Claim · model-written summary
Three principal components explained 81.145% cumulatively.
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier
Verbatim
t0“Genetic variation of fruit characters of fine wild apricot individuals in Inner Mongolia”
e0“cumulative contribution rate of three principal components reaches 81.145%”
Title
Genetic variation of fruit characters of fine wild apricot individuals in Inner Mongolia
Song Da Nonwood Forest Research 2013
Other claims from this paper (15)
- Observation Single fruit mass had the greatest variation among the listed quantitative fruit traits and the greatest selection potential.
- Method / resource Single fruit mass variation divided fruits into six groups.
- Method / resource Fruit length variation divided fruits into seven groups.
- Method / resource Fruit width variation divided fruits into seven groups.
- Method / resource Fruit length-to-width ratio variation divided fruits into six groups.
- Method / resource Pulp thickness variation divided fruits into seven groups.
- Method / resource Fruit diameter variation divided fruits into four groups.
- Association Fruit characters had no significant correlation with yield.
- Association single fruit mass was significantly correlated with kernel rate.
- Association fruit length was significantly correlated with kernel rate.
- Association fruit width was significantly correlated with kernel rate.
- Association fruit diameter was significantly correlated with kernel rate.
- Observation The first principal component was chiefly represented by single fruit mass, fruit length, fruit width, pulp thickness and fruit diameter.
- Observation Fruit length-to-width ratio was the main index of the second principal component.
- Observation Yield and kernel rate were the main indexes of the third principal component.