Deterministic simulations to determine the impacts of economic and non-economic breeding objectives on sustainable intensification of developing smallholder dairy farms

Kariuki, C.M.; Arendonk, J.A.M. van; Kahi, A.K.; Komen, Hans

doi:10.1016/j.livsci.2019.05.019

Cited by 3 publications

(3 citation statements)

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“…Furthermore, the high demand and the growing intensity of agriculture have been causing a series of changes in the production chain, with the aim of providing speed in the production processes [1]. Such pressure on land resources impacts not only on the agricultural sector, but also on the society and the environment [2].…”

Section: Introductionmentioning

confidence: 99%

“…As a result, sustainable development has roused the interest of practitioners and researchers from different fields of study and industries [1,2] specifically in terms of new product development [3], manufacturing industries [4], trade-offs between sustainable development goals [5], development of trading [6] and logistics services [7], innovation in new services [8] and customer service [9]. Sustainable development practices are a major challenge [10], because the inherent multidisciplinary nature of this issue requires integration and balance among environmental, social and economic dimensions [2].…”

Section: Introductionmentioning

confidence: 99%

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Driving Sustainability in Dairy Farming from a TBL Perspective: Insights from a Case Study in the West Region of Santa Catarina, Brazil

et al. 2020

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All companies in agribusiness supply chains need to be aware of the best use of available resources, which demands an integrated assessment of environmental, economic and social aspects, i.e., the Triple Bottom Line (TBL). Such analysis allows us to get a more balanced and complete understanding of the real performance of companies, supply chains and industries. Companies in the upstream of agribusinesses supply chains present some limitations, but can contribute significantly to the overall sustainability of the entire value chain. The objective of this research was to understand the role of the drivers of sustainability in dairy farming from a TBL perspective, such as assistance to producers and the value chain, and the use of better technology and management practices. A sample of 54 rural farms in the dairy supply chain of the western region of Santa Catarina, Brazil, was used to test four hypotheses about what can drive sustainability. Furthermore, first- and second-order structural equation models using SMART PLS software were used for the analysis of the data. The results obtained show that social sustainability is positively influenced by the use of good management practices, and the latter, as well as public policies, positively influence economic sustainability. Furthermore, it was found that improvements in production techniques positively influence environmental sustainability, and this is mostly influenced by the use of good management practices, and less so by policies directed at the supply chain. Finally, from the analysis of the second-order variable for sustainability, it was highlighted that the economic dimension prevails in the eyes of the farmers, as the main dimension of sustainability, and that environmental aspects are still neglected.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Driving Sustainability in Dairy Farming from a TBL Perspective: Insights from a Case Study in the West Region of Santa Catarina, Brazil

et al. 2020

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“…(Hawkins, 2019). Some publications focus on the effects of livestock genetics on farm results, see (Kariuki, 2019).…”

Section: Introductionmentioning

confidence: 99%

Economics of Dairy Farm: Simulation Study

Nedvědová¹,

Marek²,

Pozdílková³

et al. 2020

Proceedings of the 32nd European Modeling &Amp; Simulation Symposium (EMSS 2020)

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The aim of this paper is to estimate economic consequences of an LDA (Left displaced abomasum) treated cow. After a surgery to correct this displacement, cows had a lower average milk yield, lower reproduction characteristics, and consequently a lower number of lactation cycles, less calves, longer period between calving, compared to other cows. We will use breeding simulation with the help of a constructed function to describe the price aspects. Knowledge of analysis of diary milk-yield production, probability of survival, and ability to reproduce will be used. The Arena software will be used for the simulation. The main goal is to estimate the lifelong profit of an individual cow from a group of healthy cows and an individual cow from a group with LDA disease.

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A survey of Smallholder dairy cattle farmers in Tanzania: Farmer Demographic Characteristics and Basic Management Constraints

Ngou,

Laven,

Parkinson

et al. 2024

Preprint

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Background Since the 1980s, there has been a significant change in the population of smallholder dairy cattle farmers across Tanzania. Therefore, we lack demographic data on that population as well as information on the key constraints reducing productivity. This survey of smallholder dairy farmers across six regions of Tanzania aimed to provide demographic data and to identify those key constraints. Results Of the 301 households surveyed, 74% were headed by men, but in Njombe there was an equal number of women and men. Across all regions, the majority of household heads were aged between 41 to 60 years and had ≤ 10 years of experience as a smallholder dairy farmer. Dairying was the major source of income on 84% of households, ranging from 59–100%, across the six regions. Most respondents had primary education but had gone no further (55%); however, in Morogoro 68% of farmers had been in secondary/university education. Across four regions (Njombe, Mbeya, Kilimanjaro and Arusha), herd size of 3–4 animals was most common (32–50%); however, in Morogoro and Tanga most herds had ˃4 animals (66% and 78%, respectively). Zero-grazing was the most common grazing system (75%), but tethering was predominant (68%) in Mbeya. Across all regions natural pastures were the principal feed source. Across all respondents, cash purchase was the most common means of obtaining their first cattle beast (66%), although in Mbeya a gift from a relative/friend (49%) was the most common source., High input costs (93%), unavailability of feed (71%), lack of land (68%) and diseases (62%) were the most commonly identified constraints., while high breeding costs (96%), poor oestrus detection (89%), cows not displaying oestrus (79%) and lack of AI services (51%) were the key constraints to successful breeding. Conclusion Although there are significant common pints across all six regions in our study, demographic differences across the regions necessitate a regional approach to development. This approach needs to focus on who the farmers are in that region and what those farmers need rather than trying to implement the same solutions across Tanzania.

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Deterministic simulations to determine the impacts of economic and non-economic breeding objectives on sustainable intensification of developing smallholder dairy farms

Cited by 3 publications

References 45 publications

Driving Sustainability in Dairy Farming from a TBL Perspective: Insights from a Case Study in the West Region of Santa Catarina, Brazil

Driving Sustainability in Dairy Farming from a TBL Perspective: Insights from a Case Study in the West Region of Santa Catarina, Brazil

Economics of Dairy Farm: Simulation Study

A survey of Smallholder dairy cattle farmers in Tanzania: Farmer Demographic Characteristics and Basic Management Constraints

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