Estimating farmers' preferences in selection of indigenous chicken genetic resources using non-market attributes

Bett, Hillary K.; Bett, R.C.; Peters, Kurt J.; Kahi, A.K.; Bokelmann, Wolfgang

doi:10.1017/s2078633611000348

Cited by 22 publications

(24 citation statements)

References 53 publications

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“…This represents an alternative to the calculation of trait economic weights, which is sometimes difficult because of the poor quality of available data (Nielsen and Amer, 2007), and it is also a way of including the value of nonmarket traits in the economic valuation of livestock (Ouma et al, 2007;Bett et al, 2011). In developing countries, and to a lesser extent developed countries, farmer characteristics are thought to have a strong influence on farmers' preferences for improvements in traits, and therefore, Analyzing the heterogeneity of farmers' preferences for improvements in dairy cow traits using farmer typologies D. Martin-Collado ,* 1 T. J. Byrne ,* P. R. Amer ,* B. F. S. Santos ,* M. Axford , † and J. E. Pryce ‡ variables describing farmer characteristics are usually included in studies analyzing heterogeneity of farmers' preferences (Makokha et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Broadly, 3 methodological approaches have been used to analyze stated farmers' preferences: choice experiments (Bett et al, 2011;Duguma et al, 2011), pairwise comparisons (Byrne et al, 2012), and simpler methods such as ranking traits (Dana et al, 2010;Gizaw et al, 2010). Choice experiments have been widely used to analyze farmers' preferences for animal traits.…”

Section: Introductionmentioning

confidence: 99%

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Analyzing the heterogeneity of farmers’ preferences for improvements in dairy cow traits using farmer typologies

Martín-Collado¹,

Byrne²,

Amer³

et al. 2015

Journal of Dairy Science

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Giving consideration to farmers' preferences for improvements in animal traits when designing genetic selection tools such as selection indexes might increase the uptake of these tools. The increase in use of genetic selection tools will, in turn, assist in the realization of genetic gain in breeding programs. However, the determination of farmers' preferences is not trivial because of its large heterogeneity. The aim of this study was to quantify Australian dairy farmers' preferences for cow trait improvements to inform and ultimately direct the choice of traits and selection indexes in the 2014 review of the National Breeding Objective. A specific aim was to analyze the heterogeneity of preferences for cow trait improvements by determining whether there are farmer types that can be identified with specific patterns of preferences. We analyzed whether farmer types differed in farming system, socioeconomic profile, and attitudes toward breeding and genetic evaluation tools. An online survey was developed to explore farmers' preferences for improvement in 13 cow traits. The pairwise comparisons method was used to derive a ranking of the traits for each respondent. A total of 551 farmers fully completed the survey. A principal component analysis followed by a Ward hierarchical cluster analysis was used to group farmers according to their preferences. Three types of farmers were determined: (1) production-focused farmers, who gave the highest preference of all for improvements in protein yield, lactation persistency, feed efficiency, cow live weight, and milking speed; (2) functionality-focused farmers with the highest preferences of all for improvements in mastitis, lameness, and calving difficulty; and (3) type-focused farmers with the highest preferences of all for mammary system and type. Farmer types differed in their age, their attitudes toward genetic selection, and in the selection criteria they use. Surprisingly, farmer types did not differ for herd size, calving, feeding system, or breed. These results support the idea that preferences for cow trait improvements are intrinsic to farmers and not to production systems or breeds. As a result of this study, and some bioeconomic modeling (not included in this study), the Australian dairy industry has implemented a main index and 2 alternative indexes targeting the different farmer types described here.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analyzing the heterogeneity of farmers’ preferences for improvements in dairy cow traits using farmer typologies

Martín-Collado¹,

Byrne²,

Amer³

et al. 2015

Journal of Dairy Science

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“…We carried out conjoint analysis with a similar group of respondents. Conjoint analysis is a common method in marketing research, but it has also become established as a tool in animal and plant breeding (Achot et al 2014;Asrat et al 2010;Bett et al 2011;Sy et al 1997;Tano et al 2003). To determine the relative importance of different traits for farmers' overall varietal preference, conjoint analysis applies a Lancasterian utility framework.…”

Section: Comparison With Conjoint Analysis In Breeding Researchmentioning

confidence: 99%

“…To test the new method, we implemented it with farmers in Honduras, focusing on trait prioritization for common bean (Phaseolus vulgaris L.). To compare with the current state of the art, we also executed conjoint analysis, which is an established method in this context (Asrat et al 2010;Bett et al 2011;Tano et al 2003). We observed how farmers engaged with each method and compared the quantitative results.…”

Section: Introductionmentioning

confidence: 99%

Gamification of farmer-participatory priority setting in plant breeding: Design and validation of “AgroDuos”

Steinke¹,

Etten²

2017

Journal of Crop Improvement

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Participatory methods to characterize farmers' needs and preferences play an important role in plant breeding to ensure that new varieties fulfill the needs and expectations of end users. Different farmer-participatory methods for priority setting exist, each one responding differently to trade-offs between various requirements, such as replicability, simplicity, or granularity of the results. All available methods, however, require training, academic skill, and staff time of specially qualified professionals. Breeding and variety replacement may be accelerated by empowering non-academic organizations, such as NGOs and farmer organizations, to carry out farmerparticipatory priority setting. But for this use context, currently no suitable method is available. A new method is needed that demands relatively low skill levels from enumerators and respondents, engages farmers without the need for extrinsic incentives, and gives statistically robust results. To achieve these objectives, we followed principles of "gamification" in the design of AgroDuos, a choice experiment that resembles a card game and that involves pairwise ranking of variety traits. We tested the method in a pilot with 39 farmers in Honduras to define their trait priorities for common bean (Phaseolus vulgaris L.). To validate our results, we independently carried out conjoint analysis, an established method for priority setting in plant breeding. We found that AgroDuos produced valid and useful results while enabling rapid, easy, and engaging data collection. Challenges persist concerning local adaptation and data analysis by non-specialist staff, which may be resolved in the future by providing templates and online support. ARTICLE HISTORY

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“…Other characteristics like reproductive efficiency, egg production and body weight may be considered for specifying the VCs of the UAE. Most of these traits may have a direct or indirect influence on the marketability of chickens [17]. Qualitative and quantitative measurements can be determined by using FAO checklist for chickens' phenotypic characterization.…”

Section: Introductionmentioning

confidence: 99%

Factors Influencing the Morphological Characteristics of Village Chickens’ Genetic Resources in the Abu-Dhabi Emirate, UAE

Tabbaa¹,

Hassanin²

2018

OJAS

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The study was accomplished to identify the characteristics of village chickens' (VCs) genetic resources in the Abu-Dhabi Emirate of United Arab Emirate (UAE) and to study factors affecting these characteristics. Each bird was individually observed, identified, measured and characterized of thirteen VCs pure breeds and crossbreds. The overall VCs had normal feather morphology (95.1%) and distribution (77%). Except for Fayomi chickens which were 100% mottled, no specific plumage pattern was found. Almost 52% of the VCs had white skins. Six different colors were reported for the shanks and maximized for white shanks (34.3%). Large breasts (46%) were more available. The predominant plumage color was mixed colors (37.5%). Face size tended to be small (42.8%) to medium (40.4%). More brown (48.9%) then orange (27.3%) eyes were found. Dark (49.7%) beaks were more available than white (28.6%) or yellow (21.7%) beaks. The distribution of wattle colors was similar to that of ear-lob colors with some variation. Small wattles (41.9%) were most available. Single comb (82.4%) is the most available; 11 other types and one with no comb were represented with low frequencies. In the whole sample, red and white combs (56.7%) were the most available; however, plain red (23.8%) and red and black (15.5%) were represented. Results of factors influence showed that body weight was high significantly (P < 0.01) influenced by the interaction between both breed and region and breed and sex. Significant (P < 0.01) influence of interaction was observed between breed and location on body length, wing span and shank length. The interaction between breed and sex only significantly (P < 0.01) influenced shank length. Though, all main effects of breed, sex and region significantly (P < 0.01) influenced continuous measures. Most morphological characteristics were significantly (P < 0.01) different

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Estimating farmers' preferences in selection of indigenous chicken genetic resources using non-market attributes

Cited by 22 publications

References 53 publications

Analyzing the heterogeneity of farmers’ preferences for improvements in dairy cow traits using farmer typologies

Analyzing the heterogeneity of farmers’ preferences for improvements in dairy cow traits using farmer typologies

Gamification of farmer-participatory priority setting in plant breeding: Design and validation of “AgroDuos”

Factors Influencing the Morphological Characteristics of Village Chickens’ Genetic Resources in the Abu-Dhabi Emirate, UAE

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