| dc.description.abstract |
The overall aim of this dissertation was to develop a community-based breeding program for
sustainable use of Farta sheep genetic resources in northwest Ethiopia. The specific objectives
were: 1) identifying sheep breeding practices and trait preferences; 2) evaluating the growth
performance, lamb survival and economic benefits of Farta and their crosses with Washera sheep;
3) estimating economic values (EV) of traits; 4) estimating the genetic and phenotypic parameters;
5) evaluating the efficiencies of village-based selection schemes. Methodologically, sheep
breeding practices and trait preferences of smallholder farmers were identified using survey and
choice experiment approaches. For both approaches, data were collected from 370 farmers in
three districts (Estie = 117, Farta = 125 and Lay Gayient = 128). The choice data were analyzed
using the generalized multinomial logit model, while the weighted indices were calculated to
describe the rank data. Subsequently, the growth performance and lamb survival of Farta and its
cross with Washera sheep were compared using data collected from 4318 sheep (3195 crossbreds
with 50% Washera, 115 with 75% Washera and 1008 pure Farta). The growth and survival data
were analyzed using the general linear and Cox regression models, respectively. Farmers’
perceptions about the Washera-Farta crossbreds were examined using qualitative data generated
through interviewing 53 farmers among those who participated in the crossbreeding program. In
addition, economic valuation based on hedonic price modeling was conducted using data collected
from 216 Washera-Farta crossbreds and Farta sheep traded in the local market. The growth and
lamb survival data collected from the Farta sheep and Washera-Farta crossbreds were also used
to derive EV for various traits and estimate the genetic and phenotypic parameters for growth and
pre-weaning lamb survival traits. The five models evaluated for genetic and phenotypic
parameters estimation were: 1) a model with random effect of direct animal genetics; 2) direct
animal genetics with the permanent environment; 3) direct animal and maternal genetics; 4) a
model with all the three random effects; 5) logit transformed form of model 4 (only for pre-weaning
lamb survival). Lastly, the biological and economic efficiencies of three selection schemes were
evaluated using the findings obtained in specific objectives 1 to 4 as input parameters. The
schemes were one-stage selection at 6 months (I) or yearling age (II) and two-stage selection with
the first at 6 months using a 50% selection proportion and the second at the yearling age (III). All
schemes were evaluated with three levels of ram selection proportions (P = 0.05, 0.1 and 0.2) and
four flock sizes (600, 1200, 1800 and 2400 breeding ewes). The results of the questionnaire survey
showed that the average Farta sheep flock size per farmer was about 10.21±4.79 sheep. Having
the highest index value of 0.36, income generation was ranked as the primary reason for keeping
sheep, followed by meat consumption (0.31) and manure production (0.16). The majority of the
smallholder farmers (91%) have the experience of selecting breeding rams and ewes within their
flock using diverse criteria. Given the highest index value of 0.34, body size was ranked as a
primary ram and ewe selection criterion, followed by coat color. Furthermore, choice modeling
results revealed that good tail type, large body size and brown coat color were the most preferred
attributes for breeding rams. For breeding ewes, the highly preferred attributes were good
mothering ability, brown coat color and large body size. Regarding the growth performance of
Farta and its crosses with Washera sheep, the least-squares means (LSM) of birth weight were 2.83±0.06, 3.16± 0.06 and 3.24±0.08 kg for Farta, 50 and 75% Washera crossbreds, respectively,
in which both crossbred genotypes were significantly heavier than Farta sheep (P<0.001).
However, Farta sheep were significantly heavier in weights at weaning age and 6 months than
both crossbred genotypes (P<0.001). The yearling weights among the three genotypes were not
statistically different (P>0.05), with the LSM being 22.17±0.33, 21.92±0.31 and 23.25±0.87 kg
for Farta, 50 and 75% Washera crossbreds, in the order mentioned. The proportions of lambs that
survived up to a yearling age were 89, 82.5 and 70% for Farta, 50 and 75% Washera crossbreds,
respectively. All the interviewed farmers preferred keeping Washera crossbreds to Farta sheep for
reasons such as a relatively faster growth at an early age, a large body frame, good coat color
and a high market price of the crossbreds. The hedonic price model revealed that breed type was
among the various factors that had significant influences on price (P<0.001) in which the
Washera-Farta crossbreds had about 12.7% higher price than Farta sheep. Concerning EV
estimates for production traits, it was found that a unit genetic change for weight at weaning, six
months of age, in yearlings and mature ewes had resulted in EV of US$ 1.46, 0.60, -0.04 and -0.24
per ewe per year, respectively. In addition, the EV for the number of lambs weaned per ewe bred,
ewe fertility rate, lambing interval, post-weaning lamb survival and mature ewe survival were US$
0.59, 0.37, 0.16, 0.53 and 0.86, in the order given. Analysis of the sensitivity of EV to fluctuations
in the price of input and output parameters revealed that the marginal change in profit was more
affected in most traits when the price of live weight was altered rather than feed cost. Comparisons
of the various genetic models showed that model 2 for birth weight and model 3 for weaning
weight, pre-weaning daily gain and six-month weight were found to be more appropriate for
genetic parameters estimation. However, model 4 was conceptually more insightful to describe
the variations in yearling weight and pre-weaning lamb survival. Accordingly, the direct
heritability for birth weight, weaning weight, pre-weaning daily gain, six-month weight, yearling
weight and pre-weaning lamb survival were 0.08±0.03, 0.20±0.05, 0.15±0.05, 0.24±0.06,
0.29±0.14 and 0.14±0.04, respectively. The maternal heritabilities were 0.29±0.05, 0.31±0.05,
0.40±0.05, 0.15±0.57 and 0.02±0.15 for weaning weight, pre-weaning daily gain, six-month
weight, yearling weight and pre-weaning lamb survival, respectively. The genetic correlation
between birth weight and pre-weaning lamb survival was negative (-0.36±0.22). For the other
pairs of traits, genetic correlations ranging from 0.10±0.16 between yearling weight and preweaning
lamb
survival
to 0.98±0.01 between weaning weight and pre-weaning daily gain were
estimated. Finally, the analysis of the efficiencies of the three alternative selection schemes
revealed that the highest annual selection response for each scheme was predicted when P = 0.05,
while the lowest estimates appeared at P = 0.20. It was also observed that increasing flock size
had little effect on the genetic progress but significantly reduced the rate of inbreeding across the
studied schemes. The annual economic responses estimated for schemes I, II and III varied from
US$ 0.393 to 0.591, 0.589 to 0.879 and 0.494 to 0.744, respectively. In other words, the annual
economic gain in scheme II was higher by 34 and 16% than those predicted for schemes I and III,
respectively. Operationally, scheme I is more feasible than other schemes but offers less economic
benefit, while scheme II is relatively easier to implement than scheme III and provides higher
annual economic gains than schemes I and III. Overall, implementing scheme II with P = 0.05 and
flock size of 1200 ewes would be appropriate for the genetic improvement of Farta sheep through
a community-based breeding approach. Given the crossbreds’ low survival rate and absence of
growth superiority at the marketing and breeding ages, Farta sheep genetic improvement through
Washera ram-based crossbreeding was not found to be effective under the existing low-input
production system. However, considering the preference of farmers and the price advantage in the local market, Washera ram-based crossbreeding could still be an option to improve the livelihood
of farmers in areas not addressed by the community-based selection program if the existing sheep
management practice is improved. |
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