Heritability and genetic correlations between rumination time and production traits in Holstein dairy cows during different lactation phases

Moretti, Rıccardo; Rezende, Marcos Paulo Gonçalves de; Biffani, Stefano; Bozzi, Rıccardo

doi:10.1111/jbg.12346

Cited by 21 publications

(11 citation statements)

References 27 publications

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“…The genetic correlation between RT and MY was estimated at 0.41, although with a large standard error. This value was higher than the 0.07 estimated by Moretti et al (2018) but similar to the 0.38 estimated by Moretti et al (2016) and the 0.40 estimated by Watt et al (2015). Larger RT is expected after intense selection pressure on MY.…”

Section: Genetic Correlation Between Rt and Other Traitssupporting

confidence: 62%

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Mitigation of greenhouse gases in dairy cattle via genetic selection: 1. Genetic parameters of direct methane using noninvasive methods and proxies of methane

López-Paredes

Goiri

Atxaerandio

et al. 2020

Journal of Dairy Science

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Records of methane emissions from 1,501 cows on 14 commercial farms in 4 regions of Spain were collected from May 2018 to June 2019. Methane concentrations (MeC) were measured using a nondispersive infrared methane detector installed within the feed bin of the automatic milking system during 14-to 21-d periods. Rumination time (RT; min/d) was collected using collars with a tag that registered time (minutes) spent eating and ruminating. The means of MeC and methane production (MeP) were 1,254.28 ppm and 182.49 g/d, respectively; mean RT was 473.38 min/d. Variance components for MeC, MeP, and RT were estimated with REML using pedigree and genomic information in a single-step model. Heritabilities for MeC and MeP were 0.11 and 0.12, respectively. Rumination time showed a slightly larger heritability estimate (0.17). The genetic correlation between MeP and MeC was high (>0.95), suggesting that selection on either trait would lead to a positive correlated response on the other. Negative correlations were estimated between RT and MeC (−0.24 ± 0.38) and MeP (−0.43 ± 0.35). Methane concentration and MeP had slightly positive correlations with milk yield (0.17 ± 0.39 and 0.21 ± 0.36), protein percentage (0.08 ± 0.32 and 0.30 ± 0.45), protein yield (0.22 ± 0.41 and 0.31 ± 0.35), fat percentage (0.02 ± 0.40 and 0.27 ± 0.36), and fat yield (0.27 ± 0.28 and 0.29 ± 0.28) from bivariate analyses. Rumination time had positive correlations with milk yield (0.41 ± 0.75) and protein yield (0.26 ± 0.57) and negative correlations with fat yield (−0.45 ± 0.32), protein percentage (−0.15 ± 0.38), and fat percentage (−0.40 ± 0.47). A positive approximated genetic correlation was estimated between fertility and MeC (0.10 ± 0.05) and MeP (0.18 ± 0.05), resulting in slightly higher CH 4 production when selecting for better fertility [days open estimated breeding values (EBV) are expressed with mean 100 and SD 10, inversely related to days from calving to conception; that is, greater days open EBV implies better fertility]. Positive correlations were also estimated for stature with MeC and MeP (0.30 ± 0.04 and 0.43 ± 0.04, respectively). Other type traits (chest width, udder depth, angularity, and capacity) were positively correlated with methane traits, possibly because of higher milk yield and higher feed intake from these animals. Rumination time showed positive EBV correlations with production traits and type traits, and negative correlations with somatic cell count and body condition score. Based on the genetic correlations and heritabilities estimated in this study, methane is measurable and heritable, and estimates of genetic correlations suggest no strong opposition to current breeding objectives in Spanish Holsteins.

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Section: Genetic Correlation Between Rt and Other Traitssupporting

confidence: 62%

“…Rumination time showed moderate heritability of 0.17, and its repeatability was estimated to be 0.45. Moretti et al (2016) estimated heritability of 0.32 implementing repeatability animal models and a similar value of 0.34 as Moretti et al (2018).…”

Section: Genetic Parameters Estimatesmentioning

confidence: 95%

Mitigation of greenhouse gases in dairy cattle via genetic selection: 1. Genetic parameters of direct methane using noninvasive methods and proxies of methane

López-Paredes

Goiri

Atxaerandio

et al. 2020

Journal of Dairy Science

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“…Age of first eating bedding and intake of forage before rumination were positively correlated with age of first rumination. In ruminants, rumination behavior is malleable, with low hereditary capacity (about 0.3; Moretti et al, 2018). Thus, we believe that the individual eating patterns of calves may affect rumen development, which also explains why the results of previous studies have different results.…”

Section: Discussionmentioning

confidence: 91%

Development of ruminating behavior in Holstein calves between birth and 30 days of age

Wang

Diao

et al. 2022

Journal of Dairy Science

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Ruminating behavior accompanies the development of the rumen and the intake of solid feed in calves. However, few studies have reported on the emergence and development of rumination. In this study, we observed ruminating behavior changes of 56 Holstein calves (body weight at birth = 40.1 ± 3.96 kg; mean ± standard deviation) from birth to 30 d of age under the feeding management of suckling calves that were only fed pelleted concentrate feed and milk. All calves were housed in individual pens equipped with infrared cameras. We explored feed intake within 30 d of age, body weight on 61 d of age, and other apparent indicators, including the age of first eating the bedding, duration of non-nutritive oral behavior at 25 and 30 d of age, total starter feed intake within 30 d of age, average daily starter feed intake within 30 d of age, and duration of ruminating behavior at 25 and 30 d of age for all calves, to further explore the effects of the age of first ruminating behavior (AFR). The AFR fitted the normal distribution and ranged from 15 to 20 d of age for 50% of the experimental population. The AFR was positively correlated with the age of first eating the bedding and duration of non-nutritive oral behavior at 30 d of age. Total starter feed intake within 30 d of age, average daily starter feed intake within 30 d of age, duration of ruminating behavior at 25 and 30 d of age, and duration of eating the bedding at 25 and 30 d of age were negatively correlated with AFR. Overall, to the best of our knowledge, this is the first study that has analyzed the correlation between AFR and other indicators. We found that earlier AFR was associated with shorter duration of non-nutritive oral behavior, longer durations of rumination and eating the bedding, and higher feed intake by 30 d of age.

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“…Our daily MY heritabilities ranged from 0.131 to 0.345. A similar range of fluctuations for daily heritabilities during lactation to ours, estimated based on TD, was obtained by Biassus et al [6] (0.14-0.31) and Cobuci et al [41] (0.15-0.31), and different ranges by Strabel and Misztal [23] (0.14-0.19), Costa et al [41] (0.27-0.42), Jamrozik and Schaffer [9] (0.40-0.59), Naderi [19] (0.45-0.60) and Moretti et al [42] (0.14-0.53). In the study by Nixon et al [20] using 24-h AMS data, the range of daily h 2 was narrower (0.14 to 0.20) than in our study.…”

Section: Discussionmentioning

confidence: 99%

Genetic Parameters Estimation of Milking Traits in Polish Holstein-Friesians Based on Automatic Milking System Data

Aerts

Piwczyński

Ghiasi

et al. 2021

Animals

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The automatic milking system (AMS) provides a large amount of information characterizing the course of each milking cow, which is not available in the conventional system. The aim of our study was to estimate heritability and genetic correlations for milk yield (MY), milking frequency (MF), and speed (MS) for 1713 Polish Holstein-Friesian primiparous cows milked in barns with an AMS. Daily heritability indicators estimated using second-order Legendre polynomials and Random Regression Models showed high variation during lactation, ranging 0.131–0.345 for MY, 0.153–0.322 for MF, and 0.336–0.493 for MS. The rates of genetic correlation between traits ranged: 0.561–0.929 for MY-MF, (−0.255)−0.090 for MF-MS, (−0.174)−0.020 for MY-MS. It is possible to carry out effective selection for milking speed, which provides an opportunity to increase the number of cows per milking robot, and thus increase the profitability of production in the herd. The results proved that selection for milk yield and daily milking frequency is also feasible. The research showed a high, positive genetic correlation between milking frequency and milk yield, which allows us to conclude that preferring breeding cows with a natural tendency to frequent visits to the milking robot should indirectly improve the genetic basis of milking.

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Heritability and genetic correlations between rumination time and production traits in Holstein dairy cows during different lactation phases

Cited by 21 publications

References 27 publications

Mitigation of greenhouse gases in dairy cattle via genetic selection: 1. Genetic parameters of direct methane using noninvasive methods and proxies of methane

Mitigation of greenhouse gases in dairy cattle via genetic selection: 1. Genetic parameters of direct methane using noninvasive methods and proxies of methane

Development of ruminating behavior in Holstein calves between birth and 30 days of age

Genetic Parameters Estimation of Milking Traits in Polish Holstein-Friesians Based on Automatic Milking System Data

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