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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181048/ https://www.ncbi.nlm.nih.gov/pubmed/37176901 http://dx.doi.org/10.3390/plants12091843 |
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author | Zali, Hassan Barati, Ali Pour-Aboughadareh, Alireza Gholipour, Ahmad Koohkan, Shirali Marzoghiyan, Akbar Bocianowski, Jan Bujak, Henryk Nowosad, Kamila |
author_facet | Zali, Hassan Barati, Ali Pour-Aboughadareh, Alireza Gholipour, Ahmad Koohkan, Shirali Marzoghiyan, Akbar Bocianowski, Jan Bujak, Henryk Nowosad, Kamila |
author_sort | Zali, Hassan |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-10181048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101810482023-05-13 Identification of Superior Barley Genotypes Using Selection Index of Ideal Genotype (SIIG) Zali, Hassan Barati, Ali Pour-Aboughadareh, Alireza Gholipour, Ahmad Koohkan, Shirali Marzoghiyan, Akbar Bocianowski, Jan Bujak, Henryk Nowosad, Kamila Plants (Basel) Article 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. MDPI 2023-04-29 /pmc/articles/PMC10181048/ /pubmed/37176901 http://dx.doi.org/10.3390/plants12091843 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zali, Hassan Barati, Ali Pour-Aboughadareh, Alireza Gholipour, Ahmad Koohkan, Shirali Marzoghiyan, Akbar Bocianowski, Jan Bujak, Henryk Nowosad, Kamila Identification of Superior Barley Genotypes Using Selection Index of Ideal Genotype (SIIG) |
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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181048/ https://www.ncbi.nlm.nih.gov/pubmed/37176901 http://dx.doi.org/10.3390/plants12091843 |
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