Estimation of genetic parameters and genetic trends for milk yield traits in Jamunapari goats in semiarid tropics

Rout, P. K.; Matika, Oswald; Kaushik, Rakesh; Dige, Mahesh Shivanand; Dass, Gopal; Singh, Sanjay Kumar

doi:10.1016/j.smallrumres.2017.05.004

Cited by 9 publications

(9 citation statements)

References 30 publications

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“…There is a large amount of variation in the literature with respect to estimates of heritability of milk yield and their components (fat, protein and dry matter) in goats [8]. Heritability values for the production of milk, fat, protein and dry matter content expressed in kg when the genotype factor of αS1-CN was considered as fixed effect were 0.40, 0.29, 0.53 and 0.16, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…Genetic selection has contributed to the development and advancement of the dairy sector, focusing on the improvement of economically important aspects associated with increased productivity and profitability [8]. The specific characteristics considered for the selection of dairy cattle populations have evolved in response to changes in the needs of producers, consumers and the society, with the help of advances in technology and data recording programs, among others [9].…”

Section: Introductionmentioning

confidence: 99%

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Does the Acknowledgement of αS1-Casein Genotype Affect the Estimation of Genetic Parameters and Prediction of Breeding Values for Milk Yield and Composition Quality-Related Traits in Murciano-Granadina?

Inostroza

Landi

González

et al. 2019

Animals

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Simple SummaryGenetic evaluations and the selection of breeding animals require the accurate estimation of genetic parameters for economically important traits. As a result, dairy livestock has evolved in response to the needs of producers and consumers. Genetic selection in goats has been mostly based on quantitative traits such as milk yield, fat, protein, and dry matter. However, as reported by the increased heritability values of these parameters after the inclusion of the different allelic variants of αS1 casein in evaluation models, the selection of animals carrying this gene could result in a more efficient genetic selection. High levels of genetic polymorphism (89.58% of polymorphic SNP—as only five out of the 48 SNPs assessed were monomorphic) that are related to greater production of coagulable proteins in milk, a fact that could be associated with a higher yield and improved curd firmness properties.AbstractA total of 2090 lactation records for 710 Murciano-Granadina goats were collected during the years 2005–2016 and analyzed to investigate the influence of the αS1-CN genotype on milk yield and components (protein, fat, and dry matter). Goats were genetically evaluated, including and excluding the αS1-CN genotype, in order to assess its repercussion on the efficiency of breeding models. Despite no significant differences being found for milk yield, fat and dry matter heritabilities, protein production heritability considerably increased after aS1-CN genotype was included in the breeding model (+0.23). Standard errors suggest that the consideration of genotype may improve the model’s efficiency, translating into more accurate genetic parameters and breeding values (PBV). Genetic correlations ranged from −0.15 to −0.01 between protein/dry matter and milk yield/protein and fat content, while phenotypic correlations were −0.02 for milk/protein and −0.01 for milk/fat or protein content. For males, the broadest range for reliability (RAP) (0.45–0.71) was similar to that of females (0.37–0.86) when the genotype was included. PBV ranges broadened while the maximum remained similar (0.61–0.77) for males and females (0.62–0.81) when the genotype was excluded, respectively. Including the αS1-CN genotype can increase production efficiency, milk profitability, milk yield, fat, protein and dry matter contents in Murciano-Granadina dairy breeding programs.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Does the Acknowledgement of αS1-Casein Genotype Affect the Estimation of Genetic Parameters and Prediction of Breeding Values for Milk Yield and Composition Quality-Related Traits in Murciano-Granadina?

Inostroza

Landi

González

et al. 2019

Animals

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“…The unweighted average direct heritability of the protein% was 0.53 ± 0.09 and the weighted average of direct heritability of protein% was 0.54 ± 0.068 (Jembere et al ). Similarly, the h 2 of milk yield at 90 days, milk yield at 140 days and total milk yield was 0.15 ± 0.05, 0.26 ± 0.07 and 0.25 ± 0.08 (Rout et al ). The protein% of the milk was not affected by nongenetic factors like parity, season of birth or birth type in Jamunapari goats.…”

Section: Discussionmentioning

confidence: 91%

“…Milk data and pedigree were available for Jamunapari goats at the India Council of Agricultural Research – Central Institute for Research on Goats (ICAR‐CIRG), Makhdoom, Mathura. The details of the genetic stocks have been described elsewhere (Rout et al ). The goats were maintained in a semi‐intensive system of management with six to seven hours of grazing.…”

Section: Methodsmentioning

confidence: 99%

Milk composition traits in Jamunapari goats: Genetic parameters and effect of CSN1S1 gene variants

Verma

Dige

Kaushik

et al. 2019

Int J of Dairy Tech

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Milk protein polymorphism was analysed to improve the protein content in milk. The present study characterises the CSN1S1 gene and the effect of allelic combinations on milk composition traits in Jamunapari goats. The allelic variants obtained from sodium dodecyl sulfate polyacrylamide gel electrophoresis and polymerase chain reaction–restriction fragment length polymorphism were confirmed by cloning and sequencing. Genetic parameters were obtained from 518 records from 48 sires and 131 dams. The A, B and F alleles were observed in the population and the protein percentage in milk was significantly (P < 0.01) affected by allelic variants. The frequencies of A, B and F alleles were 0.456, 0.503 and 0.041, respectively. The protein content in milk was highest in the goats with AB genotype followed by AA > BB > BF > AF > FF. The goats with AB genotype had a significantly (P < 0.01) higher protein percentage in milk than goats with BF (t = 5.311, df = 113), AF (t = 8.13, df = 123) and FF (t = 9.55, df = 115) genotypes. The direct heritability for protein percentage was 0.441. Parity and season of birth had significant effects (P < 0.05) on the solids‐not‐fat percentage and lactose concentrations. The CSN1S1 AA, AB and BB genotypes should be selected for higher protein content and to improve milk quality and processing traits in Indian goats.

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“…Therefore, through knowledge of the genetic architecture of economically important traits, it is possible to define the best dam selection strategy in order to increase Wistar rat production. Besides, evaluating the genetic trend of each trait over time is an important mechanism for monitoring the selection process and its efficiency in breeding programs (Rout et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Genetic parameter and genetic trend estimates for reproductive traits in Wistar rats

Tarôco

Paiva

Mourão

et al. 2020

Arq. Bras. Med. Vet. Zootec.

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The aim of this study was to estimate genetic parameters and genetic trends for reproductive traits in Wistar rats. A total of 1,167 data records from 283 females over six generations of monogamous mating pairs was used. Heritability and genetic correlation were estimated through Bayesian inference and genetic trends were calculated by linear regression of breeding values over generations. Heritability estimates for litter size at birth (LS), calving interval (CI), pup mortality (PM) and maternal cannibalism (CAN) presented low magnitude, ranging from 0.01 to 0.13. CAN presented high and positive genetic correlation with LS and PM (0.77 and 0.78, respectively). On the other hand, all the other estimated genetic correlations were not significant. Genetic trend was positive for LS (+0.0900 pups per generation), and negative for PM and CAN (-1.0085 and -0.5217 pups per generation, respectively). For CI the genetic trend was not significant. It is recommended to increase selection intensity on dams in this Wistar rat population in order to accelerate the genetic progress.

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Estimation of genetic parameters and genetic trends for milk yield traits in Jamunapari goats in semiarid tropics

Abstract: HighlightsThe heritability for milk yield traits were moderate to high.The repeatability estimates were moderate to high for milk yield traits.The genetic trends for milk yield traits were positive.Phenotypic trends for MY90, MY140 and TMY were positive.

Cited by 9 publications

References 30 publications

Does the Acknowledgement of αS1-Casein Genotype Affect the Estimation of Genetic Parameters and Prediction of Breeding Values for Milk Yield and Composition Quality-Related Traits in Murciano-Granadina?

Does the Acknowledgement of αS1-Casein Genotype Affect the Estimation of Genetic Parameters and Prediction of Breeding Values for Milk Yield and Composition Quality-Related Traits in Murciano-Granadina?

Milk composition traits in Jamunapari goats: Genetic parameters and effect of CSN1S1 gene variants

Genetic parameter and genetic trend estimates for reproductive traits in Wistar rats

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