COMPARING CARCASS TRAITS FOR BOTH WHITE AND BROWN DOMYATI DUCKS (EGYPTIAN LOCAL MALLARD)

The objective of this work to explore the effect of feather colour on the carcass traits of Domyati ducks. A total of 169 one-day-old Domyati ducks were separated according to phenotypic colour into two groups, White feather (WF) and Brown feather (BF). The distribution ratios were 9% and 91% for WF, and BF, respectively. Carcass traits were taken at the marketing age, 16 ducks /each phenotype (8 male+ 8 female) were saluted. Non-edible meat parts were taken (blood- feather- legs- head- and viscera), edible meat parts (dressed carcass- liver- gizzard- heart), muscles (major – minor – thigh - drumstick), fats (Abdominal fat, gizzard fat – skin), also neck, wings and skeleton were measured. The live body weight was significantly heavier for WF ducks compared to BF ducks. Also, the males recorded heavier body weight than females. The interaction was not significant. There is no significant effect for feather colour or sex on non-edible meat parts, muscles, fats, neck, wings and skeleton. However the BF ducks were significantly higher relative heart weight than WF ducks, the females were significantly higher relative heart weight compared to males, the interaction between feather colour and sex was not significant. In conclusion, there was no significant effect due to feather colour on studied carcass traits.

Authors

Institutions

Publication Details

Journal
Egyptian Journal of Nutrition and Feeds
Published
2024-12-01
DOI
https://doi.org/10.21608/ejnf.2024.394258
Primary Topic
Livestock and Poultry Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

COMPARING CARCASS TRAITS FOR BOTH WHITE AND BROWN DOMYATI DUCKS (EGYPTIAN LOCAL MALLARD)

A. Zein El-Dien, A. Makram, M. Abd El-Tawab, I. El-Wardaney et al.
1 links
Egyptian Journal of Nutrition and Feeds
Livestock and Poultry Management
article

COMPARING CARCASS TRAITS FOR BOTH WHITE AND BROWN DOMYATI DUCKS (EGYPTIAN LOCAL MALLARD)

A. Zein El-Dien, A. Makram, M. Abd El-Tawab, I. El-Wardaney, A.H. El- Attar
article en

Abstract

The objective of this work to explore the effect of feather colour on the carcass traits of Domyati ducks. A total of 169 one-day-old Domyati ducks were separated according to phenotypic colour into two groups, White feather (WF) and Brown feather (BF). The distribution ratios were 9% and 91% for WF, and BF, respectively. Carcass traits were taken at the marketing age, 16 ducks /each phenotype (8 male+ 8 female) were saluted. Non-edible meat parts were taken (blood- feather- legs- head- and viscera), edible meat parts (dressed carcass- liver- gizzard- heart), muscles (major – minor – thigh - drumstick), fats (Abdominal fat, gizzard fat – skin), also neck, wings and skeleton were measured. The live body weight was significantly heavier for WF ducks compared to BF ducks. Also, the males recorded heavier body weight than females. The interaction was not significant. There is no significant effect for feather colour or sex on non-edible meat parts, muscles, fats, neck, wings and skeleton. However the BF ducks were significantly higher relative heart weight than WF ducks, the females were significantly higher relative heart weight compared to males, the interaction between feather colour and sex was not significant. In conclusion, there was no significant effect due to feather colour on studied carcass traits.

Egyptian Journal of Nutrition and FeedsVol. 27(3)
Ain Shams University (EG), Fayoum University (EG)
Openalex Percentile: Top 74%
Livestock and Poultry Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.