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Evaluation of growth and yield traits in rice genotypes using multivariate analysis
Jiban Shrestha1, Sudeep Subedi1, Ujjawal Kumar Singh Kushwaha1
1Nepal Agricultural Research Council, National Plant Breeding and Genetics Research Centre, Khumaltar, Lalitpur, Nepal.
Heliyon
|September 16, 2021
Summary
Genetic diversity analysis of 40 rice genotypes in Nepal identified distinct clusters for breeding. Cluster 2 showed high grain yield potential, suggesting its suitability for mid-hill cultivation and hybrid breeding programs.
Area of Science:
- Agricultural Science
- Genetics
- Plant Breeding
Background:
- Rice (Oryza sativa L.) is Nepal's primary staple crop, crucial for food security.
- Understanding genetic variability is vital for effective rice breeding programs.
Purpose of the Study:
- To assess genetic diversity among 40 rice genotypes.
- To identify promising genotypes for future breeding initiatives and hybrid development.
Main Methods:
- Conducted field trials in Khumaltar, Nepal, over two rainy seasons (2018-2019).
- Utilized an Alpha Lattice Design with two replications for 40 rice genotypes.
- Analyzed growth and yield traits to group genotypes into 7 clusters.
Main Results:
- Significant variations (p < 0.01) were observed in plant height, panicle length, tillering, and grain yield.
- NR 10676-B-1-3-3-3 yielded the highest at 5.65 t/ha, followed by NR10410-89-3-2-1-1 at 5.54 t/ha.
- Cluster 2 exhibited the highest grain yield (4.97 t/ha) and significant genetic dissimilarity, making it valuable for hybrid breeding.
Conclusions:
- Genotypes within cluster 2 demonstrate high yield potential and genetic diversity.
- These findings support the use of cluster 2 genotypes for enhanced grain production in Nepal's mid-hills.
- The identified genetic dissimilarity is beneficial for developing new rice hybrids.
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