Survey and characterization of Attappady black goats of Kerala, India

Stephen, M.; Raja, T. V.; Sosamma, I.

doi:10.1017/s1014233900001954

Cited by 16 publications

(4 citation statements)

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“…This goat is slightly larger than the Boerka goat, i.e., body length (67±0.8cm) and body weight (31±0.4kg) compared those reported by Suyasa et al (2023). They found the body length and body weight of Boerka goats to be 68.85+5.15cm and 29.04+4.51kg, respectively, but it is still smaller than the Etawah crossbred goat (Stephen et al 2011).…”

Section: G [254]mentioning

confidence: 95%

Identification of Boerka Goats Raised in Bali by using Molecular Analysis of IGF1 (Insulin-Like Growth Factor 1) Gene

2024

Int J Vet Sci

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The fulfillment of the lamb demand in Bali, Boerka goats was developed by the local government in 2019. Boerka goats resulting from a cross between male Boer breeds and female Kacang goats are categorized as meat goats and predicted to have good adaptation to unfavorable environments like the Kacang goats and have good meat quality like Boer goats as their parents. The study aims to analyze insulin-like growth factor 1 (IGF1) as a gene related to the growth of Boerka goats. A total of 16 Boerka goats from a group of livestock farmers in Sanda village were used as objects of study. The blood samples were taken in a venoject tube filled with EDTA anticoagulant. DNA total was extracted from each sample and subjected to PCR with IFG-1 gene target by using IGF677F 5'-ATTACAAAGCTGCCTGCCCC-'3 and IGF879R 5'-ACCTTACCCGTATGAAAGGAATATACGT-'3 primers. PCR products were then sequenced and analyzed with the MEGA 11 program. Results of the study showed the IFG-1 gene of Boerka goats compose of nucleotides dominated by adenine base guanine (22.3%), and pyrimidine tyrosine (33.9%). In conclusion, Boerka goats raised in Bali genetically share a clade with Ovis aries and Capra malabari with a bootstrap value is 99% as a type of meat and milk goats so that Boerka goats tend to have characteristics and appearance resembling Ovis aries and Capra malabari goats.

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Section: G [254]mentioning

confidence: 95%

Identification of Boerka Goats Raised in Bali by using Molecular Analysis of IGF1 (Insulin-Like Growth Factor 1) Gene

2024

Int J Vet Sci

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“…Data on 1412 goats were collected from the Attappady region of Kerala state in India, which is the home tract of the Attappady Black goat breed, and the detailed description of the breed may be seen in the study by Stephen et al [12]. The data were divided into different groups according to the age of the goats (i.e.…”

Section: Data Generationmentioning

confidence: 99%

Comparison of connectionist and multiple regression approaches for prediction of body weight of goats

Raja

Ruhil

Gandhi

2011

Neural Comput & Applic

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The Attappady Black goat is a native goat breed of Kerala in India and is mainly known for its valuable meat and skin. In this work, a comparative study of connectionist network [also known as artificial neural network (ANN)] and multiple regression is made to predict the body weight from body measurements in Attappady Black goats. A multilayer feed forward network with backpropagation of error learning mechanism was used to predict the body weight. Data collected from 824 Attappady Black goats in the age group of 0-12 months consisting of 370 males and 454 females were used for the study. The whole data set was partitioned into two data sets, namely training data set comprising of 75 per cent data (277 and 340 records in males and females, respectively) to build the neural network model and test data set comprising of 25 per cent (93 and 114 records in males and females, respectively) to test the model. Three different morphometric measurements viz. chest girth, body length and height at withers were used as input variables, and body weight was considered as output variable. Multiple regression analysis (MRA) was also done using the same training and testing data sets. The prediction efficiency of both models was compared using the R 2 value and root mean square error (RMSE). The correlation coefficients between the actual and predicted body weights in case of ANN were found to be positive and highly significant and ranged from 90.27 to 93.69%. The low value of RMSE and high value of R 2 in case of connectionist network (RMSE: male-1.9005, female-1.8434; R 2 : male-87.34, female-85.70) in comparison with MRA model (RMSE: male-2.0798, female-2.0836; R 2 : male-84.84, female-81.74) show that connectionist network model is a better tool to predict body weight in goats than MRA.

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“…The breed was phenotypically characterised by the presence of black coloured skin coat with bronze coloured eyes. Animals have medium sized ears that were drooping, the tail was curved and bunchy (Stephen et al, 2005). Attappady Black are highly adaptable and disease resistant breed.…”

Section: Introductionmentioning

confidence: 99%

Genetic Variability Analysis of Early Growth Response 2 (EGR2) Gene in Native Goat Breeds of Kerala

Desai¹,

Naicy²,

Aravindakshan³

et al. 2020

IJAR

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Background: India is fortunate to have a vast livestock resource with the availability of 28 well defined goat breeds. Kerala is the home for two breeds of goats namely Malabari and Attapady Black. Due to high prolificacy and income through lower input goat rearing had attracted numerous farmers. Selection with the aid of molecular markers associated with production traits plays an essential role in goat breeding programmes. The EGR2 gene is a part of multigene family which encodes Cys2His2 type zinc-finger proteins which is responsible for DNA binding. This gene has a major role in cellular prolification, reproduction, proper growth and development ovarian follicles. Thus present study was conducted with an objective to detect single nucleotide variations of Early Growth Response 2 gene in native goat breeds of Kerala. Methods: This research was conducted in 153 Malabari goats and 129 Attappady Black goats from six centers viz., University Goat and Sheep farm Mannuthy and 5 field centers of ICAR- All India Coordinated Research Project on Goat Improvement. Genomic DNA was isolated and PCR was performed to amplify Exon 1, Exon 2 and 5 fragments of Exon 3 regions of Early Growth Response 2 gene. Single stranded conformation polymorphism (SSCP) technique was performed to detect Single Nucleotide Polymorphism (SNPs). Result: The SSCP revealed similar banding patterns and sequencing did not indicate any nucleotide variations in all the exons screened suggesting that EGR2 gene is highly conserved in native goat breeds of Kerala. This is the first study conducted to characterize EGR2 gene in goats making the current study a novel one.

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Survey and characterization of Attappady black goats of Kerala, India

Cited by 16 publications

References 0 publications

Identification of Boerka Goats Raised in Bali by using Molecular Analysis of IGF1 (Insulin-Like Growth Factor 1) Gene

Identification of Boerka Goats Raised in Bali by using Molecular Analysis of IGF1 (Insulin-Like Growth Factor 1) Gene

Comparison of connectionist and multiple regression approaches for prediction of body weight of goats

Genetic Variability Analysis of Early Growth Response 2 (EGR2) Gene in Native Goat Breeds of Kerala

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