scholarly journals EVALUATION OF FRIESIAN HOLSTEIN GRADE COWS FERTILITY BASED THE LEVEL OF MILK UREA

2017 ◽  
Vol 11 (1) ◽  
pp. 23-26
Author(s):  
Diah Tri Widayati ◽  
Yustina Yuni Suranindyah ◽  
Laelatul Rahmah ◽  
Budi Prasetyo Widyobroto
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Hormone Level ◽  
Holstein Cows ◽  
Calving Interval ◽  
Blood Samples ◽  
Urea Level ◽  
Milk Urea ◽  
Days Open ◽  
The Relationship

This study was conducted to evaluate fertility grade of Friesian Holstein cows based on milk urea levels. A number of eight cows which fulfill the criteria of not pregnant and in second to sixth lactation, produced milk of 2.5 liters/day, and body weight ranging from 400-450 kg were used in this research. The cows were given fodder that consisted of 30 kg of forage and 10 kg of a mixture of concentrate (pollard, pulp out, and molasses), in the morning and afternoon. Milk and blood samples were taken once a week for five weeks in the morning before fed. Milk urea levels were measured using the urea FS (DiaSys) and blood samples were tested using enzyme linked immuno-sorbent assay (ELISA) with the progesterone hormone kit (DRG, Germany). The variables measured were pregnancy rate, service per conception (S/C), days open, and progesterone levels. Reproduction and milk urea levels data were analyzed by linear regression to determine the relationship between two variables. Progesterone data were analyzed descriptively. The results showed that the average calving interval, days open, and S/C were 607.5±170.27 days; 341.25±187.65 days; and 2.41±2.32 days, respectively. The average of milk urea levels was 14.16±2.55 mg/dL. Regression analysis showed a significant effect (P<0.05) and negative correlation between milk urea level and S/C. The average of non-pregnant progesterone hormone level was 12.04±7.13 ng/mL. In conclusion, the fertility grade of Friesian Holstein cows decreased when the milk urea level at 14.16 mg/dL and non-pregnant progesterone at 12.04±7.13 ng/mL.

scholarly journals Effect of some factors on relationships between milk urea levels and cow fertility

2011 ◽  
Vol 54 (5) ◽  
pp. 468-476 ◽  
Author(s):  
A. Sawa ◽  
M. Bogucki ◽  
S. Krężel-Czopek
Keyword(s):  
Milk Production ◽  
Generalized Linear Model ◽  
Rest Period ◽  
Calving Interval ◽  
Lactation Period ◽  
Urea Level ◽  
Service Period ◽  
Milk Urea ◽  
Herd Milk ◽  
The Relationship

Abstract. The effect of some factors on relationships between milk urea levels and fertility of 19 028 cows was analysed. The generalized linear model (GLM) of the SAS package (SAS 2004) was used in the statistical calculations. The increase in milk urea concentration was found to increase calving interval (r=0.05, P≤0.01), rest period (r=0.07, P≤0.01), service period (r=0.01, P≤0.01) and the number of services per conception (r=0.02, P≤0.01). Therefore, dairy breeders may find it advantageous to monitor urea concentrations, which could help to improve cow fertility. Herd milk production level, age of cow and lactation period were the factors that had the greatest effect on the relationship between milk urea levels and cow fertility parameters. The relationship between milk urea level and fertility was stronger in cows from herds with >6 000 kg milk yield, in first-calf heifers and in cows at 3 months of lactation.

PSVI-8 Meta-regression Analysis to Determine the Relationship Between Growing Pig Body Weight and Variation

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 218-219
Author(s):  
Andres Fernando T Russi ◽  
Mike D Tokach ◽  
Jason C Woodworth ◽  
Joel M DeRouchey ◽  
Robert D Goodband ◽  
...  
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Sample Size ◽  
Polynomial Regression ◽  
Data Sets ◽  
Regression Equations ◽  
Prediction Equations ◽  
Data Set ◽  
Rate Of Increase ◽  
The Relationship

Abstract The swine industry has been constantly evolving to select animals with improved performance traits and to minimize variation in body weight (BW) in order to meet packer specifications. Therefore, understanding variation presents an opportunity for producers to find strategies that could help reduce, manage, or deal with variation of pigs in a barn. A systematic review and meta-analysis was conducted by collecting data from multiple studies and available data sets in order to develop prediction equations for coefficient of variation (CV) and standard deviation (SD) as a function of BW. Information regarding BW variation from 16 papers was recorded to provide approximately 204 data points. Together, these data included 117,268 individually weighed pigs with a sample size that ranged from 104 to 4,108 pigs. A random-effects model with study used as a random effect was developed. Observations were weighted using sample size as an estimate for precision on the analysis, where larger data sets accounted for increased accuracy in the model. Regression equations were developed using the nlme package of R to determine the relationship between BW and its variation. Polynomial regression analysis was conducted separately for each variation measurement. When CV was reported in the data set, SD was calculated and vice versa. The resulting prediction equations were: CV (%) = 20.04 – 0.135 × (BW) + 0.00043 × (BW)2, R2=0.79; SD = 0.41 + 0.150 × (BW) - 0.00041 × (BW)2, R2 = 0.95. These equations suggest that there is evidence for a decreasing quadratic relationship between mean CV of a population and BW of pigs whereby the rate of decrease is smaller as mean pig BW increases from birth to market. Conversely, the rate of increase of SD of a population of pigs is smaller as mean pig BW increases from birth to market.

THE RELATIONSHIP BETWEEN SERUM TESTOSTERONE LEVELS, SEX AND TEAT-SEEKING ABILITY OF NEWBORN PIGLETS

1985 ◽  
Vol 65 (3) ◽  
pp. 627-630 ◽  
Author(s):  
L. A. BATE ◽  
R. R. HACKER ◽  
M. B. KREUKNIET
Keyword(s):  
Body Weight ◽  
Detrimental Effect ◽  
Serum Testosterone ◽  
Maternal Serum ◽  
Blood Samples ◽  
Male And Female ◽  
Newborn Piglets ◽  
Baseline Levels ◽  
Highly Correlated ◽  
The Relationship

Blood samples were collected from five pregnant sows from day 111 postbreeding to farrowing and from their piglets at regular intervals between birth and 48 h. The time between birth and first suckling (BTS) was recorded for each piglet. Maternal serum testosterone (T) levels were detectable only at the beginning of parturition and were highly correlated (r = 0.83) with litter BTS. Serum T levels of male and female piglets were similar at birth. In male piglets the T levels increased to a peak 2 h after birth and decreased gradually thereafter. In contrast, the T levels of female piglets declined rapidly after birth to baseline levels. The BTS of female piglets was shorter than that of male piglets. Body weight of males was higher than that of females and was influenced by litter size. These results suggest that the higher serum T levels of male piglets may have a detrimental effect on their teat-seeking ability. Key words: Serum testosterone, sex, piglets, teat-seeking ability, sow

5 A SINGLE NUCLEOTIDE POLYMORPHISM IN COQ9 AFFECTS MITOCHONDRIAL FUNCTION, BODY WEIGHT CHANGE AFTER CALVING, AND FERTILITY IN HOLSTEIN COWS

2016 ◽  
Vol 28 (2) ◽  
pp. 132
Author(s):  
M. S. Ortega ◽  
S. Wohlgemuth ◽  
D. J. Null ◽  
J. B. Cole ◽  
P. J. Hansen
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Body Weight ◽  
Electron Transport ◽  
Transport System ◽  
Respiratory Function ◽  
Electron Transport System ◽  
Holstein Cows ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Days Open

A single nucleotide polymorphism for COQ9 has been associated with genetic merit for fertility in 2 separate populations of Holstein cattle, with the A allele associated with higher fertility. COQ9 is necessary for the synthesis of coenzyme Q10, a component of the electron transport system of the mitochondria. We evaluated the effect of COQ9 genotype on the electron transport system, body weight changes after calving, and phenotypic measurements of fertility and production in Holstein cows. The single nucleotide polymorphism in COQ9 was genotyped using a Sequenom MassARRAY® (Sequenom Inc., San Diego, CA, USA). In the first study, cows ≥200 days in milk were selected for analysis of mitochondrial oxygen consumption [COQ9 genotype: AA (n = 12), AG (n = 12), and GG (n = 12)]. Peripheral blood mononuclear cells were isolated and respiration assessed using the Oroboros O2k high-resolution respirometer to evaluate routine respiration, R; leak respiration, L; and electron transport system capacity, E. There were additive effects of genotype on respiratory function (P < 0.05): R was 3.4 ± 0.3, 4.7 ± 0.3, and 4.9 ± 0.3 pmol of O2/s per 106 cells, L was 1.9 ± 0.3, 2.7 ± 0.3, and 3.0 ± 0.3 pmol of O2/s per 106 cells, and the uncoupling control ratio (E/R) was 3.4 ± 0.2, 2.5 ± 0.2, and 2.1 ± 0.2 for AA, AG, and GG, respectively. In a second study, body weight was recorded for AA (n = 106), AG (n = 223), and GG (n = 86) cows during the first 20 weeks postpartum for 2 consecutive lactations. In both lactations, body weight postpartum was affected by genotype × time postpartum (P < 0.001), with cows of the AA genotype experiencing less weight loss than AG (second lactation only) and GG cows. Days open, services per conception, and 305-day milk yield (MY) for the first 2 lactations were evaluated in a population of 2273 Holstein cows grouped based on predicted transmitting ability for daughter pregnancy rate: ≤–1 (n = 1220) and ≥1.5 (n = 1053). Continuous data were analysed using the MIXED procedure of SAS, and categorical data were analysed using the GLIMMIX procedure. The model included farm, genotype, and the numerator relationship matrix to account for (co)variances among animals. Additive and dominance effects were estimated. Genotype affected each trait (P < 0.05). Values for AA, AG, and GG for the first lactation were as follows: days open, 123.6 ± 3.5, 134.3 ± 2.8, and 139.4 ± 3.5 days; services per conception, 2.4 ± 0.1, 2.5 ± 0.1, and 2.7 ± 0.1; and MY, 11 278 ± 65, 11 416 ± 51, and 11 478 ± 65 kg. For the second lactation COQ9 affected (P < 0.05) days open (133.2 ± 4.7, 142.9 ± 3.1, and 147.9 ± 3.9 days) and services per conception (2.5 ± 0.1, 2.6 ± 0.8, and 2.7 ± 0.1), but there was no effect (P = 0.63) on MY (11 486 ± 66, 11 502 ± 52, and 11 526 ± 57 kg). Results indicate that the same genotype associated with genetic merit for fertility (AA) is associated with more efficient respiratory function and less body-weight loss postpartum. Moreover, the favourable genotype was associated with higher phenotypic measurements of fertility and lower MY. Results indicate the single nucleotide polymorphism in COQ9 could be a potential marker for fertility and that allelic variants may affect fertility by altering respiratory efficiency. Study was supported by USDA AFRI 2013–68004–20365.

scholarly journals ANALISIS KORELASI DAN REGRESI ANTARA UKURAN-UKURAN TUBUH DENGAN BOBOT BADAN SAPI BRAHMAN CROSS (BX) BETINA DI KPT MAJU SEJAHTERA DESA TRIMULYO, KECAMATAN TANJUNG BINTANG, KABUPATEN LAMPUNG SELATAN

2021 ◽  
Vol 5 (2) ◽  
pp. 99-104
Author(s):  
Obet Yanto ◽  
Muhammad Dima Iqbal Hamdani ◽  
Dian Kurniawati ◽  
Sulastri Sulastri
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Body Size ◽  
Multiple Regression Analysis ◽  
Body Length ◽  
Positive Relationship ◽  
Regression Equation ◽  
Body Measurements ◽  
Body Measurement ◽  
The Relationship

This study aimed to determine the Correlation and the regression equation between body measurements and body weight of Brahman Cross (BX) Cow in KPT Maju Sejahtera Trimulyo village, Tanjung Bintang District, Lampung Selatan Regency. This research was conducted in July 2020. The data obtained were analyzed using simple and multiple regression analysis using the help of the Excel program. The material used in this study were 32 Brahman Cross (BX) Cow aged 2-3 years. The results of this study indicated that the average of Body Weight (BW), Chest Circumference (CC), Body Length (BL), and Shoulder height (SH) were 472.66 � 53.59 kg, 179.95 � 7, 95 cm, 132.49 � 6.39 cm, 127.95 � 3.08 cm, respectively. The correlation value between CC, BL, SH with BB were 0.764, 0.448, and 0.551, respectively. These results indicated that CC, BL, SH, have a positive relationship with BW. The regression equation resulting from the relationship between body weight and body size CC, BL, SH to BW with the value of determination (R2) and significance (P?0.05) was 0.607 (60.7%) with the regression equation BW = -674.003 + 4.314 CC + 1.247 BL + 1.602 SH. Keywords: Brahman Cross, Body Measurement, Correlation and Regression

scholarly journals Review of the relationship between milk urea nitrogen and days in milk, parity, and monthly temperature mean in Iranian Holstein cows

2012 ◽  
Vol 95 (9) ◽  
pp. 5156-5163 ◽  
Author(s):  
F. Fatehi ◽  
A. Zali ◽  
M. Honarvar ◽  
M. Dehghan-banadaky ◽  
A.J. Young ◽  
...  
Keyword(s):  
Holstein Cows ◽  
Urea Nitrogen ◽  
Monthly Temperature ◽  
Milk Urea ◽  
The Relationship ◽  
Milk Urea Nitrogen

scholarly journals Prediction of Lumbar Disc Bulging and Protrusion by Anthropometric Factors and Disc Morphology

2021 ◽  
Vol 18 (5) ◽  
pp. 2521
Author(s):  
Isabella Yu-Ju Hung ◽  
Tiffany Ting-Fang Shih ◽  
Bang-Bin Chen ◽  
Yue Leon Guo
Keyword(s):  
Logistic Regression ◽  
Body Weight ◽  
Regression Analysis ◽  
Lumbar Disc ◽  
Body Height ◽  
Area Under The Curve ◽  
Disc Height ◽  
Mri Scans ◽  
The Relationship ◽  
Better Than

The relationship between reduced disc height and disc bulging and/or protrusion has been controversial. The purposes of this study were to examine the relationship between disc morphology and disc bulging and protrusion and to establish a model for predicting disc bulging and protrusion. This is a retrospective study. A total of 452 MRI scans from a spine study were analysed, 210 (46.5%) were men. Logistic regression analysis was applied to identify the association between anthropometric factors, disc morphology factors, and outcome. Model 1 was constructed using anthropometric variables to investigate the capacity for predicting outcomes. Model 2 was constructed using anthropometric and disc morphology variables. Age, body weight, body height, disc height, and disc depth were significantly associated with outcome. The area under the curve (AUC) statistics of Model 2 were significantly better than those of Model 1 at the L3-L4 and L4-L5 levels but not at the L5-S1 level. The results showed an association between disc morphology and disc bulging and/or protrusion at the L3-L4, L4-L5, and L5-S1 levels. The model utilizing both anthropometric factors and disc morphology factors had a better capacity to predict disc bulging and/or protrusion compared with the model using only anthropometric factors.

scholarly journals Predicting body weight from body measurements of pre-pubertal Ayrshire heifers

1996 ◽  
Vol 5 (1) ◽  
pp. 17-23 ◽  
Author(s):  
Päivi Mäntysaari
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Actual Body ◽  
Body Length ◽  
The Body ◽  
Body Measurements ◽  
Actual Body Weight ◽  
Feeding Level ◽  
Highly Correlated ◽  
The Relationship

The relationship between heart girth, wither height, body length and body weight in 3- to 9.5-month-old pre-pubertal Finnish Ayrshire heifers gaining 600-650 g/d was analysed (experiment I). Regression analysis showed that heart girth was the trait most highly correlated to body weight (R2 = 0.969). Including body length or wither height as a second term in the regression, increased R2 values only slightly. When the relationship between heart girth and body weight was used to predict the body weight of heifers reared at two feeding levels (experiment II), the precision of prediction was affected by the plane of nutrition. Actual body weight for a given heart girth was slightly higher on the high than on the low feeding level. It is, nevertheless, concluded that the equations presented in the paper can be used to estimate accurately the body weight of pre-pubertal (95-140-cm heart girth) Ayrshire heifers gaining 550-700 g/d.

scholarly journals Genetic relationship of lactation persistency with milk yield, somatic cell score, reproductive traits, and longevity in Slovak Holstein cattle

2016 ◽  
Vol 59 (3) ◽  
pp. 329-335 ◽  
Author(s):  
Eva Strapáková ◽  
Juraj Candrák ◽  
Peter Strapák
Keyword(s):  
Somatic Cell ◽  
Milk Yield ◽  
Reproductive Traits ◽  
Somatic Cell Score ◽  
Calving Interval ◽  
Days Open ◽  
Selection For ◽  
Selected Traits ◽  
Relationship Of ◽  
The Relationship

Abstract. The objective of this study was to estimate the breeding values (BVs) of lactation persistency, the test day of milk yield, the somatic cell score, reproductive traits (calving interval, days open), longevity in Slovak Holstein dairy cattle. BVs were used for the detection of relationships among the persistency of lactation and other selected traits. Data for the estimation of BVs of milk production and somatic cell score were collected from 855 240 cows. BVs for reproductive traits were estimated for 352 712 cows and for longevity for 528 362 cows. The highest correlations were confirmed between the BV of persistency and the BV of test day milk yield at 100, 200, and 305 days (−0.88, −0.65, and −0.61). Correlations between the BV of lactation persistency and the BV of somatic cell score at day 305 or the BV of somatic cell score persistency were favorable: −0.05 and −0.12, respectively. The relationship between the BV of persistency and the BV of the calving interval or the BV of days open was 0.11 and 0.10 respectively. The selection for the persistency of lactation may not improve longevity because there is no relation between the BV of persistency and the BV of longevity (rg = 0.06).

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