Effect Of Lamenss On Body Condition Score, Live Weight And Milk Yield Of Holstein Friesian Dairy Cattle

10.5580/2923 ◽  
2009 ◽  
Vol 6 (1) ◽  
Author(s):  
C. Valli ◽  
P. Anuradha

Background: Feed additives are being used to counteract production losses in lactating cattle arising due to heat stress. In this context a study was conducted to study the impact of supplementing ADDONTM - Rumen support on in vitro rumen fermentation, production and health of lactating cattle during summer. Methods: To a total mixed ration (TMR), ADDONTM Rumen support was supplemented at three levels viz., No ADDONTM -RS, ADDONTM -RS at 0.07g/100g TMR and ADDONTM -RS at 0.15 g/100g TMR and subjected to in vitro rumen fermentation studies using the Rumen Simulation Technique. Eighteen lactating dairy cattle at early lactation, were randomly divided into three treatment groups: T1 - No ADDONTM -RS, T2 - ADDONTM -RS at 7 g/animal/day and T3 - ADDONTM -RS at 15 g/animal/day and their body condition score, body weight, milk yield, fat and SNF content were studied during peak summer. Conclusion: Supplementation of ADDONTM -RS @ 0.15g/100g of TMR helped in regulating in vitro ruminal pH, significantly (p less than 0.05) reduced total gas and carbon dioxide production at 12 hours of incubation and methane production at 12 and 36 hours of incubation. ADDONTM -RS supplementation at both levels (0.07g/100g TMR and 0.15g/100g TMR) resulted in significant (p less than 0.05) increase in in vitro microbial biomass production at 12 hours of incubation. In spite of peak summer, ADDONTM -RS supplementation in lactating dairy cattle prevented changes in body condition score, weight loss and resulted in significantly (p less than 0.05) higher milk yield without compromising on milk fat and SNF content and decreased somatic cell count in milk and improved manure quality. 


2006 ◽  
Vol 73 (4) ◽  
pp. 487-491 ◽  
Author(s):  
Donagh P Berry ◽  
Kevin A Macdonald ◽  
John W Penno ◽  
John R Roche

The objective was to quantify the strength of the relationship between body condition score (BCS) and live weight (LW) in pasture-based Holstein-Friesian dairy cattle, and to determine the kg LW per unit BCS. A total of 26021 test-day records with information on both BCS (1–10 scale, where 1 is emaciated and 10 is obese) and LW across 1110 lactations from one research farm were used in the analysis. Correlation and regression analyses were used to determine the degree of association between BCS and LW in different parities, stages of the inter-calving interval and years. Correlations between BCS and LW were relatively consistent, with the mean correlation between BCS and LW across all data of 0·55 implying that differences in BCS explain approximately 30% of the variation in LW. Significantly different regressions of LW on BCS were present within stage of inter-calving interval by parity subclasses. Excluding calving, LW per unit BCS varied from 17 kg (early to mid lactation in parity 1) to 36 kg (early lactation in parity 4 and 5). However, LW per unit BCS was greatest at calving varying from 44 kg in first parity animals to 62 kg in second parity animals. On average, 1 BCS unit equated to 31 kg LW across all data.


Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1674
Author(s):  
Ilona Strączek ◽  
Krzysztof Młynek ◽  
Agata Danielewicz

A significant factor in improving the performance of dairy cows is their physiological ability to correct a negative energy balance (NEB). This study, using Simmental (SIM) and Holstein-Friesian (HF) cows, aimed to assess changes in NEB (non-esterified fatty acid; body condition score; and C16:0, C18:0, and C18:1) and its effect on the metabolic efficiency of the liver (β-hydroxybutyrate and urea). The effects of NEB on daily yield, production at peak lactation and its duration, and changes in selected milk components were assessed during complete lactation. Up to peak lactation, the loss of the body condition score was similar in both breeds. Subsequently, SIM cows more efficiently restored their BCS. HF cows reached peak lactation faster and with a higher milk yield, but they were less able to correct NEB. During lactation, their non-esterified fatty acid, β-hydroxybutyrate, C16:0, C18:0, C18:1, and urea levels were persistently higher, which may indicate less efficient liver function during NEB. The dynamics of NEB were linked to levels of leptin, which has anorectic effects. Its content was usually higher in HF cows and during intensive lactogenesis. An effective response to NEB may be exploited to improve the production and nutritional properties of milk. In the long term, it may extend dairy cows’ productive life and increase lifetime yield.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1414
Author(s):  
Ramūnas Antanaitis ◽  
Vida Juozaitienė ◽  
Dovilė Malašauskienė ◽  
Mindaugas Televičius ◽  
Mingaudas Urbutis ◽  
...  

The aim of the current study was to evaluate the relation of automatically determined body condition score (BCS) and inline biomarkers such as β-hydroxybutyrate (BHB), milk yield (MY), lactate dehydrogenase (LDH), and progesterone (mP4) with the pregnancy success of cows. The cows (n = 281) had 2.1 ± 0.1. lactations on average, were 151.6 ± 0.06 days postpartum, and were once tested with “Easy scan” ultrasound (IMV imaging, Scotland) at 30–35 d post-insemination. According to their reproductive status, cows were grouped into two groups: non-pregnant (n = 194 or 69.0% of cows) and pregnant (n = 87 or 31.0% of cows). Data concerning their BCS, mP4, MY, BHB, and LDH were collected each day from the day of insemination for 7 days. The BCS was collected with body condition score camera (DeLaval Inc., Tumba, Sweden); mP4, MY, BHB, and LDH were collected with the fully automated real-time analyzer Herd Navigator™ (Lattec I/S, Hillerød, Denmark) in combination with a DeLaval milking robot (DeLaval Inc., Tumba, Sweden). Of all the biomarkers, three differences between groups were significant. The body condition score (BCS) of the pregnant cows was higher (+0.49 score), the milk yield (MY) was lower (−4.36 kg), and milk progesterone in pregnant cows was (+6.11 ng/mL) higher compared to the group of non-pregnant cows (p < 0.001). The pregnancy status of the cows was associated with their BCS assessment (p < 0.001). We estimated that cows with BCS > 3.2 were 22 times more likely to have reproductive success than cows with BCS ≤ 3.2.


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