Effects of genotype, parity, season and their interactions on milk yield in crossbred dairy cattle

2021 ◽  
Author(s):  
Karabi Barua ◽  
Nasima Akter ◽  
Mahabub Alam ◽  
Md. Saiful Bari ◽  
Md. Nahid Sultan ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Milk Yield ◽  
Crossbred Dairy Cattle

scholarly journals Estimation of Genetic Effects on Milk Yield and Constituent Traits in Crossbred Dairy Cattle

1982 ◽  
Vol 65 (5) ◽  
pp. 848-856 ◽  
Author(s):  
E.J. Rincon ◽  
E.C. Schermerhorn ◽  
R.E. Mc Dowell ◽  
B.T. Mc Daniel
Keyword(s):  
Dairy Cattle ◽  
Milk Yield ◽  
Genetic Effects ◽  
Crossbred Dairy Cattle

scholarly journals ↵Assessment on Milk Yield and Reproductive Performances of Crossbred Dairy Cattle in Selected Dairy Production Systems of Central Highlands of Ethiopia 

2021 ◽  
Author(s):  
Kiros Abebe ◽  
Tilaye Demissie
Keyword(s):  
Dairy Cattle ◽  
Milk Yield ◽  
Urban Areas ◽  
Production Systems ◽  
Dairy Farm ◽  
Cross Sectional ◽  
Age At First Calving ◽  
Dairy Heifers ◽  
Crossbred Dairy Cattle ◽  
Central Highlands

Background: Productive and reproductive performances are the most important parameters in the Ehiopian dairy sector. The objective of the current study was to assess milk yield, reproductive performances of crossbred dairy cattle and occurrence of reproductive health problems and veterinary services provider/s. Methods: A cross-sectional study using semi-structured questionnaire was used to collect information from 160 randomly selected dairy farm owners found in urban and peri-urban areas of Assela, Bishoftu, Holetta and Sululta of the central highlands of Ethiopia. Result: The higher average daily milk yields were 11.7 and 11.2 litres in urban and peri-urban Bishoftu. The average age at first service of crossbred dairy heifers was 18.8 months in urban and 19.1 months in peri-urban Bishoftu, respectively. The average age at first calving of crossbred dairy heifers was 27.8 months in urban Bishoftu and 28.1 months in peri-urban Bishoftu areas. The longest average age at first service (29.3 months) and age at first calving (38.3 months) were in peri-urban Assela. The number of services per conception was 1.4 in urban Assela and 1.3 in peri-urban Assela and these were shorter than the 1.65 from urban Bishoftu and the 1.85 of peri-urban Bishoftu areas. The average 168.0 days calving to conception interval from peri-urban Assela was the longest calving to conception interval in this study. The average calving intervals 14.9 and 13.9 months of peri-urban Assela and Sululta were relatively longer than the respective urban areas.

Characterization of Lactation Curve Patterns using Non-linear Models in Crossbred Dairy Cattle

2021 ◽  
Author(s):  
Tassew Mohammed Ali ◽  
Raman Narang ◽  
P.P. Dubey ◽  
Simarjeet Kaur
Keyword(s):  
Dairy Cattle ◽  
Milk Yield ◽  
Linear Models ◽  
Biological Efficiency ◽  
Lactation Curve ◽  
Non Linear ◽  
Crossbred Dairy Cattle ◽  
Daily Milk Yield ◽  
Curve Patterns ◽  
Daily Milk

Background: Lactation curve patterns are currently integrated in dairy cow’s management software. Lactation curve modeling is useful for monitoring individual yields for diet planning, determining optimum strategies for insemination and genetic evaluation. It also helps for predicting expected missing values on field records and gives concise summary of biological efficiency and persistency of dairy cows.Methods: The study was aimed to characterize the lactation curve pattern for crossbred dairy cattle using different non-linear models. During the period 1991 to 2018, daily milk yield (DMY) consisted of 281698 records of 750 crossbred dairy cows maintained at Livestock Farms. GADVASU, Ludhiana, were collected for the study. Different non-linear models viz. exponential decline function (EDF), parabolic exponential model (PEM), inverse polynomial model (IPM), gamma-type function (GTF), mixed log function (MLF) and Ali and Schaeffer model (ASF) were used for the analysis. The model(s) that best fit and describe the curve characteristics was selected on the basis of coefficient of determination (R2), coefficient of variation (CV), Akaike information criterion (AIC) and mean square error (MSE).Result: The study clearly revealed that the PRM gave highest fit to DMY data with R2, MSE, AIC and CV values of 98.10%, 0.087, -743.31 and 2.37%, respectively. The IPM had also best fitted the observed DMY data with highest R2 (98.05%), lower MSE (0.089), low AIC (-735.8972) and lower CV (2.40%) values. The fitting of observed DMY data with predicted DMY were also found to be higher in the MLF (R2= 96.46%, MSE= 0.159, AIC= -558.16 and CV= 3.21%) and GTF (R2= 95.85%, MSE= 0.190, AIC= -505.24 and CV= 3.50%), whilst the EDF and PEM Models depicted relatively low fit to the DMY data when compared with the other non-linear models. However, IPM and GTF models can be used for accurate prediction of daily milk yield in the crossbred cattle population because they were typical standard lactation curves.

scholarly journals Effect of Fenugreek Seed Supplementation on Milk Yield and its Composition of Crossbred Dairy Cattle

2020 ◽  
Vol 9 (9) ◽  
pp. 676-680
Author(s):  
P. Revathi ◽  
D. Anandha Prakash Singh ◽  
V. Ramesh Saravana Kumar ◽  
A. K. Thiruvenkadan ◽  
N. Bharathy
Keyword(s):  
Dairy Cattle ◽  
Milk Yield ◽  
Fenugreek Seed ◽  
Crossbred Dairy Cattle

scholarly journals Effect of genetic European taurine ancestry on milk yield of Ankole-Holstein crossbred dairy cattle in mixed smallholders system of Burundi highlands

2017 ◽  
Vol 48 (5) ◽  
pp. 544-550 ◽  
Author(s):  
J. Manirakiza ◽  
G. Hatungumukama ◽  
S. Thévenon ◽  
M. Gautier ◽  
B. Besbes ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Milk Yield ◽  
Crossbred Dairy Cattle
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