Linked Life Data

17615888

Source:http://linkedlifedata.com/resource/pubmed/id/17615888

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2007-7-9
pubmed:abstractText
Based on the effects of light and temperature on chrysanthemum quality and the experiments with different chrysanthemum varieties and planting dates, a quality prediction model of greenhouse standard cut chrysanthemum with the physiological product of thermal effectiveness and PAR (PTEP) as the measurement scale was developed and validated. The results showed that the predicted results, including the number of unfolding leaves, leaf area, plant height, stem diameter, internode length and flower diameter, accorded well with the observed ones, and the determination coefficient (R2) and relative prediction error (RSE) based on 1 : 1 line were 0.99, 0.98, 0.98, 0.92, 0.87 and 0.88, and 5.5%, 6.5%, 5.9%, 4.1%, 11.2%, 12.4%, respectively. This model was of high precision and practicable, which could be used in optimizing the light and temperature management for greenhouse standard cut chrysanthemum production.
pubmed:language
chi
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
1001-9332
pubmed:author
pubmed:issnType
Print
pubmed:volume
18
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
877-82
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
[Quality prediction model of greenhouse standard cut chrysanthemum based on light-temperature effect].
pubmed:affiliation
College of Agronomy, Nanjing Agricultural University, Nanjing 210095, China. yzq668668@yahoo.com.cn
pubmed:publicationType
Journal Article, English Abstract, Research Support, Non-U.S. Gov't