Characteristics Analysis of Summer Maize Yield Loss Caused by Drought Stress in the Northern Huaihe Plain, China

2017 ◽  
Vol 67 (2) ◽  
pp. 251-268 ◽  
Author(s):  
Simin Geng ◽  
Denghua Yan ◽  
Zhiyong Yang ◽  
Zhongbo Zhang ◽  
Meijian Yang ◽  
...  
Keyword(s):  
Drought Stress ◽  
Yield Loss ◽  
Maize Yield ◽  
Summer Maize ◽  
Characteristics Analysis

scholarly journals Simulated Assessment of Summer Maize Drought Loss Sensitivity in Huaibei Plain, China

Agronomy ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 78 ◽  
Author(s):  
Yanqi Wei ◽  
Juliang Jin ◽  
Shangming Jiang ◽  
Shaowei Ning ◽  
Yi Cui ◽  
...  
Keyword(s):  
Drought Stress ◽  
Grain Yield ◽  
Water Deficit ◽  
Dry Matter ◽  
Yield Loss ◽  
Agricultural Drought ◽  
Summer Maize ◽  
Jointing Stage ◽  
Two Stages ◽  
Yield Formation

In an agricultural drought risk system, crop drought loss sensitivity evaluation is a fundamental link for quantitative agricultural drought loss risk assessment. Summer maize growth processes under various drought patterns were simulated using the Cropping System Model (CSM)-CERES-maize, which was calibrated and validated based on pit experiments conducted in the Huaibei Plain during 2016 and 2017 seasons. Then S-shaped maize drought loss sensitivity curve was built for fitting the relationship between drought hazard index intensity at a given stage and the corresponding dry matter accumulation and grain yield loss rate, respectively. Drought stress reduced summer maize evapotranspiration, dry matter, and yield accumulation, and the reductions increased with the drought intensity at each stage. Moreover, the losses caused by drought at different stages were significantly different. When maize plants were exposed to a severe water deficit at the jointing stage, the dry matter and grain yield formation were greatly affected. Therefore, maize growth was more sensitive to drought stress at the jointing stage when the stress was serious. Furthermore, when plants encountered a relatively slight drought during the seedling or jointing stage, which represented as a lower soil water deficit intensity, the grain yield loss rates approached the maximum for the sensitivity curves of these two stages. Therefore, summer maize tolerance to water deficit at the seedling and jointing stages were weak, and yield formation was more sensitive to water deficit during these two stages when the deficit was relatively slight.

Black plastic film combined with straw mulching delays senescence and increases summer maize yield in northwest China

2020 ◽  
Vol 231 ◽  
pp. 106031 ◽  
Author(s):  
Yajin Hu ◽  
Penghui Ma ◽  
Chenxiao Duan ◽  
Shufang Wu ◽  
Hao Feng ◽  
...  
Keyword(s):  
Maize Yield ◽  
Northwest China ◽  
Plastic Film ◽  
Summer Maize ◽  
Straw Mulching ◽  
Black Plastic

scholarly journals Assessment of Yield Loss in Maize due to Attack by the Maize Borer, Chilo partellus (Swinhoe)

1970 ◽  
Vol 11 ◽  
pp. 25-30
Author(s):  
Prem Nidhi Sharma ◽  
Purushottam Gautam
Keyword(s):  
Chilo Partellus ◽  
Yield Loss ◽  
Plant Protection ◽  
Grain Weight ◽  
Summer Maize ◽  
Maize Productivity ◽  
Stem Breakage ◽  
Maize Borer ◽  
Yield Difference ◽  
1000 Grain Weight

The maize borer, Chilo partellus (Swinhoe), is one of the major biotic constrains reducing maize productivity in Nepal. Summer maize is infested mainly by it rather than by other insect species in Nepal. National Maize Research Program (NMRP)-Rampur farm was considered as a potential spot for this study where summer maize is highly infested every year by this pest. This study was conducted during the summers of 2004 and 2005 with an objective of assessing the loss by it in maize. A maize variety, Arun-2, was used in this study. Yield loss by this pest was estimated by obtaining the yield difference between the chemically protected and unprotected maize plants. Number of plant stands, number of stem breakage, number of ears harvested, number of poor cobs, 1000 grain weight, and stem tunneling were also recorded as the yield affecting factors. The yield difference was significantly less (by 28%) in unprotected maize as compared to protected maize. Number of plant stands, number of ears harvested and 1000 grain weight were found less (by 8.5, 14, and 6%, respectively) whereas number of stem breakage, number of poor cobs, length of tunnels per plant and per tunnel length were found higher (by 16, 6, 30, and 24%, respectively) in unprotected maize. This study has suggested that application of plant protection measures against C. patellus can significantly increase maize productivity and hence can greatly contribute in poverty alleviation in Nepal. Key words: maize borer; Chilo partellus; yield loss assessment; maize DOI: 10.3126/njst.v11i0.4085Nepal Journal of Science and Technology 11 (2010) 25-30 The maize borer, Chilo partellus (Swinhoe), is one of the major biotic constrains reducing maize productivity in Nepal. Summer maize is infested mainly by it rather than by other insect species in Nepal. National Maize Research Program (NMRP)-Rampur farm was considered as a potential spot for this study where summer maize is highly infested every year by this pest. This study was conducted during the summers of 2004 and 2005 with an objective of assessing the loss by it in maize. A maize variety, Arun-2, was used in this study. Yield loss by this pest was estimated by obtaining the yield difference between the chemically protected and unprotected maize plants. Number of plant stands, number of stem breakage, number of ears harvested, number of poor cobs, 1000 grain weight, and stem tunneling were also recorded as the yield affecting factors. The yield difference was significantly less (by 28%) in unprotected maize as compared to protected maize. Number of plant stands, number of ears harvested and 1000 grain weight were found less (by 8.5, 14, and 6%, respectively) whereas number of stem breakage, number of poor cobs, length of tunnels per plant and per tunnel length were found higher (by 16, 6, 30, and 24%, respectively) in unprotected maize. This study has suggested that application of plant protection measures against C. patellus can significantly increase maize productivity and hence can greatly contribute in poverty alleviation in Nepal. Key words: maize borer, Chilo partellus, yield loss assessment, maize

DIFFERENTIAL RESPONSES OF YIELD AND SELECTED NUTRITIONAL COMPOSITIONS TO DROUGHT STRESS IN SUMMER MAIZE GRAINS

2010 ◽  
Vol 33 (12) ◽  
pp. 1811-1818 ◽  
Author(s):  
Ti Da Ge ◽  
Fang Gong Sui ◽  
San'an Nie ◽  
Ning Bo Sun ◽  
He'ai Xiao ◽  
...  
Keyword(s):  
Drought Stress ◽  
Summer Maize ◽  
Differential Responses

Factors affecting summer maize yield under climate change in Shandong Province in the Huanghuaihai Region of China

2011 ◽  
Vol 56 (4) ◽  
pp. 621-629 ◽  
Author(s):  
Guoqing Chen ◽  
Hongjun Liu ◽  
Jiwang Zhang ◽  
Peng Liu ◽  
Shuting Dong
Keyword(s):  
Climate Change ◽  
Maize Yield ◽  
Shandong Province ◽  
Summer Maize ◽  
Factors Affecting

Global contribution of climate variability and trends to maize yield change in observations and crop models during 1980-2010

2020 ◽  
Author(s):  
Xiaomeng Yin ◽  
Guoyong Leng
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Statistical Model ◽  
Yield Loss ◽  
Climate Change Impacts ◽  
Maize Yield ◽  
Climate Impacts ◽  
Future Climate Change ◽  
Crop Models ◽  
Process Based Models

<p>Understanding historical crop yield response to climate change is critical for projecting future climate change impacts on yields. Previous assessments rely on statistical or process-based crop models, but each has its own strength and weakness. A comprehensive comparison of climate impacts on yield between the two approaches allows for evaluation of the uncertainties in future yield projections. Here we assess the impacts of historical climate change on global maize yield for the period 1980-2010 using both statistical and process-based models, with a focus on comparing the performances between the two approaches. To allow for reasonable comparability, we develop an emulator which shares the same structure with the statistical model to mimic the behaviors of process-based models. Results show that the simulated maize yields in most of the top 10 producing countries are overestimated, when compared against FAO observations. Overall, GEPIC, EPIC-IIASA and EPIC-Boku show better performance than other models in reproducing the observed yield variations at the global scale. Climate variability explains 42.00% of yield variations in observation-based statistical model, while large discrepancy is found in crop models. Regionally, climate variability is associated with 55.0% and 52.20% of yield variations in Argentina and USA, respectively. Further analysis based on process-based model emulator shows that climate change has led to a yield loss by 1.51%-3.80% during the period 1980-1990, consistent with the estimations using the observation-based statistical model. As for the period 1991-2000, however, the observed yield loss induced by climate change is only captured by GEPIC and pDSSAT. In contrast to the observed positive climate impact for the period 2001-2010, CLM-Crop, EPIC-IIASA, GEPIC, pAPSIM, pDSSAT and PEGASUS simulated negative climate effects. The results point to the discrepancy between process-based and statistical crop models in simulating climate change impacts on maize yield, which depends on not only the regions, but also the specific time period. We suggest that more targeted efforts are required for constraining the uncertainties of both statistical and process-based crop models for future yield predictions. </p>

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