vavilovВавиловский журнал генетики и селекцииVavilov Journal of Genetics and Breeding2500-3259Institute of Cytology and Genetics of Siberian Branch of the RAS10.18699/vjgb-26-25vavilov-5034Research ArticleГЕНЕТИКА И СЕЛЕКЦИЯ РАСТЕНИЙPLANT GENETICS AND BREEDINGОтбор стабильных мутантов риса с помощью линейных моделей со смешанными эффектами (LMM) и индексов стабильностиSelecting stable rice mutants with linear mixed models (LMM) and stability indexesШарифиП.SharifiP.

Решт

Rasht

peyman.sharifi@iau.ac.irЭбадиА. А.EbadiA. A.

Решт

Rasht

ХалладжянМ. Т.HallajianM. T.

Тегеран

Tehran

АминпанахХ.AminpanahH.

Решт

Rasht

Департамент агрономии, Исламский университет АзадИранDepartment of Agronomy, Ra. C., Islamic Azad UniversityIslamic Republic of IranИранский исследовательский институт риса, Организация по сельскохозяйственным исследованиям, образованию и распространению знаний (AREEO)ИранRice Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO)Islamic Republic of IranНаучно-исследовательский институт ядерных наук и технологий ИранаИранNuclear Science and Technology Research Institute of IranIslamic Republic of Iran202606042026302222232Copyright © Шарифи П., Эбади А.А., Халладжян М.Т., Аминпанах Х., 20262026Шарифи П., Эбади А.А., Халладжян М.Т., Аминпанах Х.Sharifi P., Ebadi A.A., Hallajian M.T., Aminpanah H.This work is licensed under a Creative Commons Attribution 4.0 License.https://vavilov.elpub.ru/jour/article/view/5034

Мутационные изменения служат основным источником разнообразия в селекции растений. Данное исследование было сосредоточено на выявлении стабильных мутантных линий риса. Четырнадцать мутантных линий и четыре обычных сорта риса были оценены в рандомизированном посеве с тремя повторениями в трех регионах Ирана (Решт, Чапарсар и провинция Фарс) в течение двух вегетационных сезонов 2015 и 2016 гг. Все статистические анализы выполнены с использованием пакета R ‘metan’ (multi-environment trial analysis). Однофакторный ANOVA показал значимые генотипические эффекты для всех признаков. Тесты отношения правдоподобия (LRT) подтвердили значимые эффекты среды и взаимодействия генотип–среда (GEI) для всех признаков. Первые три главные компоненты определяли 68.13, 14.46 и 9.76 % вариаций GEI соответственно. Визуализация тепловой карты для выраженности урожайности и WAASB (взвешенное среднее абсолютных баллов на основе наилучшего линейного несмещенного прогноза, BLUP) позволила выделить генотипы G3, G9, G6, G12 и G5 как высокоурожайные и стабильные. Анализ с помощью индекса мультипризнаковой стабильности (MTSI), разработанный для выявления сильных и слабых сторон генотипов, отобрал только генотипы G7, G5 и G1. С использованием параметра гармонического среднего относительной производительности генотипических значений (HMRPGV) были отмечены пять лучших генотипов – G5, G12, G7, G2 и G1. Высокая выраженность признаков у некоторых мутантов демонстрирует, что мутационные изменения могут эффективно создавать значительное генетическое разнообразие. В частности, генотипы G12, G5 и G9 имели явное преимущество перед другими генотипами и могут быть использованы для последующей селекции или для создания сорта. Однако только генотип G5 был отобран с учетом индекса MTSI на основе всех признаков и, следовательно, может быть использован в дальнейшем селекционном процессе или для создания сорта.

Mutation serves as a pivotal source of diversity in plant breeding. This study focused on identifying stable rice mutant lines. Fourteen rice mutant lines, along with four conventional cultivars, were evaluated in a randomized complete block design with three replicates across three Iranian locations (Rasht, ChaparSar, and Fars province) during two growing seasons (2015, 2016). All statistical analyses were performed using the ‘metan’ (multi-environment trial analysis) R package. Single-environment ANOVA indicated significant genotypic effects for all traits. Likelihood ratio tests (LRTs) confirmed significant environment and genotype-by-environment interaction (GEI) effects for all traits. The first three principal components (PCs) captured 68.13, 14.46, and 9.76 % of the GEI variation, respectively. Heatmap visualization of yield performance and WAASB (weighted average of absolute scores based on best linear unbiased prediction, BLUP) highlighted genotypes G3, G9, G6, G12, and G5 as both high-yielding and stable. Multi-trait stability index (MTSI) analysis, designed to reveal genotypic strengths and weaknesses, selected only genotypes G7, G5, and G1. The top five genotypes based on the harmonic mean of the relative performance of genotypic values (HMRPGV) were G5, G12, G7, G2, and G1. The superior performance of certain mutants demonstrates that mutation has effectively generated significant genetic diversity. Notably, genotypes G12, G5, and G9 exhibited a clear advantage over the other genotypes and warrant consideration for selection or cultivar release; however, only G5 was selected based on all traits in the MTSI index and could therefore undergo selection or cultivar introduction processes.

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The authors declare that there are no conflicts of interest present.