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Registro Completo |
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
06/04/2005 |
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Data da última atualização: |
06/04/2005 |
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Autoria: |
DWYER, C. M.; LAWRENCE, A. B.; BISHOP, S. C. |
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Título: |
The effects of selection for lean tissue content on maternal and neonatal lamb behaviours in Scottish Blackface sheep. |
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Ano de publicação: |
2001 |
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Fonte/Imprenta: |
Animal Science, v. 72, pt 3, p. 555-571, 2001. |
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Idioma: |
Inglês |
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Conteúdo: |
British hill sheep are required to give birth to and rear their lambs under harsh extensive conditions. The aim of this study was to investigate whether genetic selection for increased (LEAN) or decreased (FAT) carcass lean content in the Scottish Blackface breed over 7 years had affected the ability of ewes to rear lambs by altering the expression of maternal and neonatal lamb behaviours. The behaviour of 61 ewes (32 LEAN and 29 FAT) and their 119 lambs were recorded at parturition and over the first 8 weeks of life. Overall there were very few effects of selection on the behaviour of the ewes. LEAN ewes were significantly faster than FAT ewes to start grooming their lambs afier birth and FAT ewes tended to withdraw more frequently from their lambs than LEAN ewes. There was, however, a highly significant effect of selection line on lamb behaviour. LEAN lambs were significantly quicker than FAT lambs to perform all righting movements (median latency to stand (mins): LEAN = 11.7, FAT = 23.4, P < 0.01), were more likely both to suck (percentage that sucked: LEAN = 81.0%, FAT = 57.1%, P < 0.05), and to play within the first 2 h of birth. The higher rate of sucking in LEAN lambs persisted over the first 3 days afier birth (percent observations where lambs were sucking: LEAN = 7.8 (s.e. 0.8), FAT = 5.1 (s.e. 0.6), P < 0.05), when LEAN lambs were also significantly doser to their mothers tnan FAT lambs. There after, there were no significant effects of ewe or lamb line on behaviours recorded up to 8 weeks afier birth. Overall lamb mortality to 8 weeks was 19.3% and was not significantly affected by lamb line. However, lambs that were slow to perform early behaviours had a reduced survival to 8 weeks of age. These data suggest that, although ewe maternal behaviour has not been significantly affected by selection for lean growth, the activity of the neonatal lamb has been affected. Lamb activity was related to lamb survival, even in our indoor lambing conditions. It is likely that the speed with which newborn lambs stand and suck will be even more important for survival under extensive conditions. MenosBritish hill sheep are required to give birth to and rear their lambs under harsh extensive conditions. The aim of this study was to investigate whether genetic selection for increased (LEAN) or decreased (FAT) carcass lean content in the Scottish Blackface breed over 7 years had affected the ability of ewes to rear lambs by altering the expression of maternal and neonatal lamb behaviours. The behaviour of 61 ewes (32 LEAN and 29 FAT) and their 119 lambs were recorded at parturition and over the first 8 weeks of life. Overall there were very few effects of selection on the behaviour of the ewes. LEAN ewes were significantly faster than FAT ewes to start grooming their lambs afier birth and FAT ewes tended to withdraw more frequently from their lambs than LEAN ewes. There was, however, a highly significant effect of selection line on lamb behaviour. LEAN lambs were significantly quicker than FAT lambs to perform all righting movements (median latency to stand (mins): LEAN = 11.7, FAT = 23.4, P < 0.01), were more likely both to suck (percentage that sucked: LEAN = 81.0%, FAT = 57.1%, P < 0.05), and to play within the first 2 h of birth. The higher rate of sucking in LEAN lambs persisted over the first 3 days afier birth (percent observations where lambs were sucking: LEAN = 7.8 (s.e. 0.8), FAT = 5.1 (s.e. 0.6), P < 0.05), when LEAN lambs were also significantly doser to their mothers tnan FAT lambs. There after, there were no significant effects of ewe or lamb line on behaviou... Mostrar Tudo |
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Palavras-Chave: |
Comportamento materno; Recém nascido. |
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Thesagro: |
Cordeiro; Mortalidade Animal; Ovino. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02732naa a2200205 a 4500
001 1531078
005 2005-04-06
008 2001 bl uuuu u00u1 u #d
100 1 $aDWYER, C. M.
245 $aThe effects of selection for lean tissue content on maternal and neonatal lamb behaviours in Scottish Blackface sheep.
260 $c2001
520 $aBritish hill sheep are required to give birth to and rear their lambs under harsh extensive conditions. The aim of this study was to investigate whether genetic selection for increased (LEAN) or decreased (FAT) carcass lean content in the Scottish Blackface breed over 7 years had affected the ability of ewes to rear lambs by altering the expression of maternal and neonatal lamb behaviours. The behaviour of 61 ewes (32 LEAN and 29 FAT) and their 119 lambs were recorded at parturition and over the first 8 weeks of life. Overall there were very few effects of selection on the behaviour of the ewes. LEAN ewes were significantly faster than FAT ewes to start grooming their lambs afier birth and FAT ewes tended to withdraw more frequently from their lambs than LEAN ewes. There was, however, a highly significant effect of selection line on lamb behaviour. LEAN lambs were significantly quicker than FAT lambs to perform all righting movements (median latency to stand (mins): LEAN = 11.7, FAT = 23.4, P < 0.01), were more likely both to suck (percentage that sucked: LEAN = 81.0%, FAT = 57.1%, P < 0.05), and to play within the first 2 h of birth. The higher rate of sucking in LEAN lambs persisted over the first 3 days afier birth (percent observations where lambs were sucking: LEAN = 7.8 (s.e. 0.8), FAT = 5.1 (s.e. 0.6), P < 0.05), when LEAN lambs were also significantly doser to their mothers tnan FAT lambs. There after, there were no significant effects of ewe or lamb line on behaviours recorded up to 8 weeks afier birth. Overall lamb mortality to 8 weeks was 19.3% and was not significantly affected by lamb line. However, lambs that were slow to perform early behaviours had a reduced survival to 8 weeks of age. These data suggest that, although ewe maternal behaviour has not been significantly affected by selection for lean growth, the activity of the neonatal lamb has been affected. Lamb activity was related to lamb survival, even in our indoor lambing conditions. It is likely that the speed with which newborn lambs stand and suck will be even more important for survival under extensive conditions.
650 $aCordeiro
650 $aMortalidade Animal
650 $aOvino
653 $aComportamento materno
653 $aRecém nascido
700 1 $aLAWRENCE, A. B.
700 1 $aBISHOP, S. C.
773 $tAnimal Science$gv. 72, pt 3, p. 555-571, 2001.
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Registro original: |
Embrapa Caprinos e Ovinos (CNPC) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
05/09/2022 |
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Data da última atualização: |
06/09/2022 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
RIBEIRO, A. F.; SOUZA, K. X. S. de; CAMARGO NETO, J.; TERNES, S.; YANO, I. H. |
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Afiliação: |
ALAN FREITAS RIBEIRO, UNIVERSIDADE ESTADUAL DE CAMPINAS; KLEBER XAVIER SAMPAIO DE SOUZA, CNPTIA; JOAO CAMARGO NETO, CNPTIA; SONIA TERNES, CNPTIA; INACIO HENRIQUE YANO, CNPTIA. |
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Título: |
Testando a rede neural YOLOv5 para detecção de frutos em pomares de laranja. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: CONGRESSO INTERINSTITUCIONAL DE INICIAÇÃO CIENTÍFICA, 16., 2022, Campinas. Anais... Campinas: Instituto Agronômico, 2022. |
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Páginas: |
11 p. |
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ISBN: |
978-65-88414-07-1 |
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Idioma: |
Português |
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Notas: |
Evento online. CIIC 2022. Nº 22602. |
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Conteúdo: |
Este trabalho, tem como objetivo analisar a viabilidade do emprego de algoritmos computacionais por meio de redes neurais e visão computacional no processo de contagem de frutos através de imagens digitais, em especial, a utilização da rede neural YOLOv5. |
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Palavras-Chave: |
Aprendizado de máquina; Aprendizado profundo; Deep learning; Detecção de objetos; Machine learning; Object detection; Orange; Rede yolov5; Redes neurais; Visão computacional; Yolov5 network. |
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Thesaurus NAL: |
Computer vision; Neural networks. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1146123/1/RE22602-CIIC-2022.pdf
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Marc: |
LEADER 01348nam a2200349 a 4500
001 2146123
005 2022-09-06
008 2022 bl uuuu u00u1 u #d
020 $a978-65-88414-07-1
100 1 $aRIBEIRO, A. F.
245 $aTestando a rede neural YOLOv5 para detecção de frutos em pomares de laranja.$h[electronic resource]
260 $aIn: CONGRESSO INTERINSTITUCIONAL DE INICIAÇÃO CIENTÍFICA, 16., 2022, Campinas. Anais... Campinas: Instituto Agronômico$c2022
300 $a11 p.
500 $aEvento online. CIIC 2022. Nº 22602.
520 $aEste trabalho, tem como objetivo analisar a viabilidade do emprego de algoritmos computacionais por meio de redes neurais e visão computacional no processo de contagem de frutos através de imagens digitais, em especial, a utilização da rede neural YOLOv5.
650 $aComputer vision
650 $aNeural networks
653 $aAprendizado de máquina
653 $aAprendizado profundo
653 $aDeep learning
653 $aDetecção de objetos
653 $aMachine learning
653 $aObject detection
653 $aOrange
653 $aRede yolov5
653 $aRedes neurais
653 $aVisão computacional
653 $aYolov5 network
700 1 $aSOUZA, K. X. S. de
700 1 $aCAMARGO NETO, J.
700 1 $aTERNES, S.
700 1 $aYANO, I. H.
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