Abstract
Lentil ( Lens culinaris Medik.) is a major crop highly valued in the food and nutritional security of millions of people, as well as a rotation crop. Lentil is grown in areas facing many environmental constraints from low moisture availability and high temperatures to winter cold at high elevations. The use of an appropriate and robust crop model can offer mechanistic bases for exploring and extrapolating the impact of a given plant trait or crop management across a range of environments. First, we used the generic SSM‐Legumes model to develop a simple and transparent lentil model. The SSM‐Legumes model had a robust predictive capability to assess variation in the phenological development and yield of lentil in three locations in the Middle East (Lebanon and Syria) with large differences in rainfall. The agreement between simulated and observed days to flowering or maturity and yield showed the robustness of the model in predicting lentil growth and yield. Second, we incorporated into SSM‐legumes a submodel allowing a more realistic accounting of crop survival at very low soil water content, resulting in more realistic predictions of lentil growth and yield. Third, we used the model to test the potential for increasing lentil yields by the retention of crop residue on the soil surface to decrease soil evaporation. Our results showed yield increases of up to 25% in all three locations from the retention of previous crop residues.
Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 3
Claim · model-written summary
The SSM-Legumes based lentil model agreed with observed days to flowering or maturity and yield, showing it predicts lentil growth and yield robustly.
- Taxon
- lentil
Lens culinarise1 - Outcome
- agreement between simulated and observed days to flowering or maturity and yielde1
- Comparator
- observed days to flowering or maturity and yielde1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“The agreement between simulated and observed days to flowering or maturity and yield showed the robustness of the model in predicting lentil growth and yield”
Claim · model-written summary
Adding a crop survival submodel for very low soil water content gave more realistic predictions of lentil growth and yield.
- Taxon
- lentilLens culinarise1
- Outcome
- more realistic predictions of lentil growth and yielde1
- Value
- more realistice1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“a submodel allowing a more realistic accounting of crop survival at very low soil water content, resulting in more realistic predictions of lentil growth and yield”
Claim · model-written summary
Model simulations showed lentil yield increases of up to 25% in all three locations from retaining previous crop residues on the soil surface.
- Taxon
- LentilLens culinarist0
- Treatment
- retention of previous crop residuese1
- Outcome
- yielde1
- Direction
- increasese1
- Value
- up to 25%e1
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“Our results showed yield increases of up to 25% in all three locations from the retention of previous crop residues”
t0“Lentil”
The same questions in other papers
organic · yield · Lens culinaris (lentil)Results differ
7 papers in the same direction as this paper · 1 in the opposite direction
- no effect
- positive
- positive
5 papers more in this group
See all 9 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.