Identification of High-Yielding Genotypes of Barley in the Warm Regions of Iran
One of the most important effects of climatic changes is increasing temperatures and expanding water deficit stress in tropical and subtropical regions. As the fourth most important cereal crop, barley (<i>Hordeum vulgare</i> L.) is crucial for food and feed security, as well as for a su...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
|
| Series: | Plants |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2223-7747/12/22/3837 |
| _version_ | 1797457959901462528 |
|---|---|
| author | Alireza Pour-Aboughadareh Shirali Koohkan Hassan Zali Akbar Marzooghian Ahmad Gholipour Masoome Kheirgo Ali Barati Jan Bocianowski Alireza Askari-Kelestani |
| author_facet | Alireza Pour-Aboughadareh Shirali Koohkan Hassan Zali Akbar Marzooghian Ahmad Gholipour Masoome Kheirgo Ali Barati Jan Bocianowski Alireza Askari-Kelestani |
| author_sort | Alireza Pour-Aboughadareh |
| collection | DOAJ |
| description | One of the most important effects of climatic changes is increasing temperatures and expanding water deficit stress in tropical and subtropical regions. As the fourth most important cereal crop, barley (<i>Hordeum vulgare</i> L.) is crucial for food and feed security, as well as for a sustainable agricultural system. The present study investigates 56 promising barley genotypes, along with four local varieties (Norooz, Oxin, Golchin, and Negin) in four locations to identify high-yielding and adapted genotypes in the warm climate of Iran. Genotypes were tested in an alpha lattice design with six blocks, which were repeated three times. Traits measured were the number of days to heading and maturity, plant height, thousand kernels weight, and grain yield. A combined analysis of variance showed the significant effects of genotypes (G), environments (E), and their interaction (GEI) on all measured traits. Application of the additive main-effect and multiplicative interaction (AMMI) model to the grain yield data showed that GEI was divided into three significant components (IPCAs), and each accounted for 50.93%, 30.60%, and 18.47%, respectively. Two selection indices [Smith–Hazel (SH) and multiple trait selection index (MTSI)] identified G18, G24, G29, and G57 as desirable genotypes at the four test locations. Using several BLUP-based indices, such as the harmonic mean of genotypic values (HMGV), the relative performance of genotypic values (RPGV), and the harmonic mean of the relative performance of genotypic values (HMRPGV), genotypes G6, G11, G22, G24, G29, G38, G52, and G57 were identified as superior genotypes. The application of GGE analysis identified G6, G24, G29, G52, and G57 as the high-yielding and most stable genotypes. Considering all statistical models, genotypes G24, G29, and G57 can be used, as they are well-adapted to the test locations in warm regions of Iran. |
| first_indexed | 2024-03-09T16:31:15Z |
| format | Article |
| id | doaj.art-418c45b860f94cceb83b38b51175eff6 |
| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-09T16:31:15Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Plants |
| spelling | doaj.art-418c45b860f94cceb83b38b51175eff62023-11-24T15:01:57ZengMDPI AGPlants2223-77472023-11-011222383710.3390/plants12223837Identification of High-Yielding Genotypes of Barley in the Warm Regions of IranAlireza Pour-Aboughadareh0Shirali Koohkan1Hassan Zali2Akbar Marzooghian3Ahmad Gholipour4Masoome Kheirgo5Ali Barati6Jan Bocianowski7Alireza Askari-Kelestani8Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj P.O. Box 31587-77871, IranCrop and Horticultural Science Research Department, Sistan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Zabol P.O. Box 98616-44534, IranCrop and Horticultural Science Research Department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Darab P.O. Box 71558-63511, IranCrop and Horticultural Science Research Department, Khuzestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Ahvaz P.O. Box 61335-3341, IranCrop and Horticultural Science Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gonbad P.O. Box 49156-77555, IranCrop and Horticultural Science Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gonbad P.O. Box 49156-77555, IranSeed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj P.O. Box 31587-77871, IranDepartment of Mathematical and Statistical Methods, Poznan University of Life Sciences, Wojska Polskiego 28, 60-637 Poznan, PolandCrop and Horticultural Science Research Department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Darab P.O. Box 71558-63511, IranOne of the most important effects of climatic changes is increasing temperatures and expanding water deficit stress in tropical and subtropical regions. As the fourth most important cereal crop, barley (<i>Hordeum vulgare</i> L.) is crucial for food and feed security, as well as for a sustainable agricultural system. The present study investigates 56 promising barley genotypes, along with four local varieties (Norooz, Oxin, Golchin, and Negin) in four locations to identify high-yielding and adapted genotypes in the warm climate of Iran. Genotypes were tested in an alpha lattice design with six blocks, which were repeated three times. Traits measured were the number of days to heading and maturity, plant height, thousand kernels weight, and grain yield. A combined analysis of variance showed the significant effects of genotypes (G), environments (E), and their interaction (GEI) on all measured traits. Application of the additive main-effect and multiplicative interaction (AMMI) model to the grain yield data showed that GEI was divided into three significant components (IPCAs), and each accounted for 50.93%, 30.60%, and 18.47%, respectively. Two selection indices [Smith–Hazel (SH) and multiple trait selection index (MTSI)] identified G18, G24, G29, and G57 as desirable genotypes at the four test locations. Using several BLUP-based indices, such as the harmonic mean of genotypic values (HMGV), the relative performance of genotypic values (RPGV), and the harmonic mean of the relative performance of genotypic values (HMRPGV), genotypes G6, G11, G22, G24, G29, G38, G52, and G57 were identified as superior genotypes. The application of GGE analysis identified G6, G24, G29, G52, and G57 as the high-yielding and most stable genotypes. Considering all statistical models, genotypes G24, G29, and G57 can be used, as they are well-adapted to the test locations in warm regions of Iran.https://www.mdpi.com/2223-7747/12/22/3837multi-trait selection indexBLUP-based indexGGE biplotAMMI analysis |
| spellingShingle | Alireza Pour-Aboughadareh Shirali Koohkan Hassan Zali Akbar Marzooghian Ahmad Gholipour Masoome Kheirgo Ali Barati Jan Bocianowski Alireza Askari-Kelestani Identification of High-Yielding Genotypes of Barley in the Warm Regions of Iran Plants multi-trait selection index BLUP-based index GGE biplot AMMI analysis |
| title | Identification of High-Yielding Genotypes of Barley in the Warm Regions of Iran |
| title_full | Identification of High-Yielding Genotypes of Barley in the Warm Regions of Iran |
| title_fullStr | Identification of High-Yielding Genotypes of Barley in the Warm Regions of Iran |
| title_full_unstemmed | Identification of High-Yielding Genotypes of Barley in the Warm Regions of Iran |
| title_short | Identification of High-Yielding Genotypes of Barley in the Warm Regions of Iran |
| title_sort | identification of high yielding genotypes of barley in the warm regions of iran |
| topic | multi-trait selection index BLUP-based index GGE biplot AMMI analysis |
| url | https://www.mdpi.com/2223-7747/12/22/3837 |
| work_keys_str_mv | AT alirezapouraboughadareh identificationofhighyieldinggenotypesofbarleyinthewarmregionsofiran AT shiralikoohkan identificationofhighyieldinggenotypesofbarleyinthewarmregionsofiran AT hassanzali identificationofhighyieldinggenotypesofbarleyinthewarmregionsofiran AT akbarmarzooghian identificationofhighyieldinggenotypesofbarleyinthewarmregionsofiran AT ahmadgholipour identificationofhighyieldinggenotypesofbarleyinthewarmregionsofiran AT masoomekheirgo identificationofhighyieldinggenotypesofbarleyinthewarmregionsofiran AT alibarati identificationofhighyieldinggenotypesofbarleyinthewarmregionsofiran AT janbocianowski identificationofhighyieldinggenotypesofbarleyinthewarmregionsofiran AT alirezaaskarikelestani identificationofhighyieldinggenotypesofbarleyinthewarmregionsofiran |