Explaining rice yields and yield gaps in Central Luzon, Philippines: An application of stochastic frontier analysis and crop modelling
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The objective of the study was to decompose the rice yield gap into an efficiency, resource and technology yield gaps and to explain those using information related to crop management, farmers' objectives and constraints and production technology employed. Soil samples were collected to assess the influence of key soil properties on the efficiency yield gap' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["exchangeable potassium","Olsen-P","organic carbon","soi density (bulk density)","soil pH"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The objective of the study was to decompose the rice yield gap into an efficiency, resource and technology yield gaps and to explain those using information related to crop management, farmers' objectives and constraints and production technology employed. Soil samples were collected to assess the influence of key soil properties on the efficiency yield gap' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The objective of the study was to decompose the rice yield gap into an efficiency, resource and technology yield gaps and to explain those using information related to crop management, farmers' objectives and constraints and production technology employed. Soil samples were collected to assess the influence of key soil properties on the efficiency yield gap
exchangeable potassium; Olsen-P; organic carbon; soi density (bulk density); soil pH