Genetic and environmental variance and covariance parameters for some reproductive traits of Holstein and Jersey cattle in Antioquia (Colombia)

Zambrano, Juan Carlos Arandia; Echeverri, Julián

doi:10.1590/s1516-35982014000300005

Cited by 23 publications

(53 citation statements)

References 19 publications

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“…The estimate of repeatability for SF in this study (0.021) was lower than obtained result in the Holstein breed by Jamdar and Eskandarinasab (2014) (0.077). For IO, the repeatability value found for Holstein dairy cattle (0.411) was higher than those reported by Ríos-Ultrera, Calderón, Rosete, and Lagunes (2010b) and Zambrano and Echeverri (2014) which were 0.03 in Brown Swiss cattle and 0.076 in Holstein-Jersey, respectively. Finally, the estimated repeatability for CBW was 0.142, which was lower than 0.29 obtained by Johanson et al (2011).…”

Section: Additive Genetic and Phenotypic Correlationscontrasting

confidence: 61%

“…The phenotypic correlation between CI and DO in this study was high and positive, with value of 0.99. González-Recio and Alenda (2005), Ghiasi et al (2011), Eghbalsaied (2011 and Zambrano and Echeverri (2014) reported similar estimates for Holstein dairy cattle (0.91, 0.95, 0.99 and 1 respectively). Likewise, the phenotypic correlation between NI and CI was high (0.83).…”

Section: Additive Genetic and Phenotypic Correlationsmentioning

confidence: 67%

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<b>Genetic analysis of fertility traits of Holstein dairy cattle in warm and temperate climate

Rahbar

Aminafshar

Abdullahpour

et al. 2016

Acta Sci. Anim. Sci.

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ABSTRACT. The edited data set for the estimation of heritability, genetic and phenotypic correlations of fertility traits contained up to 23,402 records from 10,894 cows calved between 2001 and 2015. Heritability estimates for success in first service (FS), gestation length (GL), number of inseminations (NI), insemination outcome (IO), calving interval (CI), calving birth weight (CBW) and days open (DO) were low and ranged between 0.016 (DO) and 0.123 (GL). Repeatability of fertility traits was estimated to vary from 0.021 (FS) to 0.411 (IO). The genetic correlations between DO × CI, DO × NI and CI × NI were positive and nearly perfect (0.98, 0.88 and 0.88, respectively), while those between DO × IO and CI × IO were negative (-0.98 and -1, respectively). Further, the phenotypic correlations between DO × CI, DO × NI, CI × NI, CBW × IO and SF × IO were 0.99, 0.83, 0.83, 0.99 and 1, respectively, while those between DO × IO, CI × IO, GL × IO and NI × IO were -0.99, -0.99, -0.99 and -1, respectively. Overall genetic parameters imply a good practical management in heat stress conditions will be essential for improving fertility efficiency.Keywords: heritability, repeatability, genetic correlation, phenotypic correlation, heat stress. Análise genética de traços de fertilidade em vacas leiteiras Holstein em climas quentes e temperadosRESUMO. Os dados editados para definir a estimativa de herdabilidade, correlações genéticas e fenotípicas de características de fertilidade continham até 23,402 registros a partir de 10,894 vacas paridas entre 2001 e 2015. As estimativas de herdabilidade para o sucesso no primeiro serviço (SF), duração da gestação (GL), número de inseminações (NI), resultado de inseminação (IO), intervalo entre partos (CI), peso ao nascer (CBW) e dias abertos (DO) foram baixas e variaram entre 0,016 (DO) e 0,123 (GL). A repetitividade das características de fertilidade foi estimada e variou entre 0,021 (SF) e 0,411 (IO). A correlação genética entre DO × CI, DO × NI e CI × NI foi positiva e quase perfeita (0,98, 0,88 e 0,88, respectivamente), enquanto que aquela entre DO × IO e CI × IO foi negativa (-0,98 e -1, respectivamente). A correlação fenotípica entre DO × CI, DO × NI, CI × NI, CBW × IO e SF × IO foi 0,99, 0,83, 0,83, 0,99 e 1, respectivamente, enquanto aquela entre DO × IO, CI × IO, GL × IO e NI × IO foi -0,99, -0,99, -0,99 e -1, respectivamente. Os parâmetros genéticos constatados implicam que será essencial uma gestão bem prática na condição de estresse por calor para melhoria da eficiência da fertilidade.Palavras-chave: herdabilidade, repetitividade, correlação genética, correlação fenotípica, estresse por calor.

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Section: Additive Genetic and Phenotypic Correlationscontrasting

confidence: 61%

Section: Additive Genetic and Phenotypic Correlationsmentioning

confidence: 67%

<b>Genetic analysis of fertility traits of Holstein dairy cattle in warm and temperate climate

Rahbar

Aminafshar

Abdullahpour

et al. 2016

Acta Sci. Anim. Sci.

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“…These results may be associated with the fact that growth and lactation occur in parallel in first parities, since usually the adult size of females has not been reached and σ σ = nutrients consumed during this period can be used for maintenance, growth and lactation, which affects fertility and causes the extension of postpartum anestrus. In addition, DO derived from this study may differ from those reported by other authors considering that the aforementioned trait depends largely on livestock feed, as well as health and reproductive management, which often vary among herds (Zambrano and Echeverri, 2014).…”

Section: Discussioncontrasting

confidence: 71%

“…There is much literature on the estimation of variance components in reproductive traits in dairy cattle (Oseni et al, 2004;Chang et al, 2006;Restrepo et al, 2008;Estrada-León et al, 2008;Ghiasi et al, 2011;Zambrano and Echeverri, 2014) and most agree that heritability varies between 0.03 and 0.08. Literature on beef cattle is scarce.…”

Section: Discussionmentioning

confidence: 99%

Genetic parameters of days open in Charolais cattle of Cuba

Espinosa¹,

Peña

Espinoza

et al. 2016

Rev Colomb Cienc Pecu

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Parámetros genéticos de los días abiertos en ganado Charolais de Cuba Parâmetros genéticos dos dias vazios no gado Charolês de Cuba (Received: December 12, 2014; accepted: September 3, 2015) doi: 10.17533/udea.rccp.v29n1a02 Original Articles were considered. The WOMBAT program was used to estimate variance components. Three models were applied; an univariate model (UM) for each separate parity until the sixth calving; a repeatability model (RM) with all parities; and a random regression model (ARM) taking the number of calving as an independent variable. Results: the overall average for DO was 171 ± 93 days. The trend of the average value for DO in each calving was decreasing from the first to the tenth parity, with a seasonal performance around 155 days between the fourth and eighth calving. DO heritability estimated by UM was variable, with values of 0.03 for the first calving and 0.06 for the sixth. These variations cannot be observed with RM that estimated a heritability of 0.06. Values of 0.05 in the first calving until 0.07 in the tenth were estimated with ARM. Genetic correlations among DO for different parities were close to unity. Conclusions: changes of the estimated heritability for DO through the productive life of a female can be observed with ARM. The heritability estimates were low and did not differ from the results reported in other beef cattle breeds.

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“…However, SC showed a low genetic association and a moderate environmental relationship with the ICC and CI (Table 4). Genetic and environmental correlation between CI and ICC close to the unit indicates that the same genes and environmental factors affect the expression of both characteristics (8,31) . Estimates of genetic correlations between CI and ICC are scarce.…”

mentioning

confidence: 97%

Factores ambientales y parámetros genéticos para algunas características reproductivas en bovinos Chacuba

Villavicencio¹,

Rizo

Iglesias³

et al. 2015

Rev. Mex. Cienc. Pecu.

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RESUMEN ABSTRACTThe aim of the study was to analyze the impact of environmental factors as well as to estimate components of (co) variance of reproductive traits in Chacuba cattle. For that, 4,957 records of cows, daughters of 893 dams and 110 sires were used. Models that considered number of parity, calf sex, and contemporary group (herd-year-season of calving) as fixed effects were tested. The season of calving was included as every two, three, four and six months. The interval from calving to conception (ICC), calving interval (CI), and services per conception (SC) were the traits analyzed with uni and multitrait models using the software ASReml. The parity (P<0.01) and the contemporary groups (P<0.01) significantly affected the reproductive traits; however, the calf sex (P>0.05) was not. The heritability for the traits analyzed were low with values of 0.14±0.02, 0.15±0.02 and 0.04±0.01 for ICC, CI and SC, respectively. Genetic correlations were high between ICC and CI (0.99±0.43) but low between ICC and SC (0.10±0.14) and between CI and SC (0.09±0.11). Genetics parameters estimation models for the traits ICC, CI, and SC for Chacuba cows should consider parity and herd-year-quarter contemporary groups. Indirect selection for the calving interval using the interval calving-conception, can be implemented given the genetic correlation between these traits.

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Genetic and environmental variance and covariance parameters for some reproductive traits of Holstein and Jersey cattle in Antioquia (Colombia)

Cited by 23 publications

References 19 publications

<b>Genetic analysis of fertility traits of Holstein dairy cattle in warm and temperate climate

<b>Genetic analysis of fertility traits of Holstein dairy cattle in warm and temperate climate

Genetic parameters of days open in Charolais cattle of Cuba

Factores ambientales y parámetros genéticos para algunas características reproductivas en bovinos Chacuba

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