Abstract
Genetic diversity among twenty six genotypes of rice genotypes from four states of South Eastern Region of India was evaluated using Mahalanobis D2 statistic. The experimental materials were evaluated during Samba season (August- December) 2005 and 2006 at the Plant Breeding Farm (11o 24’ N latitude and 79o 44’ E longitude, + 5.79 m MSL), Annamalai University, Annamalainagar, Tamilnadu, South India. Based on 12 morphological and quality characters namely, days to first flower, productive tillers per plant, panicle length (cm), number of grains per panicle, 1000 grain weight (g), grain length (mm), grain breadth (mm), grain L/B ratio, kernel length (mm), kernel breadth (mm), kernel L/B ratio and grain yield per plant (g) these genotypes were grouped into 13 clusters. Cluster I with seven genotypes was the largest cluster followed by Cluster V with four genotypes. Clusters IV, VII, VIII, X, XI, XII and XIII were mono genotypic clusters. Genotypes from more than one place of origin were grouped in one cluster, and genotypes from one state were grouped in more than one cluster. Geographical origin was not found to be a good parameter of genetic divergence. Clusters VI, III, and XII exhibited high values for most of the characters. The intra cluster distance was maximum (D = 100.90) in cluster I. The maximum inter cluster distance (D2 = 8235.56) was recorded between clusters II and III. Cluster XII recorded highest mean value for grain yield per plant and lowest mean value for days to first flower. Number of grains per panicle (42.71%) followed by days to first flower (25.62%) contributed maximum to total divergence. Hybridization among genotypes AUR 4, Annamalai mutant ponmani, Karnool sona, Jeeraga samba, AUR 7 and PY 5 from clusters III, II, XII and IX which had maximum inter-cluster distances and desirable values for days to first flower, number of grains per panicle, kernel length, kernel breadth, 1000 grain weight and grain yield per plant is likely to produce heterotic combinations and wide variability is segregating generations.
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Claims 14
Claim · model-written summary
Twenty six rice genotypes were grouped into 13 clusters based on morphological and quality characters.
- Taxon
- RICE
Oryza sativat0 - Outcome
- grouped into 13 clusterse0
- Value
- 13 clusterse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“these genotypes were grouped into 13 clusters”
t0“RICE”
Claim · model-written summary
Cluster I had the most genotypes, with seven.
- Taxon
- RICEOryza sativat0
- Outcome
- largest clustere0
- Value
- seven genotypese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Cluster I with seven genotypes was the largest cluster”
t0“RICE”
Claim · model-written summary
Cluster V contained four genotypes.
- Taxon
- RICEOryza sativat0
- Outcome
- Cluster V with four genotypese0
- Value
- four genotypese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Cluster V with four genotypes”
t0“RICE”
Claim · model-written summary
Clusters IV, VII, VIII, X, XI, XII and XIII each contained one genotype.
- Taxon
- RICEOryza sativat0
- Outcome
- mono genotypic clusterse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Clusters IV, VII, VIII, X, XI, XII and XIII were mono genotypic clusters”
t0“RICE”
Claim · model-written summary
Genotypes from multiple origins could occur in one cluster, while genotypes from one state could occur in different clusters.
- Taxon
- RICEOryza sativat0
- Outcome
- Genotypes from more than one place of origin were grouped in one cluster, and genotypes from one state were grouped in more than one clustere0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Genotypes from more than one place of origin were grouped in one cluster, and genotypes from one state were grouped in more than one cluster”
t0“RICE”
Claim · model-written summary
Geographical origin was not a useful indicator of rice genetic divergence.
- Taxon
- RICEOryza sativat0
- Outcome
- genetic divergencee0
- Setting
- Geographical origine0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Geographical origin was not found to be a good parameter of genetic divergence”
t0“RICE”
Claim · model-written summary
Clusters VI, III and XII had high values for most assessed characters.
- Taxon
- RICEOryza sativat0
- Outcome
- most of the characterse0
- Direction
- high valuese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Clusters VI, III, and XII exhibited high values for most of the characters”
t0“RICE”
Claim · model-written summary
The largest within-cluster distance was 100.90 in cluster I.
- Taxon
- RICEOryza sativat0
- Outcome
- intra cluster distancee0
- Direction
- maximume0
- Value
- 100.90e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The intra cluster distance was maximum (D = 100.90) in cluster I”
t0“RICE”
Claim · model-written summary
The greatest between-cluster distance was 8235.56 between clusters II and III.
- Taxon
- RICEOryza sativat0
- Outcome
- inter cluster distancee0
- Direction
- maximume0
- Value
- 8235.56e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The maximum inter cluster distance (D2 = 8235.56) was recorded between clusters II and III”
t0“RICE”
Claim · model-written summary
Cluster XII had the highest mean grain yield per plant.
- Taxon
- RICEOryza sativat0
- Outcome
- grain yield per plante0
- Direction
- higheste0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Cluster XII recorded highest mean value for grain yield per plant”
t0“RICE”
Claim · model-written summary
Cluster XII had the lowest mean days to first flower.
- Taxon
- RICEOryza sativat0
- Outcome
- days to first flowere0
- Direction
- loweste0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“lowest mean value for days to first flower”
t0“RICE”
Claim · model-written summary
Number of grains per panicle contributed 42.71% to total divergence.
- Taxon
- RICEOryza sativat0
- Outcome
- Number of grains per paniclee0
- Direction
- maximume0
- Value
- 42.71%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Number of grains per panicle (42.71%) followed by days to first flower (25.62%) contributed maximum to total divergence”
t0“RICE”
Claim · model-written summary
Days to first flower contributed 25.62% to total divergence.
- Taxon
- RICEOryza sativat0
- Outcome
- days to first flowere0
- Direction
- maximume0
- Value
- 25.62%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“days to first flower (25.62%) contributed maximum to total divergence”
t0“RICE”
Claim · model-written summary
The authors expect crosses among AUR 4, Annamalai mutant ponmani, Karnool sona, Jeeraga samba, AUR 7 and PY 5 to yield heterosis and broad segregation.
- Taxon
- RICEOryza sativat0
- Outcome
- produce heterotic combinations and wide variability is segregating generationse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Hybridization among genotypes AUR 4, Annamalai mutant ponmani, Karnool sona, Jeeraga samba, AUR 7 and PY 5 from clusters III, II, XII and IX which had maximum inter-cluster distances and desirable values for days to first flower, number of grains per panicle, kernel length, kernel breadth, 1000 grain weight and grain yield per plant is likely to produce heterotic combinations and wide variability is segregating generations”
t0“RICE”