Tillage effects on corn emergence rates

Hayhoe, H. N.; Dwyer, L. M.; Balchin, D.; Culley, J. L. B.

doi:10.1016/0167-1987(93)90085-4

Cited by 30 publications

(21 citation statements)

References 12 publications

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“…1) A lower ultimate emergence under ZT than under CT may be because larger aggregates caused seedling entrapment (Durr and Jean-Noel, 2000) as well as poorer seed-soil contact. This, as reported by some researchers (Schneider and Gupta, 1985;Hayhoe et al, 1993) could introduce increased variability in Fig. 1.…”

Section: Rice Seedling Emergence Under Different Tillage and Residue supporting

confidence: 68%

Modeling rice seedling emergence and growth under tillage and residue management in a rice–wheat system on a Vertisol in Central India

Mohanty

Painuli

2004

Soil and Tillage Research

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Section: Rice Seedling Emergence Under Different Tillage and Residue supporting

confidence: 68%

Modeling rice seedling emergence and growth under tillage and residue management in a rice–wheat system on a Vertisol in Central India

Mohanty

Painuli

2004

Soil and Tillage Research

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“…The number of days to 50Vo silking was less for fall-plowed corn in both years, but only in 1988 were the differences significant (Table 3). Development in no-till crops may be delayed, especially when spring temperatures are low (Hayhoe et al 1993). Vyn (1987) reported lower plant populations with no-till corn following alfalfa-timothy or red clover.…”

Section: Corn Grain Yieldmentioning

confidence: 99%

Crop management systems for corn (Zea mays L.) following established alfalfa (Medicago sativa L.)

Aflakpui¹,

Vyn²,

Anderson³

et al. 1994

Can. J. Plant Sci.

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“…Hourly readings were averaged to calculate the average daily soil temperature. Further details of this experiment are found in Hayhoe et al (1993) and Dwyer et al (1995). For the EPIC runs, daily weather data (maximum and minimum air temperature, precipitation, solar radiation, wind speed and relative humidity) were obtained from weather stations at Ottawa, about 5 km from the site.…”

Section: Barrhaven Sitementioning

confidence: 99%

Crop yield, soil temperature and sensitivity of EPIC under central-eastern Canadian conditions

Roloff¹,

DeJong²,

Nolin³

1998

Can. J. Soil. Sci.

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Roloff, G., de Jong, R. and Nolin, M. C. 1998. Crop yield, soil temperature and sensitivity of EPIC under central-eastern Canadian conditions. Can. J. Soil Sci. 78: 431-439. The Environmental Policy Integrated Climate (EPIC) model can be an important tool for agricultural and environmental management. Application of EPIC in central-eastern Canada requires testing to evaluate its performance and to indicate eventual changes that ultimately can lead to a more accurate model. We compared crop yields and soil temperatures estimated using EPIC (version 5300) with measured data from two sites -Barrhaven, Ontario and St. Antoine, Quebec -where corn (Zea mays L.) and soybean (Glycine max L.) were grown during 4 yr. The sensitivity of several EPIC outputs to variations in selected input parameters was also determined. EPIC was run with either the Penman-Monteith (PM) or the Baier-Robertson (BR) potential evapotranspiration (PET) method. Mean estimated and measured soybean yields were not different, independent of PET method and location. Mean corn yields were underestimated at Barrhaven with the PM method, whereas they were overestimated by the BR method at St. Antoine. Using the PM method resulted in no difference between estimated and measured yields in 2 out of 5 corn years, while the BR method ensued in no difference in 3 out of 5 years. For soybean, only the BR method resulted in 1 yr of yield different than measured. Performance of the model in relation to experimental error and efficiency of the model varied with crop and location, and indicated that EPIC caused less error and was more efficient in estimating soybean than corn yields. Comparing limited measured soil temperature data with EPIC estimates reveled that EPIC tended to underestimate soil temperature; however no effect on estimated yield was observed. The relative sensitivity of EPIC outputs was least for yield and greatest for leached nitrate-N. The latter also displayed the highest variability in sensitivity. EPIC studies focusing on leached nitrate-N should require the most accurate crop, soil, hydrological and weather data in order to minimize errors.Key words: Environmental modelling, soybean yield, corn yield, sensitivity analysis Roloff, G., de Jong, R. et Nolin, M. C. 1998. Rendement des cultures, température du sol et sensibilité du modèle EPIC dans le centre-est canadien. Can. J. Soil Sci. 78: 431-439. Le modèle Climatique intégré aux décisions à portée environnementale (EPIC) peut être un important outil de gestion de l'agriculture et de l'environnement. L'application du modèle dans la partie centreest du Canada requiert au préalable une évaluation de ses performances et la mise en évidence des modifications susceptibles d'en accroître l'exactitude. Nous avons comparé le rendement des cultures et les températures du sol prédits au moyen du modèle EPIC (version 5300) avec les données de terrain recueillies à deux emplacements, Barrhaven en Ontario et Saint-Antoine au Québec, où le maïs (Zea mays L.) et le soja (Glycine max L.) étaient cultivés ...

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Tillage effects on corn emergence rates

Cited by 30 publications

References 12 publications

Modeling rice seedling emergence and growth under tillage and residue management in a rice–wheat system on a Vertisol in Central India

Modeling rice seedling emergence and growth under tillage and residue management in a rice–wheat system on a Vertisol in Central India

Crop management systems for corn (Zea mays L.) following established alfalfa (Medicago sativa L.)

Crop yield, soil temperature and sensitivity of EPIC under central-eastern Canadian conditions

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