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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite; Embrapa Rondônia. |
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Data corrente: |
09/02/2017 |
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Data da última atualização: |
09/02/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PFEIFER, L. F. M.; CASTRO, N. A.; NEVES, P. M. A.; CESTARO, J. P.; SIQUEIRA, L. G. B. |
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Afiliação: |
LUIZ FRANCISCO MACHADO PFEIFER, CPAF-Rondonia; Natália A. Castro, UFPel; Paulo M.A. Neves, FIMCA; Jamyle P. Cestaro, FIMCA; LUIZ GUSTAVO BRUNO SIQUEIRA, CNPGL. |
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Título: |
Development and validation of an objective method for the assessment of body condition scores and selection of beef cows for timed artificial insemination. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Livestock Science, v. 197, p. 82-87, 2017. |
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Idioma: |
Inglês |
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Conteúdo: |
The objectives of this study were to: 1) evaluate the relationship of the angle formed between the left and right sides of the rump with body condition score (BCS) in cattle; and 2) develop an objective tool to select cows for timed artificial insemination (TAI) based on their BCS. In Experiment 1, 801 lactating Nelore cows, 3?12 years old and weighing 400?625 kg were enrolled. All females were evaluated according to BCS (scale 1?5). In addition, the angle formed between both sides of the rump was measured in all cows with a goniometer. The relationship between BCS and the rump angle was analyzed by linear regression. There was a positive relationship between BCS and rump angle (P<0.0001). The linear regression equation was angle =77.76+9.94 x BCS; R2=0.67. The aim of Experiment 2 was to evaluate BCS in a simple, direct and objective way using rump angle and related BCS to TAI performance. A device was developed called Vetscore® to determine BCS according to rump angle. Using the Vetscore, cows were classified into three different categories of BCS using a color-based method: red, BCS<2.75; green, BCS between 2.75 and 4.5; and yellow, BCS>4.5. A total of 429 Nelore suckling cows, 4?8 years old, were subjected to a TAI protocol based on estradiol benzoate, exogenous progesterone, prostaglandin F2α, equine chorionic gonadotropin and estradiol cypionate. At Day 0, all cows were evaluated with the Vetscore® and classified according to the device's BCS color scale. Pregnancy diagnosis was performed by ultrasonography 30 d after TAI. Pregnancy per AI (P/AI) was analyzed using the chi-square test. A good level of agreement was observed between Vetscore's scale and visual BCS (82.9%). Cows classified as ?green? had higher P/AI than cows classified as ?red? and ?yellow? (60.4%, 168 of 278; 42.4%, 61 of 144; and 28.6%, 2 of 7; respectively; P<0.001). These results demonstrate that Vetscore® is an efficient and low-cost methodology for the assessment of BCS and, indirectly, nutritional status of beef cows. Finally, cows classified as adequate according to Vetscore® color scale had higher P/AI at 30 d compared with those considered inadequate. MenosThe objectives of this study were to: 1) evaluate the relationship of the angle formed between the left and right sides of the rump with body condition score (BCS) in cattle; and 2) develop an objective tool to select cows for timed artificial insemination (TAI) based on their BCS. In Experiment 1, 801 lactating Nelore cows, 3?12 years old and weighing 400?625 kg were enrolled. All females were evaluated according to BCS (scale 1?5). In addition, the angle formed between both sides of the rump was measured in all cows with a goniometer. The relationship between BCS and the rump angle was analyzed by linear regression. There was a positive relationship between BCS and rump angle (P<0.0001). The linear regression equation was angle =77.76+9.94 x BCS; R2=0.67. The aim of Experiment 2 was to evaluate BCS in a simple, direct and objective way using rump angle and related BCS to TAI performance. A device was developed called Vetscore® to determine BCS according to rump angle. Using the Vetscore, cows were classified into three different categories of BCS using a color-based method: red, BCS<2.75; green, BCS between 2.75 and 4.5; and yellow, BCS>4.5. A total of 429 Nelore suckling cows, 4?8 years old, were subjected to a TAI protocol based on estradiol benzoate, exogenous progesterone, prostaglandin F2α, equine chorionic gonadotropin and estradiol cypionate. At Day 0, all cows were evaluated with the Vetscore® and classified according to the device's BCS color scale. Pregnancy... Mostrar Tudo |
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Palavras-Chave: |
Fertility; Gravidez; Inseminação artificial cronometrada; Timed artificial insemination. |
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Thesagro: |
Condição Corporal; Fertilidade. |
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Thesaurus Nal: |
body condition; cattle; pregnancy. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/155103/1/PFEIFER-etal-LivSci-Vetscore.pdf
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Marc: |
LEADER 03057naa a2200277 a 4500
001 2063261
005 2017-02-09
008 2017 bl uuuu u00u1 u #d
100 1 $aPFEIFER, L. F. M.
245 $aDevelopment and validation of an objective method for the assessment of body condition scores and selection of beef cows for timed artificial insemination.$h[electronic resource]
260 $c2017
520 $aThe objectives of this study were to: 1) evaluate the relationship of the angle formed between the left and right sides of the rump with body condition score (BCS) in cattle; and 2) develop an objective tool to select cows for timed artificial insemination (TAI) based on their BCS. In Experiment 1, 801 lactating Nelore cows, 3?12 years old and weighing 400?625 kg were enrolled. All females were evaluated according to BCS (scale 1?5). In addition, the angle formed between both sides of the rump was measured in all cows with a goniometer. The relationship between BCS and the rump angle was analyzed by linear regression. There was a positive relationship between BCS and rump angle (P<0.0001). The linear regression equation was angle =77.76+9.94 x BCS; R2=0.67. The aim of Experiment 2 was to evaluate BCS in a simple, direct and objective way using rump angle and related BCS to TAI performance. A device was developed called Vetscore® to determine BCS according to rump angle. Using the Vetscore, cows were classified into three different categories of BCS using a color-based method: red, BCS<2.75; green, BCS between 2.75 and 4.5; and yellow, BCS>4.5. A total of 429 Nelore suckling cows, 4?8 years old, were subjected to a TAI protocol based on estradiol benzoate, exogenous progesterone, prostaglandin F2α, equine chorionic gonadotropin and estradiol cypionate. At Day 0, all cows were evaluated with the Vetscore® and classified according to the device's BCS color scale. Pregnancy diagnosis was performed by ultrasonography 30 d after TAI. Pregnancy per AI (P/AI) was analyzed using the chi-square test. A good level of agreement was observed between Vetscore's scale and visual BCS (82.9%). Cows classified as ?green? had higher P/AI than cows classified as ?red? and ?yellow? (60.4%, 168 of 278; 42.4%, 61 of 144; and 28.6%, 2 of 7; respectively; P<0.001). These results demonstrate that Vetscore® is an efficient and low-cost methodology for the assessment of BCS and, indirectly, nutritional status of beef cows. Finally, cows classified as adequate according to Vetscore® color scale had higher P/AI at 30 d compared with those considered inadequate.
650 $abody condition
650 $acattle
650 $apregnancy
650 $aCondição Corporal
650 $aFertilidade
653 $aFertility
653 $aGravidez
653 $aInseminação artificial cronometrada
653 $aTimed artificial insemination
700 1 $aCASTRO, N. A.
700 1 $aNEVES, P. M. A.
700 1 $aCESTARO, J. P.
700 1 $aSIQUEIRA, L. G. B.
773 $tLivestock Science$gv. 197, p. 82-87, 2017.
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Registro original: |
Embrapa Rondônia (CPAF-RO) |
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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste; Embrapa Pecuária Sul; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
17/11/2020 |
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Data da última atualização: |
17/11/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
CAVANI, L.; BRAZ, C. U.; GIGLIOTI, R.; OKINO, C. H.; GULIAS GOMES, C. C.; CAETANO, A. R.; OLIVEIRA, M. C. de S.; CARDOSO, F. F.; OLIVEIRA, H. N. de. |
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Afiliação: |
LIGIA CAVANI, UNESP; CAMILA URBANO BRAZ, UNESP; RODRIGO GIGLIOTI, Instituto de Zootecnia; CINTIA HIROMI OKINO, CPPSE; CLAUDIA CRISTINA GULIAS GOMES, CPPSUL; ALEXANDRE RODRIGUES CAETANO, Cenargen; MARCIA CRISTINA DE SENA OLIVEIRA, CPPSE; FERNANDO FLORES CARDOSO, CPPSUL; HENRIQUE NUNES DE OLIVEIRA, UNESP. |
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Título: |
Genomic study of Babesia bovis infection level and its association with tick count in Hereford and Braford cattle. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Frontiers in Immunology, v. 11, article 1905, aug. 2020. |
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Páginas: |
11 p. |
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DOI: |
https://doi.org/10.3389/fimmu.2020.01905 |
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Idioma: |
Inglês |
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Conteúdo: |
Bovine babesiosis is a tick-borne disease caused by intraerythrocytic protozoa and leads to substantial economic losses for the livestock industry throughout the world. Babesia bovis is considered the most pathogenic species, which causes bovine babesiosis in Brazil. Genomic data could be used to evaluate the viability of improving resistance against B. bovis infection level (IB) through genomic selection, and, for that, knowledge of genetic parameters is needed. Furthermore, genome-wide association studies (GWAS) could be conducted to provide a better understanding of the genetic basis of the host response to B. bovis infection. No previous work in quantitative genetics of B. bovis infection was found. Thus, the objective of this study was to estimate the genetic correlation between IB and tick count (TC), evaluate predictive ability and applicability of genomic selection, and perform GWAS in Hereford and Braford cattle. The single-step genomic best linear unbiased prediction method was used, which allows the estimation of both breeding values and marker effects. Standard phenotyping was conducted for both traits. IB quantifications from the blood of 1,858 animals were carried using quantitative PCR assays. For TC, one to three subsequent tick counts were performed by manually counting adult female ticks on one side of each animal's body that was naturally exposed to ticks. Animals were genotyped using the Illumina BovineSNP50 panel. The posterior mean of IB heritability, estimated by the Bayesian animal model in a bivariate analysis, was low (0.10), and the estimations of genetic correlation between IB and TC were also low (0.15). The cross-validation genomic prediction accuracy for IB ranged from 0.18 to 0.35 and from 0.29 to 0.32 using k-means and random clustering, respectively, suggesting that genomic predictions could be used as a tool to improve genetics for IB, especially if a larger training population is developed. The top 10 single nucleotide polymorphisms from the GWAS explained 5.04% of total genetic variance for IB, which were located on chromosomes 1, 2, 5, 6, 12, 17, 18, 16, 24, and 26. Some candidate genes participate in immunity system pathways indicating that those genes are involved in resistance to B. bovis in cattle. Although the genetic correlation between IB and TC was weak, some candidate genes for IB were also reported in tick infestation studies, and they were also involved in biological resistance processes. This study contributes to improving genetic knowledge regarding infection by B. bovis in cattle. MenosBovine babesiosis is a tick-borne disease caused by intraerythrocytic protozoa and leads to substantial economic losses for the livestock industry throughout the world. Babesia bovis is considered the most pathogenic species, which causes bovine babesiosis in Brazil. Genomic data could be used to evaluate the viability of improving resistance against B. bovis infection level (IB) through genomic selection, and, for that, knowledge of genetic parameters is needed. Furthermore, genome-wide association studies (GWAS) could be conducted to provide a better understanding of the genetic basis of the host response to B. bovis infection. No previous work in quantitative genetics of B. bovis infection was found. Thus, the objective of this study was to estimate the genetic correlation between IB and tick count (TC), evaluate predictive ability and applicability of genomic selection, and perform GWAS in Hereford and Braford cattle. The single-step genomic best linear unbiased prediction method was used, which allows the estimation of both breeding values and marker effects. Standard phenotyping was conducted for both traits. IB quantifications from the blood of 1,858 animals were carried using quantitative PCR assays. For TC, one to three subsequent tick counts were performed by manually counting adult female ticks on one side of each animal's body that was naturally exposed to ticks. Animals were genotyped using the Illumina BovineSNP50 panel. The posterior mean of IB heritability, e... Mostrar Tudo |
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Palavras-Chave: |
Bovine babesiosis; Cross validation; Genetic parameters; Genome wide association studies; Genomic selection. |
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Thesagro: |
Babesia Bovis. |
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Categoria do assunto: |
H Saúde e Patologia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/217858/1/GenomicStudyBabesia.pdf
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Marc: |
LEADER 03546naa a2200313 a 4500
001 2126663
005 2020-11-17
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3389/fimmu.2020.01905$2DOI
100 1 $aCAVANI, L.
245 $aGenomic study of Babesia bovis infection level and its association with tick count in Hereford and Braford cattle.$h[electronic resource]
260 $c2020
300 $a11 p.
520 $aBovine babesiosis is a tick-borne disease caused by intraerythrocytic protozoa and leads to substantial economic losses for the livestock industry throughout the world. Babesia bovis is considered the most pathogenic species, which causes bovine babesiosis in Brazil. Genomic data could be used to evaluate the viability of improving resistance against B. bovis infection level (IB) through genomic selection, and, for that, knowledge of genetic parameters is needed. Furthermore, genome-wide association studies (GWAS) could be conducted to provide a better understanding of the genetic basis of the host response to B. bovis infection. No previous work in quantitative genetics of B. bovis infection was found. Thus, the objective of this study was to estimate the genetic correlation between IB and tick count (TC), evaluate predictive ability and applicability of genomic selection, and perform GWAS in Hereford and Braford cattle. The single-step genomic best linear unbiased prediction method was used, which allows the estimation of both breeding values and marker effects. Standard phenotyping was conducted for both traits. IB quantifications from the blood of 1,858 animals were carried using quantitative PCR assays. For TC, one to three subsequent tick counts were performed by manually counting adult female ticks on one side of each animal's body that was naturally exposed to ticks. Animals were genotyped using the Illumina BovineSNP50 panel. The posterior mean of IB heritability, estimated by the Bayesian animal model in a bivariate analysis, was low (0.10), and the estimations of genetic correlation between IB and TC were also low (0.15). The cross-validation genomic prediction accuracy for IB ranged from 0.18 to 0.35 and from 0.29 to 0.32 using k-means and random clustering, respectively, suggesting that genomic predictions could be used as a tool to improve genetics for IB, especially if a larger training population is developed. The top 10 single nucleotide polymorphisms from the GWAS explained 5.04% of total genetic variance for IB, which were located on chromosomes 1, 2, 5, 6, 12, 17, 18, 16, 24, and 26. Some candidate genes participate in immunity system pathways indicating that those genes are involved in resistance to B. bovis in cattle. Although the genetic correlation between IB and TC was weak, some candidate genes for IB were also reported in tick infestation studies, and they were also involved in biological resistance processes. This study contributes to improving genetic knowledge regarding infection by B. bovis in cattle.
650 $aBabesia Bovis
653 $aBovine babesiosis
653 $aCross validation
653 $aGenetic parameters
653 $aGenome wide association studies
653 $aGenomic selection
700 1 $aBRAZ, C. U.
700 1 $aGIGLIOTI, R.
700 1 $aOKINO, C. H.
700 1 $aGULIAS GOMES, C. C.
700 1 $aCAETANO, A. R.
700 1 $aOLIVEIRA, M. C. de S.
700 1 $aCARDOSO, F. F.
700 1 $aOLIVEIRA, H. N. de
773 $tFrontiers in Immunology$gv. 11, article 1905, aug. 2020.
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Embrapa Pecuária Sudeste (CPPSE) |
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