ارزیابی اثر متقابل ژنوتیپ × محیط عملکرد و محتوی روغن ژنوتیپ‌های گلرنگ دیم از طریق روش رگرسیون و GGE بای‌پلات

نوع مقاله : مقاله پژوهشی

نویسندگان

1 عضو هیأت علمی از مؤسسه تحقیقات کشاورزی دیم کشور (معاونت سرارود)، سازمان تحقیقات، آموزش و ترویج کشاورزی

2 عضو هیأت علمی از مؤسسه تحقیقات کشاورزی دیم کشور (معاونت سرارود)، سازمان تحقیقات، آموزش و ترویج کشاورزی،

چکیده

به‌منظور تجزیه اثرات متقابل ژنوتیپ × محیط برای صفات عملکرد و مقدار روغن دانه گلرنگ، آزمایش چندمحیطی با 15 ژنوتیپ (شامل 8 لاین اصلاحی، 6 رقم و یک شاهد) برای سه زمان کشت (پاییزه، انتظاری و بهاره) در چهار ایستگاه تحقیقات کشاورزی دیم شامل کرمانشاه، مراغه، کردستان و زنجان (در مجموع 21 محیط) طی سال‌های‌ زراعی 92-1390 انجام شد.از دو مدل رگرسیونی-عملکرد و نمودار دوبعدی (ژنوتیپ + ژنوتیپ×محیط) استفاده شد. نتایج تجزیه واریانس مرکب نشان داد که عامل‌های ژنوتیپ، محیط و اثر متقابل آنها برای دو صفت در سطح 1% معنی‌دار است. سهم ژنوتیپ، محیط و اثر متقابل آنها برای عملکرد به‌ترتیب 5، 62 و 24 و مقدار روغن 25، 45 و 22 درصد از تغییرات کل بود. با تجزیه رگرسیونی اختلاف معنی‌داری بین اجزای رگرسیون دو صفت مشاهده شد. بیشترین شاخص رگرسیون-عملکرد به ژنوتیپ‌های G5، G1 و G6 و رگرسیون-روغن به G5، G3 و G11 تعلق داشت. نمایش چندضلعی نمودار دوبعدی برای دو صفت سه گروه محیطی شناسایی کرد. دو محیط از مراغه برای عملکرد دانه، شش محیط کردستان برای میزان روغن، محیط‌های مطلوب بودند. بر اساس نمودار دوبعدی، ژنوتیپ‌های G10 و G5 برای عملکرد و پایداری و G11، G4 و G5 برای روغن و پایداری، برتر بودند. ضریب همبستگی، با رتبه بالایی بین مدل‌‌های رگرسیون و نمودار دوبعدی (ژنوتیپ + ژنوتیپ×محیط) در دو صفت به‌دست آمد. بر اساس نتایج حاصل از دو مدل تجزیه پایداری، ژنوتیپ G5 (رقم پدیده) از لحاظ عملکرد و میزان روغن، رقم برتر و پایداری شناخته شد که می‌توان آن را برای همه محیط‌های دیم توصیه کرد

کلیدواژه‌ها


عنوان مقاله [English]

Evaluation of genotype × environment interaction on yield and oil content of rainfed safflower genotypes by regression and GGE Biplot

نویسندگان [English]

  • Mehdi Jamshidmoghaddam 1
  • Sayyed Saeid Pourdad 2
1 OilsScientific member of Dry-land Agricultural Research Institute (Sararood Branch), Agricultural Research, Education and Extension Organization (AREEO),
2 ScieScientific member of Dry-land Agricultural Research Institute (Sararood Branch), Agricultural Research,
چکیده [English]

To analyze genotype × environment interactions (GEI) on yield and seed oil content of 15 safflower genotypes (including 8 breeding lines, 6 cultivars and one landrace), multi-environment trials were conducted in three sowing times (fall, entezari and spring) at four dryland agricultural research stations including Kermanshah, Maragheh, Kurdistan and Zanjan (totally 21 environments) during 2011-2013. The two models combined index (regression analysis + yield) and GGE biplot were used for stability analysis. The combined ANOVA revealed that genotype, environment, and GEI were highly significant for the two traits (P < 0.01). The sum of squares of genotype, environment, and GEI were accounted 5, 62 and 24% for yield, and 25, 45 and 22% for oil content.The result of regression analysis indicated that the regression components were significant in both traits. According to combined index, G5, G1, and G6 for yield, and G5, G3 and G4 for oil content were superior genotypes. The polygon view of the GGE biplot showed that all test environments were divided into 3 environmental groups for both traits. Two environments of Maragheh for yield and six environments of Kurdistan for oil content were favorable. Based on GGE biplot, G10 and G5 for yield and G11, G4 and G5 for oil content had a high combination of yield (or oil content) and stability. High rank correlation coefficients were obtained between regression and GGE biplot models in both traits. Based on the results of two models, G5 (Padideh) is superior in terms of yield and oil content and is recommended for all rainfed environments.

کلیدواژه‌ها [English]

  • Cold regions
  • (G + G × E) biplot
  • regression analysis
  • Safflower
  • Stability
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