EFFECT OF HERD, AGE, PARITY AND STAGE OF LACTATION ON MILK PRODUCTION TRAITS IN INDIGENOUS BORGOU CATTLE BREED IN BENIN.
Journal Title: International Journal of Advanced Research (IJAR) - Year 2018, Vol 6, Issue 5
Abstract
Borgou cattle breed represent more than 50 % of cattle population in Benin. However, there is very little data on the variation of their major milk components. The aim of this study was to assess the effect of herd, age, parity and stage of lactation on milk production traits in Borgou cattle breed. A total of 95 Borgou cows in lactation were included in the study and the contents of major milk components were determined using MilkoScan FT 6000 Series mid-range infrared Fourier transform infrared-based spectrometers. Results showed that, differences in test-day milk, protein and fat yields (P<0.01), milk urea nitrogen % (P<0.001) and lactose % (P<0.05) were observed between herds. The Borgou cows of 3-5 years old presented higher test-day fat yield (44.32 vs 33.95 g, P<0.05) and higher protein yields (34.63 vs 30.05 g, P<0.05) than the Borgou cows of more than 5 years old. The cows on second parity presented higher test-day milk (1.12 kg; P<0.05) and protein yields (38.14 g, P<0.05) than cows on first and third or more parity. However, the lactation stage did not show significant effect on milk production traits in Borgou cattle breed (P>0.05). The test-day milk yield showed negative correlation with protein content (-0.233, P<0.05) and positive correlations with test-day fat yield (0.676, P<0.001) and test-day protein yield (0.809, P<0.001). The fat content showed positive and moderate correlations (P<0.001) with protein content (0.495) and negative correlation with lactose content (-0.379). The findings from this study will be taken into consideration when designing a breeding program to improve milk production traits in indigenous Borgou cattle breed in Benin.
Authors and Affiliations
Isidore Houaga, Anne W. T. Muigai, Chakirath F. A. Salifou
Keywords
Related Articles
- EP ID EP295835
- DOI 10.21474/IJAR01/7011
- Views 91
- Downloads 0
IMAGE CLASSIFICATION USING MACHINE LEARNING TECHNIQUES.
Plant species classification using leaf samples is a challenging and important problem to solve. This paper introduces a new dataset of sixteen samples each of one-hundred plant species; and describes a method designed t...
CROWDFUNDING IN INDIA: AN EMPIRICAL STUDY.
Crowdfunding is a method of acquiring project funding, by soliciting contributions from a large group of people typically via internet or through social networking websites like Facebook, Tumblr, LinkedIn, Twitter or cro...
ADVANTAGES OF PRACTICING PEER ASSISTED LEARNING AMONG UNDERGRADUATE DENTAL COLLEGES OF BANGLADESH.
Objective：Peer assisted learning (PAL) is a common feature of medical education. PAL in the clinical setting, a complex learning environment, requires fresh evaluation. Socio-cultural theory is proposed as a means to un...
SELECTIVE BUNDLE RECONSTRUCTION IN PARTIAL ANTERIOR CRUCIATE LIGAMENT TEARS.
Study Design: prospective non-randomized clinical study. Background Context:Diagnosis and treatment of partial ACL tear in young patients present a difficult challenge. It is based on clinical examination, radiological a...
FLOOD FORECASTING USING TRANSBOUNDARY DATA WITH THE FUZZY INFERENCE SYSTEM: THE MARITZA (MERIC) RIVER.
In the present study, in order to predict the current flow of the Kirişhane station (Turkey) from the transboundary data of Plovdiv and Svilengrad stations (Bulgaria), four different models (M1‒M4) were developed by usin...