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Registro Completo |
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Biblioteca(s): |
Embrapa Caprinos e Ovinos; Embrapa Pecuária Sudeste. |
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Data corrente: |
23/05/2023 |
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Data da última atualização: |
28/11/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SOUZA, M. A. P. DE; ESTEVES, S. N.; DAHER, L. C. C.; GALLO, S. B.; PEREIRA, V. S. do A.; FONSECA, J. F. da; SILVA, A. G. M. E; BRANDÃO, F. Z.; OLIVEIRA, M. E. F.; BARRETO, A. DO N.; VERGANI, G. B.; GARCIA, A. R. |
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Afiliação: |
MARCO ANTONIO PAULA DE SOUSA, Federal University of Pará; SERGIO NOVITA ESTEVES, CPPSE; LUCIARA CELI CHAVES DAHER, Federal Rural University of Amazon; SARITA BONAGURIO GALLO, University of São Paulo; VERONICA SCHINAIDER DO A PEREIRA, CPPSE; JEFERSON FERREIRA DA FONSECA, CNPC; ANDRÉ GUIMARÃES MACIEL E SILVA, Federal University of Pará; FELIPE ZANDONADI BRANDÃO, Fluminense Federal University; MARIA EMILIA FRANCO OLIVEIRA, São Paulo State University; ANDRÉA DO NASCIMENTO BARRETO, Federal University of Pará; GABRIEL BRUN VERGANI, São Paulo State University; ALEXANDRE ROSSETTO GARCIA, CPPSE. |
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Título: |
Overnutrition of ewe in late gestation and the impact on placental efficiency and lamb's performance. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Animals, v. 13, n. 103, 2023. |
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Páginas: |
17 p. |
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DOI: |
10.3390/ani13010103 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The objective of the study was to evaluate energy or energy/protein supplementation in the ewe diet, in the last third of gestation, on maternal placental and endocrine characteristics, as well as its effects on the behavior of neonatal lambs and productive performance until weaning. A total of 128 ewes were used, and the experimental diet was fed from 100 days gestation until lambing, with the birth of 172 lambs. The ewes were distributed into three treatments: CTL (control, n = 43) with metabolizable energy (ME) and crude protein (CP) intake according to NRC (1985); ME (energy supplementation, n = 44) plus 21% ME; and MECP (energy/protein supplementation, n = 41) plus 26% ME and CP. Body weight, body condition score, serum hormone concentrations, placental characteristics, lamb performance and behavior, and production efficiency of the ewe from lambing to weaning were measured. ME and MECP ewes were heavier before (p = 0.006) and just after lambing (p = 0.002) and had higher serum triiodothyronine (p = 0.001) and cortisol (p = 0.004) concentrations on the day of lambing. ME ewes had higher placental efficiency (p = 0.036) and lower total cotyledon weight (p = 0.011). ME and MECP diets increased both lamb birth weight (p = 0.015) and weaning weight (p = 0.009). Production efficiency at birth and at weaning was not influenced (p > 0.05) by treatments. Lamb behavior was influenced by the ME and MECP diets, reducing the time to kneel (p < 0.05), to try to stand (p < 0.05), and the latency to stand (p < 0.005). It is concluded that overnutrition in the last third of gestation was positive for the ovine production system, with improved production rates, hormonal profile, placental characteristics, and neonatal behavior. MenosAbstract: The objective of the study was to evaluate energy or energy/protein supplementation in the ewe diet, in the last third of gestation, on maternal placental and endocrine characteristics, as well as its effects on the behavior of neonatal lambs and productive performance until weaning. A total of 128 ewes were used, and the experimental diet was fed from 100 days gestation until lambing, with the birth of 172 lambs. The ewes were distributed into three treatments: CTL (control, n = 43) with metabolizable energy (ME) and crude protein (CP) intake according to NRC (1985); ME (energy supplementation, n = 44) plus 21% ME; and MECP (energy/protein supplementation, n = 41) plus 26% ME and CP. Body weight, body condition score, serum hormone concentrations, placental characteristics, lamb performance and behavior, and production efficiency of the ewe from lambing to weaning were measured. ME and MECP ewes were heavier before (p = 0.006) and just after lambing (p = 0.002) and had higher serum triiodothyronine (p = 0.001) and cortisol (p = 0.004) concentrations on the day of lambing. ME ewes had higher placental efficiency (p = 0.036) and lower total cotyledon weight (p = 0.011). ME and MECP diets increased both lamb birth weight (p = 0.015) and weaning weight (p = 0.009). Production efficiency at birth and at weaning was not influenced (p > 0.05) by treatments. Lamb behavior was influenced by the ME and MECP diets, reducing the time to kneel (p < 0.05), to try to stand (p < ... Mostrar Tudo |
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Palavras-Chave: |
Evaluate energy; Fetal programming; Morada Nova; Neonatal behavior. |
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Thesagro: |
Placenta. |
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Thesaurus Nal: |
Fetal development; Maternal nutrition; Reproduction; Sheep. |
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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/doc/1153912/1/OvernutritionEweLate.pdf
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Marc: |
LEADER 02842naa a2200385 a 4500
001 2153912
005 2023-11-28
008 2023 bl uuuu u00u1 u #d
024 7 $a10.3390/ani13010103 $2DOI
100 1 $aSOUZA, M. A. P. DE
245 $aOvernutrition of ewe in late gestation and the impact on placental efficiency and lamb's performance.$h[electronic resource]
260 $c2023
300 $a17 p.
520 $aAbstract: The objective of the study was to evaluate energy or energy/protein supplementation in the ewe diet, in the last third of gestation, on maternal placental and endocrine characteristics, as well as its effects on the behavior of neonatal lambs and productive performance until weaning. A total of 128 ewes were used, and the experimental diet was fed from 100 days gestation until lambing, with the birth of 172 lambs. The ewes were distributed into three treatments: CTL (control, n = 43) with metabolizable energy (ME) and crude protein (CP) intake according to NRC (1985); ME (energy supplementation, n = 44) plus 21% ME; and MECP (energy/protein supplementation, n = 41) plus 26% ME and CP. Body weight, body condition score, serum hormone concentrations, placental characteristics, lamb performance and behavior, and production efficiency of the ewe from lambing to weaning were measured. ME and MECP ewes were heavier before (p = 0.006) and just after lambing (p = 0.002) and had higher serum triiodothyronine (p = 0.001) and cortisol (p = 0.004) concentrations on the day of lambing. ME ewes had higher placental efficiency (p = 0.036) and lower total cotyledon weight (p = 0.011). ME and MECP diets increased both lamb birth weight (p = 0.015) and weaning weight (p = 0.009). Production efficiency at birth and at weaning was not influenced (p > 0.05) by treatments. Lamb behavior was influenced by the ME and MECP diets, reducing the time to kneel (p < 0.05), to try to stand (p < 0.05), and the latency to stand (p < 0.005). It is concluded that overnutrition in the last third of gestation was positive for the ovine production system, with improved production rates, hormonal profile, placental characteristics, and neonatal behavior.
650 $aFetal development
650 $aMaternal nutrition
650 $aReproduction
650 $aSheep
650 $aPlacenta
653 $aEvaluate energy
653 $aFetal programming
653 $aMorada Nova
653 $aNeonatal behavior
700 1 $aESTEVES, S. N.
700 1 $aDAHER, L. C. C.
700 1 $aGALLO, S. B.
700 1 $aPEREIRA, V. S. do A.
700 1 $aFONSECA, J. F. da
700 1 $aSILVA, A. G. M. E
700 1 $aBRANDÃO, F. Z.
700 1 $aOLIVEIRA, M. E. F.
700 1 $aBARRETO, A. DO N.
700 1 $aVERGANI, G. B.
700 1 $aGARCIA, A. R.
773 $tAnimals$gv. 13, n. 103, 2023.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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Registro Completo
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Biblioteca(s): |
Embrapa Cerrados; Embrapa Gado de Corte. |
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Data corrente: |
13/12/2023 |
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Data da última atualização: |
18/12/2023 |
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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: |
MARTINS, F. B.; AONO, A. H.; MORAES, A. da C. L.; FERREIRA, R. C. U.; VILELA, M. de M.; PESSOA FILHO, M. A. C. de P.; RODRIGUES-MOTTA, M.; SIMEÃO, R. M.; SOUZA, A. P. de. |
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Afiliação: |
FELIPE BITENCOURT MARTINS, UNIVERSIDADE DE CAMPINAS; ALEXANDRE HILD AONO, UNIVERSIDADE DE CAMPINAS; ALINE DA COSTA LIMA MORAES, UNIVERSIDADE DE CAMPINAS; REBECCA CAROLINE ULBRICHT FERREIRA, UNIVERSIDADE DE CAMPINAS; MARIANE DE MENDONCA VILELA, CNPGC; MARCO AURÉLIO CALDAS DE PINHO PESSO, CPAC; MARIANA RODRIGUES-MOTTA, UNIVERSIDADE DE CAMPINAS; ROSANGELA MARIA SIMEAO, CNPGC; ANETE PEREIRA DE SOUZA, UNIVERSIDADE DE CAMPINAS. |
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Título: |
Genome-wide family prediction unveils molecular mechanisms underlying the regulation of agronomic traits in Urochloa ruziziensis. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Frontiers in Plant Science, v. 14, 2023. |
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DOI: |
https://doi.org/10.3389/fpls.2023.1303417 |
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Idioma: |
Inglês |
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Notas: |
Na publicação: Marco Pessoa-Filho. |
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Conteúdo: |
Tropical forage grasses, particularly those belonging to the Urochloa genus, play a crucial role in cattle production and serve as the main food source for animals in tropical and subtropical regions. The majority of these species are apomictic and tetraploid, highlighting the significance of U. ruziziensis, a sexual diploid species that can be tetraploidized for use in interspecific crosses with apomictic species. As a means to support breeding programs, our study investigates the feasibility of genome-wide family prediction in U. ruziziensis families to predict agronomic traits. Fifty half-sibling families were assessed for green matter yield, dry matter yield, regrowth capacity, leaf dry matter, and stem dry matter across different clippings established in contrasting seasons with varying available water capacity. Genotyping was performed using a genotyping-by-sequencing approach based on DNA samples from family pools. In addition to conventional genomic prediction methods, machine learning and feature selection algorithms were employed to reduce the necessary number of markers for prediction and enhance predictive accuracy across phenotypes. To explore the regulation of agronomic traits, our study evaluated the significance of selected markers for prediction using a tree-based approach, potentially linking these regions to quantitative trait loci (QTLs). In a multiomic approach, genes from the species transcriptome were mapped and correlated to those markers. A gene coexpression network was modeled with gene expression estimates from a diverse set of U. ruziziensis genotypes, enabling a comprehensive investigation of molecular mechanisms associated with these regions. The heritabilities of the evaluated traits ranged from 0.44 to 0.92. A total of 28,106 filtered SNPs were used to predict phenotypic measurements, achieving a mean predictive ability of 0.762. By employing feature selection techniques, we could reduce the dimensionality of SNP datasets, revealing potential genotype-phenotype associations. The functional annotation of genes near these markers revealed associations with auxin transport and biosynthesis of lignin, flavonol, and folic acid. Further exploration with the gene coexpression network uncovered associations with DNA metabolism, stress response, and circadian rhythm. These genes and regions represent important targets for expanding our understanding of the metabolic regulation of agronomic traits and offer valuable insights applicable to species breeding. Our work represents an innovative contribution to molecular breeding techniques for tropical forages, presenting a viable marker-assisted breeding approach and identifying target regions for future molecular studies on these agronomic traits. MenosTropical forage grasses, particularly those belonging to the Urochloa genus, play a crucial role in cattle production and serve as the main food source for animals in tropical and subtropical regions. The majority of these species are apomictic and tetraploid, highlighting the significance of U. ruziziensis, a sexual diploid species that can be tetraploidized for use in interspecific crosses with apomictic species. As a means to support breeding programs, our study investigates the feasibility of genome-wide family prediction in U. ruziziensis families to predict agronomic traits. Fifty half-sibling families were assessed for green matter yield, dry matter yield, regrowth capacity, leaf dry matter, and stem dry matter across different clippings established in contrasting seasons with varying available water capacity. Genotyping was performed using a genotyping-by-sequencing approach based on DNA samples from family pools. In addition to conventional genomic prediction methods, machine learning and feature selection algorithms were employed to reduce the necessary number of markers for prediction and enhance predictive accuracy across phenotypes. To explore the regulation of agronomic traits, our study evaluated the significance of selected markers for prediction using a tree-based approach, potentially linking these regions to quantitative trait loci (QTLs). In a multiomic approach, genes from the species transcriptome were mapped and correlated to those markers. A gene coex... Mostrar Tudo |
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Palavras-Chave: |
Feature selection; Gene coexpression networks; Genomic prediction; Machine learning; Major importance markers; RNA-Seq. |
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Thesaurus NAL: |
Forage grasses. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1159688/1/Genome-wide-family-prediction-2023.pdf
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Marc: |
LEADER 03815naa a2200325 a 4500
001 2159688
005 2023-12-18
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3389/fpls.2023.1303417$2DOI
100 1 $aMARTINS, F. B.
245 $aGenome-wide family prediction unveils molecular mechanisms underlying the regulation of agronomic traits in Urochloa ruziziensis.$h[electronic resource]
260 $c2023
500 $aNa publicação: Marco Pessoa-Filho.
520 $aTropical forage grasses, particularly those belonging to the Urochloa genus, play a crucial role in cattle production and serve as the main food source for animals in tropical and subtropical regions. The majority of these species are apomictic and tetraploid, highlighting the significance of U. ruziziensis, a sexual diploid species that can be tetraploidized for use in interspecific crosses with apomictic species. As a means to support breeding programs, our study investigates the feasibility of genome-wide family prediction in U. ruziziensis families to predict agronomic traits. Fifty half-sibling families were assessed for green matter yield, dry matter yield, regrowth capacity, leaf dry matter, and stem dry matter across different clippings established in contrasting seasons with varying available water capacity. Genotyping was performed using a genotyping-by-sequencing approach based on DNA samples from family pools. In addition to conventional genomic prediction methods, machine learning and feature selection algorithms were employed to reduce the necessary number of markers for prediction and enhance predictive accuracy across phenotypes. To explore the regulation of agronomic traits, our study evaluated the significance of selected markers for prediction using a tree-based approach, potentially linking these regions to quantitative trait loci (QTLs). In a multiomic approach, genes from the species transcriptome were mapped and correlated to those markers. A gene coexpression network was modeled with gene expression estimates from a diverse set of U. ruziziensis genotypes, enabling a comprehensive investigation of molecular mechanisms associated with these regions. The heritabilities of the evaluated traits ranged from 0.44 to 0.92. A total of 28,106 filtered SNPs were used to predict phenotypic measurements, achieving a mean predictive ability of 0.762. By employing feature selection techniques, we could reduce the dimensionality of SNP datasets, revealing potential genotype-phenotype associations. The functional annotation of genes near these markers revealed associations with auxin transport and biosynthesis of lignin, flavonol, and folic acid. Further exploration with the gene coexpression network uncovered associations with DNA metabolism, stress response, and circadian rhythm. These genes and regions represent important targets for expanding our understanding of the metabolic regulation of agronomic traits and offer valuable insights applicable to species breeding. Our work represents an innovative contribution to molecular breeding techniques for tropical forages, presenting a viable marker-assisted breeding approach and identifying target regions for future molecular studies on these agronomic traits.
650 $aForage grasses
653 $aFeature selection
653 $aGene coexpression networks
653 $aGenomic prediction
653 $aMachine learning
653 $aMajor importance markers
653 $aRNA-Seq
700 1 $aAONO, A. H.
700 1 $aMORAES, A. da C. L.
700 1 $aFERREIRA, R. C. U.
700 1 $aVILELA, M. de M.
700 1 $aPESSOA FILHO, M. A. C. de P.
700 1 $aRODRIGUES-MOTTA, M.
700 1 $aSIMEÃO, R. M.
700 1 $aSOUZA, A. P. de
773 $tFrontiers in Plant Science$gv. 14, 2023.
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Embrapa Gado de Corte (CNPGC) |
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