Abstract
Simulation of seed number for crop models is important in identifying cultural practices, which enhance yield stability. Field and crop simulation studies examined the relationship between dry weight accumulation and seed number per plant to potentially improve the capability of the grain sorghum [ Sorghum bicolor (L.) Moench] model, SORKAM, to simulate seed number. The best estimates of seed numbers were obtained from plant dry weight accumulated during the 360 growing degree day intervals encompassing panicle branch–spikelet formation (PBS I ) and panicle elongation through anthesis (EA I ). Comparison of observed vs. simulated seed numbers using SORKAM’s original equations accounted for 57% of the variation in seed number, but it underestimated high seed numbers. Accumulated plant dry weight for the PBS I and EA I intervals accounted for 49 and 64% of the variation in seed number, respectively. Simulation of seed numbers improved when the more sensitive water stress coefficient (for leaf area, WATCO le ) was applied to the interval (PBS I or EA I ) experiencing the highest water stress while the less sensitive water stress coefficient (for dry weight, WATCO dw ) was applied to the interval experiencing the lowest water stress. The slope from the regression of observed on simulated seed numbers was 0.80 ( r 2 = 0.57) for SORKAM with the WATCO le switch compared with 0.59 ( r 2 = 0.57) in the original SORKAM model. Hence, the timing and recovery of water stress during the panicle development period was important in estimating seed number of sorghum.
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Claims 7
Claim · model-written summary
The best seed number estimates came from plant dry weight accumulated during the 360 growing degree day intervals encompassing PBS I and EA I.
- Taxon
- grain sorghum
Sorghum bicolore0 - Treatment
- plant dry weight accumulated during the 360 growing degree day intervalse1
- Outcome
- estimates of seed numberse1
- Qualifier
- 360 growing degree day intervalse1
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“grain sorghum [ Sorghum bicolor (L.) Moench]”
e1“The best estimates of seed numbers were obtained from plant dry weight accumulated during the 360 growing degree day intervals encompassing panicle branch–spikelet formation (PBS I ) and panicle elongation through anthesis (EA I )”
Claim · model-written summary
Observed vs simulated seed numbers with SORKAM original equations explained 57% of seed number variation.
- Taxon
- grain sorghumSorghum bicolore0
- Outcome
- variation in seed numbere2
- Value
- 57%e2
- Comparator
- observed vs. simulated seed numberse2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“grain sorghum [ Sorghum bicolor (L.) Moench]”
e2“Comparison of observed vs. simulated seed numbers using SORKAM’s original equations accounted for 57% of the variation in seed number, but it underestimated high seed numbers”
Claim · model-written summary
Accumulated plant dry weight for the PBS I interval explained 49 (r2 basis) of seed number variation.
- Taxon
- grain sorghumSorghum bicolore0
- Treatment
- Accumulated plant dry weight for the PBS Ie3
- Outcome
- variation in seed numbere3
- Value
- 49e3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“grain sorghum [ Sorghum bicolor (L.) Moench]”
e3“Accumulated plant dry weight for the PBS I and EA I intervals accounted for 49 and 64% of the variation in seed number, respectively”
Claim · model-written summary
Accumulated plant dry weight for the EA I interval explained 64% of seed number variation.
- Taxon
- grain sorghumSorghum bicolore0
- Treatment
- EA I intervalse3
- Outcome
- variation in seed numbere3
- Value
- 64%e3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“grain sorghum [ Sorghum bicolor (L.) Moench]”
e3“Accumulated plant dry weight for the PBS I and EA I intervals accounted for 49 and 64% of the variation in seed number, respectively”
Claim · model-written summary
The slope of observed on simulated seed numbers was 0.80 with the WATCO le switch in SORKAM, compared with 0.59 in the original SORKAM model.
Verbatim
e5“The slope from the regression of observed on simulated seed numbers was 0.80 ( r 2 = 0.57) for SORKAM with the WATCO le switch compared with 0.59 ( r 2 = 0.57) in the original SORKAM model”
Claim · model-written summary
Simulation of seed numbers improved when the more sensitive WATCO le coefficient was applied to the interval with the highest water stress.
- Taxon
- grain sorghumSorghum bicolore0
- Treatment
- more sensitive water stress coefficient (for leaf area, WATCO le )e4
- Outcome
- Simulation of seed numberse4
- Direction
- improvede4
- Comparator
- less sensitive water stress coefficient (for dry weight, WATCO dw )e4
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“grain sorghum [ Sorghum bicolor (L.) Moench]”
e4“Simulation of seed numbers improved when the more sensitive water stress coefficient (for leaf area, WATCO le ) was applied to the interval (PBS I or EA I ) experiencing the highest water stress while the less sensitive water stress coefficient (for dry weight, WATCO dw ) was applied to the interval experiencing the lowest water stress”
Claim · model-written summary
Timing and recovery of water stress during panicle development were important in estimating sorghum seed number (author interpretation).
- Taxon
- grain sorghumSorghum bicolore0
- Treatment
- timing and recovery of water stresse6
- Outcome
- estimating seed numbere6
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“grain sorghum [ Sorghum bicolor (L.) Moench]”
e6“Hence, the timing and recovery of water stress during the panicle development period was important in estimating seed number of sorghum”
The same questions in other papers
drought · yield · Sorghum bicolor (sorghum)Results differ
8 papers in the same direction as this paper · 21 in the opposite direction
- negative
- negative
- negative
26 papers more in this group
See all 30 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.