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Evaluation of growth and yield traits in rice genotypes using multivariate analysis
Rice (Oryza sativa L.) is the first staple crop in terms of production and area of cultivation in Nepal. The amount of genetic variability is important factor in identifying suitable genotypes in rice breeding programs. This study was conducted in Khumaltar, Lalitpur, Nepal during rainy seasons of 2...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429088/ https://www.ncbi.nlm.nih.gov/pubmed/34527828 http://dx.doi.org/10.1016/j.heliyon.2021.e07940 |
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author | Shrestha, Jiban Subedi, Sudeep Singh Kushwaha, Ujjawal Kumar Maharjan, Bidhya |
author_facet | Shrestha, Jiban Subedi, Sudeep Singh Kushwaha, Ujjawal Kumar Maharjan, Bidhya |
author_sort | Shrestha, Jiban |
collection | PubMed |
description | Rice (Oryza sativa L.) is the first staple crop in terms of production and area of cultivation in Nepal. The amount of genetic variability is important factor in identifying suitable genotypes in rice breeding programs. This study was conducted in Khumaltar, Lalitpur, Nepal during rainy seasons of 2018 and 2019. Forty rice genotypes were planted in Alpha Lattice Design with two replications to determine the genetic diversity among them. The rice genotypes were grouped into 7 clusters based on growth and yield traits. The traits sucnamely plant height, panicle length, number of tillers/plant and grain yield were found highly significant (p < 0.01). Rice genotypes NR 10676-B-1-3-3-3 produced the highest yield (5.65 t/ha), followed by NR10410-89-3-2-1-1 (5.54 t/ha). The highest distance between cluster centroids (83.51) was found in the cluster 2 (Bange Masino, Hansa raj, Indrabeli, NR 11178-B-B-6-1, NR 11368-B-B-17, Pokhreli Jethobudho, Pokhreli Masino), and cluster 4 (IR73008-136-2-2-3, IR74052-95-3-2) indicating genetic dissimilarity among the genotypes which can be utilized in a hybrid breeding programme. Genotypes of cluster 2 had the highest grain yield (4.97 t/ha). The results of this study suggest that genotypes grouped in cluster 2 can be grown for higher grain production in mid-hills of Nepal. |
format | Online Article Text |
id | pubmed-8429088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84290882021-09-14 Evaluation of growth and yield traits in rice genotypes using multivariate analysis Shrestha, Jiban Subedi, Sudeep Singh Kushwaha, Ujjawal Kumar Maharjan, Bidhya Heliyon Research Article Rice (Oryza sativa L.) is the first staple crop in terms of production and area of cultivation in Nepal. The amount of genetic variability is important factor in identifying suitable genotypes in rice breeding programs. This study was conducted in Khumaltar, Lalitpur, Nepal during rainy seasons of 2018 and 2019. Forty rice genotypes were planted in Alpha Lattice Design with two replications to determine the genetic diversity among them. The rice genotypes were grouped into 7 clusters based on growth and yield traits. The traits sucnamely plant height, panicle length, number of tillers/plant and grain yield were found highly significant (p < 0.01). Rice genotypes NR 10676-B-1-3-3-3 produced the highest yield (5.65 t/ha), followed by NR10410-89-3-2-1-1 (5.54 t/ha). The highest distance between cluster centroids (83.51) was found in the cluster 2 (Bange Masino, Hansa raj, Indrabeli, NR 11178-B-B-6-1, NR 11368-B-B-17, Pokhreli Jethobudho, Pokhreli Masino), and cluster 4 (IR73008-136-2-2-3, IR74052-95-3-2) indicating genetic dissimilarity among the genotypes which can be utilized in a hybrid breeding programme. Genotypes of cluster 2 had the highest grain yield (4.97 t/ha). The results of this study suggest that genotypes grouped in cluster 2 can be grown for higher grain production in mid-hills of Nepal. Elsevier 2021-09-06 /pmc/articles/PMC8429088/ /pubmed/34527828 http://dx.doi.org/10.1016/j.heliyon.2021.e07940 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Shrestha, Jiban Subedi, Sudeep Singh Kushwaha, Ujjawal Kumar Maharjan, Bidhya Evaluation of growth and yield traits in rice genotypes using multivariate analysis |
title | Evaluation of growth and yield traits in rice genotypes using multivariate analysis |
title_full | Evaluation of growth and yield traits in rice genotypes using multivariate analysis |
title_fullStr | Evaluation of growth and yield traits in rice genotypes using multivariate analysis |
title_full_unstemmed | Evaluation of growth and yield traits in rice genotypes using multivariate analysis |
title_short | Evaluation of growth and yield traits in rice genotypes using multivariate analysis |
title_sort | evaluation of growth and yield traits in rice genotypes using multivariate analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429088/ https://www.ncbi.nlm.nih.gov/pubmed/34527828 http://dx.doi.org/10.1016/j.heliyon.2021.e07940 |
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