Replication data for: Characterizing the diversity of sweetpotato through growth parameters and leaf traits: Precocity and light use efficiency as important ordination factors
<|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 this study was to assess the main factors that explain the functional diversity of eight representative sweetpotato genotypes through a multivariate ordination based on growth parameters and physiological leaf traits. Growth parameters were determined from the biomass (leaves, stems, and storage roots), dry matter fraction and canopy cover assessed in a field experiment at the Kiboko Crop Research Station (Kenya, during 2010). Physiological leaf traits were determined by leaf mass per area (LMA), N and P content in leaves, light response curve parameters and carbon discrimination assessed in potted plants at the CIP-La Molina Experimental Station (Peru, during 2016' . 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" : ["Crop growth model","DArT","Early-maturing","Growth parameters","Ipomoea batatas","Leaf traits","Light conversion efficiency","Multivariate ordination"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The objective of this study was to assess the main factors that explain the functional diversity of eight representative sweetpotato genotypes through a multivariate ordination based on growth parameters and physiological leaf traits. Growth parameters were determined from the biomass (leaves, stems, and storage roots), dry matter fraction and canopy cover assessed in a field experiment at the Kiboko Crop Research Station (Kenya, during 2010). Physiological leaf traits were determined by leaf mass per area (LMA), N and P content in leaves, light response curve parameters and carbon discrimination assessed in potted plants at the CIP-La Molina Experimental Station (Peru, during 2016' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The objective of this study was to assess the main factors that explain the functional diversity of eight representative sweetpotato genotypes through a multivariate ordination based on growth parameters and physiological leaf traits. Growth parameters were determined from the biomass (leaves, stems, and storage roots), dry matter fraction and canopy cover assessed in a field experiment at the Kiboko Crop Research Station (Kenya, during 2010). Physiological leaf traits were determined by leaf mass per area (LMA), N and P content in leaves, light response curve parameters and carbon discrimination assessed in potted plants at the CIP-La Molina Experimental Station (Peru, during 2016
Crop growth model; DArT; Early-maturing; Growth parameters; Ipomoea batatas; Leaf traits; Light conversion efficiency; Multivariate ordination