Anastasia Bestin
Institut national de la recherche agronomique
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Publication
Featured researches published by Anastasia Bestin.
PLOS ONE | 2018
Martin Prchal; Antti Kause; Marc Vandeputte; David Gela; Jean-Michel Allamellou; Girish Kumar; Anastasia Bestin; Jérôme Bugeon; Jinfeng Zhao; Martin Kocour
Using farmed common carp, we investigated the genetic background of the second year overwintering performance and its relation to the performance during the third growing season and at market size. The experimental stock was established by partial factorial design with a series of 4 factorial matings of 5 dams and 10 sires each. The families were reared communally and pedigree was re-constructed with 93.6% success using 12 microsatellites on 2008 offspring. Three successive recordings (second autumn, third spring, and third autumn—market size) covering two periods (second overwintering, third growing season) were included. Body weight, Fulton’s condition factor and percent muscle fat content were recorded at all times and headless carcass yield and fillet yield were recorded at market size. Specific growth rate, absolute and relative fat change and overall survival were calculated for each period. Heritability estimates were significantly different from zero and almost all traits were moderately to highly heritable (h2 = 0.36–1.00), except survival in both periods and fat change (both patterns) during overwintering (h2 = 0.12–0.15). Genetic and phenotypic correlations imply that selection against weight loss and fat loss during overwintering is expected to lead to a better winter survival, together with a positive effect on growth in the third growing season. Interestingly, higher muscle fat content was genetically correlated to lower survival in the following period (rg = -0.59; -0.53, respectively for winter and the third summer). On the other hand, higher muscle fat was also genetically linked to better slaughter yields. Moreover, selection for higher condition factor would lead to better performance during winter, growing season and at market size.
Frontiers in Genetics | 2018
Martin Prchal; Jérôme Bugeon; Marc Vandeputte; Antti Kause; Alain Vergnet; Jinfeng Zhao; David Gela; Lucie Genestout; Anastasia Bestin; Pierrick Haffray; Martin Kocour
Common carp is a major aquaculture species worldwide, commonly sold alive but also as processed headless carcass or filets. However, recording of processing yields is impossible on live breeding candidates, and alternatives for genetic improvement are either sib selection based on slaughtered fish, or indirect selection on correlated traits recorded in vivo. Morphological predictors that can be measured on live fish and that correlate with real slaughter yields hence remain a possible alternative. To quantify the power of morphological predictors for genetic improvement of yields, we estimated genetic parameters of slaughter yields and various predictors in 3-year-old common carp reared communally under semi-intensive pond conditions. The experimental stock was established by a partial factorial design of 20 dams and 40 sires, and 1553 progenies were assigned to their parents using 12 microsatellites. Slaughter yields were highly heritable (h2 = 0.46 for headless carcass yield, 0.50 for filet yield) and strongly genetically correlated with each other (rg = 0.96). To create morphological predictors, external (phenotypes, 2D digitization) and internal measurements (ultrasound imagery) were recorded and combined by multiple linear regression to predict slaughter yields. The accuracy of the phenotypic prediction was high for headless carcass yield (R2 = 0.63) and intermediate for filet yield (R2 = 0.49). Interestingly, heritability of predicted slaughter yields (0.48–0.63) was higher than that of the real yields to predict, and had high genetic correlations with the real yields (rg = 0.84–0.88). In addition, both predicted yields were highly phenotypically and genetically correlated with each other (0.95 for both), suggesting that using predicted headless carcass yield in a breeding program would be a good way to also improve filet yield. Besides, two individual predictors (P1 and P2) included in the prediction models and two simple internal measurements (E4 and E23) exhibited intermediate to high heritability estimates (h2 = 0.34 – 0.72) and significant genetic correlations to the slaughter yields (rg = |0.39 – 0.83|). The results show that there is a solid potential for genetic improvement of slaughter yields by selecting for predictor traits recorded on live breeding candidates of common carp.
Aquaculture | 2017
Marc Vandeputte; Antonio Puledda; Anne Sophie Tyran; Anastasia Bestin; Céline Coulombet; Aline Bajek; Gwénaëlle Baldit; Alain Vergnet; François Allal; Jérôme Bugeon; Pierrick Haffray
BMC Genetics | 2018
Muhammad L Aslam; Roberta Carraro; Anastasia Bestin; Sophie Cariou; Anna K. Sonesson; Jean-Sébastien Bruant; Pierrick Haffray; Luca Bargelloni; Theo H. E. Meuwissen
Aquaculture | 2018
Clémence Fraslin; Mathilde Dupont-Nivet; Pierrick Haffray; Anastasia Bestin; Marc Vandeputte
Aquaculture | 2018
Héctor Rodrigo Nolasco-Alzaga; Ricardo Perez-Enriquez; Florian Enez; Anastasia Bestin; Elena Palacios-Mechetnov; Pierrick Haffray
Proceedings of the World Congress on Genetics Applied to Livestock Production | 2018
Christos Palaiokostas; Martin Kocour; Tomas Vesely; Sophie Cariou; Anastasia Bestin; Jean-Sébastien Bruant; Pierrick Haffray; Thierry Morin; François Allal; Martin Prchal; Dagmar Pokorová; V. Piackova; Lubomir Pojezdal; Marc Vandeputte; Ross Houston
Genetics Selection Evolution | 2018
Christos Palaiokostas; Sophie Cariou; Anastasia Bestin; Jean-Sébastien Bruant; Pierrick Haffray; Thierry Morin; Joëlle Cabon; François Allal; Marc Vandeputte; Ross Houston
Aquaculture Europe 2014 | 2014
Anastasia Bestin; Mathilde Dupont-Nivet; Françoise Médale; Edwige Quillet; Marc Vandeputte; Sophie Cariou; A. Desgranges; Stanislas Laureau; R. Ricoux; C. Beutin; Pierrick Haffray
4. Journées de la Recherche Filière Piscicole | 2014
Anastasia Bestin; Mathilde Dupont-Nivet; Françoise Médale; Edwige Quillet; Marc Vandeputte; Sophie Cariou; Alexandre Desgranges; Stanislas Laureau; R. Ricoux; Catherine Beutin; Pierrick Haffray