View: List Claim type Research area Organism Taxon as written Decade Paper Taxon: rice ✕
Taxon groups are the verbatim names found in the abstracts (case-insensitive), not normalised: maize, corn and Zea mays are separate groups here. The Organism view merges them through NCBI Taxonomy.
Observation observed original result measured Claim · model-written summary
The magnitude of decrease in total C was 0.057% during decomposition of crop residue in soil.
Verbatim
t0 “rice straw ”
✓ located verbatim in the source · title, characters 18–28 e0 “The magnitude of decrease in the total C was 0.057% during decomposition of crop residue in soil ”
✓ located verbatim in the source · abstract, characters 819–915 Other claims from this paper (3) Association observed original result significant (as stated) measured Claim · model-written summary
Decrease in extractable Zn correlated positively with pH increase.
magnitude of decrease e0 positive correlation e0 Verbatim
e0 “The magnitude of decrease showed significant positive correlation with the increase in pH. CO32-, S2- and amorphous Fe colllent of the soils on submergence. ”
✓ located verbatim in the source · abstract, characters 336–492 t0 “Rice ”
✓ located verbatim in the source · title, characters 61–65 Other claims from this paper (5) Association observed original result significant (as stated) measured Claim · model-written summary
Decrease in extractable Zn correlated positively with soil carbonate.
magnitude of decrease e0 positive correlation e0 Verbatim
e0 “The magnitude of decrease showed significant positive correlation with the increase in pH. CO32-, S2- and amorphous Fe colllent of the soils on submergence. ”
✓ located verbatim in the source · abstract, characters 336–492 t0 “Rice ”
✓ located verbatim in the source · title, characters 61–65 Other claims from this paper (5) Association observed original result significant (as stated) measured Claim · model-written summary
Decrease in extractable Zn correlated positively with soil sulfide.
magnitude of decrease e0 positive correlation e0 Verbatim
e0 “The magnitude of decrease showed significant positive correlation with the increase in pH. CO32-, S2- and amorphous Fe colllent of the soils on submergence. ”
✓ located verbatim in the source · abstract, characters 336–492 t0 “Rice ”
✓ located verbatim in the source · title, characters 61–65 Other claims from this paper (5) Association observed original result significant (as stated) measured Claim · model-written summary
Decrease in extractable Zn correlated positively with amorphous Fe.
magnitude of decrease e0 positive correlation e0 Verbatim
e0 “The magnitude of decrease showed significant positive correlation with the increase in pH. CO32-, S2- and amorphous Fe colllent of the soils on submergence. ”
✓ located verbatim in the source · abstract, characters 336–492 t0 “Rice ”
✓ located verbatim in the source · title, characters 61–65 Other claims from this paper (5) Association observed original result positive measured Claim · model-written summary
Growing rice decrease d system nitrogen losses.
growing plants e0 magnitude of N losses from the system e0 Verbatim
e0 “The influence of growing plants was to decrease the magnitude of N losses from the system ”
✓ located verbatim in the source · abstract, characters 925–1014 e1 “were applied to rice ”
✓ located verbatim in the source · abstract, characters 84–104 Other claims from this paper (8) Intervention effect author interpretation original result positive measured Claim · model-written summary
Bejar seemed more tolerant of iron deficiency than Jozdan, Amol 2 and Shiroudi, with a smaller biomass decrease .
iron deficiency condition e4 magnitude of decrease of total biomass e4 seemed to be more tolerant e4 Jozdan, Amol 2, and Shiroudi e4 Verbatim
t0 “Iranian Rice Landraces ”
✓ located verbatim in the source · title, characters 48–70 e4 “Based on the magnitude of decrease of total biomass under iron deficiency condition, genotypes such as Musa-Tarom, Bejar, and Zayande Roud seemed to be more tolerant in comparison to Jozdan, Amol 2, and Shiroudi ”
✓ located verbatim in the source · abstract, characters 1500–1711 Other claims from this paper (9) Intervention effect Iron fertilizer and genotype significantly affected iron content of rice, with an interaction. Intervention effect Iron fertilizer and genotype significantly affected shoot dry weight, root dry weight and total dry weight of rice. Intervention effect Iron fertilizer and genotype significantly affected leaf area, root length and root volume of rice. Intervention effect Iron fertilizer and genotype significantly affected the number of tillers of rice. Intervention effect Northern rice landraces lost dry weight under iron deficiency, from a mean of 0.215 g per plant under no iron deficiency. Intervention effect Northern improved rice genotypes lost dry weight under iron deficiency, from a mean of 0.138 g per plant under no iron deficiency. Intervention effect Central Iranian rice genotypes lost dry weight under iron deficiency, from a mean of 0.255 g per plant under no iron deficiency. Intervention effect Musa-Tarom seemed more tolerant of iron deficiency than Jozdan, Amol 2 and Shiroudi, with a smaller biomass decrease. Intervention effect Zayande Roud seemed more tolerant of iron deficiency than Jozdan, Amol 2 and Shiroudi, with a smaller biomass decrease. Intervention effect author interpretation original result positive measured Claim · model-written summary
Musa-Tarom seemed more tolerant of iron deficiency than Jozdan, Amol 2 and Shiroudi, with a smaller biomass decrease .
iron deficiency condition e4 magnitude of decrease of total biomass e4 seemed to be more tolerant e4 Jozdan, Amol 2, and Shiroudi e4 Verbatim
t0 “Iranian Rice Landraces ”
✓ located verbatim in the source · title, characters 48–70 e4 “Based on the magnitude of decrease of total biomass under iron deficiency condition, genotypes such as Musa-Tarom, Bejar, and Zayande Roud seemed to be more tolerant in comparison to Jozdan, Amol 2, and Shiroudi ”
✓ located verbatim in the source · abstract, characters 1500–1711 Other claims from this paper (9) Intervention effect Iron fertilizer and genotype significantly affected iron content of rice, with an interaction. Intervention effect Iron fertilizer and genotype significantly affected shoot dry weight, root dry weight and total dry weight of rice. Intervention effect Iron fertilizer and genotype significantly affected leaf area, root length and root volume of rice. Intervention effect Iron fertilizer and genotype significantly affected the number of tillers of rice. Intervention effect Northern rice landraces lost dry weight under iron deficiency, from a mean of 0.215 g per plant under no iron deficiency. Intervention effect Northern improved rice genotypes lost dry weight under iron deficiency, from a mean of 0.138 g per plant under no iron deficiency. Intervention effect Central Iranian rice genotypes lost dry weight under iron deficiency, from a mean of 0.255 g per plant under no iron deficiency. Intervention effect Bejar seemed more tolerant of iron deficiency than Jozdan, Amol 2 and Shiroudi, with a smaller biomass decrease. Intervention effect Zayande Roud seemed more tolerant of iron deficiency than Jozdan, Amol 2 and Shiroudi, with a smaller biomass decrease. Intervention effect author interpretation original result positive measured Claim · model-written summary
Zayande Roud seemed more tolerant of iron deficiency than Jozdan, Amol 2 and Shiroudi, with a smaller biomass decrease .
iron deficiency condition e4 magnitude of decrease of total biomass e4 seemed to be more tolerant e4 Jozdan, Amol 2, and Shiroudi e4 Verbatim
t0 “Iranian Rice Landraces ”
✓ located verbatim in the source · title, characters 48–70 e4 “Based on the magnitude of decrease of total biomass under iron deficiency condition, genotypes such as Musa-Tarom, Bejar, and Zayande Roud seemed to be more tolerant in comparison to Jozdan, Amol 2, and Shiroudi ”
✓ located verbatim in the source · abstract, characters 1500–1711 Other claims from this paper (9) Intervention effect Iron fertilizer and genotype significantly affected iron content of rice, with an interaction. Intervention effect Iron fertilizer and genotype significantly affected shoot dry weight, root dry weight and total dry weight of rice. Intervention effect Iron fertilizer and genotype significantly affected leaf area, root length and root volume of rice. Intervention effect Iron fertilizer and genotype significantly affected the number of tillers of rice. Intervention effect Northern rice landraces lost dry weight under iron deficiency, from a mean of 0.215 g per plant under no iron deficiency. Intervention effect Northern improved rice genotypes lost dry weight under iron deficiency, from a mean of 0.138 g per plant under no iron deficiency. Intervention effect Central Iranian rice genotypes lost dry weight under iron deficiency, from a mean of 0.255 g per plant under no iron deficiency. Intervention effect Musa-Tarom seemed more tolerant of iron deficiency than Jozdan, Amol 2 and Shiroudi, with a smaller biomass decrease. Intervention effect Bejar seemed more tolerant of iron deficiency than Jozdan, Amol 2 and Shiroudi, with a smaller biomass decrease. Association observed original result measured Claim · model-written summary
Inferior grain quality varieties showed greater changes than superior ones.
inferior grain quality varieties e0 magnitude of the increase or decrease e0 superior ones e0 Verbatim
e0 “inferior grain quality varieties showed a greater magnitude of the increase or decrease than the superior ones. ”
✓ located verbatim in the source · abstract, characters 479–590 t0 “Rice ”
✓ located verbatim in the source · title, characters 123–127 Other claims from this paper (11) Lexical search (BM25). All words must match; if nothing does, any word. Organism names also match every spelling of the same organism. No semantic search yet.
Oryza sativat0