Study of some Factors Influencing the Occurrence of Subclinical Mastitis in Dairy Cattle in Western Algeria

The aim was to estimate the influence of genetic merit (£PIN95) and level of concentrate feeding (Cgrp) on predicted total dry matter intake (tDMI) of individual cows, using records collected from commercial farms. The method described by Wicks & Leaver (2000) was used to estimate individual daily dry matter intakes from seven farms, totalling 4282 monthly records over a two-year period. The method was based on milk production records supplemented by body condition scores and height at withers, which were used to calculated the ME requirements of individual animals. All the records were collected, from autumn and winter (July to March) calving cows during the housed period (August to March).

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The Potential Analysis of Dairy Cattle Farm Development at Dairy Farmer Group in West Ungaran District, Semarang Region

Journal of Agricultural Studies ◽

10.5296/jas.v7i1.14520 ◽

2019 ◽

Vol 7 (1) ◽

pp. 128

Author(s):

Iven Patu Sirappa ◽

Sunarso Sunarso ◽

Marthen P. Sirappa

Keyword(s):

Dairy Cattle ◽

Swot Analysis ◽

Total Population ◽

Dairy Farm ◽

Dairy Farmers ◽

The West ◽

Cattle Farm ◽

Factors Influencing ◽

Development Analysis

The objective of the study was to determine the potency of dairy cattle development, famers income, factors influencing the income of dairy farmers in the West Ungaran District. This study was conducted from February to April 2016. The determination of the sample villages was using purposive based Livestock Farmer Group (LFG) and the total population of dairy cattle. Further, respondents were determined by using census method for 47 people; those were 13 respondents of “Mardi Mulyo” LFG members, 7 respondents of “Sumber Hasil” LFG members, and 27 respondents of “Ngudi Makmur” LFG members. This study used regression, and SWOT analysis. The results of this study showed the multiple regression analysis showed that milk production significantly influences the income of dairy farmers. Farmers income in “Mardi Mulyo”, “Sumber Hasil” and “Ngudi Makmur” group in a row during one month arrived at IDR 703,292/had, IDR 2.157.250/had and IDR 1,649,395/had, respectively. In addition, SWOT analysis showed a total score of internal and external scores of 3.61 and 2.73. Based on the results of business development analysis of dairy cattle in West Ungaran District, it could be concluded that the dairy farm in category IV, stability strategy and coordinate points are in quadrant IV.

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EFFECT OF LOW LEVEL LASER ACUPUNCTURE ON SUBCLINICAL MASTITIS AND REPRODUCTIVE DISORDERS IN DAIRY CATTLE

LASER THERAPY ◽

10.5978/islsm.94-or-10 ◽

1994 ◽

Vol 6 (3) ◽

pp. 157-160 ◽

Cited By ~ 1

Author(s):

Yusaka Oda ◽

Jezie A. Acorda ◽

Tsutomu Kameya ◽

Haruo Yamada

Keyword(s):

Dairy Cattle ◽

Subclinical Mastitis ◽

Laser Acupuncture ◽

Reproductive Disorders ◽

Low Level ◽

Low Level Laser ◽

Level Laser

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Application of the Support Vector Machine to Predict Subclinical Mastitis in Dairy Cattle

The Scientific World JOURNAL ◽

10.1155/2013/603897 ◽

2013 ◽

Vol 2013 ◽

pp. 1-9 ◽

Cited By ~ 8

Author(s):

Nazira Mammadova ◽

İsmail Keskin

Keyword(s):

Support Vector Machine ◽

Dairy Cattle ◽

Somatic Cell ◽

Control Period ◽

Subclinical Mastitis ◽

Clinical Mastitis ◽

Support Vector ◽

Cross Sectional ◽

Somatic Cell Counts ◽

Cell Counts

This study presented a potentially useful alternative approach to ascertain the presence of subclinical and clinical mastitis in dairy cows using support vector machine (SVM) techniques. The proposed method detected mastitis in a cross-sectional representative sample of Holstein dairy cattle milked using an automatic milking system. The study used such suspected indicators of mastitis as lactation rank, milk yield, electrical conductivity, average milking duration, and control season as input data. The output variable was somatic cell counts obtained from milk samples collected monthly throughout the 15 months of the control period. Cattle were judged to be healthy or infected based on those somatic cell counts. This study undertook a detailed scrutiny of the SVM methodology, constructing and examining a model which showed 89% sensitivity, 92% specificity, and 50% error in mastitis detection.

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