Breeding goals for the Kenya Dual Purpose goat. II. Estimation of economic values for production and functional traits

Bett, R.C.; Kosgey, I.S.; Bebe, Bockline Omedo; Kahi, A.K.

doi:10.1007/s11250-007-9013-5

Cited by 19 publications

(4 citation statements)

References 23 publications

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“…Investigating the economic returns of smallholder low, medium and high potential goat farm-ing systems in Kenya, Bett et al (2007b) reported that the positive economic values for most traits under fixed flock-size and fixed feed resource scenarios indicates that a unit increase in genetic merit for the traits would have a positive effect on the profitability of the systems. This underscores the value of the two fundamentals for goat meat production, nutrition and genetic improvement individually and the interaction between the two.…”

Section: Nutritionmentioning

confidence: 99%

Managing goat production for meat quality

Casey

Webb

2010

Small Ruminant Research

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a b s t r a c tManaging goat production for meat quality is a deliberate, active process that reaches from conception to consumption. The concept of quality in meat is universal, being wholesome, nutritious and palatable. Goat meat is a product of many different production systems from widely varying environments, nutritional regimes and genotypes. The physical, chemical, sensory and nutritional properties of goat meat at the point of consumption are the results of sequential influencing factors that each, to a greater or lesser extent, can be directed by producers, marketers and processors. This paper considers genetic and physiological factors that influence the production of goat meat.

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Section: Nutritionmentioning

confidence: 99%

Managing goat production for meat quality

Casey

Webb

2010

Small Ruminant Research

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“…However, this result was in contrast with Gizaw et al (2018), who found a positive economic value for the mature weight of Menz sheep. On the other hand, negative and positive economic values of doe live weight were also reported for Kenyan dual-purpose goats (Bett et al, 2007) in three different production systems. Thus, differences may be due to variability in flock size, species, individual genetic variation, management, place and year of the studies.…”

Section: Breeding Objectives Using Bioeconomic Modelmentioning

confidence: 88%

Defining smallholders' breeding objectives for common Tigray highland sheep in Northern Ethiopia

Welday

Abegaz

Urge

et al. 2022

J Animal Breeding Genetics

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A sound breeding objective is a basis for genetic improvement in the overall economic merit of farm animals. This study aimed to define smallholders' sheep breeding objectives using a conjoint‐based choice experiment and bio‐economic model. Multinomial logistic regression analysis showed differences (p < 0.001) among the derived weights allocated by farmers to body size, twining rate, mothering ability, libido, tail type, colour and lambing interval which formed the high priority traits. The likelihood values of farmer's top three preferred traits for ram were body size (0.659 ± 0.009), tail type (0.325 ± 0.016) and libido (0.247 ± 0.016) while body size (0.459 ± 0.010), twining rate (0.313 ± 0.010) and mothering ability (0.261 ± 0.010) were more preferred traits for selection of breeding ewes. Conjoint‐based choice experiment and bio‐economic model indicated that live body weight at 6 months of age, twining rate (litter size) and mothering ability (preweaning lamb survival) were the most economically important traits of the breeding ewes. A genetic improvement by one genetic standard deviation (σa) in these traits resulted in a profit of Ethiopian Birr 36.03–60.47/ewe/year. A fair correlation (r = 0.63) was observed between farmers' traits preference (conjoint‐based choice card experiment) and the estimated economic value of traits indicating a good relationship between farmers' preferences for traits and economic values of the traits. This would indicate that weighting traits in selection indexes with farmers' trait selection using a conjoint‐based choice experiment would direct genetic improvement towards desired profitability. Moreover, the fair correspondence between the two methods suggests that bio‐economic modelling, if designed properly considering farmers' concerns, could be used to reflect farmers' breeding objectives. Therefore, for reasonable genetic progress and sheep flock profitability, more attention should be given to litter size, preweaning lamb survival and body weight at 6 months of age as they are preferred by farmers and their economic weights. Further, research on the modalities for complementary use of the two methods to define breeding objectives under smallholder conditions is warranted.

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“…Economic values are needed for each trait in the breeding goal to ensure that selection emphasis is proportional to the economic importance of each of these traits (Amer et al, 2001). Economic values for traits in the breeding goal for KDPG will be estimated in the companion paper (Bett et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

Breeding goals for the Kenya Dual Purpose goat. I. Model development and application to smallholder production systems

Bett

Kosgey

Bebe

et al. 2007

Trop Anim Health Prod

Self Cite

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A deterministic model was developed and applied to evaluate biological and economic variables that characterize smallholder production systems utilizing the Kenya Dual Purpose goat (KDPG) in Kenya. The systems were defined as: smallholder low-potential (SLP), smallholder medium-potential (SMP) and smallholder high-potential (SHP). The model was able to predict revenues and costs to the system. Revenues were from sale of milk, surplus yearlings and cull-forage animals, while costs included those incurred for feeds, husbandry, marketing and fixed asset (fixed costs). Of the total outputs, revenue from meat and milk accounted for about 55% and 45%, respectively, in SMP and 39% and 61% in SHP. Total costs comprised mainly variable costs (98%), with husbandry costs being the highest in both SMP and SLP. The total profit per doe per year was KSh 315.48 in SMP, KSh -1352.75 in SLP and KSh -80.22 in SHP. Results suggest that the utilization of the KDPG goat in Kenya is more profitable in the smallholder medium-potential production system. The implication for the application of the model to smallholder production systems in Kenya is discussed.

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Breeding goals for the Kenya Dual Purpose goat. II. Estimation of economic values for production and functional traits

Cited by 19 publications

References 23 publications

Managing goat production for meat quality

Managing goat production for meat quality

Defining smallholders' breeding objectives for common Tigray highland sheep in Northern Ethiopia

Breeding goals for the Kenya Dual Purpose goat. I. Model development and application to smallholder production systems

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