JDS Communications, Год журнала: 2024, Номер unknown
Опубликована: Дек. 1, 2024
Язык: Английский
Journal of Animal Science, Год журнала: 2023, Номер 101
Опубликована: Янв. 1, 2023
Abstract Precision livestock farming (PLF) offers a strategic solution to enhance the management capacity of large animal groups, while simultaneously improving profitability, efficiency, and minimizing environmental impacts associated with production systems. Additionally, PLF contributes optimizing ability manage monitor welfare providing solutions global grand challenges posed by growing demand for products ensuring food security. By enabling return “per animal” approach harnessing technological advancements, enables cost-effective, individualized care animals through enhanced monitoring control capabilities within complex Meeting nutritional requirements population exponentially approaching ten billion people will likely require density proteins decades come. The development application digital technologies are critical facilitate responsible sustainable intensification over next several maximize potential benefits PLF. Real-time continuous each is expected enable more precise accurate tracking health well-being. Importantly, digitalization agriculture provide collateral auditability in value chains assuaging concerns labor shortages. Despite notable advances technology adoption, number currently limit viability these state-of-the-art technologies. systems which enabled autonomous can be rapidly an Internet Things (where appropriate) closed-loop management. In this paper, we analyze multilayered network sensors, actuators, communication, networking, analytics used PLF, focusing on dairy as illustrative example. We explore current state-of-the-art, identify key shortcomings, propose bridge gap between agriculture. examine implications advancements robotics, artificial intelligence health, security, animals.
Язык: Английский
Процитировано
19
Livestock Science, Год журнала: 2024, Номер 282, С. 105435 - 105435
Опубликована: Фев. 29, 2024
Язык: Английский
Процитировано
7
Animals, Год журнала: 2025, Номер 15(5), С. 667 - 667
Опубликована: Фев. 25, 2025
The analysis of resilience indicators was based on daily milk yields recorded from 3347 lactations 3080 Holstein cows located 10 farms between 2022 and 2024. Six used an automatic milking system. A random regression function with a fourth-degree Legendre polynomial to predict the lactation curve. were natural log-transformed variance (LnVar), lag-1 autocorrelation (r-auto), skewness (skew) yield (DMY) deviations predicted curve, as well DMY (Var). single-step genomic prediction method (ssGBLUP) for evaluation. total 9845 genotyped animals 36,839 SNPs included. Heritability estimates low (0.02-0.13). strongest genetic correlation (0.87) found LnVar Var. r-auto skew also strong but negative (-0.73). Resilience showed per positive fat protein contents. fertility two may be due evaluation period (50th-150th day lactation) being when are most often bred after calving, decrease in production accompany significant oestrus. associations health traits (clinical mastitis, claw health) weak mostly favourable.
Язык: Английский
Процитировано
0
JDS Communications, Год журнала: 2025, Номер unknown
Опубликована: Март 1, 2025
Процитировано
0
Journal of Dairy Science, Год журнала: 2025, Номер unknown
Опубликована: Апрель 1, 2025
The adoption of automated milking systems (AMS) across worldwide dairy farms has grown considerably over the last few decades. Automated contribute to reducing labor costs, increasing milk performance, improving cow welfare, and generating large-scale data on a routine basis that can be used for deriving novel traits breeding purposes. Therefore, primary objectives this study were (1) derive behavioral from AMS assess their phenotypic variability during lactation in American Holstein cattle, (2) estimate variance components genetic parameters these traits. Daily records 5,645 cows, collected at 36 robotic stations between 2018 2021, analyzed. Evaluated included average time (AMT, min), total (TMT, interval milkings (INT, h), number attempted visits (NoV), successful entries within (NSE), percentage (PSM, %), preference score (PCS, unit). Variance estimated using repeatability models with restricted maximum likelihood method. heritability estimates similar 2 most traits: 0.46 versus 0.46, 0.27 0.28, 0.08 0.10, 0.10 0.11, 0.05 0.06, AMT, TMT, INT, NoV, NSE, PSM, respectively. However, notable difference was observed PCS, 0.09 0.24 depending model fitted. SE ranged 0.001 0.03. Repeatability 0.74 0.71 (AMT), 0.52 0.49 (TMT), 0.34 (INT), 0.29 0.25 0.30 0.20 0.18 (PSM), 0.55 0.53 (PCS). Positive correlations trait pairs AMT-PSM (0.38-0.35), INT-PSM (0.71-0.64), INT-PCS (0.50-0.40), PSM-PCS (0.37), whereas other unfavorable or near zero. All related efficiency evaluated found heritable, suggesting inclusion selection schemes could welfare AMS. Future studies will random regression correlation relevant programs.
Язык: Английский
Процитировано
0
Frontiers in Veterinary Science, Год журнала: 2023, Номер 10
Опубликована: Сен. 13, 2023
The need for food products of animal origin is increasing worldwide. Satisfying these needs in a way that has minimal impact on the environment requires cutting-edge technologies and techniques to enhance genetic quality cattle. Heat stress (HS), particular, affecting dairy cattle with frequency severity. As future climatic challenges become more evident, identifying cows are tolerant HS will be important breeding herds better adapted environmental conditions supporting sustainability farming. While research into genetics context effect global warming gaining momentum, specific genomic regions involved heat tolerance still not well documented. Advances omics information, QTL mapping, transcriptome profiling genome-wide association studies (GWAS) have identified variants associated HS. Such could provide deeper insights basis response make an contribution tolerance, which help offset adverse effects Overall, there great interest candidate genes proportion variation cattle, this area currently very active This review provides comprehensive information pertaining some notable recent architecture particular emphasis Since effective programs require optimal knowledge impaired immunity health complications caused by HS, underlying mechanisms modulates immune renders animals susceptible various disorders explained. In addition, strategies relieve improve their welfare while maintaining milk production discussed.
Язык: Английский
Процитировано
10
Journal of Dairy Science, Год журнала: 2024, Номер 107(6), С. 3780 - 3793
Опубликована: Фев. 2, 2024
In recent years, research in animal breeding has increasingly focused on the topic of resilience, which is expected to continue future due need for high-yielding, healthy, and robust animals. this context, an established approach calculation resilience indicator traits with time series analyses. Examples are variance autocorrelation daily milk yield dairy cows. We applied methodology German cow population. Data from 3 breeds Holstein, Fleckvieh Brown Swiss were obtained, included 13949 lactations 36 farms state Baden-Württemberg Germany working automatic milking systems. Using data, absolute yields, deviations between observed relative proportions yields relation lactation performance calculated. used these data as phenotypes our statistical estimated a heritability 0.047 heritabilities 0.026 0.183 variance-based traits. Furthermore, significant breed differences could be observed, tendency better Swiss. The can both, genetic environmental factors. A high value trait indicates low resilience. Performance positively correlated calculated but they negatively indicators yields. Thus, considered different While based affected by level, corrected level also showed higher heritabilities. seem more suitable practical use. Further studies conducted calculate correlations traits, functional health
Язык: Английский
Процитировано
3
animal, Год журнала: 2024, Номер 18(8), С. 101248 - 101248
Опубликована: Июль 11, 2024
Resilience is commonly defined as the ability of an individual to be minimally affected or quickly recover from a challenge. Improvement animals' resilience vital component sustainable livestock production but has so far been hampered by lack established quantitative measures. Several studies proposed that summary statistics deviations animal's observed performance its target trajectory (i.e., in absence challenge) may constitute suitable indicators. However, these statistical indicators require further validation. The aim this study was obtain better understanding their discriminate between different response types and dependence on characteristics animals, data recording features. To purpose, milk-yield trajectories dairy cattle differing resilience, without when exposed short-term challenge, were simulated. Individuals categorised into three broad (with variation within each type): Fully Resilient which experience no systematic perturbation milk yield after Non-Resilient animals whose permanently deviates challenge Partially temporary perturbations recover. following previously suggested literature validated with respect sensitivity various features characteristics: logarithm mean squares (LMS), variance (LV), skewness (S), lag-1 autocorrelation (AC1), area under curve (AUC) deviations. Furthermore, methods for estimating unknown evaluated. All considered could distinguish type either other two known estimated using parametric method. When comparison Non-Resilient, only LMS, LV, AUC correctly rank types, provided observation period at least twice long period. Skewness general reliable indicator, although all showed correct dependency amplitude duration perturbations. In addition, except AC1 robust lower frequency measurements. general, (quantile repeated regression) combined (LMS, LV AUC) found most techniques ranking terms resilience.
Язык: Английский
Процитировано
2
Journal of Dairy Science, Год журнала: 2023, Номер 107(2), С. 1035 - 1053
Опубликована: Сен. 29, 2023
Breeding more resilient animals will benefit the dairy cattle industry in long term, especially as global climate changes become severe. Previous studies have reported genetic parameters for various milk yield-based resilience indicators, but underlying genomic background of these traits remain unknown. In this study, we conducted genome-wide association 62,029 single nucleotide polymorphisms (SNPs) with 4 including weighted occurrence frequency (wfPert) and accumulated losses (dPert) yield perturbations, log-transformed variance (LnVar) lag-1 autocorrelation (rauto) daily residuals. These variables were previously derived from 5.6 million records 21,350 lactations (parities 1 to 3) 11,787 North American Holstein cows. The average (ADMY) throughout lactation was also included compare shared indicators yield. differential first revealed by significant regions identified significantly-enriched biological pathways positional candidate genes, which confirmed difference among indicators. Interestingly, functional analyses genes suggested that regulation intestinal homeostasis is most likely affecting based on variability Based Mendelian randomization multiple instrumental SNPs, further found an unfavorable causal ADMY LnVar. conclusion, evaluated are genetically different there associations some evaluated. addition providing insights into molecular mechanisms yield, study indicates need developing selection indexes combining indicator taking account their relationship breeding cattle.
Язык: Английский
Процитировано
6
Journal of Dairy Science, Год журнала: 2023, Номер 107(5), С. 3062 - 3079
Опубликована: Дек. 4, 2023
Selection for resilience indicator (RIND) traits in Holstein cattle is becoming an important breeding objective as the worldwide population expected to be exposed increased environmental stressors due both climate change and changing industry standards. However, genetic correlations between RIND productivity (PIND) traits, which are already being selected have most economic value, often unfavorable. As a result, it necessary fully understand these relationships when incorporating novel into selection indices, so that informed decisions can made optimize groups of traits. In past 2 decades, there been many estimates RINDs published literature, albeit small populations. To provide valuable pooled summary estimates, random-effects meta-analysis was conducted heritability correlation PIND cattle. total, 926 9 27 along with 362 (PIND x traits) were collected. Resilience grouped following sub-groups: Metabolic Diseases, Hoof Health, Udder Fertility, Heat Tolerance, Other. Pooled ranged from 0.201 ± 0.05 (energy corrected milk) 0.377 0.06 (protein content) while 0.032 0.02 (incidence lameness, incidence milk fever) 0.497 (measures body weight). −0.360 0.25 content vs. acetone concentration) 0.535 0.72 fat-to-protein ratio concentration). Additionally, out 243 potential could reported, only 40 had enough implement model. Our results confirmed interactions complex, all should evaluated indices. This study provides reference breeders looking incorporate
Язык: Английский
Процитировано
6