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

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.

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).

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 Genetic predictors of participation in optional components of UK Biobank

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jessica Tyrrell ◽  
Jie Zheng ◽  
Robin Beaumont ◽  
Kathryn Hinton ◽  
Tom G. Richardson ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Genetic Variants ◽  
Genetic Factors ◽  
Mendelian Randomization ◽  
Genetic Correlations ◽  
Mr Studies ◽  
Uk Biobank ◽  
Factors Affecting ◽  
Participation Bias ◽  
Genetic Predictors

AbstractLarge studies such as UK Biobank are increasingly used for GWAS and Mendelian randomization (MR) studies. However, selection into and dropout from studies may bias genetic and phenotypic associations. We examine genetic factors affecting participation in four optional components in up to 451,306 UK Biobank participants. We used GWAS to identify genetic variants associated with participation, MR to estimate effects of phenotypes on participation, and genetic correlations to compare participation bias across different studies. 32 variants were associated with participation in one of the optional components (P < 6 × 10−9), including loci with links to intelligence and Alzheimer’s disease. Genetic correlations demonstrated that participation bias was common across studies. MR showed that longer educational duration, older menarche and taller stature increased participation, whilst higher levels of adiposity, dyslipidaemia, neuroticism, Alzheimer’s and schizophrenia reduced participation. Our effect estimates can be used for sensitivity analysis to account for selective participation biases in genetic or non-genetic analyses.

Genetic factors affecting intelligence: Symposium

1954 ◽  
Vol 1 (1) ◽  
pp. 44-52 ◽  
Author(s):  
S. C. Reed ◽  
W. Reed ◽  
J. D. Palm
Keyword(s):  
Genetic Factors ◽  
Factors Affecting

The Nature and Origin of Common Phobic Fears

1979 ◽  
Vol 134 (4) ◽  
pp. 343-351 ◽  
Author(s):  
Svenn Torgersen
Keyword(s):  
Environmental Factors ◽  
Social Adjustment ◽  
Twin Study ◽  
Genetic Factors ◽  
Factor Analyses ◽  
Factors Affecting ◽  
Five Factors

SummaryBy means of a twin study an attempt was made to throw light upon the aetiology and nosology of phobic fears. Factor analyses revealed five factors, namely separation fears, animal fears, mutilation fears, social fears and nature fears. The study demonstrated that, apart from separation fears, genetic factors play a part in the strength as well as content of phobic fears. Environmental factors, affecting the development of dependence, reserve and neurotic traits generally, seemed also to be of some importance. It was further demonstrated that phobic fears were related to emotional and social adjustment and this was true to an even greater extent for separation fears.

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