scholarly journals Genetic and Non-genetic Factors Affecting some Productive and Reproductive Traits in Holstein-Friesian Dairy Cows Raised in Egypt for the First Two Lactations

2013 ◽  
Vol 18 (1) ◽  
pp. 99-113
Author(s):  
Mohamed Osman ◽  
Khairy El-Bayomi ◽  
Sherif Moawed
Keyword(s):  
Dairy Cows ◽  
Genetic Factors ◽  
Reproductive Traits ◽  
Factors Affecting ◽  
Holstein Friesian

Characterisation of KiSS1R gene and Non genetic factors affecting reproductive traits in Indian goats

2019 ◽  
Author(s):  
Siddhant Sekhar Sahoo ◽  
Chinmoy Mishra ◽  
Stuti Tanaya Mohanty ◽  
Rakesh Kaushik ◽  
P. K. Rout ◽  
...  
Keyword(s):  
Sexual Maturity ◽  
Genetic Factors ◽  
Reproductive Traits ◽  
Factors Affecting ◽  
Polymorphic Pattern ◽  
Nucleotide Sequence Alignment ◽  
Goat Population ◽  
Black Bengal Goat ◽  
Gpr54 Gene ◽  
Ncbi Blast

This study was undertaken to explore the genetic polymorphism in the KiSS1R (GPR54) gene from 80 Black Bengal, 50 Ganjam and 20 Raighar goat. Each of the sampled goats was recorded for its reproductive traits. The genomic DNA was isolated from the collected blood samples. The target 3’ UTR comprising of 246 bp fragment of KiSS1R gene was successfully amplified using the specific primer. Amplified samples were subjected for HRM analysis followed by sequencing. The nucleotide sequence alignment with the retrieved DNA sequence from NCBI BLAST confirmed absence of polymorphic pattern in KiSS1R gene in 3’ UTR. However, in the studied populations breed had significant effect on littersize, kidding interval and age at sexual maturity. It was found that age at sexual maturity and kidding interval were the highest in Ganjam goat population as compared to Raighar and Black Bengal goat population. Litter size was found highest in Black Bengal goat.

Non-Genetic Factors Affecting Reproductive Traits in Konkan Kanyal Goats

2016 ◽  
Vol 22 (1) ◽  
pp. 103
Author(s):  
D.J. Bhagat ◽  
R.G. Burte ◽  
B.G. Desai ◽  
V.S. Dandekar
Keyword(s):  
Genetic Factors ◽  
Reproductive Traits ◽  
Factors Affecting

scholarly journals A REVIEW ARTICLE ON NON-GENETIC FACTORS AFFECTING REPRODUCTIVE TRAITS IN SWINE

2021 ◽  
Vol 1 (2) ◽  
pp. 71-76
Author(s):  
Aarati Khulal ◽  
Prativa Sharma ◽  
Asmin Khulal ◽  
Surya Sharma Bhatta
Keyword(s):  
Disease Transmission ◽  
Genetic Factors ◽  
Reproductive Traits ◽  
Housing System ◽  
Gestation Length ◽  
Related Factors ◽  
Factors Affecting ◽  
Sow Reproduction ◽  
Farrowing Rate ◽  
Feeding Systems

This review studies several factors affecting the reproductive performance of swine chiefly focusing on sow-related factors, which have significant economic importance. A sow’s productivity is determined by different reproductive attributes, including litter size, litter weight at weaning, farrowing rate, the return of oestrus, and many more. The increase in number of pigs born alive and weaned piglets per sow is an aim for swine husbandry.Various factors such as parity, housing, feed, gestation length, season, and temperature are considered in this paper. Sows of differing parities have performed differently.The performance was influenced by various feeding systems, comfort, spacing, aggressiveness, and disease transmission in the housing system. Feeding intake and nutrition uptake are directly connected with milk secretion as well as other traits. Season and temperature are correlated with feeding intake, time of puberty, hormonal production, and seasonal infertility.Scientists are globally working for productive breeds. However, the rearing of swine will necessitate the consideration of different non-genetic factors of their reproduction from an economicpoint of view.The goal of this study is to understand non-genetic factors that affect sow reproduction and to advise swine farmers on how to create a better environment for swine to improve productivity.

Genetic and non-genetic factors affecting productive and reproductive traits in Deoni cattle

2018 ◽  
Author(s):  
Sukanta Basak ◽  
D. N. Das ◽  
U. T. Mundhe
Keyword(s):  
Milk Yield ◽  
Genetic Factors ◽  
Cattle Breed ◽  
Reproductive Traits ◽  
Phenotypic Correlation ◽  
Dual Purpose ◽  
Factors Affecting ◽  
Lactation Length ◽  
Service Period ◽  
Dual Purpose Cattle

The present study was carried out in Deoni, the dual purpose cattle breed of Southern India, maintained at NDRI herd, SRS, Bengaluru. Mean phenotypic performances for the traits of age at first calving (AFC), first service period (FSP), first lactation milk yield (FLMY) and first lactation length (FLL) were estimated as 42.90 ± 0.49 months, 179.00 ± 6.3 days, 643.08 ± 25.16 kg and 178.24 ± 4.41 days respectively. Significant effect of parity was found on AFC and FSP. Effect of period of birth, period of calving and season of calving was found to be significant on FSP. Significant effect of period of birth, period of calving, classes of AFC and FLL were found on FLMY. The heritability of first lactation milk yield was estimated as 0.38 ± 0.29. Phenotypic correlation of FLMY with FLL (0.88 ± 0.02) was found to be highly significant (p Lass Than 0.01).

A review of the genetic and non-genetic factors affecting extended lactation in pasture-based dairy systems

2015 ◽  
Vol 55 (8) ◽  
pp. 949 ◽  
Author(s):  
Mary Abdelsayed ◽  
Peter C. Thomson ◽  
Herman W. Raadsma
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Genetic Factors ◽  
Genetic Selection ◽  
Factors Affecting ◽  
Environmental Interactions ◽  
Holstein Friesian ◽  
Component Traits ◽  
Dairy Systems ◽  
Extended Lactation

Milk production per cow has significantly increased over the last 50 years due to the strong genetic selection for increased milk production; associated with this increased production has been a decline in reproductive performance. As a result, superior-yielding cows that have failed to get into calf in a traditional 12-month calving system may be carried over and milked continuously for another 6 months instead of being culled. Studies indicate that cows are able to achieve lactations greater than 305 days and up to 670 days under pasture-based systems, with and without the use of supplementary feeds. Extended lactations of 16 months are most common and economically viable in Australian dairy systems. These findings indicate a potential role for extended lactation in countries such as Australia, where pasture-based dairy systems in which Holstein-Friesian dairy cows predominate. However, variation between cows in their milk yield profiles and the ability of cows to reach a planned dry-off date over an extended lactation occurs depending on the cow’s genetic strain, nutrition and environmental interactions, with certain strains of cow being better suited to extended lactation than others. The focus of this review is to examine the scope for genetic improvement as well as important considerations (non-genetic factors) when selecting suitable animals for extended lactation in pasture-based dairy systems, with an emphasis on Australian systems. These considerations include the impacts of cow strain, nutrition, milk production, and biological and economical costs associated with extended lactation. Methods for modelling extended lactation and estimating genetic parameters of lactation persistency, milk yield and component traits under extended lactation will be addressed and future directions for further research suggested.

scholarly journals Genetic and Non-Genetic Factors Affecting Reproductive Traits of Pakhribas Pig in Nepal

2014 ◽  
Vol 8 ◽  
pp. 77-81
Author(s):  
Shreeram P. Neopane
Keyword(s):  
Genetic Parameters ◽  
Genetic Factors ◽  
Agricultural Research ◽  
Reproductive Traits ◽  
Gestation Length ◽  
Research Station ◽  
Season Of Birth ◽  
Factors Affecting ◽  
The People ◽  
Sources Of Variation

Pakhribas pig is a black colour pig and is highly preferred by the people in the Eastern hills of Nepal. This breed was developed in Nepal by three-way crossing of exotic breeds  (Saddle back, Fayuen and Tamworth) at Agricultural Research Station (ARS), Pakhribas, the then Pakhribas Agricultural Centre (PAC). The data of 348 pigs, born over a period of fifteen years (1990 to 2004) were used to study the effect of non-genetic factors on reproductive traits and estimate their genetic parameters. The findings revealed that the   overall gestation length and farrowing intervals were 113.7 ± 0.12 days and 182.5 ± 2.2 days, respectively. Season of birth and parity of dams were not important sources of variation for reproductive traits, where as year affected these traits significantly. Heritability estimates of gestation length was low (0.02 ± 0.094), but heritability for farrowing interval was moderate (0.14 ± 0.147) suggesting selection based on farrowing interval would bring the improvement in the trait.Nepal Agric. Res. J. Vol. 8, 2007, pp. 77-81DOI: http://dx.doi.org/10.3126/narj.v8i0.11584

scholarly journals Effect of some non-genetic factors on the productivity and profitability of Holstein Friesian dairy cows

2021 ◽  
Vol 14 (1) ◽  
pp. 242-249
Author(s):  
Amira M. Abd-El Hamed ◽  
Eman R. Kamel
Keyword(s):  
Dairy Cows ◽  
Dairy Cow ◽  
Genetic Factors ◽  
Dairy Farms ◽  
Dry Period ◽  
Feed Cost ◽  
Holstein Friesian ◽  
Net Profit ◽  
Main Factors ◽  
Days Open

Background and Aim: Milk yield (MY) is one of the main factors that affect the economic profitability of dairy farms. Thus, increasing the MY per animal and decreasing the feed cost can lead to economic gains, so the objective of this study was to evaluate the effect of dry period length (DPL), days open (DO), and days in milk (DIM) on the productivity and profitability of dairy cow farms. Materials and Methods: Data used in this study were taken from 3095 lactation records of Friesian dairy cows of private and governmental sectors. The data were classified into 4 DPL categories: DPL1 <45 days; DPL2 45-60 days; DPL3 61-75 days, and DPL4 >75 days, 3 DO categories: DO1 ≤90 days; DO2 91-110 days and DO3 >111 days, and 8 DIM categories: DIM1 180-210 days; DIM2 211-240 days; DIM3 241-270 days; DIM4 271-300 days; DIM5 301-330 days; DIM6 331-360 days; DIM7 361-447 days; and DIM8 >447 days. Results: The average net profit (NP) was significantly different (p<0.05) among different categories of DPL, DO, and DIM in both production sectors, where high estimates of NP were calculated for DPL3 (30667.3 EGP), and it was the lowest for DPL1 (19690.6 EGP). DO2 had the highest NP (30754.1 EGP), while DO3 had the lowest NP (24875.5 EGP). DIM3 had the highest NP (29569.3 EGP), while DIM8 had the lowest NP (19528.4 EGP). Conclusion: Finally, we can conclude that DPL 61-75 days, DO 91-110 days, and DIM 241-270 days had the highest level of total MY, total return, and NP. Private dairy cow farms achieve a higher level of NP than governmental ones under subtropical Egyptian conditions.

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