Factores genéticos que inciden en la resistencia a enfermedades infecciosas en salmónidos y su aplicación en programas de mejoramiento

Yáñez, JM; Martínez, Vicente

doi:10.4067/s0301-732x2010000200002

Cited by 8 publications

(5 citation statements)

References 80 publications

(1 reference statement)

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“…Therefore, challenge tests will often be more accurate and reliable than field outbreaks, due to decreased environmental variability and higher practical feasibility. In fact, challenge testing is currently used to select for resistance to viral, bacterial, and parasitic diseases in breeding programs for Atlantic salmon and rainbow trout ( Gjøen and Bentsen, 1997 ; Leeds et al, 2010 ; Yáñez and Martínez, 2010 ; Ødegård et al, 2011 ; Gjedrem, 2012 ; Wiens et al, 2013a ).…”

Section: Conventional Breeding For Disease Resistance In Salmonidsmentioning

confidence: 99%

“…Heritability is the proportion of the total phenotypic variance that is attributable to additive genetic variation ( Falconer and Mackay, 1996 ). For disease resistance traits, heritability estimates can vary due to differences in trait definitions and the statistical models used in the analysis ( Yáñez and Martínez, 2010 ; Ødegård et al, 2011 ). For example, some studies consider the binary trait of survival or mortality as a measure of resistance, whereas others consider the survival time following challenge.…”

Section: Conventional Breeding For Disease Resistance In Salmonidsmentioning

confidence: 99%

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Genetics and genomics of disease resistance in salmonid species

Yáñez¹,

Houston

Newman

2014

Front. Genet.

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Infectious and parasitic diseases generate large economic losses in salmon farming. A feasible and sustainable alternative to prevent disease outbreaks may be represented by genetic improvement for disease resistance. To include disease resistance into the breeding goal, prior knowledge of the levels of genetic variation for these traits is required. Furthermore, the information from the genetic architecture and molecular factors involved in resistance against diseases may be used to accelerate the genetic progress for these traits. In this regard, marker assisted selection and genomic selection are approaches which incorporate molecular information to increase the accuracy when predicting the genetic merit of selection candidates. In this article we review and discuss key aspects related to disease resistance in salmonid species, from both a genetic and genomic perspective, with emphasis in the applicability of disease resistance traits into breeding programs in salmonids.

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Section: Conventional Breeding For Disease Resistance In Salmonidsmentioning

confidence: 99%

Section: Conventional Breeding For Disease Resistance In Salmonidsmentioning

confidence: 99%

Genetics and genomics of disease resistance in salmonid species

Yáñez¹,

Houston

Newman

2014

Front. Genet.

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“…In recent years, selective breeding for disease resistance has received increasing importance in aquaculture breeding programmes worldwide (Gitterle et al, 2006;Guy et al, 2009;Krishna et al, 2011;Kube et al, 2012;Lhorente et al, 2012;Liu et al, 2016;Mahapatra et al, 2009;Moss et al, 2013;Ødegård, Olesen, Gjerde, & Klemetsdal, 2006;Ødegård et al, 2010;Ødegård et al, 2011;Taylor et al, 2009;Wang et al, 2014;Xu et al, 2010;Yáñez & Martínez, 2010;Yáñez et al, 2013). Genetic variation in the rate of survival has been estimated using different trait definition by cross-sectional and longitudinal models (Gitterle et al, 2006;Liu et al, 2016;Mahapatra et al, 2009;Ødegård et al, 2006;Ødegård et al, 2011;Taylor et al, 2009;Yáñez et al, 2013; (Taylor et al, 2009) 15, 0.24, 0.18, 0.11, 0.41 and 0.25, respectively (Yáñez et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

“…The economic importance of selective breeding for disease resistance in aquaculture species has led to the estimation of genetic parameters, aiming for genetic improvement. In previous studies, resistance was measured from survival rates after experimental infections (Gitterle Ødegård, Gjerde, Rye, & Salte, 2006;Guy, Bishop, Woolliams, & Brotherston, 2009;Krishna et al, 2011;Kube, Taylor, & Elliott, 2012;Lhorente, Gallardo, Villanueva, & Araya, 2012;Liu et al, 2016;Mahapatra et al, 2009;Moss, Moss, & Lotz, 2013;Ødegård, Baranski, Gjerde, & Gjedrem, 2011;Ødegård, Sommer, & Praebel, 2010;Wang et al, 2014;Xu, Chen, & Zhang, 2010;Yáñez & Martínez, 2010;Yáñez et al, 2013). Statistical models for analysis of survival data (e.g., proportional hazard frailty model and threshold model) can be longitudinal or cross-sectional (Yáñez et al, 2013).…”

mentioning

confidence: 99%

Genetic parameters for resistance against Vibrio anguillarum in turbot Scophthalmus maximus

Wang

2019

Journal of Fish Diseases

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Genetic parameters for resistance to Vibrio anguillarum in Scophthalmus maximus were estimated using three different statistical models. Data were recorded from an experimental infection performed on 2,400 individuals from 30 full‐sib groups. Cross‐sectional linear model and cross‐sectional threshold probit model were used to analyse the test‐period survival; the cross‐sectional threshold logit models were used to analyse the test‐day survival. The heritability values estimated by cross‐sectional linear model (CSL), cross‐sectional threshold (probit) model (THRp) and cross‐sectional threshold (logit) model (THRl) were 0.202 ± 0.101, 0.296 ± 0.168 and 0.110 ± 0.023, respectively. The correlation coefficients between the full‐sib families’ estimated breeding values (EBVs) based on these three models were over 0.993. An almost identical ranking of families was generated using any of these models. Accuracy of selection using CSL, THRp and THRl models was 0.783, 0.789 and 0.801, respectively. Accuracy of selection based on the THRl model was higher than that based on CSL and THRp models.

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“…; Navarro et al . ) and previous information on the genetic architecture affecting the traits of interest are essential to implement them (Yáñez & Martínez ).…”

Section: Introductionmentioning

confidence: 99%

Changes of heritability and genetic correlations in production traits over time in red abalone (Haliotis rufescens) under culture

et al. 2014

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Red abalone Haliotis rufescens is one of the most valuable mollusks in the international market, but it has a low growth rate. A breeding program is being developed to increase its growth rate in Chile. We estimated the changes in direct heritability (h2), maternal/common environments heritability (m2) and genetic correlations (rG) of growth traits (shell length and width, total mass, flesh mass and foot protein as an indicator of meat quality) measured during 2 years (every 4 months) from the juvenile stage (27 months) to the adult harvesting age (51 months), in 60 full‐sib red abalone families. Heritabilities for growth traits measured in juveniles and young adults (27–35 months of age), were low (0.07–0.17) and not significant. Initial low h2 were associated with significant amounts of maternal/common environmental effects (m2 = 0.4). In young adults and abalone near the harvest age (39–51 months of age) h2 were much higher (0.32–0.75). These results emphasize the importance of multiple estimations of h2 over time. Among meat quality traits, only the h2 for the flesh mass for adults at harvesting age was significant (0.15). We observed strong positive rG (>0.9) between shell sizes (easy to measure) and total and flesh masses (trait more related to market value than shell sizes but harder to measure) for adults at harvesting age. Thus, if the 5% largest 51 month old abalone were selected from the population as broodstock we expect a positively correlated response on flesh mass of 23.4%.

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Factores genéticos que inciden en la resistencia a enfermedades infecciosas en salmónidos y su aplicación en programas de mejoramiento

Cited by 8 publications

References 80 publications

Genetics and genomics of disease resistance in salmonid species

Genetics and genomics of disease resistance in salmonid species

Genetic parameters for resistance against Vibrio anguillarum in turbot Scophthalmus maximus

Changes of heritability and genetic correlations in production traits over time in red abalone (Haliotis rufescens) under culture

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