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Register a new userFactors Affecting the Calving Interval of Holstein Friesian Cattle in Kharabo Dairy Station
العوامل المؤثرة في طول الفترة بين الولادتين في أبقار الهولشتاين فريزيان في مزرعة خرابو
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أجريت الدراسة في مزرعة خرابو (كلية الزراعة-جامعة دمشق) باستخدام 553 سجلاً خاصاً لنحـو 206 بقرة هولشتاين فريزيان خلال الأعوام من 1982 حتى 2007 لتحديد العوامل المـؤثرة فـي طـول الفترة بين الولادتين. أخضعت البيانات إلى النموذج الخطي العام Model Linear General ، و استخدم تحليل التباين لدراسة تأثير سنة الولادة، و فصل الولادة، و موسم الإنتاج، و تفاعلاتها المشتركة في طـول الفترة بين الولادتين، و استخدم اختبار Duncan لمقارنة المتوسطات، و استخدم لذلك الغـرض برنـامج SPSS .بلغ المتوسط العام لطول الفترة بين الولادتين 12.459±90.4 يوماً في أبقار الهولشتاين فريزيان في مزرعة خرابو. أظهرت نتائج تحليل التباين وجود تأثير معنوي (p > 001.0) لسنة الولادة، في حين لم يكن لكل من فصل الولادة، و موسم الإنتاج، و للتداخل بين العوامل المدروسة تأثير معنوي فـي طـول الفترة بين الولادتين في الأبقار المدروسة. يستنتج أنه يمكن تقصير طول الفترة بين الولادتين عند أبقـار الهولشتاين فريزيان في مزرعة خرابو إلى 365 يوماً بتحسين الأساليب الإداريـة، و ظـروف التغذيـة، و عمليات الرعاية، مما سينعكس إيجاباً على الأداء التناسلي و الاقتصادي في المحطة.
This study was conducted at Kharabo Dairy Station belongs to the Faculty of agriculture, University of Damascus. 553 records for 206 Holstein Friesian cattle were used to study factors affecting the calving interval during 1982 to 2007. Data were exposed eccording to GLM, and analysis of variance was used to determine the calving interval (CI) and the effect of calving year, calving season, parity and interactions on the calving interval, and Duncan test was used to compare means by SPSS program. The overall mean for (CI) was 459.12±4.90 days. and affected significantly (0.001>P) by calving year, but there was no significant effect for calving season, parity and interactions between studied factors on the calving interval. These results suggested that better management, and applaying more efficient administration practices as well as to improving the feeding status may reduce calving interval to typical period of 365 days and increase reproductive and economic efficiency of dairy cattle at Kharabo station.
References used
Agyemang, K. and L. P. Nkhonjera. (1986). Evaluation of the productivity of crossbred dairy cattle on smallholder and Government farms in the Republic of Malawi. Research Report No. 12 International Livestock Centre for Africa, Addis Ababa, Ethiopia. pp 39
Ajili, N., B. Rekik, A. Ben Gara, and R. Bouraoui. (2007). Relationships among milk production, reproductive traits, and herd life for Tunisian Holstein- Friesian cows. African Journal of Agricultural Research. 2(2): pp. 047-051
Amimo, J. O., R. O. Mosi, J. W. Wakhungu, T. K. Muasya and B. O. Inyangala. 2006. Phenotypic and genetic parameters of reproductive traits for Ayrshire cattle on large-scale farms in Kenya. Livestock Research for Rural Development. Volume18, http: //www.cipav.org.co/ lrrd/lrrd18/10/amimo18147.htm
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This study was conducted at Kharabo dairy station belongs to the Faculty of
Agriculture، University of Damascus. 692 productive records for 269 Holstein
Friesian cattle were used to study the effects of calving year, age at first calving،
calving
season and parity on the adjusted 305-day milk yield. Data were
exposed to GLM, analysis of variance was applied to determine the effect of
studied factors and differences between averages were compared according to
Duncan test using SPPS 17. The overall mean for (305-d milk) was 6222.6 ±
62.01 kg. and affected significantly (P < 0.001) by calving year and parity and
(P<0.05) by age at first calving. No significant effect for season was observed.
Results suggested that better management practices and improving the feeding
status might help increasing the 305-d milk and making the status more
economic efficient in the dairy cattle at Kharabo Farm.
Records of ٤٤٥ Friesian cows were analysed for calving interval and its
components; days open, lactation length and length of dry period. The model
included parity, calving year and calving season. The overall means were
٤٢٥,٧٧ ± ١,٨٩, ١٤١,٣ ± ١,٣
٧, ٣٥٣,٩ ± ٠,٨٨ and ٧٣,٠٢ ± ٠,٧٧ days for calving
interval, days open, lactation length and length of the dry period respectively.
These estimates are high by tropical and subtopical standards, but they remain
lower than the reproductive performance of Friesian cattle in temperate
countries.
This research was conducted I during 2009-2010 at Dier Alhajar station,
General Commission for Scientific Agricultural Research to determine the
length of calving interval (CI) and the effect of sire, calving year, calving
season, parity and age o
f cow and their interactions in Shami Cattle.
It was concluded that CI can be reduced by better
management and providing good and suitable feeding conditions.
This study was conducted at fedio dairy station belongs to the General organization
for cattle in Lattakia.. A total of 2534 production records of 1771 Holstein cattle were used
to study factors affecting the Days open (DO) during 1990 to 2013, and
to study the effects
of calving year, calving season, parity and interactions between studied factors on this trait.
Data were analyzed by the Least Square Means, and Duncan test was used to compare
means by SAS 9 program.
The overall mean for Days Open (DO) was 150.23 ± 1.44 days. and affected
significantly (P< .0..1) by calving year, calving season, parity and interaction (calving
year × calving season), (calving year × calving season) and (P<.0.5 ) by interaction
(calving year × calving season × parity) on the Days Open, but there was no significant
effect for interaction (calving year × parity).
Results suggested that better management, and improving the feeding status may
reduce Days Open to typical period (60 - 90 days), reduce interval calving, to get calf
every year, and increase reproductive and economic efficiency of dairy cattle at fedio
station.
This study was conducted at Fedio Dairy Station using 2189 records for 790
Holstein cattle to study the effect of frozen–thawed bull semen, inseminator,
calving year (CY), calving season (CS) and parity (P) on the number of services
per conception
(S/C). Data were obtained between the period 2003 and 2013
and evaluated according to GLM procedure (SAS 9). Analysis of variance was
used to determine the effect of studied factors on S/C.
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