Abstract
The correlation analysis,regression analysis and path analysis were carried out to study the relationships between main agronomic characters and plot effective yield of 8 varieties of raspberry(Rubus corchorifolius).The results displayed that the order of the correlation coefficient between various agronomic characters and plot effective yield was:average fruit weight number of lateral roots length of multi-year basal branches width of lateral roots width of taproots number of fruit branches width of multi-year basal branches average number of fruits per branch average number of basal branches per plant average yield per plant.The multiple regression equation was:y = 1.29 + 1.63x3-1.02x4-2.35x6-2.63x7+ 2.31x8+ 2.15x10.Path analysis showed that the number of lateral roots,average fruit weight and average yield per plant had direct positive effects on the plot effective yield of raspberry;the width of taproots,length of multi-year basal branches,and average number of basal branches per plant had direct negative effects;the width of taproots,length of multi-year basal branches,and average number of basal branches per plant could affect the plot effective yield through coordinating other characters.
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Claims 5
Claim · model-written summary
The study ranked correlations between agronomic traits and plot effective yield.
- Taxon
- Rubus corchorifolius
Rubus corchorifoliust0 - Organ / stage
- lateral rootse0
- Outcome
- plot effective yielde0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the order of the correlation coefficient between various agronomic characters and plot effective yield was:average fruit weight number of lateral roots length of multi-year basal branches width of lateral roots width of taproots number of fruit branches width of multi-year basal branches average number of fruits per branch average number of basal branches per plant average yield per plant.”
t0“Rubus corchorifolius”
Claim · model-written summary
Multiple regression estimated plot yield from six predictors.
- Taxon
- Rubus corchorifoliusRubus corchorifoliust0
- Outcome
- multiple regression equatione0
- Comparator
- y = 1.29 + 1.63x3-1.02x4-2.35x6-2.63x7+ 2.31x8+ 2.15x10e0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The multiple regression equation was:y = 1.29 + 1.63x3-1.02x4-2.35x6-2.63x7+ 2.31x8+ 2.15x10.”
t0“Rubus corchorifolius”
Claim · model-written summary
Lateral root number, fruit weight and yield per plant had direct positive effects on plot yield.
Verbatim
e0“the number of lateral roots,average fruit weight and average yield per plant had direct positive effects on the plot effective yield of raspberry”
Claim · model-written summary
Taproot width, basal branch length and basal branch number had direct negative effects on plot yield.
- Taxon
- Rubus corchorifoliusRubus corchorifoliust0
- Organ / stage
- taprootse0
- Outcome
- direct negative effectse0
- Direction
- negativee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the width of taproots,length of multi-year basal branches,and average number of basal branches per plant had direct negative effects”
t0“Rubus corchorifolius”
Claim · model-written summary
Those three traits also affected plot yield through other traits.
- Taxon
- Rubus corchorifoliusRubus corchorifoliust0
- Organ / stage
- taprootse0
- Outcome
- plot effective yielde0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the width of taproots,length of multi-year basal branches,and average number of basal branches per plant could affect the plot effective yield through coordinating other characters.”
t0“Rubus corchorifolius”