Can Natural Farming Help to Combat Climate Variability? A Comparison of Natural and Chemical Farming in Andhra Pradesh, India  

作　　者：Zakir Hussain Vijay Kumar Thallam Reshma Soma Kiranmai Jirra Himabindu Anisetti Bhavana Boppana Neelima Dendeti Zakir Hussain;Vijay Kumar Thallam;Reshma Soma;Kiranmai Jirra;Himabindu Anisetti;Bhavana Boppana;Neelima Dendeti(Rythu Sadhikara Samstha (RySS), Guntur, AP, India)

机构地区：[1]Rythu Sadhikara Samstha (RySS), Guntur, AP, India

出　　处：《Agricultural Sciences》2023年第9期1321-1342,共22页农业科学（英文）

摘　　要：A study was conducted to compare the potential of natural farming versus conventional chemical farming to withstand adverse climate effects. The study investigated two cyclones, namely cyclone Pethai and cyclone Titli of 2018, which caused significant damage to Andhra Pradesh’s coastal corridor. In addition, the impact of heavy rainfall in 2021 on two different farming systems was studied. The worst-affected Paddy crop regions where these cyclones caused severe damage were surveyed. Multiple linear regression was utilized to investigate predictors including crop damage, wind damage, submergence, and yield loss in these two agricultural systems during these two cyclonic and heavy rainfall events. The study indicated that natural farming practices were more resilient to climate variability than conventional chemical farming techniques. The study showed a statistically significant difference (p < 0.001) between these two farming systems in terms of damage caused due to climate variabilities.A study was conducted to compare the potential of natural farming versus conventional chemical farming to withstand adverse climate effects. The study investigated two cyclones, namely cyclone Pethai and cyclone Titli of 2018, which caused significant damage to Andhra Pradesh’s coastal corridor. In addition, the impact of heavy rainfall in 2021 on two different farming systems was studied. The worst-affected Paddy crop regions where these cyclones caused severe damage were surveyed. Multiple linear regression was utilized to investigate predictors including crop damage, wind damage, submergence, and yield loss in these two agricultural systems during these two cyclonic and heavy rainfall events. The study indicated that natural farming practices were more resilient to climate variability than conventional chemical farming techniques. The study showed a statistically significant difference (p < 0.001) between these two farming systems in terms of damage caused due to climate variabilities.

关 键 词：Natural Farming Climate Resilience CYCLONES Heavy Rainfall 

分 类 号：P73[天文地球—海洋科学]