全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2019 

Effect of Climatic Variability on Maize and Soybean Yield under a High Input Farming System in Copperbelt Province, Zambia | Lubinga | Journal of Sustainable Development | CCSE

DOI: 10.5539/jsd.v12n4p53

Full-Text   Cite this paper   Add to My Lib

Abstract:

In many developing countries, the effect of climate change on agriculture is evaluated with reference to small scale farmers, mainly under low input systems. As a result, literature on climate variability and its effect on high input farming systems are scanty. We evaluated the impact of climatic variability on maize and soybean yield under a high input management system. The objectives of the study were to: (i) assess rainfall and temperature variability at a high input farm (ii) evaluate the effect of rainfall and temperature on maize and soybean yield under high input management system. (iii) assess the impact of El Ni?o and La Ni?a on maize and soybean yield. Data for rainfall and temperature was obtained from the Zambia Meteorological Department which was complimented by records from the weather station located at the study site. Yield data for both maize and soybean was provided by ZAMBEEF farm. The analysis covered 32 years from 1980 to 2012. Time series plot was used to investigate the trend in minimum and maximum temperature and seasonal rainfall. Correlations were done in SPSS to establish the strength and direction of association between climatic variables (temperature and seasonal rainfall) and maize and soybean yield. Multiple Regression in SPSS was then used to analyze variation in maize and soybean yield due to climatic variables. Results revealed that minimum temperature had an increasing linear trend of 0.3°C to 0.5 per decade while maximum temperature showed an increasing linear trend of 0.2°C to 0.3°C per decade. On the other hand, seasonal rainfall was variable over the period studied. The variations in maize and soybean yield explained by seasonal rainfall and temperature was not significant with only 17.2% and 20.1% of the variation explained, respectively. Although there was no significant impact of both El Ni?o and La Ni?o on the yields of both crops, regression analysis revealed a negative relationship between El Ni?o and soybean yield and a positive relationship with maize yield and a positive relationship was showed between La Ni?a and maize and soybean yields

Full-Text

Contact Us

[email protected]

QQ:3279437679

WhatsApp +8615387084133