Genetic parameter estimates for buffalo milk yield, milk quality and mozzarella production and Bayesian inference analysis of their relationships

Aspilcueta-Borquis, Rusbel Raúl; Palo, R. Di; Neto, Francisco Ribeiro de Araujo; Baldi, Fernando; Camargo, Gregório Miguel Ferreira de; Albuquerque, Lúcia Galvão de; Zicarelli, L.; Tonhati, Humberto

doi:10.4238/vol9-3gmr846

Cited by 22 publications

(13 citation statements)

References 13 publications

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“…In this study, the estimated heritability for milk yield was lower than previously reported for buffaloes in Brazil: 0.30, 0.25, and 0.28 [ 11 , 25 , 26 ], respectively, but was higher than that reported in Italy 0.14 [ 21 ], Brazil 0.22 [ 27 ] and Colombia 0.22 [ 28 ].…”

Section: Discussioncontrasting

confidence: 89%

Genetic Evaluation of Dual-Purpose Buffaloes (Bubalus bubalis) in Colombia Using Principal Component Analysis

2015

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Genealogy and productive information of 48621 dual-purpose buffaloes born in Colombia between years 1996 and 2014 was used. The following traits were assessed using one-trait models: milk yield at 270 days (MY270), age at first calving (AFC), weaning weight (WW), and weights at the following ages: first year (W12), 18 months (W18), and 2 years (W24). Direct additive genetic and residual random effects were included in all the traits. Maternal permanent environmental and maternal additive genetic effects were included for WW and W12. The fixed effects were: contemporary group (for all traits), sex (for WW, W12, W18, and W24), parity (for WW, W12, and MY270). Age was included as covariate for WW, W12, W18 and W24. Principal component analysis (PCA) was conducted using the genetic values of 133 breeding males whose breeding-value reliability was higher than 50% for all the traits in order to define the number of principal components (PC) which would explain most of the variation. The highest heritabilities were for W18 and MY270, and the lowest for AFC; with 0.53, 0.23, and 0.17, respectively. The first three PCs represented 66% of the total variance. Correlation of the first PC with meat production traits was higher than 0.73, and it was -0.38 with AFC. Correlations of the second PC with maternal genetic component traits for WW and W12 were above 0.75. The third PC had 0.84 correlation with MY270. PCA is an alternative approach for analyzing traits in dual-purpose buffaloes and reduces the dimension of the traits.

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Section: Discussioncontrasting

confidence: 89%

Genetic Evaluation of Dual-Purpose Buffaloes (Bubalus bubalis) in Colombia Using Principal Component Analysis

2015

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“…The repeatability of the models was low, preventing to predict future productions in the first lactations. Similar or higher estimates of repeatability were found by Ramos et al (2013) The heritabilities of the models MP270 (0.22) and MP305 (0.23) were similar to those found in the literature for buffaloes with adjustments for 270 days (Malhado et al, 2007;Rodrigues et al, 2010) and for 305 days (Aspilcueta-Borquis et al, 2010).…”

Section: Resultssupporting

confidence: 75%

Editing and modeling of milk production data for genetic evaluation of Murrah buffaloes

Souza

Rezende

Carneiro

et al. 2017

Pesq. agropec. bras.

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-The objective of this work was to assess the effect of editing and modeling of milk production data for genetic evaluation of Murrah buffaloes. Six strategies for evaluating milk production were analyzed: observed milk production (OMP); adjustment of milk production data to 305 (MP305) and 270 (MP270) days of lactation; removal of the 5 (MP5%) and 10% (MP10%) shortest lactation periods; and milk production along the lactation period as linear covariate (MPCO). Genetic parameters were estimated using the Bayesian inference, with heritability estimates of 0.19 to 0.23 and repeatability estimates of 0.35 to 0.36. Sires classified by OMP were high correlated to those classified by the other models, however, correlations to MP270, MP305 and MPCO decreased when considering only the best 20% sires. OMP showed greater differences in absolute mean deviations when compared with MPCO, MP270 and MP305. The strategies of analysis had similar heritabilities and stabilities. However, changes in the ranking of sires with better classifications, due to overestimation of genetic values, as occurred in the models MP305, MP270 and MPCO, may lead to a decrease in the genetic progress of the herd.Index terms: Bubalus bubalis, lactation period, genetic parameters, bull summary. Edição e modelagem de dados de produção de leite para avaliação genética de buffalos de MurrahResumo -O objetivo deste trabalho foi verificar as consequências da edição e modelagem da produção de leite para avaliação genética de bubalinos da raça Murrah. Foram analisadas seis estratégias para avaliação da produção de leite: produção de leite observada (PL_OBS); ajuste para a produção de leite aos 305 dias (PL_305) e aos 270 dias (PL_270); exclusões dos 5 e 10% menores períodos de lactação (PL_5% e PL_10%) e duração da lactação como covariável linear (PL_CO). Os parâmetros genéticos foram estimados por meio de inferência Bayesiana, com estimativas de herdabilidades e repetibilidades de 0,19 a 0,23 e 0,35 a 0,36, respectivamente. Touros classificados pelo PL_OBS apresentaram altas correlações com os que foram classificados pelos outros modelos. Contudo, ao considerar apenas os 20% melhores touros, verificou-se diminuição das correlações de PL_270, PL_305 e PL_CO com PL_OBS. Maiores diferenças dos desvios médios absolutos do PL_OBS foram com PL_CO, PL_270 e PL_305. As estratégias de análise apresentaram herdabilidades e estabilidade semelhantes. Contudo, as inversões de posições dos touros com melhores classificações, como consequencia das superestimativas dos valores genéticos nos modelos PL305, PL270 e PL_CO podem acarretar em diminuição do progresso genético nos rebanhos.Termos para indexação: Bubalus bubalis, duração da lactação, parâmetros genéticos, sumário de touros.

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“…On average, buffaloes have higher contents of milk fat than cattle. In buffaloes the percentage of milk fat ranges from 6.7 % to 12.0 % [ 11 , 50 – 52 ], while in cattle it ranges from 3.1 % to 4.5 % [ 53 , 54 ]. The difference in milk fat might be explained by a more efficient acetate metabolism to produce lipids in buffaloes, as the results suggest.…”

Section: Resultsmentioning

confidence: 99%

Prospecting major genes in dairy buffaloes

et al. 2015

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BackgroundAsian buffaloes (Bubalus bubalis) have an important socio-economic role. The majority of the population is situated in developing countries. Due to the scarce resources in these countries, very few species-specific biotechnology tools exist and a lot of cattle-derived technologies are applied to buffaloes. However, the application of cattle genomic tools to buffaloes is not straightforward and, as results suggested, despite genome sequences similarity the genetic polymorphisms are different.ResultsThe first SNP chip genotyping platform designed specifically for buffaloes has recently become available. Herein, a genome-wide association study (GWAS) and gene network analysis carried out in buffaloes is presented. Target phenotypes were six milk production and four reproductive traits. GWAS identified SNP with significant associations and suggested candidate genes that were specific to each trait and also genes with pleiotropic effect, associated to multiple traits.ConclusionsNetwork predictions of interactions between these candidate genes may guide further molecular analyses in search of disruptive mutations, help select genes for functional experiments and evidence metabolism differences in comparison to cattle. The cattle SNP chip does not offer an optimal coverage of buffalo genome, thereafter the development of new buffalo-specific genetic technologies is warranted. An annotated reference genome would greatly facilitate genetic research, with potential impact to buffalo-based dairy production.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-015-1986-2) contains supplementary material, which is available to authorized users.

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Genetic parameter estimates for buffalo milk yield, milk quality and mozzarella production and Bayesian inference analysis of their relationships

Cited by 22 publications

References 13 publications

Genetic Evaluation of Dual-Purpose Buffaloes (Bubalus bubalis) in Colombia Using Principal Component Analysis

Genetic Evaluation of Dual-Purpose Buffaloes (Bubalus bubalis) in Colombia Using Principal Component Analysis

Editing and modeling of milk production data for genetic evaluation of Murrah buffaloes

Prospecting major genes in dairy buffaloes

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