Study of genetic diversity in sunflower promising inbred lines using morphological traits

One of the most important factors in breeding programs advancement is the evaluation and quantification of genetic diversity in breeding population. In the preparation of pre-breeding population and hybrid production, selection of convenient parents that are efficiently distant, is so important. In...

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Main Authors: Avin, F.A., Nabipour, A., Zali, A.
Format: Conference or Workshop Item
Language:English
Published: 2008
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Online Access:http://eprints.um.edu.my/8504/1/ICSC2008%2C_1st_and_abstract_page.pdf
http://eprints.um.edu.my/8504/
http://www.dbpia.co.kr/Journal/ArticleDetail/972573?Collection=1&Id=972573&Page=0&Sort=1&pagesize=0
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Institution: Universiti Malaya
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spelling my.um.eprints.85042013-10-21T01:52:45Z http://eprints.um.edu.my/8504/ Study of genetic diversity in sunflower promising inbred lines using morphological traits Avin, F.A. Nabipour, A. Zali, A. QH426 Genetics S Agriculture (General) One of the most important factors in breeding programs advancement is the evaluation and quantification of genetic diversity in breeding population. In the preparation of pre-breeding population and hybrid production, selection of convenient parents that are efficiently distant, is so important. In order to precise description for the sunflower genetic stocks of the Oilseed Department (Seed and Plant Improvement Institute, Karaj, Iran), morphological traits and oil percentage of 49 promising inbred lines including 18 R-lines and 31 B-lines were studied using sunflower descriptor. These lines were planted based on a simple Lattice (7 x 7) design with 2 checks in 2005. Results of ANOVA revealed significant differences between the lines for almost all traits. Relationships between quantitative and quantitative traits, qualitative and quantitative traits and qualitative and qualitative traits were calculated, using correlation analysis, ANOVA and chi square method, respectively. Results showed that there is a negative correlation between oil percentage and 100 seed weight. Classification of lines based on cluster analysis grouped the lines in to two distinct male and female groups. Factor analysis, extracted 4 factors that altogether comprised 73.92% of total variation in data. Biplot analysis based on the first two principle components clearly separated male and female lines. According to these findings Heterotic plausible groups were suggested for future crosses and hybrid assessment. 2008 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/8504/1/ICSC2008%2C_1st_and_abstract_page.pdf Avin, F.A. and Nabipour, A. and Zali, A. (2008) Study of genetic diversity in sunflower promising inbred lines using morphological traits. In: 5th International Crop Science Congress & Exhibition, 13-18 April 2008, Jeju, Korea. http://www.dbpia.co.kr/Journal/ArticleDetail/972573?Collection=1&Id=972573&Page=0&Sort=1&pagesize=0
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic QH426 Genetics
S Agriculture (General)
spellingShingle QH426 Genetics
S Agriculture (General)
Avin, F.A.
Nabipour, A.
Zali, A.
Study of genetic diversity in sunflower promising inbred lines using morphological traits
description One of the most important factors in breeding programs advancement is the evaluation and quantification of genetic diversity in breeding population. In the preparation of pre-breeding population and hybrid production, selection of convenient parents that are efficiently distant, is so important. In order to precise description for the sunflower genetic stocks of the Oilseed Department (Seed and Plant Improvement Institute, Karaj, Iran), morphological traits and oil percentage of 49 promising inbred lines including 18 R-lines and 31 B-lines were studied using sunflower descriptor. These lines were planted based on a simple Lattice (7 x 7) design with 2 checks in 2005. Results of ANOVA revealed significant differences between the lines for almost all traits. Relationships between quantitative and quantitative traits, qualitative and quantitative traits and qualitative and qualitative traits were calculated, using correlation analysis, ANOVA and chi square method, respectively. Results showed that there is a negative correlation between oil percentage and 100 seed weight. Classification of lines based on cluster analysis grouped the lines in to two distinct male and female groups. Factor analysis, extracted 4 factors that altogether comprised 73.92% of total variation in data. Biplot analysis based on the first two principle components clearly separated male and female lines. According to these findings Heterotic plausible groups were suggested for future crosses and hybrid assessment.
format Conference or Workshop Item
author Avin, F.A.
Nabipour, A.
Zali, A.
author_facet Avin, F.A.
Nabipour, A.
Zali, A.
author_sort Avin, F.A.
title Study of genetic diversity in sunflower promising inbred lines using morphological traits
title_short Study of genetic diversity in sunflower promising inbred lines using morphological traits
title_full Study of genetic diversity in sunflower promising inbred lines using morphological traits
title_fullStr Study of genetic diversity in sunflower promising inbred lines using morphological traits
title_full_unstemmed Study of genetic diversity in sunflower promising inbred lines using morphological traits
title_sort study of genetic diversity in sunflower promising inbred lines using morphological traits
publishDate 2008
url http://eprints.um.edu.my/8504/1/ICSC2008%2C_1st_and_abstract_page.pdf
http://eprints.um.edu.my/8504/
http://www.dbpia.co.kr/Journal/ArticleDetail/972573?Collection=1&Id=972573&Page=0&Sort=1&pagesize=0
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