Abstract
We assessed genetic diversity in 26 rice genotypes including 21 landraces and five improved varieties grown in three different nitrogen doses, viz. 0, 40, and 60 kg/ha during kharif 2014-15, and identified superior nitrogen use efficient genotypes for lowland rice ecosystem. The presence of significant genotypic differences was registered for 12 quantitative traits of nitrogen use efficiency, grain yield, and its related traits. Mahalanobis distance-based clustering grouped the genotypes into seven clusters. The maximum contribution towards divergence was due to flag leaf area followed by physiological nitrogen use efficiency and grain yield/plant. Principal component analysis performed on the 12 quantitative traits revealed that the first four principal components accounted for 83.57% variance among the genotypes. Grain yield/plant (0.43), nitrogen utilization efficiency (0.39), and nitrogen harvest index (0.37) accounted most for principal component 1. The genotypes namely Lothabor, Betguti Sali, and Luhasali were found to be suitable for the lowland rice ecosystem.
Abstract from the paper’s OpenAlex record; open copy licensed cc-by-nc-sa. 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 6
Claim · model-written summary
Rice genotypes differed significantly in 12 nitrogen use efficiency, yield and related traits.
- Taxon
- rice
Oryza sativat0 - Material
- genotypese1
- Outcome
- 12 quantitative traits of nitrogen use efficiency, grain yield, and its related traitse0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The presence of significant genotypic differences was registered for 12 quantitative traits of nitrogen use efficiency, grain yield, and its related traits.”
e1“We assessed genetic diversity in 26 rice genotypes”
t0“Evaluation of Assam rice (Oryza sativa) genotypes for nitrogen use efficiency”
Claim · model-written summary
Distance-based clustering separated the rice genotypes into seven clusters.
- Taxon
- riceOryza sativat0
- Material
- genotypese0
- Outcome
- seven clusterse0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Mahalanobis distance-based clustering grouped the genotypes into seven clusters.”
t0“Evaluation of Assam rice (Oryza sativa) genotypes for nitrogen use efficiency”
Claim · model-written summary
Flag leaf area contributed most to rice genotype divergence, followed by physiological nitrogen use efficiency and grain yield per plant.
- Taxon
- riceOryza sativat0
- Outcome
- divergencee0
- Qualifier
- flag leaf area followed by physiological nitrogen use efficiency and grain yield/plante0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The maximum contribution towards divergence was due to flag leaf area followed by physiological nitrogen use efficiency and grain yield/plant.”
t0“Evaluation of Assam rice (Oryza sativa) genotypes for nitrogen use efficiency”
Claim · model-written summary
The first four principal components explained 83.57% of variance among rice genotypes.
- Taxon
- riceOryza sativat0
- Material
- genotypese0
- Outcome
- variancee0
- Value
- 83.57%e0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the first four principal components accounted for 83.57% variance among the genotypes.”
t0“Evaluation of Assam rice (Oryza sativa) genotypes for nitrogen use efficiency”
Claim · model-written summary
Grain yield per plant, nitrogen utilization efficiency and nitrogen harvest index contributed most to the first principal component.
- Taxon
- riceOryza sativat0
- Outcome
- principal component 1e0
- Qualifier
- Grain yield/plant (0.43), nitrogen utilization efficiency (0.39), and nitrogen harvest index (0.37)e0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Grain yield/plant (0.43), nitrogen utilization efficiency (0.39), and nitrogen harvest index (0.37) accounted most for principal component 1.”
t0“Evaluation of Assam rice (Oryza sativa) genotypes for nitrogen use efficiency”
Claim · model-written summary
Lothabor, Betguti Sali and Luhasali were considered suitable for lowland rice.
- Taxon
- riceOryza sativae0
- Material
- Lothabor, Betguti Sali, and Luhasalie0
- Outcome
- suitable for the lowland rice ecosysteme0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The genotypes namely Lothabor, Betguti Sali, and Luhasali were found to be suitable for the lowland rice ecosystem.”