The effect of planting date on maize grain yields and yield components

“…However, because they require more days in the ground, they also use more water. Recent work has demonstrated that the impact of planting date on yield depends on the variety selected (short versus long) (Tsimba et al 2013). At early planting dates, long-duration varieties yield more than short-duration varieties.…”

Section: Mark Lundy University Of California Cooperative Extension Amentioning

confidence: 99%

Drought Tip: Managing Irrigated Corn during Drought

Lundy¹

2015

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“…Study results showed that the CERES-maize model could be used as a decision support system for soil specific nitrogen leaching characterization and to increase food production while using the fertilizers and water efficiently (Sarkar, 2009) in both developed and developing countries. The CERES-maize model has been evaluated in Zimbabwe, Malawi and South Africa (Tsimba, 2011;Tsimba et al, 2013) and Zambia (Chinene, 1985;Chisanga et al, 2015). It has also been extensively tested in Kenya and under tropical conditions in Hawaii, Indonesia, and the Philippines.…”

Section: Impact Of Climate Change On Maize Yield Using Dssat Ceres-mamentioning

confidence: 99%

Climate change impact on maize (Zea mays L.) yield using crop simulation and statistical downscaling models: A review

Chisanga¹,

Phiri²,

Chinene³

2017

Sci. Res. Essays

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Review of literature related to the impact of climate change on maize (Zea mays L.) yield using Global Climate Models (GCMs), statistical downscaling, and crop simulation (APSIM-maize-and-CERES-maize models) models are discussed. GCMs can simulate the current and future climatic scenarios. Crop yield projections using crop models require climate inputs at higher spatial resolution than that provided by GCMs. The computationally inexpensive statistical downscaling technique is widely used for this translation. Studies on regional climate modeling have mostly focused on Southern Africa and West Africa, with very few studies in Zambia. Additionally, the integrated use of climate and crop models have received relatively less attention in Africa compared to other parts of the world. Conversely, the AgMIP protocols have been implemented in Sub-Saharan Africa (SSA) (Ethiopia, Kenya, Tanzania, Uganda and South Africa) and South Asia (SA) (Sri Lanka). In Zambia, however, the protocols have not been applied at either regional or local scale. Applying crop and statistical downscaling models requires calibration and validation, and these are crucial for correct climate and crop simulation. The review shows that although uncertainties exist in the design of models, and parameters, soil, climate and management options, the climate would adversely affect maize yield production in SSA. The potential effect of climate change on maize production can be studied using crop models such as agricultural production simulator (APSIM) and decision support system for agrotechnology (DSSAT) models. There is need to use integrated assessment modeling to study future climate impact on maize yield. The assessment is essential for long-term planning in food security and in developing adaptation and mitigation strategies in the face of climate variability and change.

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The effect of planting date on maize grain yields and yield components

Cited by 144 publications

References 21 publications

Linking crop yield anomalies to large-scale atmospheric circulation in Europe

Linking crop yield anomalies to large-scale atmospheric circulation in Europe

Drought Tip: Managing Irrigated Corn during Drought

Climate change impact on maize (Zea mays L.) yield using crop simulation and statistical downscaling models: A review

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