Zali Hassan, Barati Ali, Pour-Aboughadareh Alireza, Gholipour Ahmad, Koohkan Shirali, Marzoghiyan Akbar, Bocianowski Jan, Bujak Henryk, Nowosad Kamila
Crop 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, Iran.
Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj P.O. Box 31587-77871, Iran.
Plants (Basel). 2023 Apr 29;12(9):1843. doi: 10.3390/plants12091843.
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.
本研究的主要目的是使用新提出的选择指数（SIIG），基于籽粒产量和一些表型形态性状评估并选择优良大麦基因型。为此，在2020 - 2021种植季期间，108个纯系品种和4个地方品种（诺鲁兹、生长素、诺巴赫和WB - 97 - 11）在伊朗的四个温暖地区（包括阿瓦士、达拉布、扎博勒和贡巴德）被评估为参考基因型。REML分析结果表明，除株高外，所有性状在贡巴德的遗传力均高于其他环境，而在阿瓦士和扎博勒环境中估计的遗传力值最低。此外，在所测性状中，千粒重和灌浆期的遗传力分别显示出最高值（0.83）和最低值（0.01）。结果表明，基因型1、108、3、86、5、87、19、16、15、56和18的种子产量高于四个参考基因型，另一方面，这些基因型的SIIG指数大于或等于0.60。基于SIIG鉴别指数，分别确定了4个、8个、31个和28个值大于或等于0.60的基因型在达拉布、阿瓦士、扎博勒和贡巴德环境中表现优良。总之，我们的结果表明，SIIG指数具有识别高产和优良性状基因型的理想潜力。因此，在任何作物的任何育种计划的早期阶段使用该指数，都有助于筛选出更好的基因型。
