01, respectively. The strongest genetic correlations were observed between the FTD and RTD (0.54 ± 0.03), UD and DFR (-0.47 ± 0.03), DFR and FTD (0.32 ± 0.03), and UD and FTD (-0.31 ± 0.03). These results suggest that udder conformation traits derived from Cartesian coordinates from AMS are moderately to highly heritable. Furthermore, the moderate genetic correlations between these traits should be considered when developing selection sub-indexes. The most relevant genetic correlations between traits related to cow milk productivity and udder conformation traits were between UD and EC (-0.25 ± 0.03) and between DFR and DY (0.30 ± 0.04), in which both genetic correlations are favorable. These findings will contribute to the design of genomic selection schemes for improving udder conformation in North American Holstein cattle, especially in precision dairy farms.
Collapse
Affiliation(s)
- Gabriel C Medeiros
- Department of Veterinary Medicine, College of Animal Sciences and Food Engineering, University of São Paulo, Pirassununga, SP, 13635-900, Brazil; Department of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA
| | - Jose Bento S Ferraz
- Department of Veterinary Medicine, College of Animal Sciences and Food Engineering, University of São Paulo, Pirassununga, SP, 13635-900, Brazil
| | - Victor B Pedrosa
- Department of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA
| | - Shi-Yi Chen
- Department of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - Jarrod S Doucette
- Agriculture Information Technology (AgIT), Purdue University, West Lafayette, IN, 47907, USA
| | - Jacquelyn P Boerman
- Department of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA
| | - Luiz F Brito
- Department of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA.
| |
Collapse
|
2
|
Graham JR, Montes ME, Pedrosa VB, Doucette J, Taghipoor M, Araujo AC, Gloria LS, Boerman JP, Brito LF. Genetic parameters for calf feeding traits derived from automated milk feeding machines and number of bovine respiratory disease treatments in North American Holstein calves. J Dairy Sci 2024; 107:2175-2193. [PMID: 37923202 DOI: 10.3168/jds.2023-23794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 10/03/2023] [Indexed: 11/07/2023]
Abstract
Precision livestock farming technologies, such as automatic milk feeding machines, have increased the availability of on-farm data collected from dairy operations. We analyzed feeding records from automatic milk feeding machines to evaluate the genetic background of milk feeding traits and bovine respiratory disease (BRD) in North American Holstein calves. Data from 10,076 preweaning female Holstein calves were collected daily over a period of 6 yr (3 yr included per-visit data), and daily milk consumption (DMC), per-visit milk consumption (PVMC), daily sum of drinking duration (DSDD), drinking duration per-visit, daily number of rewarded visits (DNRV), and total number of visits per day were recorded over a 60-d preweaning period. Additional traits were derived from these variables, including total consumption and duration variance (TCV and TDV), feeding interval, drinking speed (DS), and preweaning stayability. A single BRD-related trait was evaluated, which was the number of times a calf was treated for BRD (NTT). The NTT was determined by counting the number of BRD incidences before 60 d of age. All traits were analyzed using single-step genomic BLUP mixed-model equations and fitting either repeatability or random regression models in the BLUPF90+ suite of programs. A total of 10,076 calves with phenotypic records and genotypic information for 57,019 SNP after the quality control were included in the analyses. Feeding traits had low heritability estimates based on repeatability models (0.006 ± 0.0009 to 0.08 ± 0.004). However, total variance traits using an animal model had greater heritabilities of 0.21 ± 0.023 and 0.23 ± 0.024, for TCV and TDV, respectively. The heritability estimates increased with the repeatability model when using only the first 32 d preweaning (e.g., PVMC = 0.040 ± 0.003, DMC = 0.090 ± 0.009, DSDD = 0.100 ± 0.005, DS = 0.150 ± 0.007, DNRV = 0.020 ± 0.002). When fitting random regression models (RRM) using the full dataset (60-d period), greater heritability estimates were obtained (e.g., PVMC = 0.070 [range: 0.020, 0.110], DMC = 0.460 [range: 0.050, 0.680], DSDD = 0.180 [range: 0.010, 0.340], DS = 0.19 [range: 0.070, 0.430], DNRV = 0.120 [range: 0.030, 0.450]) for the majority of the traits, suggesting that RRM capture more genetic variability than the repeatability model with better fit being found for RRM. Moderate negative genetic correlations of -0.59 between DMC and NTT were observed, suggesting that automatic milk feeding machines records have the potential to be used for genetically improving disease resilience in Holstein calves. The results from this study provide key insights of the genetic background of early in-life traits in dairy cattle, which can be used for selecting animals with improved health outcomes and performance.
Collapse
Affiliation(s)
- Jason R Graham
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907
| | - Maria E Montes
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907
| | - Victor B Pedrosa
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907
| | - Jarrod Doucette
- Agriculture Information Technology (AgIT), Purdue University, West Lafayette, IN 47907
| | - Masoomeh Taghipoor
- Université Paris-Saclay, INRAE, AgroParisTech, UMR Modélisation Systémique Appliquée aux Ruminants, 91120, Palaiseau, France
| | - André C Araujo
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907
| | - Leonardo S Gloria
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907
| | | | - Luiz F Brito
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907.
| |
Collapse
|
3
|
Saleh AA, Easa AA, El-Hedainy DK, Rashad AMA. Prediction of some milk production traits using udder and teat measurements with a spotlight on their genetic background in Friesian cows. Sci Rep 2023; 13:16193. [PMID: 37758771 PMCID: PMC10533887 DOI: 10.1038/s41598-023-43398-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 09/22/2023] [Indexed: 09/29/2023] Open
Abstract
The aggregate udder shape (Bowl, Round, Cup), udder measurements (udder width, UW, udder front depth, UFD, udder rear depth, URD, udder levelness, ULV, udder heights, UH) and teat measurements (teat diameters, TD, front teat length, FTL, rear teat length, RTL, distance between front teats, DFT and distance between rear teats, DRT) were measured on 1300 Friesian cows located in a commercial farm under subtropical conditions (Egypt) to appraise udder and teats status and to evaluate the possible relationships with some milk production characteristics in conjunction with udder shape, age at first calving, sire and inbreeding effects on udder morphological traits and milk production ability. For such an available sample size, parity had affected (P < 0.01) UFD, TD, FTL and RTL. In addition, udder shape affected (P < 0.01) UW, UFD, URD, ULV and DFT. None of the other studied factors affected milk production traits. The bowl udder shape (P < 0.01) yielded a high total milk yield (3267.19 kg), adjusted milk yield (2443.01 kg) and lactation length (480.70 d) compared to other udder shapes. The genetic correlations of UW with total milk yield and persistency were strongly positive (0.86 and 0.93, respectively). However, strong negative genetic correlations were found between UW with peak milk yield and lactation length (- 0.92 and - 0.80, respectively), between RTL with peak milk yield (- 0.92) and DRT with persistency (- 0.79). As found from the stepwise multiple regression, UW and URD can be used as good indicators for predicting milk yield and lactation length. Additionally, this study spotlights the genetic background of udder characteristics based on reliable studies and the QTL database for cattle as a first step toward applying this knowledge side by side with phenotypic traits to improve the productivity of the Holstein breed under subtropical conditions.
Collapse
Affiliation(s)
- Ahmed A Saleh
- Animal and Fish Production Department, Faculty of Agriculture (El-Shatby), Alexandria University, Alexandria, 22545, Egypt
| | - Ahmed A Easa
- Animal and Poultry Production Department, Faculty of Agriculture, Damanhour University, Damanhour, 22511, Egypt
| | - Dalia K El-Hedainy
- Animal and Fish Production Department, Faculty of Agriculture (El-Shatby), Alexandria University, Alexandria, 22545, Egypt
| | - Amr M A Rashad
- Animal and Fish Production Department, Faculty of Agriculture (El-Shatby), Alexandria University, Alexandria, 22545, Egypt.
| |
Collapse
|
4
|
Ebinghaus A, Johns J, Knierim U. Blood in milk in horned dairy cows-Exploration of incidences and prevention opportunities. Vet Anim Sci 2023; 21:100307. [PMID: 37521408 PMCID: PMC10374595 DOI: 10.1016/j.vas.2023.100307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/01/2023] Open
Abstract
Husbandry of horned cows is one alternative to disbudding that respects the animals´ integrity. Concurrently, housing and management should be aligned with the animals' needs to minimize social interactions that can result in integument damage (ID) and udder injuries associated with blood in milk (BM). No information is available on incidences of BM, nor on specific preventive measures. Thus, this study aimed at investigating BM incidences in horned herds and testing whether compliance with guideline recommendations on the prevention of ID also contributes to mitigate BM. Twenty-one farms documented BM, cows' parity, social rank, and udder damage over seven months covering part of summer with pasture and winter in the barn. A total of 52 factors relating to the guideline were recorded and grouped into 'milking', 'feeding', 'lying', 'walking/activity' and 'herd management'. Each factor was categorised into fulfilled or not, and for each group percentages of fulfilment were calculated. Monthly BM incidences varied from 0.3 to 7.8% with 38% being associated with visible udder damage (BMvD). Most cows affected were in the 2nd to 4th lactation (44%) and middle-ranking (58%). A mixed model regarding 'monthly binomial BMvD' per farm revealed a higher BMvD risk during the barn season (OR = 2.39), highlighting the importance of pasture to alleviate social conflicts. Higher fulfilment of recommendations concerning 'feeding' and 'walking/activity' was associated with a lower risk (OR = 0.94 and 0.95), indicating that the conflict potential in these areas also plays a role for BMvD and can be lowered by a combination of improvement measures.
Collapse
|
5
|
Chen SY, Boerman JP, Gloria LS, Pedrosa VB, Doucette J, Brito LF. Genomic-based genetic parameters for resilience across lactations in North American Holstein cattle based on variability in daily milk yield records. J Dairy Sci 2023; 106:4133-4146. [PMID: 37105879 DOI: 10.3168/jds.2022-22754] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 01/03/2023] [Indexed: 04/29/2023]
Abstract
Considering the increasing challenges imposed by climate change and the need to improve animal welfare, breeding more resilient animals capable of better coping with environmental disturbances is of paramount importance. In dairy cattle, resilience can be evaluated by measuring the longitudinal occurrences of abnormal daily milk yield throughout lactation. Aiming to estimate genetic parameters for dairy cattle resilience, we collected 5,643,193 daily milk yield records on automatic milking systems (milking robots) and milking parlors across 21,350 lactations 1 to 3 of 11,787 North American Holstein cows. All cows were genotyped with 62,029 SNPs. After determining the best fitting models for each of the 3 lactations, daily milk yield residuals were used to derive 4 resilience indicators: weighted occurrence frequency of yield perturbations (wfPert), accumulated milk losses of yield perturbations (dPert), and log-transformed variance (LnVar) and lag-1 autocorrelation (rauto) of daily yield residuals. The indicator LnVar presented the highest heritability estimates (±standard error), ranging from 0.13 ± 0.01 in lactation 1 to 0.15 ± 0.02 in lactation 2; the other 3 indicators had relatively lower heritabilities across the 3 lactations (0.01-0.06). Based on bivariate analyses of each resilience indicator across lactations, stronger genetic correlations were observed between lactations 2 and 3 (0.88-0.96) than between lactations 1 and 2 or 3 (0.34-0.88) for dPert, LnVar, and rauto. For the pairwise comparisons of different resilience indicators within each lactation, dPert had the strongest genetic correlations with wfPert (0.64) and rauto (0.53) in lactation 1, whereas the correlations in lactations 2 and 3 were more variable and showed relatively high standard errors. The genetic correlation results indicated that different resilience indicators across lactations might capture additional biological mechanisms and should be considered as different traits in genetic evaluations. We also observed favorable genetic correlations of these resilience indicators with longevity and Net Merit index, but further biological validation of these resilience indicators is needed. In conclusion, this study provided genetic parameter estimates for different resilience indicators derived from daily milk yields across the first 3 lactations in Holstein cattle, which will be useful when potentially incorporating these traits in dairy cattle breeding schemes.
Collapse
Affiliation(s)
- Shi-Yi Chen
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | | | - Leonardo S Gloria
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907
| | - Victor B Pedrosa
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907
| | - Jarrod Doucette
- Agriculture Information Technology (AgIT), Purdue University, West Lafayette, IN 47907
| | - Luiz F Brito
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907.
| |
Collapse
|
6
|
Pedrosa VB, Boerman JP, Gloria LS, Chen SY, Montes ME, Doucette JS, Brito LF. Genomic-based genetic parameters for milkability traits derived from automatic milking systems in North American Holstein cattle. J Dairy Sci 2023; 106:2613-2629. [PMID: 36797177 DOI: 10.3168/jds.2022-22515] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 10/12/2022] [Indexed: 02/16/2023]
Abstract
The number of dairy farms adopting automatic milking systems (AMS) has considerably increased around the world aiming to reduce labor costs, improve cow welfare, increase overall performance, and generate a large amount of daily data, including production, behavior, health, and milk quality records. In this context, this study aimed to (1) estimate genomic-based variance components for milkability traits derived from AMS in North American Holstein cattle based on random regression models; and (2) derive and estimate genetic parameters for novel behavioral indicators based on AMS-derived data. A total of 1,752,713 daily records collected using 36 milking robot stations and 70,958 test-day records from 4,118 genotyped Holstein cows were used in this study. A total of 57,600 SNP remained after quality control. The daily-measured traits evaluated were milk yield (MY, kg), somatic cell score (SCS, score unit), milk electrical conductivity (EC, mS), milking efficiency (ME, kg/min), average milk flow rate (FR, kg/min), maximum milk flow rate (FRM, kg/min), milking time (MT, min), milking failures (MFAIL), and milking refusals (MREF). Variance components and genetic parameters for MY, SCS, ME, FR, FRM, MT, and EC were estimated using the AIREMLF90 software under a random regression model fitting a third-order Legendre orthogonal polynomial. A threshold Bayesian model using the THRGIBBS1F90 software was used for genetically evaluating MFAIL and MREF. The daily heritability estimates across days in milk (DIM) ranged from 0.07 to 0.28 for MY, 0.02 to 0.08 for SCS, 0.38 to 0.49 for EC, 0.45 to 0.56 for ME, 0.43 to 0.52 for FR, 0.47 to 0.58 for FRM, and 0.22 to 0.28 for MT. The estimates of heritability (± SD) for MFAIL and MREF were 0.02 ± 0.01 and 0.09 ± 0.01, respectively. Slight differences in the genetic correlations were observed across DIM for each trait. Strong and positive genetic correlations were observed among ME, FR, and FRM, with estimates ranging from 0.94 to 0.99. Also, moderate to high and negative genetic correlations (ranging from -0.48 to -0.86) were observed between MT and other traits such as SCS, ME, FR, and FRM. The genetic correlation (± SD) between MFAIL and MREF was 0.25 ± 0.02, indicating that both traits are influenced by different sets of genes. High and negative genetic correlations were observed between MFAIL and FR (-0.58 ± 0.02) and MFAIL and FRM (-0.56 ± 0.02), indicating that cows with more MFAIL are those with lower FR. The use of random regression models is a useful alternative for genetically evaluating AMS-derived traits measured throughout the lactation. All the milkability traits evaluated in this study are heritable and have demonstrated selective potential, suggesting that their use in dairy cattle breeding programs can improve dairy production efficiency in AMS.
Collapse
Affiliation(s)
- Victor B Pedrosa
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907; Department of Animal Sciences, State University of Ponta Grossa, Ponta Grossa, PR, 84030-900, Brazil
| | | | - Leonardo S Gloria
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907
| | - Shi-Yi Chen
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - Maria E Montes
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907
| | - Jarrod S Doucette
- Agriculture Information Technology (AgIT), Purdue University, West Lafayette, IN 47907
| | - Luiz F Brito
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907.
| |
Collapse
|
7
|
Alcantara LM, Baes C, de Oliveira Junior GA, Schenkel FS. Conformation traits of Holstein cows and their association with a Canadian economic selection index. CANADIAN JOURNAL OF ANIMAL SCIENCE 2022. [DOI: 10.1139/cjas-2022-0013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Pro$ is a Canadian economic selection index aimed to maximize profit by increasing production yields, while maintaining conformation and functional traits. Currently, there is an interest in understanding the individual contributions of conformation traits recorded in Canada to the overall economic value of a cow and whether they are equally important. We used multiple polynomial regression and principal component analysis to assess the association of 26 conformation traits with Pro$ using Relative Breeding Values (RBV) from 9,351 proven bulls. The best reduced regression model explained 72.5% of the Pro$ variance, with heel depth and body depth having the highest and lowest effect on Pro$ values, respectively. Four traits classified as intermediate optimum traits, e.g., teat length, showed significant linear association with Pro$ instead of quadratic, whereas bone quality was not significantly associated with the index. Principal component analysis indicated that highly profitable bulls share similar RBV, with a sub-clustering of bulls of daughters with better mammary system versus better dairy strength and feet and legs. These results provide understanding of the individual contributions of conformation traits to Pro$ and give information to guide the Canadian dairy industry on how to best consider these traits in recording and genetic evaluation programs.
Collapse
Affiliation(s)
- Lucas M Alcantara
- University of Guelph, 3653, Animal Biosciences, Guelph, Ontario, Canada
| | - Christine Baes
- University of Guelph, 3653, Animal Biosciences, Guelph, Ontario, Canada
| | | | - Flavio S Schenkel
- University of Guelph, 3653, Department of Animal Biosciences, Guelph, Ontario, Canada, N1G 2W1
| |
Collapse
|
8
|
Alvarenga AB, Oliveira HR, Miller SP, Silva FF, Brito LF. Genetic Modeling and Genomic Analyses of Yearling Temperament in American Angus Cattle and Its Relationship With Productive Efficiency and Resilience Traits. Front Genet 2022; 13:794625. [PMID: 35444687 PMCID: PMC9014094 DOI: 10.3389/fgene.2022.794625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 02/25/2022] [Indexed: 11/13/2022] Open
Abstract
Cattle temperament has been considered by farmers as a key breeding goal due to its relevance for cattlemen's safety, animal welfare, resilience, and longevity and its association with many economically important traits (e.g., production and meat quality). The definition of proper statistical models, accurate variance component estimates, and knowledge on the genetic background of the indicator trait evaluated are of great importance for accurately predicting the genetic merit of breeding animals. Therefore, 266,029 American Angus cattle with yearling temperament records (1-6 score) were used to evaluate statistical models and estimate variance components; investigate the association of sex and farm management with temperament; assess the weighted correlation of estimated breeding values for temperament and productive, reproductive efficiency and resilience traits; and perform a weighted single-step genome-wide association analysis using 69,559 animals genotyped for 54,609 single-nucleotide polymorphisms. Sex and extrinsic factors were significantly associated with temperament, including conception type, age of dam, birth season, and additional animal-human interactions. Similar results were observed among models including only the direct additive genetic effect and when adding other maternal effects. Estimated heritability of temperament was equal to 0.39 on the liability scale. Favorable genetic correlations were observed between temperament and other relevant traits, including growth, feed efficiency, meat quality, and reproductive traits. The highest approximated genetic correlations were observed between temperament and growth traits (weaning weight, 0.28; yearling weight, 0.28). Altogether, we identified 11 genomic regions, located across nine chromosomes including BTAX, explaining 3.33% of the total additive genetic variance. The candidate genes identified were enriched in pathways related to vision, which could be associated with reception of stimulus and/or cognitive abilities. This study encompasses large and diverse phenotypic, genomic, and pedigree datasets of US Angus cattle. Yearling temperament is a highly heritable and polygenic trait that can be improved through genetic selection. Direct selection for temperament is not expected to result in unfavorable responses on other relevant traits due to the favorable or low genetic correlations observed. In summary, this study contributes to a better understanding of the impact of maternal effects, extrinsic factors, and various genomic regions associated with yearling temperament in North American Angus cattle.
Collapse
Affiliation(s)
- Amanda B Alvarenga
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States
| | - Hinayah R Oliveira
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States.,Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada
| | - Stephen P Miller
- American Angus Association, Angus Genetics Inc., St Joseph, MO, United States
| | - Fabyano F Silva
- Department of Animal Sciences, Federal University of Vicosa, Viçosa, Brazil
| | - Luiz F Brito
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States
| |
Collapse
|
9
|
Morales-Piñeyrúa JT, Damián JP, Banchero G, Blache D, Sant'Anna AC. Metabolic profile and productivity of dairy Holstein cows milked by a pasture-based automatic milking system during early lactation: Effects of cow temperament and parity. Res Vet Sci 2022; 147:50-59. [DOI: 10.1016/j.rvsc.2022.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 03/02/2022] [Accepted: 04/08/2022] [Indexed: 10/18/2022]
|
10
|
Cabrera VE, Fadul-Pacheco L. Future of dairy farming from the Dairy Brain perspective: Data integration, analytics, and applications. Int Dairy J 2021. [DOI: 10.1016/j.idairyj.2021.105069] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
11
|
Wangen SR, Zhang F, Fadul-Pacheco L, da Silva TE, Cabrera VE. Improving farm decisions: The application of data engineering techniques to manage data streams from contemporary dairy operations. Livest Sci 2021. [DOI: 10.1016/j.livsci.2021.104602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|