Pour-Aboughadareh Alireza, Ghazvini Habibollah, Jasemi Seyed Shahriyar, Mohammadi Solaiman, Razavi Sayed Alireza, Chaichi Mehrdad, Ghasemi Kalkhoran Marefat, Monirifar Hassan, Tajali Hamid, Fathihafshjani Asadollah, Bocianowski Jan
Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj P.O. Box 31587-77871, Iran.
Field and Horticultural Crops Research Department, Agricultural and Natural Resources Research and Education Center of West-Azarbayjan Province, Agricultural Research, Education and Extension Organization, Urmia P.O. Box 57169-63963, Iran.
Plants (Basel). 2023 Jun 22;12(13):2410. doi: 10.3390/plants12132410.
The interaction between genotypes and environments plays an important role in selecting superior genotypes for target locations. The main objectives of the present study were to analyze the effect of the genotype-by-environment interaction (GEI) and identify superior, newly developed, and promising barley genotypes for cold regions in Iran. For these purposes, a set of genotypes obtained from breeding programs for cold climates in Iran, along with two reference genotypes, were investigated at eight research stations (Tabriz, Ardabil, Arak, Miandoab, Mashhad, Jolge Rokh, Karaj, and Hamadan) during two consecutive growing seasons (2019-2020 and 2020-2021). The results of the freezing test (LT) showed that most of the tested genotypes had significant cold tolerance at the seedling stage. Based on the additive main effect and multiplicative interaction (AMMI) analysis, environment (E) and GEI effects explained 49.44% and 16.55% of the total variation in grain yield, respectively. Using AMMI1 and AMMI2 models, G2 and G20 were found to be superior genotypes in terms of grain yield and stability. Moreover, AMMI-based stability parameters considered the G20 genotype to be the ideal genotype. A two-plot analysis of the genotype-by-environment interaction (GGE) biplot showed that the 16 experimental environments were grouped into 2 mega-environments. Of the test environments, ARK1 and KAJ2 had the highest discriminating power and representativeness ability, and these were identified as ideal environments for testing advanced genotypes for yield and stability performance during early barley breeding practices in cold areas in Iran. In conclusion, both AMMI and GGE biplot models identified several superior genotypes, among which G20, with a high average yield relative to the overall average yield and the lowest IPC1 score, was found to have high yield stability and is recommended for inclusion in breeding programs for cold climates in Iran.
基因型与环境之间的相互作用在为目标地点选择优良基因型方面起着重要作用。本研究的主要目的是分析基因型与环境互作(GEI)的影响,并鉴定出伊朗寒冷地区优良、新培育且有潜力的大麦基因型。为此,在两个连续生长季节(2019 - 2020年和2020 - 2021年)期间,在八个研究站(大不里士、阿尔达比勒、阿拉克、米扬多阿卜、马什哈德、乔勒格罗赫、卡拉季和哈马丹)对一组从伊朗寒冷气候育种计划中获得的基因型以及两个对照基因型进行了研究。冻害试验(LT)结果表明,大多数测试基因型在苗期具有显著的耐寒性。基于加性主效应和乘积互作(AMMI)分析,环境(E)和GEI效应分别解释了籽粒产量总变异的49.44%和16.55%。使用AMMI1和AMMI2模型,发现G2和G20在籽粒产量和稳定性方面是优良基因型。此外,基于AMMI的稳定性参数认为G20基因型是理想基因型。基因型与环境互作(GGE)双标图的双区分析表明,16个试验环境被分为2个大环境。在测试环境中,ARK1和KAJ2具有最高的鉴别力和代表性能力,这些被确定为在伊朗寒冷地区大麦早期育种实践中测试先进基因型产量和稳定性表现的理想环境。总之,AMMI和GGE双标图模型都鉴定出了几个优良基因型,其中G20相对于总体平均产量具有较高的平均产量且IPC1得分最低,具有较高的产量稳定性,建议纳入伊朗寒冷气候的育种计划。