Photothermal impact on maize performance: a simulation approach

Aval, Mohammad Bannayan; Hoogenboom, Gerrit; Crout, N.M.J.

doi:10.1016/j.ecolmodel.2004.04.022

Cited by 36 publications

(18 citation statements)

References 64 publications

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“…Similarly, we identified the monthly mean temperature threshold below which temperature is positively correlated with the maize yield as 22°C (Fig. 4), which is within the range of optimum mean temperature (22-25°C) for maize (Singletary et al 1994;Bannayan et al 2004). Analysis of the temperature data indicates that below 1,350 m amsl, growing season maximum and mean temperatures are well above the favorable thresholds of 27 and 22°C, respectively.…”

Section: Maizementioning

confidence: 98%

Climate trends and impacts on crop production in the Koshi River basin of Nepal

et al. 2013

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Understanding crop responses to climate is essential to cope with anticipated changes in temperature and precipitation. We investigated the climate-crop yield relationship and the impact of historical climate on yields of rice, maize and wheat in the Koshi basin of Nepal. The results show significant impact of growing season temperature and precipitation on crop production in the region. Rice, maize and wheat cultivated at altitudes below 1,100, 1,350 and 1,700 m amsl (above mean sea level), respectively, suffer from stress due to higher temperatures particularly during flowering and yield formation stages. Responses of crop yields to a unitary increment in growing season mean temperature vary from -6 to 16 %, -4 to 11 % and -12 to 3 % for rice, maize and wheat, respectively, depending on the location and elevation in the basin. In most parts of the basin, we observe warming trends in growing season mean temperatures of rice, maize and wheat over the last few decades with clear evidence of negative impacts on yields. However, at some high-elevation areas, positive impacts of warming are also observed on rice and maize yields. If the observed trends in temperature continue in future, the impact is likely to be mostly negative on crop production in the basin. However, crop production may gain from the warming at relatively higher altitudes provided other conditions, e.g., water availability, soil fertility, are favorable.

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Section: Maizementioning

confidence: 98%

Climate trends and impacts on crop production in the Koshi River basin of Nepal

et al. 2013

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“…The growth and development rates of many crops are controlled by temperature (Bannayan et al 2004). Both wheat and barley across all three locations responded to temperature (Figs.…”

Section: Temperaturementioning

confidence: 99%

Effects of precipitation and temperature on crop production variability in northeast Iran

et al. 2010

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Climate variability adversely impacts crop production and imposes a major constraint on farming planning, mostly under rainfed conditions, across the world. Considering the recent advances in climate science, many studies are trying to provide a reliable basis for climate, and subsequently agricultural production, forecasts. The El Niño-Southern Oscillation phenomenon (ENSO) is one of the principle sources of interannual climatic variability. In Iran, primarily in the northeast, rainfed cereal yield shows a high annual variability. This study investigated the role played by precipitation, temperature and three climate indices [Arctic Oscillation (AO), North Atlantic Oscillation (NAO) and NINO 3.4] in historically observed rainfed crop yields (1983-2005) of both barley and wheat in the northeast of Iran. The results revealed differences in the association between crop yield and climatic factors at different locations. The south of the study area is a very hot location, and the maximum temperature proved to be the limiting and determining factor for crop yields; temperature variability resulted in crop yield variability. For the north of the study area, NINO 3.4 exhibited a clear association trend with crop yields. In central locations, NAO provided a solid basis for the relationship between crop yields and climate factors.

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“…This model can simulate daily growth, development, and yield of maize crop as a function of daily weather conditions, soil characteristics, crop management, and crop genetic characteristics (Jones and Kiniry, 1986;Jones et al, 2003;Bannayan et al, 2004), which contribute to assessment of the impacts of environmental conditions and management practices on maize production. In addition, the effect of CO 2 fertilization on crop physiological processes is taken into consideration by this crop model.…”

Section: Crop Modelmentioning

confidence: 99%

Potential Impacts of Climate Change and Adaptation on Maize in Northeast China

Lin

Zhu

et al. 2017

Agronomy Journal

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Northeast China (NEC) is an important region for maize (Zea mays L.) production in China, and is the country's most signifi cant commercial food base. However, NEC is also one of the areas that are most signifi cantly aff ected by climate change in this country. Maize is sensitive to climatic changes, and to develop eff ective strategies for guaranteeing regional food security, it is essential to understand the mechanisms of the impacts of climate change and the eff ectiveness of adaptation measures in NEC. In this study, the Crop-Environment Resource Synthesis (CERES)-Maize v4.5 model, coupled with newly released data for Representative Concentration Pathway (RCP) scenarios, RCP4.5 and RCP8.5, was applied to simulate maize yields for future periods (2020s, 2050s, and 2080s) and to estimate the eff ect of CO 2 fertilization and the eff ectiveness of three typical adaptation measures for maize production in NEC. Th e results indicated a trend of a continuing decline in maize yield for both RCP scenarios, and the decrease in maize yield under RCP8.5 was predicted to be greater than that under RCP4.5. Th e eff ect of CO 2 fertilization was forecast to be too small to off set the negative impacts of climate change. Th ree adaptation measures-changing planting dates, switching to later-maturing cultivars, and breeding new cultivars with high thermal time requirements-could mitigate negative climate change impacts to varying degrees; switching cultivars may exert the most signifi cant eff ect on increasing maize yields. Core Ideas• Th e CERES-Maize model was applied to estimate the impacts of climate change under RCP scenarios and the eff ectiveness of three typical adaptation measures for maize production in Northeast China.• Maize yield would decline under the future climatic conditions if no adaptation measures were adopted.• Changing planting dates, switching to later-maturing cultivars and breeding new cultivars could mitigate the negative impacts of climate change to varying degrees.

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Photothermal impact on maize performance: a simulation approach

Cited by 36 publications

References 64 publications

Climate trends and impacts on crop production in the Koshi River basin of Nepal

Climate trends and impacts on crop production in the Koshi River basin of Nepal

Effects of precipitation and temperature on crop production variability in northeast Iran

Potential Impacts of Climate Change and Adaptation on Maize in Northeast China

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