2003
DOI: 10.2134/agronj2003.0892
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CERES-Maize Predictions of Maize Phenology under Nitrogen-Stressed Conditions in Nigeria

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Cited by 54 publications
(39 citation statements)
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“…Irrigation was suspended in ws treatments at 56 DAS and restarted at 74 DAS during grain filling at the end of the rains and of grain filling occuring solely under residual moisture. That is why it is generally accepted that annual plants flower and mature earlier to avoid late-season water stress (Thies et al 1995;Dorn et al 2000;Gungula et al 2003). In contrast to previous findings, the data from our first trial show that genotypes sensitive to low P had a larger delay in flowering under LP.…”
Section: Flowering Delaycontrasting
confidence: 98%
“…Irrigation was suspended in ws treatments at 56 DAS and restarted at 74 DAS during grain filling at the end of the rains and of grain filling occuring solely under residual moisture. That is why it is generally accepted that annual plants flower and mature earlier to avoid late-season water stress (Thies et al 1995;Dorn et al 2000;Gungula et al 2003). In contrast to previous findings, the data from our first trial show that genotypes sensitive to low P had a larger delay in flowering under LP.…”
Section: Flowering Delaycontrasting
confidence: 98%
“…The higher amount of poultry manure increased the nutrients holding capacity and availability over lower poultry manure dose and control which caused the leaves to remain green for longer period [17]. The maize plants sown in the control plot showed lower leaf area index might be due to higher leaching and volatilization of nitrogen as compared to organic matter added plots.…”
Section: Discussionmentioning
confidence: 99%
“…It simulates physiological crop responses on a daily basis as a function of climate factors (daily maximum and minimum temperature, precipitation, and solar radiation), soils, and crop management practices (cultivar, planting date, row spacing, plant population, and planting depth). The model has been applied extensively in many different parts of the world for climate change applications [31][32][33][34] . This model computes important biophysical and biochemical processes, like photosynthesis, respiration and transpiration or the dynamics of carbon and water at the leaf-level and are therefore able to simulate the effect of increasing temperatures, changing precipitation and elevated atmospheric CO2 concentration on crop development and yield [35].…”
Section: Description Of the Dssat Modelmentioning
confidence: 99%