Identification of Superior Barley Genotypes Using Selection Index of Ideal Genotype (SIIG)
The main objective of the study was to evaluate and select the superior barley genotypes based on grain yield and some pheno-morphological traits using a new proposed selection index (SIIG). For this purpose, one-hundred-eight pure and four local cultivars (Norouz, Auxin, Nobahar, and WB-97-11) were...
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MDPI AG
2023-04-01
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| Series: | Plants |
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| author | Hassan Zali Ali Barati Alireza Pour-Aboughadareh Ahmad Gholipour Shirali Koohkan Akbar Marzoghiyan Jan Bocianowski Henryk Bujak Kamila Nowosad |
| author_facet | Hassan Zali Ali Barati Alireza Pour-Aboughadareh Ahmad Gholipour Shirali Koohkan Akbar Marzoghiyan Jan Bocianowski Henryk Bujak Kamila Nowosad |
| author_sort | Hassan Zali |
| collection | DOAJ |
| description | The main objective of the study was to evaluate and select the superior barley genotypes based on grain yield and some pheno-morphological traits using a new proposed selection index (SIIG). For this purpose, one-hundred-eight pure and four local cultivars (Norouz, Auxin, Nobahar, and WB-97-11) were evaluated as reference genotypes in four warm regions of Iran, including Ahvaz, Darab, Zabol, and Gonbad, during the 2020–2021 cropping seasons. The results of REML analysis showed that the heritability of all traits (except plant height) was higher in Gonbad than in other environments, while the lowest values were estimated in Ahvaz and Zabol environments. In addition, among the measured traits, the thousand kernel weight and grain filling period showed the highest and lowest values of heritability (0.83 and 0.01, respectively). The results showed that the seed yield of genotypes 1, 108, 3, 86, 5, 87, 19, 16, 15, 56, and 18 was higher than the four reference genotypes, and, on the other hand, the SIIG index of these genotypes was greater than or equal to 0.60. Based on the SIIG discriminator index, 4, 8, 31, and 28 genotypes with values greater than or equal to 0.60 were identified as superior for Darab, Ahvaz, Zabol, and Gonbad environments, respectively. As a conclusion, our results revealed that the SIIG index has ideal potential to identify genotypes with high yield and desirable traits. Therefore, the use of this index can be beneficial in screening better genotypes in the early stages of any breeding program for any crop. |
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| language | English |
| last_indexed | 2024-03-11T04:10:11Z |
| publishDate | 2023-04-01 |
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| series | Plants |
| spelling | doaj.art-8cb11fb2e99d4ac1a35df339d972f0082023-11-17T23:32:29ZengMDPI AGPlants2223-77472023-04-01129184310.3390/plants12091843Identification of Superior Barley Genotypes Using Selection Index of Ideal Genotype (SIIG)Hassan Zali0Ali Barati1Alireza Pour-Aboughadareh2Ahmad Gholipour3Shirali Koohkan4Akbar Marzoghiyan5Jan Bocianowski6Henryk Bujak7Kamila Nowosad8Crop 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, IranSeed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj P.O. Box 31587-77871, IranSeed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj P.O. Box 31587-77871, 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, 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, Khuzestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Ahvaz P.O. Box 61335-3341, IranDepartment of Mathematical and Statistical Methods, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań, PolandDepartment of Genetics, Plant Breeding and Seed Production, Wrocław University of Environmental and Life Sciences, Grunwaldzki 24A, 53-363 Wrocław, PolandDepartment of Genetics, Plant Breeding and Seed Production, Wrocław University of Environmental and Life Sciences, Grunwaldzki 24A, 53-363 Wrocław, PolandThe main objective of the study was to evaluate and select the superior barley genotypes based on grain yield and some pheno-morphological traits using a new proposed selection index (SIIG). For this purpose, one-hundred-eight pure and four local cultivars (Norouz, Auxin, Nobahar, and WB-97-11) were evaluated as reference genotypes in four warm regions of Iran, including Ahvaz, Darab, Zabol, and Gonbad, during the 2020–2021 cropping seasons. The results of REML analysis showed that the heritability of all traits (except plant height) was higher in Gonbad than in other environments, while the lowest values were estimated in Ahvaz and Zabol environments. In addition, among the measured traits, the thousand kernel weight and grain filling period showed the highest and lowest values of heritability (0.83 and 0.01, respectively). The results showed that the seed yield of genotypes 1, 108, 3, 86, 5, 87, 19, 16, 15, 56, and 18 was higher than the four reference genotypes, and, on the other hand, the SIIG index of these genotypes was greater than or equal to 0.60. Based on the SIIG discriminator index, 4, 8, 31, and 28 genotypes with values greater than or equal to 0.60 were identified as superior for Darab, Ahvaz, Zabol, and Gonbad environments, respectively. As a conclusion, our results revealed that the SIIG index has ideal potential to identify genotypes with high yield and desirable traits. Therefore, the use of this index can be beneficial in screening better genotypes in the early stages of any breeding program for any crop.https://www.mdpi.com/2223-7747/12/9/1843heritabilitymulti-traitREMLselection indexsuperior genotypes |
| spellingShingle | Hassan Zali Ali Barati Alireza Pour-Aboughadareh Ahmad Gholipour Shirali Koohkan Akbar Marzoghiyan Jan Bocianowski Henryk Bujak Kamila Nowosad Identification of Superior Barley Genotypes Using Selection Index of Ideal Genotype (SIIG) Plants heritability multi-trait REML selection index superior genotypes |
| title | Identification of Superior Barley Genotypes Using Selection Index of Ideal Genotype (SIIG) |
| title_full | Identification of Superior Barley Genotypes Using Selection Index of Ideal Genotype (SIIG) |
| title_fullStr | Identification of Superior Barley Genotypes Using Selection Index of Ideal Genotype (SIIG) |
| title_full_unstemmed | Identification of Superior Barley Genotypes Using Selection Index of Ideal Genotype (SIIG) |
| title_short | Identification of Superior Barley Genotypes Using Selection Index of Ideal Genotype (SIIG) |
| title_sort | identification of superior barley genotypes using selection index of ideal genotype siig |
| topic | heritability multi-trait REML selection index superior genotypes |
| url | https://www.mdpi.com/2223-7747/12/9/1843 |
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