Paper · 1992 · HortScience

PATH ANALYSIS OF NIGHTSHADE (SOLANUM NIGRUM L. AND S. PTYCANTHUM DUN.) COMPETITION WITH TOMATO

Milton E. McGiffen; Dan J. Pantone

4
claims
8
verbatim quotes
0
citations
2
research areas
✓
Open access

Abstract

Path analysis is a statistical method for determining the magnitude and direction of multiple effects on a complex process. We used path analysis to determine the direct effects of nightshade density on yield components (number of green fruit per plant, rotted fruit per plant, total fruit per plant, and weight per fruit) of the processing tomato cv. Heinz 6004. In addition, the analysis indicated the direct and indirect effects of yield components on total yield per ha and marketable yield per ha. The greatest direct effects of eastern black nightshade and black nightshade were on green fruit per plant and total fruit per plant. Effects other than density (density-independent factors) were more important in determining the number of rotted fruit per plant and weight per fruit. Path analysis showed that the total number of fruit per plant was the most important yield component determining total yield and marketable yield per ha.

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Claims 4

Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Eastern black nightshade had its greatest direct effects on green and total fruit per tomato plant.

Interactor
eastern black nightshadeSolanum ptychanthume0weed
Outcome
green fruit per plant and total fruit per plante0
Direction
greateste0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗
Solanum ptychanthum
Solanum ptychanthum · InteractorBruce Ackley, The Ohio State University, Bugwood.org - See more at: https://www.forestryimages.org/browse/detail.cfm?imgnum=5437070#sthash.5LtihJu5.dpuf · CC BY 3.0 us · Wikimedia Commons ↗

Verbatim

e0

“The greatest direct effects of eastern black nightshade and black nightshade were on green fruit per plant and total fruit per plant”

✓ located verbatim in the source · abstract, characters 503–635 · show in text ↑
t0

“TOMATO”

✓ located verbatim in the source · title, characters 88–94 · show in text ↑
Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Black nightshade had its greatest direct effects on green and total fruit per tomato plant.

Interactor
black nightshadeSolanum nigrume0weed
Outcome
green fruit per plant and total fruit per plante0
Direction
greateste0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗
Solanum nigrum
Solanum nigrum · InteractorHladac · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“The greatest direct effects of eastern black nightshade and black nightshade were on green fruit per plant and total fruit per plant”

✓ located verbatim in the source · abstract, characters 503–635 · show in text ↑
t0

“TOMATO”

✓ located verbatim in the source · title, characters 88–94 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Density-independent factors were more important than nightshade density for rotted fruit count and fruit weight.

Outcome
number of rotted fruit per plant and weight per fruite0
Direction
more importante0
Qualifier
density-independent factorse0
Comparator
densitye0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“Effects other than density (density-independent factors) were more important in determining the number of rotted fruit per plant and weight per fruit”

✓ located verbatim in the source · abstract, characters 637–786 · show in text ↑
e1

“processing tomato cv. Heinz 6004”

✓ located verbatim in the source · abstract, characters 330–362 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Total fruit count per plant was the most important component for total and marketable tomato yield per hectare.

Organ / stage
fruit per plante0
Outcome
total yield and marketable yield per hae0
Direction
most importante0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“the total number of fruit per plant was the most important yield component determining total yield and marketable yield per ha”

✓ located verbatim in the source · abstract, characters 814–940 · show in text ↑
e1

“processing tomato cv. Heinz 6004”

✓ located verbatim in the source · abstract, characters 330–362 · show in text ↑