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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
28/03/2024 |
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Data da última atualização: |
28/03/2024 |
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Tipo da produção científica: |
Orientação de Tese de Pós-Graduação |
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Autoria: |
OSHAZOMHE, O. P. |
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Afiliação: |
OYAREBU PHILIPS OSHAZOMHE. |
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Título: |
Socio-economics of small-scale maize producers in Etsako West Local Government, Edo state, Nigeria. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
2023. |
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Páginas: |
50 f. |
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Idioma: |
Português |
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Notas: |
Dissertação (Mestrado em Agronomia) - Escola de Agronomia, Universidade Federal de Goiás, Goiânia. Orientador: Alexandre Bryan Heinemann, CNPAF; Coorientador: David Henriques da Matta. |
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Conteúdo: |
The study analysed the socio-economics of small-scale maize production in Etsako West Local Government, Edo State, Nigeria. The specific objectives explained the socio- economic factors of maize farmers, determine the relationship between the socio-economic factors of small-scale maize farmers’ and their income, predict the gender and age in relationship with the annual income per hectare, assess the profit associated with the production of maize, and recognize the limiting factors faced by the small-scale maize producers. 120 maize producers in the study area were given a questionnaire. Based on the questionnaire responses, the following statistical analyses were carried out: a) descriptive statistics, b) linear multiple regression, and c) gross margin. The study discovered that most of the respondents (80%) were male and of working age. Also, most respondents were married with five children and owned a farm size of 1–2-hectare farm. According to multiple linear regression, females and males between the ages of 21 and 30 are expected to earn N150,445.40/ha (345.87 dollars) and N150,436.50/ha (345.82 dollars) per year, respectively. On the other hand, as both female and male categories are getting old their expected annual income decreases by 46.82% and 39.65% respectively. One hectare of maize farm earned a gross profit of N353,000 (811.49 dollars) with a return on investment of 4.65 naira (0.01 dollars). Labour costs accounted for a larger proportion of production costs, accounting for approximately 40.13% and 71.05% of variable and total costs, respectively. The problems with maize production in Etsako West Local Government include high labour costs, pests and diseases control, insufficient storage facilities, insufficient capital, marketing of maize, transportation, limited access to credit, and high price of farm input. According to the findings, it is advised that extension workers should encourage small-scale maize famers to form cooperative societies gain access to credit, market their produce, acquire farm inputs collectively and solve labour. Furthermore, the state government should provide maize farmers with loans ranging from N200,000 (459.77 dollars) to N250,000 (574.71 dollars) through the state banks to assist them in acquiring land for their maize farming business to improve food security in the state and throughout Nigeria. MenosThe study analysed the socio-economics of small-scale maize production in Etsako West Local Government, Edo State, Nigeria. The specific objectives explained the socio- economic factors of maize farmers, determine the relationship between the socio-economic factors of small-scale maize farmers’ and their income, predict the gender and age in relationship with the annual income per hectare, assess the profit associated with the production of maize, and recognize the limiting factors faced by the small-scale maize producers. 120 maize producers in the study area were given a questionnaire. Based on the questionnaire responses, the following statistical analyses were carried out: a) descriptive statistics, b) linear multiple regression, and c) gross margin. The study discovered that most of the respondents (80%) were male and of working age. Also, most respondents were married with five children and owned a farm size of 1–2-hectare farm. According to multiple linear regression, females and males between the ages of 21 and 30 are expected to earn N150,445.40/ha (345.87 dollars) and N150,436.50/ha (345.82 dollars) per year, respectively. On the other hand, as both female and male categories are getting old their expected annual income decreases by 46.82% and 39.65% respectively. One hectare of maize farm earned a gross profit of N353,000 (811.49 dollars) with a return on investment of 4.65 naira (0.01 dollars). Labour costs accounted for a larger proportion of production costs, a... Mostrar Tudo |
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Palavras-Chave: |
Maize producers. |
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Thesagro: |
Milho; Pequeno Produtor. |
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Thesaurus Nal: |
Corn; Family size; Nigeria; Small farms. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 03140nam a2200217 a 4500
001 2163184
005 2024-03-28
008 2023 bl uuuu m 00u1 u #d
100 1 $aOSHAZOMHE, O. P.
245 $aSocio-economics of small-scale maize producers in Etsako West Local Government, Edo state, Nigeria.$h[electronic resource]
260 $a2023.$c2023
300 $a50 f.
500 $aDissertação (Mestrado em Agronomia) - Escola de Agronomia, Universidade Federal de Goiás, Goiânia. Orientador: Alexandre Bryan Heinemann, CNPAF; Coorientador: David Henriques da Matta.
520 $aThe study analysed the socio-economics of small-scale maize production in Etsako West Local Government, Edo State, Nigeria. The specific objectives explained the socio- economic factors of maize farmers, determine the relationship between the socio-economic factors of small-scale maize farmers’ and their income, predict the gender and age in relationship with the annual income per hectare, assess the profit associated with the production of maize, and recognize the limiting factors faced by the small-scale maize producers. 120 maize producers in the study area were given a questionnaire. Based on the questionnaire responses, the following statistical analyses were carried out: a) descriptive statistics, b) linear multiple regression, and c) gross margin. The study discovered that most of the respondents (80%) were male and of working age. Also, most respondents were married with five children and owned a farm size of 1–2-hectare farm. According to multiple linear regression, females and males between the ages of 21 and 30 are expected to earn N150,445.40/ha (345.87 dollars) and N150,436.50/ha (345.82 dollars) per year, respectively. On the other hand, as both female and male categories are getting old their expected annual income decreases by 46.82% and 39.65% respectively. One hectare of maize farm earned a gross profit of N353,000 (811.49 dollars) with a return on investment of 4.65 naira (0.01 dollars). Labour costs accounted for a larger proportion of production costs, accounting for approximately 40.13% and 71.05% of variable and total costs, respectively. The problems with maize production in Etsako West Local Government include high labour costs, pests and diseases control, insufficient storage facilities, insufficient capital, marketing of maize, transportation, limited access to credit, and high price of farm input. According to the findings, it is advised that extension workers should encourage small-scale maize famers to form cooperative societies gain access to credit, market their produce, acquire farm inputs collectively and solve labour. Furthermore, the state government should provide maize farmers with loans ranging from N200,000 (459.77 dollars) to N250,000 (574.71 dollars) through the state banks to assist them in acquiring land for their maize farming business to improve food security in the state and throughout Nigeria.
650 $aCorn
650 $aFamily size
650 $aNigeria
650 $aSmall farms
650 $aMilho
650 $aPequeno Produtor
653 $aMaize producers
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Embrapa Arroz e Feijão (CNPAF) |
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Biblioteca |
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Classificação |
Cutter |
Registro |
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URL |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
05/11/2012 |
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Data da última atualização: |
11/11/2021 |
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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: |
VASQUES, G. de M.; GRUNWALD, S.; MYERS, D. B. |
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Afiliação: |
GUSTAVO DE MATTOS VASQUES, CNPS; University of Florida; Department of Agriculture, Columbia, Missouri, USA. |
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Título: |
Influence of the spatial extent and resolution of input data on soil carbon models in Florida, USA. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Journal of Geophysical Research Geosciences, v. 117, n. G4, 2012. |
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DOI: |
https://doi.org/10.1029/2012JG001982 |
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Idioma: |
Inglês |
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Conteúdo: |
Understanding the causes of spatial variation of soil carbon (C) has important implications for regional and global C dynamics studies. Soil C predictive models can identify sources of C variation, but may be influenced by scale parameters, including the spatial extent and resolution of input data. Our objective was to investigate the influence of these scale parameters on soil C spatial predictive models in Florida, USA. We used data from three nested spatial extents (Florida, 150,000 km2; Santa Fe River watershed, 3,585 km2; and University of Florida Beef Cattle Station, 5.58 km2) to derive stepwise linear models of soil C as a function of 24 environmental properties. Models were derived within the three extents and for seven resolutions (30?1920 m) of input environmental data in Florida and in the watershed, then cross-evaluated among extents and resolutions, respectively. The quality of soil C models increased with an increase in the spatial extent (R2 from 0.10 in the cattle station to 0.61 in Florida) and with a decrease in the resolution of input data (R2 from 0.33 at 1920-m resolution to 0.61 at 30-m resolution in Florida). Soil and hydrologic variables were the most important across the seven resolutions both in Florida and in the watershed. The spatial extent and resolution of environmental covariates modulate soil C variation and soil-landscape correlations influencing soil C predictive models. Our results provide scale boundaries to observe environmental data and assess soil C spatial patterns, supporting C sequestration, budgeting and monitoring programs. MenosUnderstanding the causes of spatial variation of soil carbon (C) has important implications for regional and global C dynamics studies. Soil C predictive models can identify sources of C variation, but may be influenced by scale parameters, including the spatial extent and resolution of input data. Our objective was to investigate the influence of these scale parameters on soil C spatial predictive models in Florida, USA. We used data from three nested spatial extents (Florida, 150,000 km2; Santa Fe River watershed, 3,585 km2; and University of Florida Beef Cattle Station, 5.58 km2) to derive stepwise linear models of soil C as a function of 24 environmental properties. Models were derived within the three extents and for seven resolutions (30?1920 m) of input environmental data in Florida and in the watershed, then cross-evaluated among extents and resolutions, respectively. The quality of soil C models increased with an increase in the spatial extent (R2 from 0.10 in the cattle station to 0.61 in Florida) and with a decrease in the resolution of input data (R2 from 0.33 at 1920-m resolution to 0.61 at 30-m resolution in Florida). Soil and hydrologic variables were the most important across the seven resolutions both in Florida and in the watershed. The spatial extent and resolution of environmental covariates modulate soil C variation and soil-landscape correlations influencing soil C predictive models. Our results provide scale boundaries to observe environmental data and... Mostrar Tudo |
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Palavras-Chave: |
Soil carbon; Soil carbon models. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/69367/1/Vasques-et-al.-Influence-of-the-spatial-extent-and-resolution-of-input-data-on-soil-carbon-models-in-Florida-USA-2.pdf
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Marc: |
LEADER 02188naa a2200181 a 4500
001 1938847
005 2021-11-11
008 2012 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1029/2012JG001982$2DOI
100 1 $aVASQUES, G. de M.
245 $aInfluence of the spatial extent and resolution of input data on soil carbon models in Florida, USA.$h[electronic resource]
260 $c2012
520 $aUnderstanding the causes of spatial variation of soil carbon (C) has important implications for regional and global C dynamics studies. Soil C predictive models can identify sources of C variation, but may be influenced by scale parameters, including the spatial extent and resolution of input data. Our objective was to investigate the influence of these scale parameters on soil C spatial predictive models in Florida, USA. We used data from three nested spatial extents (Florida, 150,000 km2; Santa Fe River watershed, 3,585 km2; and University of Florida Beef Cattle Station, 5.58 km2) to derive stepwise linear models of soil C as a function of 24 environmental properties. Models were derived within the three extents and for seven resolutions (30?1920 m) of input environmental data in Florida and in the watershed, then cross-evaluated among extents and resolutions, respectively. The quality of soil C models increased with an increase in the spatial extent (R2 from 0.10 in the cattle station to 0.61 in Florida) and with a decrease in the resolution of input data (R2 from 0.33 at 1920-m resolution to 0.61 at 30-m resolution in Florida). Soil and hydrologic variables were the most important across the seven resolutions both in Florida and in the watershed. The spatial extent and resolution of environmental covariates modulate soil C variation and soil-landscape correlations influencing soil C predictive models. Our results provide scale boundaries to observe environmental data and assess soil C spatial patterns, supporting C sequestration, budgeting and monitoring programs.
653 $aSoil carbon
653 $aSoil carbon models
700 1 $aGRUNWALD, S.
700 1 $aMYERS, D. B.
773 $tJournal of Geophysical Research Geosciences$gv. 117, n. G4, 2012.
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