The relationship estimates amongst milk yield and milk composition characteristics of Bunaji and Friesian × Bunaji cows

Alphonsus, C.

doi:10.5897/ajb11.2940

Cited by 4 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Increased milk production was paralleled with a decreased milk fat content which confirms the negative relationship between milk fat content and milk yield as stated by Alphonsus and Essien (2012). Deceased milk fat content in SB cows, at both 150 and 300 mL/d compared with Control, may be due to reduction of acetate to propionate portion in the rumen.…”

Section: Cow Performancesupporting

confidence: 83%

Influence of Oral Administration ofSalix BabylonicaExtract on Milk Production and Composition in Dairy Cows

Salem

Kholif

Elghandour

et al. 2014

Italian Journal of Animal Science

View full text Add to dashboard Cite

A 3×3 Latin Square design was used to evaluate effects of 0, 150 and 300 mL of Salix babylonica (SB) extract mixed into the diet on daily milk production and composition in cows. Three Brown Swiss dairy cows (420±30.3 kg body weight), at late lactation (220±25.1 d in milk), were fed a diet with a restricted amount of concentrate and oat hay ad libitum twice daily in equal amounts. The SB extract was mixed daily with a small amount of concentrate and fed to the cows. In vitro gas production of the diet fed to the cows was recorded at 2, 4, 6, 8, 10, 12, 24, 48, and 72 h of incubation with 0, 0.6, 1.2 and 1.8 mL SB/g DM. Intake of oat hay was increased (P<0.05) by 11.5% with the SB addition at 150 mL/d. Milk production was also increased with extract addition at 150 or 300 mL/d by about 13.3 and 8.9% respectively, compared with control. Milk fat was lower (P<0.05) with SB addition, while milk protein and lactose were not affected by the extract addition. Milk efficiency was improved (P<0.05) with extract addition versus control. In vitro gas production of the diet increased (P<0.05) dramatically with increasing levels of extract addition with a short lag time and high rate of gas production per hour vs control. Addition of SB extract at 150 mL/d improved milk production by 13.3%, while it decreased its fat content and improved milk efficiency.

show abstract

Section: Cow Performancesupporting

confidence: 83%

Influence of Oral Administration ofSalix BabylonicaExtract on Milk Production and Composition in Dairy Cows

Salem

Kholif

Elghandour

et al. 2014

Italian Journal of Animal Science

View full text Add to dashboard Cite

show abstract

“…Peak production is one of the most important factors influencing lactation yield (Němečková et al, 2015). There is also a positive association between the length of lactation and production (Alphonsus and Essien, 2012).…”

Section: Discussionmentioning

confidence: 91%

Comparative performance of dairy cows in low-input smallholder and high-input production systems in South Africa

Abin

Visser

Banga

2018

Trop Anim Health Prod

View full text Add to dashboard Cite

The aim of this study was to benchmark the performance of dairy cows in the low-input smallholder system against their counterparts in the high-input system, in South Africa. Data comprised of cow performance records from the national dairy recording scheme. Performance measures included production (305-day yields of milk, fat, and protein), lactation length, somatic cell count (SCC), and reproductive traits, represented by age at first calving (AFC) and calving interval (CI). Least squares means of each trait were compared between the two systems, and lactation curves for production traits and SCC were plotted for each production system. Mean yields of milk, fat, and protein were significantly (P < 0.05) lower in the smallholder (4097 ± 165, 174 ± 5.1, and 141 ± 4.5 respectively) compared to the high-input system (6921 ± 141, 298 ± 4.7, and 245 ± 4.1 respectively). Mean lactation length was significantly (P < 0.05) shorter for the smallholder (308 ± 15.1) than the high-input system (346 ± 12.8). Log-transformed somatic cell count (SCS) was, however, significantly (P < 0.05) higher in the smallholder (2.41 ± 0.01) relative to the high-input system (2.27 ± 0.01). Cows in high-input herds showed typical lactation curves, in contrast to the flat and low peaking curves obtained for the smallholder system. Cows on smallholder herds had their first calving significantly (P < 0.05) older (30 ± 0.5) than those in the high-input system (27 ± 0.5). There was, however, no significant difference (P < 0.05) in CI between the two systems. These results highlight large room for improvement of dairy cow performance in the smallholder system and could assist in decision-making aimed at improving the productivity of the South African dairy industry.

show abstract

“…Numerous authors reported the unfavourable seasonality of milk production (Ludwiczak et al, 2001;Matysik-Pejas, 2007). According to the studies conducted in Poland, a 10°C increase in outdoor temperature can be accompanied by a 1.0 L decrease in daily milk yield (Chaberski et al, 2012;Alphonsus and Essien, 2012). Since the warming of our climate is in all likelihood inevitable, increased vigilance is required to prevent heat stress effects in cows (Lipiński, 2012).…”

Section: Introductionmentioning

confidence: 99%

Neural prediction of cows milk yield according to environment temperature

Boniecki¹,

Lipinski²,

Koszela³

et al. 2013

Afr. J. Biotechnol.

View full text Add to dashboard Cite

Medium and maximum air temperatures around the milk cowsheds were measured and these empirical data were used to create a neural prediction model evaluating the cows' milk yield under varying thermal conditions. We found out that artificial neural networks were an effective tool supporting the process of short-term milk yield forecasting. An analysis of sensitivity to input variables performed for the generated neural model allowed for identifying the dominant input variable for the proposed neural model. The dominant variable was the maximum temperature of the day, a key risk factor of the heat stress in cows.

show abstract

The relationship estimates amongst milk yield and milk composition characteristics of Bunaji and Friesian × Bunaji cows

Cited by 4 publications

References 6 publications

Influence of Oral Administration ofSalix BabylonicaExtract on Milk Production and Composition in Dairy Cows

Influence of Oral Administration ofSalix BabylonicaExtract on Milk Production and Composition in Dairy Cows

Comparative performance of dairy cows in low-input smallholder and high-input production systems in South Africa

Neural prediction of cows milk yield according to environment temperature

Contact Info

Product

Resources

About