Relationship between climatic variables and the variation in bulk tank milk composition using canonical correlation analysis

Stürmer, Morgana; Busanello, Marcos; Velho, João Pedro; Heck, Vanessa Isabel; Haygert-Velho, Ione Maria Pereira

doi:10.1007/s00484-018-1566-7

Cited by 16 publications

(6 citation statements)

References 32 publications

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“…Finally, THI showed a direct association with SR (0.68 to 0.78) and WS (0.37 to 0.53). Similar direct associations between AT, SR, and THI and inverse relationship between maximum AT, Medium RH, and SR are reported in other studies (Jara et al 2016;Stürmer et al 2018).…”

Section: Resultssupporting

confidence: 89%

Influence of climatic conditions on tympanic temperature and milk production in grazing cows

Vélez-Terranova

Molina

Sánchez

et al. 2021

JABB

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Vasconcelos et al 2020). Animal's body temperature is traditionally estimated through rectal and vaginal measurements; however, alternative methods like tympanic temperatures (TT) also constitute a reliable measure since some studies reported no statistical difference with rectal temperatures (Sellier et al 2014;Shu et al 2021) and high correlation with vaginal temperature (r = 0.77; Bergen and Kennedy, 2000). The differences associated with the anatomical sampling point and its response time were also validated in other studies (Scharf et al 2011;Sellier et al 2014;Godyń et al 2019). TT is an attractive alternative measure Abstract The present study aimed to analyze large volumes of tympanic temperature (TT) data to identify its use as a physiological indicator of climatic conditions and its relationship with milk production in grazing cows under tropical lowland conditions. Three dairy farms and 21 multiparous early lactation cows were included in the study. Seven animals were equipped with tympanic temperature wireless sensors within each farm, and permanent information was collected hourly for 22 days on average. Ambient temperature (AT), relative humidity (RH), wind speed (WS), precipitation (PP), and THI information were obtained from meteorological stations located close to each farm. Statistical analyses included Spearman correlations and random coefficient regression models (P < 0.05). TT presented moderate and significant correlations with AT (0.35 to 0.49), SR (0.25 to 0.32), THI (0.35 to 0.49), and RH (-0.35 to -0.49). Climatic variables like AT, PP, SR, and WS were the most contributing factors to TT prediction (R 2 =0.42 to 0.86). Grazing dairy cows in tropical scenarios accumulate heat during the day and dissipate it at nighttime, although higher producing animals deal with more problems to reach thermal homeostasis. Correlations between TT and daily milk production varied according to animal yield; however, higher TT values were related to the most productive cows. The effect of TT on milk production prediction was not conclusive among farms, possibly by animal management or others characteristics of the systems. TT determination through remote sensors allows a reliable diagnosis of the physiological temperature response to climatic conditions.

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Section: Resultssupporting

confidence: 89%

Influence of climatic conditions on tympanic temperature and milk production in grazing cows

Vélez-Terranova

Molina

Sánchez

et al. 2021

JABB

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“…Although average values of milk urea nitrogen (12.80%) were verified in the two rural properties, the minimum value of 2.58% and the maximum value of 25.12% are noteworthy for their range. This range is probably due to variation in consumption of food, as food consumptions is known to be quite variable dairy cows (NRC, 2001), and to the changes in diet according to the seasons (Milani et al, 2015;Stürmer et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

Production and composition of milk per Holstein and Jersey cow from two farms in northwest Rio Grande do Sul

Calgaro

Fioresi

Velho

et al. 2020

Rev. bras. saúde prod. anim.

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The aim of the present study was to monitor cow milk quality and composition in two farms in the Noroeste Rio-grandense mesoregion, located in the municipalities of Palmeira das Missões and Pinhal - RS. Both herds were mixed, with animals of the Holstein (70%) and Jersey (30%) breeds. The following overall parameters were evaluated: body condition score (BCS), udder dirtiness, and calving order, and the following milk composition factors were measured: total dry extract (TDE), defatted dry extract (DDE), milk lactose, fat, and protein contents, casein, milk urea nitrogen (MUN), and somatic cell count (SCC). Multivariate statistical analysis was performed, and four factors were identified representing combinations of the measured variables. The first factor comprised negative relationships between milk production and cow breed, milk fat content, and milk protein content. The second factor comprised the positive relationships between lactation days and body condition score and milk protein content. The third factor represented the negative relationships between milk lactose content and SCC score, calving order, and BCS. The fourth factor was composed of the positive relationship between delivery order and udder dirtiness. Cluster analysis revealed that individual cows could be categorized into three groups. Monitoring the breed, calving order, body condition score, lactation days, milk production, fat, protein, and lactose contents, somatic cell counts, and udder dirtiness in cows allows greater control of the herd, allowing potential shortcomings to be rectified quickly and economic losses to production to be minimized.

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“…In other words, a significant pairwise correlation does not warrant its participation in the true global structure that governs the relationship between the two domains [ 40 , 41 ]. Likewise, an insignificant pairwise correlation does not necessarily mean that it does not contribute to the true global structure [ 42 ].…”

Section: Introductionmentioning

confidence: 99%

A robust multivariate structure of interindividual covariation between psychosocial characteristics and arousal responses to visual narratives

et al. 2022

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People experience the same event but do not feel the same way. Such individual differences in emotion response are believed to be far greater than those in any other mental functions. Thus, to understand what makes people individuals, it is important to identify the systematic structures of individual differences in emotion response and elucidate how such structures relate to what aspects of psychological characteristics. Reflecting this importance, many studies have attempted to relate emotions to psychological characteristics such as personality traits, psychosocial states, and pathological symptoms across individuals. However, systematic and global structures that govern the across-individual covariation between the domain of emotion responses and that of psychological characteristics have been rarely explored previously, which limits our understanding of the relationship between individual differences in emotion response and psychological characteristics. To overcome this limitation, we acquired high-dimensional data sets in both emotion-response (8 measures) and psychological-characteristic (68 measures) domains from the same pool of individuals (86 undergraduate or graduate students) and carried out the canonical correlation analysis in conjunction with the principal component analysis on those data sets. For each participant, the emotion-response measures were quantified by regressing affective-rating responses to visual narrative stimuli onto the across-participant average responses to those stimuli, while the psychological-characteristic measures were acquired from 19 different psychometric questionnaires grounded in personality, psychosocial-factor, and clinical-problem taxonomies. We found a single robust mode of population covariation, particularly between the ’accuracy’ and ’sensitivity’ measures of arousal responses in the emotion domain and many ‘psychosocial’ measures in the psychological-characteristics domain. This mode of covariation suggests that individuals characterized with positive social assets tend to show polarized arousal responses to life events.

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Relationship between climatic variables and the variation in bulk tank milk composition using canonical correlation analysis

Cited by 16 publications

References 32 publications

Influence of climatic conditions on tympanic temperature and milk production in grazing cows

Influence of climatic conditions on tympanic temperature and milk production in grazing cows

Production and composition of milk per Holstein and Jersey cow from two farms in northwest Rio Grande do Sul

A robust multivariate structure of interindividual covariation between psychosocial characteristics and arousal responses to visual narratives

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