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Genetic diversity analysis in elite lines of tomato (Solanum lycopersicum L.) for growth, yield and quality parameters
- Source :
- Genetika, Vol 49, Iss 1, Pp 329-344 (2017)
- Publication Year :
- 2017
- Publisher :
- Serbian Genetics Society, 2017.
-
Abstract
- To increase productivity in tomato, it is necessary to develop superior varieties/hybrids. This is, in part, dependent on variability in the genetic material which affects agro-morphological and biochemical characters in crop breeding. A study was conducted with 51 tomato genotypes and the standard checks/reference cultivars Punjab Upma, Punjab Chuhhara and Punjab Ratta to determine character association, path coefficient analysis and genetic diversity to select genotypes and traits for breeding. There were differences among genotypes for all characters indicating a high degree of variability in the material. Overall, highly significant, positive, correlation coefficients, as well as high direct effects of fruit weight and marketable yield on total fruit yield, indicated these traits are reliable components for selecting high fruit yielding tomato genotypes. The D2 statistics confirmed the highest inter-cluster distance between clusters VI and VIII (27638.44). Maximum similarity was observed in clusters IV and VI (191.02). This indicated existence of the possibility to improve genotypes through hybridization from any pair of clusters and subsequent selection can be made from segregant generations.
- Subjects :
- 0106 biological sciences
0301 basic medicine
lcsh:QH426-470
Genetic relationship
Plant Science
01 natural sciences
Crop
03 medical and health sciences
Path coefficient
Genetics
Cultivar
Hybrid
Genetic diversity
biology
Crop yield
food and beverages
genetic diversity
biology.organism_classification
Solanum lycopersicum L
genetic relationship
lcsh:Genetics
030104 developmental biology
Agronomy
morphological traits
Solanum
010606 plant biology & botany
Subjects
Details
- Language :
- English
- ISSN :
- 18206069 and 05340012
- Volume :
- 49
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Genetika
- Accession number :
- edsair.doi.dedup.....3c3ae5ce79d1a7c555259dfbf1644342