ABSTRACT
OBJECTIVES: This study was conducted to establish a method for early, quick and cheap screening of iron excess tolerance in rice (Oryza sativa L.) cultivars. RESULTS: Based on the experiments, iron excess leads to reduction in shoot length (SL) and this can be a useful characteristic for adequate screening of tolerant genotypes. The sensitive genotypes Nipponbare and BR-IRGA 409 indicated higher accumulation of iron in their tissues while BRS-Agrisul and Epagri 108 also accumulated iron, but at lower concentrations. BR-IRGA 410 displayed an intermediate phenotype regarding iron accumulation. No changes in shoot Cu content can be observed when comparing treatments. On the other hand, an increase was seen for Zn and Mn when shoots are subjected to Fe2+ excess. Fe stress at a lower concentration than 7 mM increased Zn but decreased Mn contents in shoots of BR-IRGA 409. Strong positive correlations were found here for Fe × Zn (0.93); Fe × Mn (0.97) and Zn × Mn (0.92), probably due to the Fe-induced activation of bivalent cation transporters. Results show that genotypes scored as sensitive present higher concentration of Fe in shoots and this is an efficient method to characterize rice cultivars regarding iron response.
Subject(s)
Adaptation, Physiological/genetics , Genetic Testing , Iron/toxicity , Oryza/genetics , Oryza/physiology , Adaptation, Physiological/drug effects , Genotype , Oryza/drug effects , Plant Leaves/drug effects , Plant Leaves/physiology , Plant Shoots/drug effects , Plant Shoots/physiologyABSTRACT
Two regression equations were developed to estimate lowland rice yield as a function of air temperature and incoming solar radiation, during the crop yield production period in Pindamonhangaba, SP, Brazil. The following rice cultivars were used: IAC-242, IAC-100, IAC-101 and IAC-102. The value of optimum air temperature obtained was 25.0°C and of optimum global solar radiation was 475 cal.cm-2, day-1. The best agrometeorological model was the one that related least deviation of air temperature and solar radiation in relation to the optimum value obtained through a multiple linear regression. The yield values estimated by the model showed good fit to actual yields of lowland rice (less than 10%).
Foram desenvolvidas duas equações de estimativa da produtividade do arroz irrigado por inundação, para as variedades: IAC-242, IAC-100, IAC-101 e IAC-102, em função da temperatura do ar e da radiação solar, no período crítico de formação da produção, para a região de Pindamonhangaba (SP). Os valores de temperatura do ar e de radiação solar ótimos encontrados para as variedades foram, respectivamente, 25,0oC e 475 cal.cm-2.dia-1. O modelo agrometeorológico desenvolvido para previsão da produtividade da cultura que apresentou melhores resultados quando testado com dados independentes foi o que relacionou o menor desvio dos dois elementos climáticos em relação ao valor ótimo obtido através de uma equação de regressão linear múltipla. Os valores de produtividade estimados pelo modelo mostraram diferenças menores que 10% quando comparados com os valores obtidos no campo.
ABSTRACT
Two regression equations were developed to estimate lowland rice yield as a function of air temperature and incoming solar radiation, during the crop yield production period in Pindamonhangaba, SP, Brazil. The following rice cultivars were used: IAC-242, IAC-100, IAC-101 and IAC-102. The value of optimum air temperature obtained was 25.0°C and of optimum global solar radiation was 475 cal.cm-2, day-1. The best agrometeorological model was the one that related least deviation of air temperature and solar radiation in relation to the optimum value obtained through a multiple linear regression. The yield values estimated by the model showed good fit to actual yields of lowland rice (less than 10%).
Foram desenvolvidas duas equações de estimativa da produtividade do arroz irrigado por inundação, para as variedades: IAC-242, IAC-100, IAC-101 e IAC-102, em função da temperatura do ar e da radiação solar, no período crítico de formação da produção, para a região de Pindamonhangaba (SP). Os valores de temperatura do ar e de radiação solar ótimos encontrados para as variedades foram, respectivamente, 25,0oC e 475 cal.cm-2.dia-1. O modelo agrometeorológico desenvolvido para previsão da produtividade da cultura que apresentou melhores resultados quando testado com dados independentes foi o que relacionou o menor desvio dos dois elementos climáticos em relação ao valor ótimo obtido através de uma equação de regressão linear múltipla. Os valores de produtividade estimados pelo modelo mostraram diferenças menores que 10% quando comparados com os valores obtidos no campo.