Abstract
Sweet sorghum (Sorghum bicolor L. Moench) is highly susceptible to weed competition during the early growth stages; hence, intercropping is considered to overcome the weed competition challenge. This study was conducted to determine the performance of sweet sorghum in legume intercropping systems under different weed management pressures. Three cropping systems (sole crop, inter-row, and intra-row intercropping) and three weed management levels (no weeding after crop emergency, ceasing weeding 50 days after crop emergency, and weeding throughout) were tested. Intercropping pattern had a significant (p < 0.05) impact on the plant and the number of leaves per plant, while other treatments remained insignificant during the 2017/18 growing season. During the 2018/19 growing season, the intercropping pattern had a significant (p < 0.05) effect on dry and fresh biomass and plant height at 60 days after emergence. An increase in weeding frequencies reduced Brix (◦Bx). Uncontrolled weed plots had the lowest sweet sorghum dry biomass accumulation, whereas the biomass increased as weeding frequencies increased but remained insignificant as weeding frequencies further increased from 50% to 100% in both seasons. Consequently, SS/DB intra-row intercropping and intermediate weeding are sufficient for optimum SS biomass production and sugar levels.
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Claims 8
Claim · model-written summary
Intercropping pattern had a significant effect on the number of leaves per plant in 2017/18.
- Taxon
- Sorghum bicolor
Sorghum bicolore0 - Treatment
- Intercropping patterne1
- Outcome
- number of leaves per plante1
- Value
- p < 0.05e1
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Sweet sorghum (Sorghum bicolor L. Moench)”
e1“Intercropping pattern had a significant (p < 0.05) impact on the plant and the number of leaves per plant, while other treatments remained insignificant during the 2017/18 growing season”
Claim · model-written summary
Other treatments had no significant effect on sweet sorghum in 2017/18.
- Taxon
- Sorghum bicolorSorghum bicolore0
- Outcome
- other treatments remained insignificante1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Sweet sorghum (Sorghum bicolor L. Moench)”
e1“Intercropping pattern had a significant (p < 0.05) impact on the plant and the number of leaves per plant, while other treatments remained insignificant during the 2017/18 growing season”
Claim · model-written summary
Intercropping pattern had a significant effect on dry and fresh biomass and plant height at 60 days after emergence in 2018/19.
- Taxon
- Sorghum bicolorSorghum bicolore0
- Treatment
- the intercropping patterne1
- Outcome
- dry and fresh biomass and plant heighte1
- Value
- p < 0.05e1
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Sweet sorghum (Sorghum bicolor L. Moench)”
e1“During the 2018/19 growing season, the intercropping pattern had a significant (p < 0.05) effect on dry and fresh biomass and plant height at 60 days after emergence”
Claim · model-written summary
An increase in weeding frequency reduced Brix.
- Taxon
- Sorghum bicolorSorghum bicolore0
- Treatment
- weeding frequenciese1
- Outcome
- Brix (◦Bx)e1
- Direction
- reducede1
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Sweet sorghum (Sorghum bicolor L. Moench)”
e1“An increase in weeding frequencies reduced Brix (◦Bx)”
Claim · model-written summary
Uncontrolled weed plots had the lowest sweet sorghum dry biomass accumulation.
- Taxon
- Sorghum bicolorSorghum bicolore0
- Treatment
- Uncontrolled weed plotse1
- Interactor
- weede1weed
- Outcome
- sweet sorghum dry biomass accumulatione1
- Direction
- loweste1
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Sweet sorghum (Sorghum bicolor L. Moench)”
e1“Uncontrolled weed plots had the lowest sweet sorghum dry biomass accumulation”
Claim · model-written summary
Biomass increased as weeding frequency increased.
- Taxon
- Sorghum bicolorSorghum bicolore0
- Treatment
- weeding frequenciese2
- Outcome
- biomasse2
- Direction
- increasede2
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Sweet sorghum (Sorghum bicolor L. Moench)”
e2“the biomass increased as weeding frequencies increased”
Claim · model-written summary
Biomass did not change significantly as weeding frequency was raised further from 50% to 100%.
- Taxon
- Sorghum bicolorSorghum bicolore0
- Treatment
- weeding frequencies further increased from 50% to 100%e3
- Outcome
- biomasse2
- Direction
- remained insignificante3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Sweet sorghum (Sorghum bicolor L. Moench)”
e2“the biomass increased as weeding frequencies increased”
e3“remained insignificant as weeding frequencies further increased from 50% to 100% in both seasons”
Claim · model-written summary
Intra-row intercropping and intermediate weeding are sufficient for optimum sweet sorghum biomass production and sugar levels.
- Taxon
- Sorghum bicolorSorghum bicolore0
- Treatment
- SS/DB intra-row intercropping and intermediate weedinge4
- Outcome
- optimum SS biomass production and sugar levelse4
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Sweet sorghum (Sorghum bicolor L. Moench)”
e4“Consequently, SS/DB intra-row intercropping and intermediate weeding are sufficient for optimum SS biomass production and sugar levels”
The same questions in other papers
herbicide · growth · Sorghum bicolor (sorghum)Positive and negative results
2 papers in the same direction as this paper · 2 in the opposite direction
- negative
- negative
- positive
1 paper more in this group
See all 5 papers →Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.