Adoption and Profitability of Breeding Technologies on United States Dairy Farms

Khanal, Aditya R.; Gillespie, Jeffrey M.

doi:10.22004/ag.econ.98574

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…The farmers idea about AI varies in accordance to the farmers characteristics and farm structure (Howley et al, 2012). The adoption of breeding technology is also affected and influence by educational level and age of the farmers (Khanal & Gillespie, 2011), in which the findings of our study confirmed this finding as well. Several studies also confirmed that there are several factors that influence the adoptability of AI breeding technology and most of these factors are the level of education of the farmers, family size, distance to AI station and occupation in agriculture or animal husbandry (Mushonga et al, 2017;Patra et al, 2014).…”

Section: Discussionsupporting

confidence: 83%

“…The relationship of these variables is very highly significant at α=0.01 level of significance. Other research findings reported that the adoption of breeding technology is related to various factors such as educational level of farmers, and age (Khanal & Gillespie, 2011). The more educated the farmers are it is more likely to adopt advanced breeding technologies such as AI, sexed semen and embryo transplants.…”

Section: Discussionmentioning

confidence: 99%

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Farmers Perceptions on Artificial Insemination (AI): A Mixed Method Design

Valdez,

Amba,

Jumalon Jr.

et al. 2023

ejtas

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This study investigated the perceptions of Meranao farmers in Lanao del Sur province about reproductive biotechnology, specifically AI. A cross-sectional descriptive survey employing a mixed-method design of a qualitative-quantitative methodological triangulation was employed in the study involving 203 participants (farmers). The selection of the participants was based on purposive sampling and snowball techniques. Furthermore, the principle of saturation was also applied in the collection of data. The collected data was analyzed using descriptive, correlational statistics, and variance through SPSS version 16. Findings revealed that Artificial Insemination (AI) is not usually known and practice by the livestock raisers in Lanao del Sur. Most of the farmers has no knowledge about AI and it is not promoted in their municipality. Farmers adoptions of AI is influence by different factors such as their lack of knowledge resulted to some misconceptions about. However, findings also showed that they are willing to adopt AI as long as they are well educated about it. The farmers profile such as age, gender, educational attainment, livestock raise and years of experience in raising livestock significantly influence to their perceptions on AI. It is also shown that there was a significant difference on the perceptions of the farmers towards their awareness and acceptability of AI, and their perceptions about the status and prospect of AI in the province. Based on the findings, it shows that the farmers have no knowledge about AI but they are willing to be trained and adopt the technology as long as they will know about it. Farmers perceptions towards AI in terms of awareness, acceptability, status and prospects are directly influenced by their profile such as age, education, livestock raise, number of livestock and the years of experience in rearing livestock. This implies that, if they will be exposed to trainings and seminars about AI they can learn the technology and be willing to adopt. As such, this study designed a training program to educate the farmers about AI.

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Section: Discussionsupporting

confidence: 83%

Section: Discussionmentioning

confidence: 99%

Farmers Perceptions on Artificial Insemination (AI): A Mixed Method Design

Valdez,

Amba,

Jumalon Jr.

et al. 2023

ejtas

View full text Add to dashboard Cite

show abstract

Risk Attitudes, Social Interactions and the Adoption of Genotyping in Dairy Production

Yu¹,

Hailu²,

Cao³

2014

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Factors Affecting Farmers’ Adoption of Agricultural Innovations: A Panel Data Analysis of the Use of Artificial Insemination among Dairy Farmers in Ireland

Howley¹,

Donoghue²,

Heanue³

2012

JAS

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The use of artificial insemination (AI) has been of enormous economic benefit for dairy farmers in many countries such as Ireland through the genetic improvement of their stock. Despite these benefits a significant proportion of dairy farmers continue to use natural mating over AI. Previous research has found that the cost of semen, the cost of insemination and success rate all affect the probability of farmers using AI. Using a nationally representative panel dataset, this paper examined if there were any farm or farmer characteristics that affected the probability of dairy farmers using AI. Modelling the farm factors driving the uptake of AI enables the understanding of the differences between various types of landowners which should in turn better equip policymakers to design policies and programs that efficiently promote good reproductive management. The results in this paper suggest that there is significant heterogeneity among farm households in relation to the uptake of AI with both characteristics of the farmer as well as structural farm factors all found to significantly affect the probability of a farmer adopting this agricultural innovation.

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Adoption and Profitability of Breeding Technologies on United States Dairy Farms

Cited by 4 publications

References 32 publications

Farmers Perceptions on Artificial Insemination (AI): A Mixed Method Design

Farmers Perceptions on Artificial Insemination (AI): A Mixed Method Design

Risk Attitudes, Social Interactions and the Adoption of Genotyping in Dairy Production

Factors Affecting Farmers’ Adoption of Agricultural Innovations: A Panel Data Analysis of the Use of Artificial Insemination among Dairy Farmers in Ireland

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