Characterisation of the local Muscovy duck in Nigeria and its potential for egg and meat production

Yakubu, Abdulmojeed

doi:10.1017/s0043933913000937

Cited by 38 publications

(34 citation statements)

References 22 publications

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“…Muscovy body weight obtained in this study was 1805.41±89.31 g/bird that estimated when first laying at around the age of 18-20 weeks. The muscovy body weight in the study was relatively high, because in Nigeria the body weight of muscovy first laying was 1.52±0.4 kg with coefficient of variation was 27.63% (Yakubu 2013). While in Bulgaria, the body weight of muscovy first laying were 1497±16.8 g and 1579±17.6 g in the guinea and rainforest agroecological zones respectively (Ogah & Musa 2011).…”

Section: Performances Of White Muscovy Duck At First Layingmentioning

confidence: 91%

The Potential of White Muscovy as Parent Stock for the Production of Broiler Ducks

Susanti

Purba

Prasetyo

2016

Proceedings of International Seminar on Livestock Production and Veterinary Technology

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In rural areas, male muscovy was commonly crossed with layer ducks for the production of mule ducks to be sold as broiler ducks. However, their population was very few with various plumage colors, and with very low egg production. Muscovy can be used as the male parent stock in a commercial production of mule ducks, but it was preferable if they have white plumage for better carcass performance and with higher egg production. The aim of the study was to evaluate the characteristics of a muscovy population whether they were suitable as the foundation stock for a selection program to improve egg production. Groups of 125 female and 51 male of local white muscovy were used in this study. They were kept under close confinements and fed according their nutrition requirements. Measurements were taken on body weight at first laying, weight of first egg, 6 month egg production, and morphological characteristics. Results showed that the average body weight at first laying was 1805.41±89.31 grams with a variation of 4.95%. The average first egg weight was 58.23±2.33 grams with a variation of 4%, and the average 6 month production was 22.52±6.38% with a variation of 28.31%. With such large variations, the population was appropriate to be used as the foundation stock for a selection to improve egg production.

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Section: Performances Of White Muscovy Duck At First Layingmentioning

confidence: 91%

The Potential of White Muscovy as Parent Stock for the Production of Broiler Ducks

Susanti

Purba

Prasetyo

2016

Proceedings of International Seminar on Livestock Production and Veterinary Technology

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“…This might adduce to its hardiness, which enables it to adapt to different climate, and habitats. Very little information is available about the phenotypic characterization of the duck in Nigeria, particularly in the warm wet humid zone of Nigeria [9, 10,11,12]. This study was, therefore, designed to assess live weight and some morphometric traits to serve as the basis for documentation and utilization in improvement programme of the locally-adapted ducks.…”

Section: Introductionmentioning

confidence: 99%

Morphological Diversity of Muscovy Duck in Humid Zone of Nigeria

Ewuola

Akinyemi

Hassan

et al. 2020

JAERI

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The study is aimed to assess live weight and some morphometric traits to serve as the basis for documentation and utilization in improvement programme of the locally-adapted ducks. This study observed five phenotypic characteristics and assessed live weight, and seven morphometric traits in 200 adult domestic ducks (105 drakes and 95 ducks) in the humid zone of Nigeria between February and August 2012. The observed characteristics were plumage colour, shank colour, eye colour, incidence and colour of caruncle. The seven morphometric traits included; body length, breast circumference, bill length, neck length, wing length, shank length, and foot length. Data collected were analysed using descriptive statistics, correlation and regression coefficients. Plumage colour was predominantly pied (black/white) with a relative prevalence of 69.0%. Shank colour was mainly yellow with a relative proportion of 62.5%. About 62% of the study ducks were yellow-eyed; the remaining ones had black eyes (38%). One-half (50%) of the study sample had caruncle; the remaining half had no caruncle. Red caruncle was predominant with the relative prevalence of 58.5%. The mean live weights of drakes and ducks were 3.16±0.814 kg and 2.05±0.449 kg, respectively. Coefficients of the phenotypic correlation between live weight and morphometric traits both in ducks and drakes ranged from 0.914 to 0.987 (P<0.01). The correlation coefficients showed that body length had the strongest relationship with live weight followed by wing length (r = 0.987 and 0.984). Regression analysis showed that body length and wing length had the highest coefficients of determination (R2 = 0.974 and 0.969), indicating that they were the best predictors of live weight. Also, the sampled Muscovy ducks showed a substantial level of variation in live weight and some morphometric traits, thereby pointing to probable gainful selection efforts. The regression equations in this study could serve as useful practical tools by livestock farmers, researchers and rural development workers for weight estimation in the field and for selection purposes.

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“…The advent of commercial fastgrowing and egg-laying strains of chickens has relegated to the background the relevance and relative contribution of indigenous poultry species such as chicken, duck, guinea fowl and pigeon to the internal animal protein production in Nigeria. This trend has adversely impacted on duck production as exemplified in its remarkable reduced population and dearth of empirical studies directed towards management and genetic improvement of this waterfowl in Nigeria (Yakubu, 2013;Oguntunji, 2013;Oguntunji and Ayorinde, 2014). The dwindling reproductive performance and high mortality rates of Muscovy ducks is a major concern as farmers income and protein intake are drastically affected.…”

Section: Introductionmentioning

confidence: 99%

Modelling hatchability and mortality in muscovy ducks using automatic linear modelling and artificial neural network

Yakubu

Dahloum

Shoyombo

et al. 2019

J. Indonesian Trop. Anim. Agric.

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This study was embarked upon to predict hatchability and mortality rate of Muscovy ducks in Nasarawa State, Nigeria. Data were obtained from a total of 119 duck farmers. The automatic linear modelling (ALM) and artificial neural network (ANN) models were employed. The average flock size was 9.84±0.60 per household. The predicted hatchability mean values using ALM (8.66) and ANN (8.65) were similar to the observed value (8.66). The predicted mortality mean values using ALM (2.95) and ANN (3.03) were also similar to the observed value of 2.95. Experience in duck rearing, the educational status of farmers, source of foundation stock and season were the variables of importance in the prediction of hatchability using ALM and ANN models. However, primary occupation, source of foundation stock, experience in duck rearing, land holding and management system were the important variables automatically selected for the prediction of mortality. Moderate coefficients of determination (R2 = 0.422 vs 0.376) and adjusted R2 (0.417 vs 0.371) estimates were obtained for hatchability and mortality using ALM. Different patterns were obtained under the ANN models as regards the prediction of hatchability (R2= 0.573 and adjusted R2= 0.569) and mortality (R2= 0.615 and adjusted R2= 0.612). The present information may aid management decisions towards better hatchability and mortality performance in Muscovy ducks.

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Characterisation of the local Muscovy duck in Nigeria and its potential for egg and meat production

Cited by 38 publications

References 22 publications

The Potential of White Muscovy as Parent Stock for the Production of Broiler Ducks

The Potential of White Muscovy as Parent Stock for the Production of Broiler Ducks

Morphological Diversity of Muscovy Duck in Humid Zone of Nigeria

Modelling hatchability and mortality in muscovy ducks using automatic linear modelling and artificial neural network

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