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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...

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Autores principales: Shrestha, Jiban, Subedi, Sudeep, Singh Kushwaha, Ujjawal Kumar, Maharjan, Bidhya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
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.
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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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AT maharjanbidhya evaluationofgrowthandyieldtraitsinricegenotypesusingmultivariateanalysis