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العنوان
ANALYSIS OF ANIMAL NUTRITION SYSTEMS
FOR DAIRY PRODUCTION IN THE
SURROUNDING ARAES OF
GREATER CAIRO /
المؤلف
ELSOROUGY, MOHAMMAD ANWAR AWAD.
هيئة الاعداد
باحث / MOHAMMAD ANWAR AWAD ELSOROUGY
مشرف / Kamal Mohammed Abd El-Rahman
مشرف / Nasr El Sayed El Bordeny
مناقش / Mahmoud Mohamed Khorshed
تاريخ النشر
2018.
عدد الصفحات
117p. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
العلوم الزراعية والبيولوجية
تاريخ الإجازة
1/1/2018
مكان الإجازة
جامعة عين شمس - كلية الزراعة - انتاج حيوانى
الفهرس
Only 14 pages are availabe for public view

Abstract

This study was conducted to analyze feeding systems and their
influences on dairy production in areas around the Greater Cairo
concerning systems approach concept. The study aimed to characterizing
feeding systems in terms of technical, economic and environmental
efficiency through assessing farm and livestock status.
A total of 81 (72 as represented and before pre-test as 9 samples)
milk producers were included in the survey. The producers were selected
randomly, representing small, medium and large producers due to impact
of land access and number of dairy animals.
The targeted districts of the survey were: Manshiat El Bakary (Giza
governorate); Saft El Laban (Giza governorate) and Shalaquan
(Qalioubeya governorate) representedperi-urban production systems,
Elmarg (Cairo governorate); Omraneya (Giza governorate) and Dar
Elsalam (Cairo governorate) represented urban production systems.
A questionnaire was designed to gather data for the study of
farming systems covering productive resources available at the farm;
including crop production, feeding systems, livestock production
(particularly for dairy buffalo and cattle), socio-economic and
environmental parameters. The study involved detailed information on
sources of production of arable crops, livestock, family composition, farm
size and financial values included income from crop and animal
production.
Analytical methods were used to infer data of variable costs (inputs)
and revenue (output) under prevailing conditions in the studied areas. The
collected data were analyzed statistically using the general model
procedure of SAS (2000).
Producers around major cities rely mainly on family labor for both
farm and non-farm activities. Women’s work in farm was related to dairy
production activities, and may help to cultivate land or crops harvesting.
70
SUMMARY
Mohammad A. El-Sorougy (2018), Ph.D., Fac. Agric., Ain Shams Univ.
Multi-cropping is the systems were applied in all the study areas
where producers cultivate and sow two crops or more in one year in the
same plot. Green fodder were represented essentially as part of cultivated
areas during winter and summer seasons, explains impact of animal
production and crop rotation located under mixed farming systems.
Berseem is mainly fodder crop contributed in winter season, while darawa
is the most cultivated fodder crop in summer season. Vegetables were
most represented as cash crops both for winter and summer seasons.
According to applied cropping systems, animals fed with lower protein
and energy than requirements in summer and transitional periods,
meanwhile, in winter season, protein and energy intake is in higher level.
The main large ruminants included in the studied farming systems
were: buffalo, baladi and crossbred cow. Dairy animals accounted to 60%
of large ruminants, but 33% as fattening activities. Sheep and goats were
the main types of small ruminants constituted in the studied farming
systems.
Buffalo represented around 70% of the dairy large ruminants.
Buffalo is considered the main dairy animal regarding highly production
compared to local cattle. Buffalo milk is preferred by the consumers due
to fat percentage; it is directly sold in local markets.
Feeding costs considered the most important inputs affect
profitability of livestock farming systems. Proportion of concentrates and
fodder in the daily feed intake is linked with the economic feed efficiency
and thus resilience ability. Non-traditional feeding systems and technical
packages have to be taken into account as a role to raise feed efficiency
by reaching high productive performance and reduce production cost.
Three crop-livestock systems were identified due to the concepts:
land access and the livestock orientation divided livestock capital into
large producers with 12-13 feddans of cultivated area and 92 TLU,
medium producers with 8 feddans and 10 TLU and small producers with
1-2 feddans and 5-6 TLU. A large variability of dairy systems was stated,
71
SUMMARY
Mohammad A. El-Sorougy (2018), Ph.D., Fac. Agric., Ain Shams Univ.
identifying two main urban dairy specialized systems oriented to dairy
activities as: large producer with, in average, 21 dairy animals and small
producer with 5-6 dairy animals.
Typology was performed due to great significant in the selected
samples to create sub-systems (groups) referring livestock production
systems through estimate of productive efficiency. The classified groups
were developed as two main groups of producers: land-access and
landless producers. Land-access producers were classified in three
systems as: large mixed crop-livestock system (group 1); small mixed
crop-livestock system (group 2); micro mixed crop-livestock system
(group 3). landless producers were classified into two systems: larger
herder`s milk production (group 4) and small herder`s milk production
(group 5).
In large mixed crop-livestock system (group 1), producers combine
their animal production with cultivated area in average of 3 feddans. The
production of fodder gives an opportunity to decrease feed cost. The two
activities (crop and animal production) create a rather high farm net
income. The majority of those producers are not to receive any
complementary income from external family members work outside farm.
Small, micro crop-livestock systems (group 2 and 3) show farmers
as mainly crop producers, but milk production is for home consumption.
The extra amount of milk is for sale. Crop production constituted small
area (around 1 feddan) as: cereal (maize, wheat) mainly for home
consumption, fodder (berseem clover in winter and darawa in summer)
for animal feeding and truck crops is for home and/or selling.
Combination of crop and animal production activities located in these
systems allowing producers to have positive family net income, but
remaining quite small.
In large herder`s milk production (group 4), income depends mainly
on animal production (milk production with fattening for meat
production), generates a very high cash flow. Due to intensive feed
72
SUMMARY
Mohammad A. El-Sorougy (2018), Ph.D., Fac. Agric., Ain Shams Univ.
strategy, producers in these production systems achieved the highest feed
costs (LE /day/ head). Moreover, highest farm net income from milk
production was recorded in these production systems concerning number
of family members work in farm.
As small herder`s milk production (group 5) own small herd
(mainly dairy buffalo), the average family income showed the lowest due
to high production costs, especially for livestock feed (unavailability of
cultivated land) to produce fodder as well as concentrates cost. Workforce
is depending mainly on the family members who may account more for
the complementary revenue and the economical balance of the farm.
Regarding feed efficiency, small mixed crop-livestock system
(group 2) and micro mixed crop-livestock system (group 3) appear to be
more efficient in their ability to valorize feed due to low intensive
concentrate ration with high amount of fodder allows their animals to
optimize their daily intake linked with milk production per head per
season and milk production per feddan cultivated by fodder crops.
Landless producers (group 4 and 5) showed the lowest feed efficiency
using low amount of fodder and large amount of concentrate fed to their
animals, they provide more than the theoretical requirement which
represents a waste of the available nutrient.
Feed economic efficiency indicates ability of producers to decrease
their feed costs in terms of resisting the external variation of feed prices.
As concentrates represent from 60% to 80% of the global feed cost, the
proportion of fodder and concentrates within daily rations is directly
linked with feed economic efficiency. Small, micro mixed crop-livestock
systems (group 2 and 3) achieve better feed economic efficiency; they are
less dependent on market prices variations to produce1 kg of milk. Large
mixed crop-livestock system (group 1) increase their feed economic
efficiency by producing fodder crops, but their intensive feeding systems
is negatively impacts efficiency so as their resilience ability. Landless
producers (group 4 and 5) are highly revealed to the variability of market
73
SUMMARY
Mohammad A. El-Sorougy (2018), Ph.D., Fac. Agric., Ain Shams Univ.
for feed prices; they achieve low feed economic efficiency due to large
amount of concentrates used in their feeding strategy, and inability to
cultivate fodder.
The results of the study showed that the small, micro mixed croplivestock
systems (group 2 and 3) attain the highest feed efficiency
regarding dairy production in Urban and Peri-urban area which proves the
importance of opportunity to cultivate land by fodder crops, reflecting
increased in technical efficiency for such production systems. Feeding
systems, which applied in these production systems, influence positively
feed economic efficiency, as there is little use of concentrates thus
maintaining high productive performance and as well as animal health.
Improving productive performance for smallholders dairy producers
in areas around the Greater Cairo can be by demonstrating supposed
scenarios or technical packages (the interest in veterinary care and of
vaccines to prevent from common diseases and epidemics) using
simulation systems. Nongovernmental organizations (NGOs) are
recommended as essential in performing efficiency of dairy production
systems as milk-sourcing projects are mostly being associated. Extension
programs can help to assist in dairy marketing operations which help in
raising product price as well as producers` income appropriating
beneficial national return and Gross Domestic Products (GDP).