The response to genetic merit for milk production in dairy cows differs by cow body weight

Berry, D.P.; Evans, R.D.

doi:10.3168/jdsc.2021-0115

Cited by 7 publications

(3 citation statements)

References 18 publications

(25 reference statements)

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“…Therefore, this study proposed the generalized linear mixed model (GLMM) to analyze the relationship between average daily RR, VST, and daily milk yield, and the relationship between daily cold stress duration, milk production and cow behavioral characteristics. The GLMM is an extended form of generalized linear model (GLM) and linear mixed model (LMM; Berry and Evans, 2022) that is thought to provide unique advantages when analyzing repeated measures data (Gibbons et al, 2010). And the maximum likelihood method was used to estimate the parameters of the GLMM.…”

Section: Data Processing and Analysismentioning

confidence: 99%

Research and application of a new multilevel fuzzy comprehensive evaluation method for cold stress in dairy cows

Zhang

et al. 2022

Journal of Dairy Science

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Effective and comprehensive evaluation of cold stress is critical for healthy dairy cow breeding in the winter. Previous studies on dairy cow cold stress have considered thermal environmental factors but not physiological factors or air quality. Therefore, this study aimed to propose a multilevel fuzzy comprehensive evaluation (FCE) method for cold stress in dairy cows based on the analytic hierarchy process (AHP) and a genetic algorithm (GA). First, the AHP was used to construct an evaluation index system for cold stress in dairy cows from 3 dimensions: thermal environment (temperature, relative humidity, wind speed, and illumination), physiological factors (respiratory rate, body surface temperature), and air quality [NH 3 , CO 2 , inhalable particulate matter (PM 10 )]. Second, the consistency test of the judgment matrix was transformed into a nonlinear constrained optimization problem and solved using the GA. Next, based on fuzzy set theory, the comment set and membership function were established to classify the degree of cold stress into 5 levels: none, mild, moderate, high, and extreme. Then, the degree of cold stress in cows was obtained using multilevel fuzzy comprehensive judgment. To investigate the effect of illumination indicators on cold stress in dairy cows, 24 prelactation cows from the south and north sides were selected for a 117-d comprehensive cold stress evaluation. The results showed that the mean mild cold stress durations were 605.3 h (25.22 d) and 725.5 h (30.23 d) and the moderate cold stress durations were 67.2 h (2.8 d) and 96 h (4.0 d) on the south and north sides, respectively. Simultaneously, generalized linear mixed model showed that there were significant correlations between the daily cold stress duration and milk yield, feeding time, lying time, and active steps in the cows on both sides. This method can reasonably indicate cow cold stress conditions and better guide cold protection practices in actual production.

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Section: Data Processing and Analysismentioning

confidence: 99%

Research and application of a new multilevel fuzzy comprehensive evaluation method for cold stress in dairy cows

Zhang

et al. 2022

Journal of Dairy Science

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“…Genetics companies for the dairy and beef sector typically have genetic breeding programs for bulls, where they are selected based on breed characteristics and individual desired traits. Examples of these traits include milk production traits, fat index, reproduction, and longevity [ 14 ]. Studs not only breed and maintain male animals, but also collect and sell the semen (which may or may not be sexed by flow cytometry).…”

Section: Methodsmentioning

confidence: 99%

The Economic Burden of Chromosome Translocations and the Benefits of Enhanced Screening for Cattle Breeding

Lewis

Canedo-Ribeiro

Rathje

et al. 2022

Animals

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The cattle breeding industry, through both of its derivatives (dairy and beef), provides 81% of milk and 22% of meat required globally. If a breeding bull is sub-fertile, this impacts herd conception and birth rates, and it is generally accepted that having a proactive genetic screening programme can prevent further losses. Chromosome translocations are the leading genetic cause of infertility in livestock and, in cattle, this extends beyond the classical 1:29 to other Robertsonian translocations (RobTs) and to reciprocal translocations (RECTs). The incidence of both (collectively termed RTs) varies between breeds and herds; however, we estimate that RECTs are, most likely, at least twice as common as RobTs. The purpose of this study was to develop an industry economic model to estimate the financial impact of an RT event at the herd level. If we assume a conservative incidence rate of 0.4% for Rob1:29 with each one impacting the conception rate by 5%, we calculate that actively screening for and removing a Rob1:29 bull could benefit an impacted herd by GBP 2.3 million (approx. USD 2.8 million) over six years. A recently updated screening protocol developed in our lab for all RTs, however (with a projected combined incidence of 1.2%, impacting conception rates by 10%), could benefit an impacted herd by GBP 7.2 million (nearly USD 9 million) for each RT found. For an industry worth USD 827.4 billion (dairy) and USD 467.7 billion (beef), expanding knowledge on incidence and further dissection of the potential costs (financial and environmental) from RTs is essential to prevent further losses.

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“…There is an imperfect association between BCS and BW that may be influenced by factors such as rumen fill, stage of pregnancy and lactation, and udder fill as well as composition and location of labile tissue pools. Body weight is also associated with parity, with heifers entering the lactation herd typically at around 80% of their mature BW ( Berry et al, 2011 ; Berry and Evans, 2022 ). Different feeding systems are also reported to influence BCS and BW, with herds from TMR systems typically having higher total BCS and BW than those from pasture-based systems ( Washburn et al, 2002 ; Roche et al, 2007 ).…”

mentioning

confidence: 99%

Holstein dairy cows lose body condition score and gain body weight with increasing parity in both pasture-based and total mixed ration herds

et al. 2022

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Graphical Abstract Summary: Body condition scoring (BCS) and body weight (BW) measurements are associated with health and reproductive efficiencies of cows. We used raw data sets from 16 studies to evaluate associations of parity and feeding system (pasture-based or total mixed ration) with BCS at precalving and peak milk, and change in BCS, and BW at peak milk. With increasing parity, there is a general decrease in BCS and increase in BW regardless of feeding system, with most young cows having low BW and high BCS and older cows having high BW but low BCS.

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The response to genetic merit for milk production in dairy cows differs by cow body weight

Abstract: Highlights• Heavier cows yield more milk, fat, and protein.• The association between genetic merit for milk yield and actual yield differs by BW.• The association between genetic merit for milk composition and actual composition does not differ by BW.

Cited by 7 publications

References 18 publications

Research and application of a new multilevel fuzzy comprehensive evaluation method for cold stress in dairy cows

Research and application of a new multilevel fuzzy comprehensive evaluation method for cold stress in dairy cows

The Economic Burden of Chromosome Translocations and the Benefits of Enhanced Screening for Cattle Breeding

Holstein dairy cows lose body condition score and gain body weight with increasing parity in both pasture-based and total mixed ration herds

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