Linked Life Data

10743182

Source:http://linkedlifedata.com/resource/pubmed/id/10743182

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2000-5-9
pubmed:abstractText
Regression method of orthogonal conic substitution with factors was employed to build up a tuber yield simulation model. Three main measures (sowing time, plant population, application rate of fertilizer) affecting the tuber yield were analyzed by the mathematical model of three unknown second order orthogonal rotative regression. The optimal agronomic measures were obtained. The results indicate that sowing time and plant population play a important role in raising the tuber yield. Sowing time is clearly interrelated with plant population, and likewise, plant population application rate of fertilizer.
pubmed:language
chi
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1001-5302
pubmed:author
pubmed:issnType
Print
pubmed:volume
22
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
145-7, 190-1
pubmed:dateRevised
2008-2-6
pubmed:meshHeading
pubmed:year
1997
pubmed:articleTitle
[Optimal high-yield agronomic measures for Curcuma longa L].
pubmed:affiliation
Sichan Institute of Chinese Materia Medica, Chongqing.
pubmed:publicationType
Journal Article, English Abstract