A 13-Year Retrospective Study of the Beef and Dairy Cattle Losses at Neudamm Farm in the Khomas Region of Namibia

Kandiwa, Erick; Madzingira, Oscar; Mushonga, Borden; Samkange, Alaster; Bishi, Alec S.; Nyoni, N.

doi:10.5455/ajvs.270379

Cited by 8 publications

(10 citation statements)

References 27 publications

(66 reference statements)

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“…In this study, cattle losses indicated a worrisome occurrence in all farm types (derived thresholds >9 times the imposed thresholds). Mortality rate on commercial herds at an average of 3.4% (range 0-11.5%) was consistent with an average of 3.5% cattle losses in another commercial herd in Namibia over a 13 year period [28]. These figures are similar to cattle losses (average 3.9%) at 25 beef farms in New Zealand, where the feasibility of categorisation thresholds used in this study was verified [29].…”

Section: Discussionsupporting

confidence: 78%

“…Setting welfare thresholds for any measures should reflect the significance of that trait to the welfare of animals and not necessarily according to the status quo. A good example was the mortality rate that varies in extensive beef systems with the type of production system, the location, and herd management [27,28]. In this study, cattle losses indicated a worrisome occurrence in all farm types (derived thresholds >9 times the imposed thresholds).…”

Section: Discussionmentioning

confidence: 73%

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Assessing Extensive Semi-Arid Rangeland Beef Cow-Calf Welfare in Namibia. Part 2: Categorisation and scoring of welfare assessment measures

Kaurivi¹,

Laven²,

Parkinson³

et al. 2020

Preprint

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The study aimed to develop standards for a welfare assessment protocol, by validating potential categorisation thresholds for assessment of beef farms in various beef cow-calf production systems in Namibia. Forty measures combined from a New Zealand-based protocol plus Namibia-specific measures, were applied on 55 beef farms (17 commercial farms, 20 semi-commercial and 18 communal village farms) during pregnancy testing, and a questionnaire guided interview. The categorised measures on a 3-point welfare score of 0: good 1: marginal and 2: poor/unacceptable welfare were subsequently compared with derivation of thresholds based upon the poorest 15% and best 50% of herds for each measure. Overall combined thresholds of continuous measures across the 3 farm types, showed 10/22 measures that posed welfare compromise across Namibia, where commercial farms had 4/22 measures and semi-commercial and communal village farms had 12/22 and 11/22 respectively with high thresholds. Most measures-imposed thresholds were retained because of significant importance to welfare of animals and preventiveness of the traits, while leniency was given to adjust good feeding and mortality measures to signify periods of drought. Handling measures (fearful, falling/lying) and abrasions thresholds were adjusted to reflect the temporary stress caused by infrequent cattle handling, and faulty yard designs/design and possible cattle breed influence on handling. Hence, the country needs prioritised investigation of underlying contributing factors and remediation to reduce the high thresholds.

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Section: Discussionsupporting

confidence: 78%

Section: Discussionmentioning

confidence: 73%

Assessing Extensive Semi-Arid Rangeland Beef Cow-Calf Welfare in Namibia. Part 2: Categorisation and scoring of welfare assessment measures

Kaurivi¹,

Laven²,

Parkinson³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Although infertility was not determined in this study, previous work undertaken at the same institution has reported a case of persistent corpus luteum in an Afrikaner cow (Mushonga et al 2017a) and cases of dystocia in these breeds (Kandiwa et al 2017).…”

Section: Discussionmentioning

confidence: 65%

“…Heat tolerance has been reported to be an important adaptation conferring superior fertility in Bos indicus over Bos taurus breeds in arid and semi-arid eco-climatic regions (Nava-Trujillo et al 2005). Studies previously conducted from Neudamm farm have reported that Neudamm farm temperatures have been rising as high as 33°C in summer in the last 15 years (Kandiwa et al 2017).…”

Section: Discussionmentioning

confidence: 99%

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Conception rates and calving intervals of different beef breeds at a farm in the semi-arid region of Namibia

Samkange

Kandiwa

Mushonga

et al. 2019

Trop Anim Health Prod

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Morbidity and Mortality Analysis for Risk-based Pricing in Cattle Insurance

Doss

Tiwari

2022

Asia-Pacific Journal of Risk and Insurance

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Morbidity and Mortality have also been a reason for concern for the insurers as increased morbidity and mortality contribute to a higher cost of claims including claim frequency. Currently, there are only two rating factors (Age and types of cattle) being adopted by the insurers while determining the premium rates and there is no risk-based pricing adopted for Cattle Insurance in India. The main objective of this paper is to identify the important rating factors influencing the mortality and morbidity trends among different cattle types in India. Secondly, there is a need to examine whether the mortality and morbidity trends vary across different parameters like animal type, breeds, age, gender, agro-climatic zone, types of formers/animal owners, etc. If it varies, then to find out the degree of variations and also measure the impact of these rating factors on cattle mortality. This paper focuses on the analysis of the morbidity and mortality of cattle across different types of cattle, breeds, age groups, gender, and different agro-climatic regions, etc. Further, it also examines the differences in cattle management practices; particularly the frequency and the quantity of feed, types, and quality of feed (nutritional value) given, animal healthcare management, exposure to catastrophic risk hazards, etc., with a view to developing risk-based pricing for cattle insurance. This would help insurers to understand the changes in cattle mortality and morbid trends and also build a comprehensive mortality table across different types and breeds of cattle. This would also immensely help the insurers in determining risk-based premium rates among different types of animals, their breeds, geographic regions, customer types, etc. which would enable in developing sustainable cattle insurance portfolio in the Indian insurance market. The output of the analysis can also be used by the insurers to develop index-based livestock insurance as well as parametric insurance.

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A 13-Year Retrospective Study of the Beef and Dairy Cattle Losses at Neudamm Farm in the Khomas Region of Namibia

Cited by 8 publications

References 27 publications

Assessing Extensive Semi-Arid Rangeland Beef Cow-Calf Welfare in Namibia. Part 2: Categorisation and scoring of welfare assessment measures

Assessing Extensive Semi-Arid Rangeland Beef Cow-Calf Welfare in Namibia. Part 2: Categorisation and scoring of welfare assessment measures

Conception rates and calving intervals of different beef breeds at a farm in the semi-arid region of Namibia

Morbidity and Mortality Analysis for Risk-based Pricing in Cattle Insurance

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