Screening Iranian endemic coriander genebank germplasm for drought tolerance using a new multivariate statistical method
Drought is one of the serious abiotic factors influencing crop production such as coriander. Development of tolerant genotypes is prevented by the lack of effective selection criterion. Objectives of this study were evaluation of coriander accessions for water deficit stress and introduce a new mult...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024048205 |
| _version_ | 1797226635666128896 |
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| author | Mostafa Khodadadi Mehrdad Hanifei Behzad Sorkhilalehloo Shaghayegh Mehravi Jahangir Abbasi Kohpalekani Amir gholizadeh Mani Marefatzadeh-Khameneh |
| author_facet | Mostafa Khodadadi Mehrdad Hanifei Behzad Sorkhilalehloo Shaghayegh Mehravi Jahangir Abbasi Kohpalekani Amir gholizadeh Mani Marefatzadeh-Khameneh |
| author_sort | Mostafa Khodadadi |
| collection | DOAJ |
| description | Drought is one of the serious abiotic factors influencing crop production such as coriander. Development of tolerant genotypes is prevented by the lack of effective selection criterion. Objectives of this study were evaluation of coriander accessions for water deficit stress and introduce a new multivariate method to select drought tolerant genotypes. For investigation of 19 traits, 16 Iranian endemic coriander genotypes were grown in a glasshouse under control and water deficit stress conditions. Shoot dry weight (SDW), fruit weight per plant (FWPP), fruit number per plant (FNPP) and umbel number per plant (UNPP) were decreased (Susceptibility Index>38%) under water deficit stress condition compared with the control condition. While the mean values of root dry weight (RDW) and root to shoot ratio (RTSR) were increased 1.49% and 97.33% under water stress condition, respectively. Because of high inheritance, high expected genetic gain, high genotypic correlation with together, well response to drought stress and high explanation of FWPP variation in regression model, the FWPP, branch number per plant (BNPP), FNPP and SPAD chlorophyll content in grain filing stage (SCCIGFS) traits were selected to screen coriander genotypes for drought tolerance in coriander. The principal component analysis mediated method (PCAMM) indicated as comprehensive criterion to screen drought tolerant genotypes. This method was highly heritabl, able to separate the Fernandez described A, B, C and D groups, no multicollinear and using multiple drought tolerance related traits. The PCAMM results showed that G13, G16, G2 and G12 genotypes belonged to Fernandez described A, B, C and D groups, respectively. |
| first_indexed | 2024-04-24T14:28:03Z |
| format | Article |
| id | doaj.art-8695010df1dc4ca29f19e35d73b46057 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T14:28:03Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-8695010df1dc4ca29f19e35d73b460572024-04-03T04:27:02ZengElsevierHeliyon2405-84402024-04-01107e28789Screening Iranian endemic coriander genebank germplasm for drought tolerance using a new multivariate statistical methodMostafa Khodadadi0Mehrdad Hanifei1Behzad Sorkhilalehloo2Shaghayegh Mehravi3Jahangir Abbasi Kohpalekani4Amir gholizadeh5Mani Marefatzadeh-Khameneh6Seed and Plant Improvement Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran; Corresponding author.Department of Plant Genetics and Breeding, Faculty of Agriculture, Tarbiat Modares University, Tehran, 14115-336, IranSeed and Plant Improvement Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, IranSchool of Biological Sciences, University of Western Australia, Perth, WA, 6009, AustraliaSeed and Plant Improvement Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, IranCrop and Horticultural Science Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gorgan, IranSeed and Plant Improvement Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, IranDrought is one of the serious abiotic factors influencing crop production such as coriander. Development of tolerant genotypes is prevented by the lack of effective selection criterion. Objectives of this study were evaluation of coriander accessions for water deficit stress and introduce a new multivariate method to select drought tolerant genotypes. For investigation of 19 traits, 16 Iranian endemic coriander genotypes were grown in a glasshouse under control and water deficit stress conditions. Shoot dry weight (SDW), fruit weight per plant (FWPP), fruit number per plant (FNPP) and umbel number per plant (UNPP) were decreased (Susceptibility Index>38%) under water deficit stress condition compared with the control condition. While the mean values of root dry weight (RDW) and root to shoot ratio (RTSR) were increased 1.49% and 97.33% under water stress condition, respectively. Because of high inheritance, high expected genetic gain, high genotypic correlation with together, well response to drought stress and high explanation of FWPP variation in regression model, the FWPP, branch number per plant (BNPP), FNPP and SPAD chlorophyll content in grain filing stage (SCCIGFS) traits were selected to screen coriander genotypes for drought tolerance in coriander. The principal component analysis mediated method (PCAMM) indicated as comprehensive criterion to screen drought tolerant genotypes. This method was highly heritabl, able to separate the Fernandez described A, B, C and D groups, no multicollinear and using multiple drought tolerance related traits. The PCAMM results showed that G13, G16, G2 and G12 genotypes belonged to Fernandez described A, B, C and D groups, respectively.http://www.sciencedirect.com/science/article/pii/S2405844024048205Drought indicesHeritabilityPrincipal component analysisReML estimation |
| spellingShingle | Mostafa Khodadadi Mehrdad Hanifei Behzad Sorkhilalehloo Shaghayegh Mehravi Jahangir Abbasi Kohpalekani Amir gholizadeh Mani Marefatzadeh-Khameneh Screening Iranian endemic coriander genebank germplasm for drought tolerance using a new multivariate statistical method Heliyon Drought indices Heritability Principal component analysis ReML estimation |
| title | Screening Iranian endemic coriander genebank germplasm for drought tolerance using a new multivariate statistical method |
| title_full | Screening Iranian endemic coriander genebank germplasm for drought tolerance using a new multivariate statistical method |
| title_fullStr | Screening Iranian endemic coriander genebank germplasm for drought tolerance using a new multivariate statistical method |
| title_full_unstemmed | Screening Iranian endemic coriander genebank germplasm for drought tolerance using a new multivariate statistical method |
| title_short | Screening Iranian endemic coriander genebank germplasm for drought tolerance using a new multivariate statistical method |
| title_sort | screening iranian endemic coriander genebank germplasm for drought tolerance using a new multivariate statistical method |
| topic | Drought indices Heritability Principal component analysis ReML estimation |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024048205 |
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