Climate Spatialization and Genotype-Environment Interaction Effects on Weaning Weights of Nellore Cattle in Extensive Systems in Tropical Regions of Brazil

Ferreira, Jorge Luís; Lopes, Fernando Brito; Garcia, José Américo Soares; Silva, Maria Paula Beiriz; Nepomuceno, Leandro Lopes; Marques, Ednira Gleida; Silva, Marcelo Corrêa da

doi:10.1590/1089-6891v18e-39597

Cited by 3 publications

(2 citation statements)

References 14 publications

(19 reference statements)

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“…More recently Ferreira et al . (2017) and Rosé et al . (2017) showed that differences between temperate and tropical climates can cause significant genotype by environment interaction (G×E), which affects productivity.…”

Section: Discussionmentioning

confidence: 95%

Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones

Lozano-Jaramillo

Bastiaansen

Dessie³

et al. 2019

Animal

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Predicting breed-specific environmental suitability has been problematic in livestock production. Native breeds have low productivity but are thought to be more robust to perform under local conditions than exotic breeds. Attempts to introduce genetically improved exotic breeds are generally unsuccessful, mainly due to the antagonistic environmental conditions. Knowledge of the environmental conditions that are shaping the breed would be needed to determine its suitability to different locations. Here, we present a methodology to predict the suitability of breeds for different agro-ecological zones using Geographic Information Systems tools and predictive habitat distribution models. This methodology was tested on the current distribution of two introduced chicken breeds in Ethiopia: the Koekoek, originally from South Africa, and the Fayoumi, originally from Egypt. Cross-validation results show this methodology to be effective in predicting breed suitability for specific environmental conditions. Furthermore, the model predicts suitable areas of the country where the breeds could be introduced. The specific climatic parameters that explained the potential distribution of each of the breeds were similar to the environment from which the breeds originated. This novel methodology finds application in livestock programs, allowing for a more informed decision when designing breeding programs and introduction programs, and increases our understanding of the role of the environment in livestock productivity.

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Section: Discussionmentioning

confidence: 95%

Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones

Lozano-Jaramillo

Bastiaansen

Dessie³

et al. 2019

Animal

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“…Breeding programs in developing countries are often ineffective as a consequence of the non-adaptability of the introduced breeds to the challenging environments Ojango and Pollott, 2002). More recently Ferreira et al (2017) and Rosé et al (2017) showed that differences between temperate and tropical climates can cause significant G x E which affects productivity. This breed-byenvironmental mismatch is usually estimated as genotype by environment interaction (G x E), the genetic correlation for a given set of traits estimated in two environments.…”

Section: Discussionmentioning

confidence: 99%

Predicting breed by environment interaction using ecological modelling

Lozano-Jaramillo¹

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Lozano-Jaramillo, M. (2019). Predicting breed by environment interaction using ecological modelling. PhD thesis, Wageningen University, the Netherlands.Animal production plays an important socio-economic role in developing countries. Livestock largely contribute to the local food production, and they represent a source of income for many smallholder farmers. Smallholder production systems are characterized by low producing indigenous breeds. To enhance food security, several breeding projects have introduced commercial breeds as an alternative to help smallholder farmers to increase the food supply. As a common practice in animal breeding, commercial breeds are introduced from a nucleus to different locations. However, no knowledge on the new environmental conditions in the new tropical environment are taken into account. The aim of this thesis was to understand how the environment plays a role in shaping the variation in breed performance across different agro-ecologies. To achieve this, I used different approaches than what it is commonly used in animal breeding, to understand the environmental variation. I use Geographic Information Systems (GIS) along with different models used in ecology to predict the performance of genotypes in changing environments. Results highlight the importance of acknowledging the environment being composed of many variables that have continuous variation when designing breeding programs or testing schemes. I recommend the application of these models to livestock to make predictions on how productivity traits respond as a function of the environment.

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Contribuição do touro sobre características de desempenho e qualidade de carcaça de tourinhos Nelore criados na região sudeste do Pará

Fioravante

Rodrigues

Paeze

et al. 2020

RSD

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Objetivou-se verificar o efeito do touro (pai) sobre o desempenho, rendimento de carcaça, área de olho de lombo e espessura de gordura subcutânea de tourinhos Nelore criados na região sudeste do Pará e terminados em semiconfinamento. Foram avaliadas as características de peso vivo inicial (PVI) e final (PVF), ganho de peso vivo total (GPVT), ganho médio diário (GMD), rendimento de carcaça (RC), peso de carcaça quente (PCQ), área de olho de lombo (AOL) e espessura de gordura (EGS) de 79 tourinhos. Foi utilizado o delineamento inteiramente casualizado, considerando-se dez tratamentos (touros), e as médias comparadas pelo teste de Tukey a 5% de probabilidade. A média de PVI dos animais foi de 472,35 ± 43,27 Kg, e PVF de 606,73 ± 48,63 Kg, GPVT de 134,38 ± 20,24 kg, e GMD de 1,17 ± 0,18 kg/dia. Não foi verificado efeito significativo do touro sobre a maioria das características analisadas (p>0,05). A média de AOL foi de 38,28 cm² (± 7,55), com variação de 34,2 a 43,6 cm², e EGS média de 3,88 mm (± 2,05), com variação de 3,17 a 4,3 mm. Tais resultados, mostram a necessidade de utilização de touros com maior valor genético para estas características (AOL e EGS).

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Climate Spatialization and Genotype-Environment Interaction Effects on Weaning Weights of Nellore Cattle in Extensive Systems in Tropical Regions of Brazil

Cited by 3 publications

References 14 publications

Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones

Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones

Predicting breed by environment interaction using ecological modelling

Contribuição do touro sobre características de desempenho e qualidade de carcaça de tourinhos Nelore criados na região sudeste do Pará

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