Description
This study aimed to compare the characteristics by estimating the impacts of abnormal climate and extreme climate on silage maize. In the maize-climate database, the variables were dry matter yield (DMY, kg/ha), mean temperature (MT, °C), lowest temperature (LT, °C), highest temperature (HT, °C), maximum precipitation (MP, mm/hr), accumulated precipitation (AP, mm), maximum wind speed (MW, m/s), mean wind speed (WS, m/s), sunshine duration (SD, hr). To define the abnormal climate, favorable condition was confirmed using the principal component analysis against a normal climate. In order to define the extreme climate, firstly, the median-interquartile method was used instead of the mean-standard deviation method. As a result, in mid-June, the characteristics of early monsoons without typhoons were confirmed as poor. In particular, MP in abnormal climate (20.54 mm/hr) was three times greater than that in normal climate (6.61 mm/hr). The damage in DMY caused by the abnormal climate in mid-June was estimated to be 1,155.9 kg/ha. For the extreme climate in mid-June, the low-extreme LT, high-extreme AP, and high-extreme MW were detected in the trends. However, the year records were different for each point. Thus, the damage in DMY was estimated based on high-extreme AP, as a representative scenario. As a result, the damage in DMY caused by the extreme climate in mid-June was estimated to be 927.2 kg/ha. Hence, the magnitude of yield damage to silage maize caused by extreme climate and abnormal climate, as well as characteristics of high precipitation, were similar.
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
What is the Difference Between ABNORMAL CLIMATE and EXTREME CLIMATE that Cause Yield Damage to Silage Maize (Zea mays L.)?
This study aimed to compare the characteristics by estimating the impacts of abnormal climate and extreme climate on silage maize. In the maize-climate database, the variables were dry matter yield (DMY, kg/ha), mean temperature (MT, °C), lowest temperature (LT, °C), highest temperature (HT, °C), maximum precipitation (MP, mm/hr), accumulated precipitation (AP, mm), maximum wind speed (MW, m/s), mean wind speed (WS, m/s), sunshine duration (SD, hr). To define the abnormal climate, favorable condition was confirmed using the principal component analysis against a normal climate. In order to define the extreme climate, firstly, the median-interquartile method was used instead of the mean-standard deviation method. As a result, in mid-June, the characteristics of early monsoons without typhoons were confirmed as poor. In particular, MP in abnormal climate (20.54 mm/hr) was three times greater than that in normal climate (6.61 mm/hr). The damage in DMY caused by the abnormal climate in mid-June was estimated to be 1,155.9 kg/ha. For the extreme climate in mid-June, the low-extreme LT, high-extreme AP, and high-extreme MW were detected in the trends. However, the year records were different for each point. Thus, the damage in DMY was estimated based on high-extreme AP, as a representative scenario. As a result, the damage in DMY caused by the extreme climate in mid-June was estimated to be 927.2 kg/ha. Hence, the magnitude of yield damage to silage maize caused by extreme climate and abnormal climate, as well as characteristics of high precipitation, were similar.
