Assessing access and adoption of improved bean varieties among the bean growing households in Northern and Southern provinces of Zambia
<|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 data applies to ex-post analysis of improved bean variety adoption. The two provinces of Northern and Muchinga provinces in Zambia constitute the biggest area share planted to bean in the country.  A total of 402 bean growing households were selected from 67 villages across seven districts for the survey using a two-stage cluster sample selection method. All information refer to the 2012-2013 agricultural season (i.e. December 2012-April 2013). The study also contributed information on gender aspects of bean production, which was made possible by allowing data on decision-making regarding bean management, labour contribution, use of income from beans, access to extension services & credit, and group membership to be disaggregated by sex and age of household member' . 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" : ["Africa","Agrobiodiversity - AGBIO","Beans","Crop improvement","Improved bean varieties","Innovation adoption","PABRA","Plant breeding","Sex-disaggregated data","Varieties"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The data applies to ex-post analysis of improved bean variety adoption. The two provinces of Northern and Muchinga provinces in Zambia constitute the biggest area share planted to bean in the country.  A total of 402 bean growing households were selected from 67 villages across seven districts for the survey using a two-stage cluster sample selection method. All information refer to the 2012-2013 agricultural season (i.e. December 2012-April 2013). The study also contributed information on gender aspects of bean production, which was made possible by allowing data on decision-making regarding bean management, labour contribution, use of income from beans, access to extension services & credit, and group membership to be disaggregated by sex and age of household member' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The data applies to ex-post analysis of improved bean variety adoption. The two provinces of Northern and Muchinga provinces in Zambia constitute the biggest area share planted to bean in the country.  A total of 402 bean growing households were selected from 67 villages across seven districts for the survey using a two-stage cluster sample selection method. All information refer to the 2012-2013 agricultural season (i.e. December 2012-April 2013). The study also contributed information on gender aspects of bean production, which was made possible by allowing data on decision-making regarding bean management, labour contribution, use of income from beans, access to extension services & credit, and group membership to be disaggregated by sex and age of household member
Africa; Agrobiodiversity - AGBIO; Beans; Crop improvement; Improved bean varieties; Innovation adoption; PABRA; Plant breeding; Sex-disaggregated data; Varieties