Multivariate analysis for adaptability and yield stability of rapeseed (Brassica napus L.) strains in different agro-climatic zones

Plant breeders always look for high yielding genotypes based on both genotype and G × E (interaction of genotype with environment) for stability and adaptability in diversified environmental conditions. This present study consists of eight Brassica napus L. strains using RCBD design with th...

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Main Authors: Bibi Tahira, Mustafa Hafiz Saad Bin, Mahmood Tariq, Hameed Amir, Ali Qurban
Format: Article
Language:English
Published: Serbian Genetics Society 2018-01-01
Series:Genetika
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/0534-0012/2018/0534-00121802369B.pdf
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spelling doaj-b3bd50c7c4804493bc1cf7a59a87151f2020-11-24T23:54:09ZengSerbian Genetics SocietyGenetika0534-00121820-60692018-01-0150236937810.2298/GENSR1802369B0534-00121802369BMultivariate analysis for adaptability and yield stability of rapeseed (Brassica napus L.) strains in different agro-climatic zonesBibi Tahira0Mustafa Hafiz Saad Bin1Mahmood Tariq2Hameed Amir3Ali Qurban4Directorate of Oilseeds, Ayub Agricultural Research Institute, Faisalabad, PakistanDirectorate of Oilseeds, Ayub Agricultural Research Institute, Faisalabad, PakistanDirectorate of Oilseeds, Ayub Agricultural Research Institute, Faisalabad, PakistanStatistical Section, Ayub Agricultural Research Institute, Faisalabad, PakistanCenter of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan + Institute of Molecular Biology and Biotechnology, University of Lahore, Lahore, PakistanPlant breeders always look for high yielding genotypes based on both genotype and G × E (interaction of genotype with environment) for stability and adaptability in diversified environmental conditions. This present study consists of eight Brassica napus L. strains using RCBD design with three replications and conducted at eight locations in Punjab province, Pakistan to determine general and specific adaptability in 2014-2015. Additive main effects and multiplicative interactions (AMMI) study showed that the environments (86.65%) have more influence to treatment sum of squares as compare to the interaction of genotype with environment (9.4%) and genotypes (2.65%) respectively, indicating the presence of adequate genetic variation for useful selection to identify stable genotypes. G x E interaction was further partitioned by principal component analysis (PCA). The first four multiplicative axis terms (IPCA1, IPCA2, IPCA3 and IPCA4) give detailed 54.0%, 28.0%, 9.9% and 5.6% of GEI sum of squares (SS), respectively. The AMMI method was used to recognize suitable genotype / genotypes to specific locations / environments. The results showed that genotypes RBN-08004, RBN-04021 and 11-CBN 006 were more stable with the lowest interaction and have general adaptability with yield near about their mean yield. Genotype RBN-08004 has more than average yield, IPCA value closer to zero (1.8), genotype selection index (GSI) is 4 and least AMMI stability value (ASV) of 3.6 therefore considered the most stable. According to AMMI analysis, KN-253, KN-256 and RBN-08004 (adaptive group 1) exhibited specific adaptability for Bhakar and Khanpur with yield greater than mean and positive interaction. Genotype RBN-04047 (adaptive group 2) which has yield lesser than mean yield and positive interaction showed specific adaptability for Chakwal and Karore. It was observed that stability evaluation through AMMI analysis may be used for selection of genotypes from experiments performed under different environmental conditions.http://www.doiserbia.nb.rs/img/doi/0534-0012/2018/0534-00121802369B.pdfAMMIbrassicaGE interactionstability analysisseed yield
collection DOAJ
language English
format Article
sources DOAJ
author Bibi Tahira
Mustafa Hafiz Saad Bin
Mahmood Tariq
Hameed Amir
Ali Qurban
spellingShingle Bibi Tahira
Mustafa Hafiz Saad Bin
Mahmood Tariq
Hameed Amir
Ali Qurban
Multivariate analysis for adaptability and yield stability of rapeseed (Brassica napus L.) strains in different agro-climatic zones
Genetika
AMMI
brassica
GE interaction
stability analysis
seed yield
author_facet Bibi Tahira
Mustafa Hafiz Saad Bin
Mahmood Tariq
Hameed Amir
Ali Qurban
author_sort Bibi Tahira
title Multivariate analysis for adaptability and yield stability of rapeseed (Brassica napus L.) strains in different agro-climatic zones
title_short Multivariate analysis for adaptability and yield stability of rapeseed (Brassica napus L.) strains in different agro-climatic zones
title_full Multivariate analysis for adaptability and yield stability of rapeseed (Brassica napus L.) strains in different agro-climatic zones
title_fullStr Multivariate analysis for adaptability and yield stability of rapeseed (Brassica napus L.) strains in different agro-climatic zones
title_full_unstemmed Multivariate analysis for adaptability and yield stability of rapeseed (Brassica napus L.) strains in different agro-climatic zones
title_sort multivariate analysis for adaptability and yield stability of rapeseed (brassica napus l.) strains in different agro-climatic zones
publisher Serbian Genetics Society
series Genetika
issn 0534-0012
1820-6069
publishDate 2018-01-01
description Plant breeders always look for high yielding genotypes based on both genotype and G × E (interaction of genotype with environment) for stability and adaptability in diversified environmental conditions. This present study consists of eight Brassica napus L. strains using RCBD design with three replications and conducted at eight locations in Punjab province, Pakistan to determine general and specific adaptability in 2014-2015. Additive main effects and multiplicative interactions (AMMI) study showed that the environments (86.65%) have more influence to treatment sum of squares as compare to the interaction of genotype with environment (9.4%) and genotypes (2.65%) respectively, indicating the presence of adequate genetic variation for useful selection to identify stable genotypes. G x E interaction was further partitioned by principal component analysis (PCA). The first four multiplicative axis terms (IPCA1, IPCA2, IPCA3 and IPCA4) give detailed 54.0%, 28.0%, 9.9% and 5.6% of GEI sum of squares (SS), respectively. The AMMI method was used to recognize suitable genotype / genotypes to specific locations / environments. The results showed that genotypes RBN-08004, RBN-04021 and 11-CBN 006 were more stable with the lowest interaction and have general adaptability with yield near about their mean yield. Genotype RBN-08004 has more than average yield, IPCA value closer to zero (1.8), genotype selection index (GSI) is 4 and least AMMI stability value (ASV) of 3.6 therefore considered the most stable. According to AMMI analysis, KN-253, KN-256 and RBN-08004 (adaptive group 1) exhibited specific adaptability for Bhakar and Khanpur with yield greater than mean and positive interaction. Genotype RBN-04047 (adaptive group 2) which has yield lesser than mean yield and positive interaction showed specific adaptability for Chakwal and Karore. It was observed that stability evaluation through AMMI analysis may be used for selection of genotypes from experiments performed under different environmental conditions.
topic AMMI
brassica
GE interaction
stability analysis
seed yield
url http://www.doiserbia.nb.rs/img/doi/0534-0012/2018/0534-00121802369B.pdf
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