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| RODRIGUES, B.; BASSINELLO, P. Z.; BORBA, T. C. de O.; MATTA, D. H. da; STONE, L. F.; HEINEMANN, A. B.. |
| O gessamento no grão de arroz torna-o opaco, mais quebradiço e com maior probabilidade de empapamento, portanto diminui a qualidade, além do valor de mercado. É um problema altamente influenciado por adversidades meteorológicas durante a safra. Até então, não há classificação oficial definida para a área gessada. Este estudo objetivou estabelecer uma classificação para a área gessada e determinar as variáveis climáticas que mais impactam esse defeito. Dados de quatro experimentos realizados em Porangatu, GO, e Vilhena, RO, safras 2018/2019 e 2019/2020, com 11 genótipos contrastantes, foram utilizados. A análise estatística foi dividida em três passos: 1) análise dos valores preditos da área gessada de 11 genótipos; 2) classificação dos valores preditos; e... |
| Tipo: Folhetos |
Palavras-chave: Gessamento; Chalkiness; Climate variables; Selo ODS 2; Agenda 2030; Objetivo de desenvolvimento sustentável; Arroz; Oryza Sativa; Temperatura; Qualidade; Grão; Rice; Temperature. |
| Ano: 2022 |
URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/1149253 |
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| Qin,HY; Xiao,JH; Li,JX; Gao,X; Wang,HB. |
| ABSTRACT In recent years, Guangxi has become one of the most severely affected provinces by epidemics of avian cholera in China. To date, the major determinant climatic factors of the disease in the region have remained largely unknown, making it difficult to effectively target countermeasures for avian cholera surveillance and control. This study aimed to quantify the relationship between climatic variables and cases of avian cholera in subtropical areas of China. Data relating to local meteorological variables and notified cases of avian cholera were supplied by the relevant authorities between January 2006 and December 2015. Spearman correlation, co-linearity statistics and cross-correlation analysis were applied to the data, controlling for... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Avian cholera; Climate variables; Guangxi; Time-series Poisson regression.. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2017000200211 |
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| González,Sergio; Foster,William. |
| Wheat yields have increased in Chile in the last thirty years due in part to incentives, increased input use and improved varieties. Region-specific price elasticities of perhectare yields and planted hectares are estimated using region-level data for the period 1975-2007. Price-yield and price-hectare elasticities are similar, although slightly lower than those obtained by Morales and Foster (2002) in all regions, ranging between 0.33 and 0.73 for yields and between 0 and 0.43 for hectares. Values of price elasticity for total production range between 0.38 and 1.12. For two of the regions studied, climate variables were available and their inclusion results in a reduction in of the elasticity of total production with respect to price. The results suggest... |
| Tipo: Journal article |
Palavras-chave: Wheat; Climate variables; Price elasticity. |
| Ano: 2010 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202010000300004 |
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