Spring barley integrated testing for yielding and stability

О. А. Демидов, В. М. Гудзенко, М. О. Сардак, В. А. Іщенко, І. В. Смульська, С. С. Коляденко

Abstract


Purpose. To define the regularities of yield level for spring barley varieties in “genotype–environment” interaction when testing in different ecological zones environments of Ukraine and identify genotypes with increased adaptive potential.

Methods. As object of the research there were 36 spring barley varieties of domestic and foreign breeding. Varieties were tested at the V. M. Remeslo Myronivka Institute of Wheat of NAAS (MIW) (the Central Forest-Steppe) in 2015–2017, at Nosivka Plant Breeding Experimental Station of the V. M. Remeslo Myronivka Institute of Wheat of NAAS (NPBES) (Polissia) in 2016–2017 and at Kirovohrad State Agricultural Experimental Station of NAAS (KSAES) (the Northern Steppe) in 2016–2017. During three years of the investigation (2015–2017), the results of varieties testing in seven environments have been obtained. Plots with discount area of 10 m2 were laid out with three replications by the method of full randomized blocks, in accordance with conventional methods. Statistical analysis of experimental data was performed using Excel 2010 and Statistica 8.0 software. To interpret visually “genotype-environment” interaction the GGE biplot model was used.

Results. The ANOVA of yield data showed reliable contributions into the total variation of environment (64.64%), genotype (14.90%), and their interaction (20.46%). Environmental conditions of MIW in 2016 were characterized with the highest discriminative fineness (informativeness), while KSAES in 2017 were characterized with the lowest one. Environmental conditions of both MIW in 2017 and NPBES in 2016 were the most representative; conditions of KSAES in 2016 were the least representative. The conditions of MIW and KSSGDS in 2016 were the most distant against each other. The GGE biplot “who-won-where” vizualization allowed to divide the environments in two sectors: the first – conditions of MIW 2015–2017 and NPBES 2016–2017, the second – conditions of KSAES 2016–2017. The variety ‘MIP Myrnyi’ had a significant advantage in the first sector, while the variety ‘Skarb’ had it in the second one. The varieties of spring barley ‘MIP Myrnyi’, ‘MIP Bohun’, ‘Talisman Myronivskyi’, ‘MIP Azart’, ‘Dokaz’, ‘Pan’ have been differen­tiated and defined as those with the optimal level of yield in environments being the closest to hypothetical “ideal” genotype of the GGE biplot model.

Conclusions. Modelling of integrated variety testing by combining years being contrast in hydrothermal regime and different ecological conditions with interpretation of the investigation results using modern statistical and graphical method contributes to more detailed characterization of the “genotype–environment” interaction, ranking and identifying of prospecting genotypes.


Keywords


spring barley; ecological testing; variety; genotype; environment; “genotype-environment” interaction; yield; adaptability; stability; GGE biplot

References


Zhuchenko, A. A. (2004). Ekologicheskaya genetika kul’turnykh rasteniy i problemy agrosfery (teoriya i praktika) [Ecological genetics of cultivated plants and problems of the agrosphere (theory and practice)]. (Vol. 1). Moscow: Agrorus. [in Russian]

Rybas’, I. A. (2016). Increasing adaptability in breeding grain crops. Sel’skokhozyaistvennaya biologiya [Agricultural Biology], 51(5), 617–626. doi: 10.15389/agrobiology.2016.5.617rus [in Russian]

Dragavtsev, V. A. (2013). How to feed the humanity. Biosfera [Biosphere], 5(3), 279–290. [in Russian]

Dragavtsev, V. A., & Maletskiy, S. I. (2015). The evolution of paradigms of heredity and development and their leading role in designing of innovative breeding technologies. Biosfera [Biosphere], 7(2), 155–168. doi: 10.24855/biosfera.v7i2.56 [in Russian]

Litun, P. P., Kirichenko, V. V., Petrenkova, V. P., & Kolomatskaya, V. P. (2007). Adaptivnaya selektsiya. Teoriya i tekhnologiya na sovremennom etape [Adaptive Plant Breeding. Theory and Technology at the Current Stage]. Kharkov: N.p. [in Russian]

Lytvynenko, M. A., & Rybalka, O. I. (2017). Cereal Crops. Current state and prospects for development of new varieties and hybrids at the scientific institutions of the Ukrainian Academy of Agrarian Sciences. Nasinnytstvo [Seed Production], 1, 3–6. [in Ukrainian]

Lytvynenko, M. A. (2017). Development of programs of winter wheat breeding in The Plant Breeding and Genetics Institute – National Center of Seed and Cultivar Investigation of NAAS. In Realizatsiia potentsialu sortiv zernovykh kultur – shliakh vyrishennia prodovolchoi bezpeky: Mizhnar. nauk.-prakt. konf., prysviachena 110-richchiu vid dnia narodzhennia akademika-selektsionera V. M. Remesla: usna dopovid [Realization of potential of cereal varieties is the way to solve food problem: Int. Sci. & Practical Conf. devoted to the 110th birthday anniversary of Vasyl M. Remeslo: Oral presentation] (Ukraine, Kyiv region, Myronivka district, village Tsentralne, Oct. 20, 2017). [in Ukrainian]

Gudzenko, V. M., & Vasylkivskyi, S. P. (2016). Spring barley yielding capacity depending on hydrothermal conditions of cropping season in the Central Forest-Steppe zone of Ukraine. Agrobìologìâ [Agrobiology], 2, 11–17. [in Ukrainian]

Ivashchenko, O. O., & Rudnyk-Ivashchenko, O. I. (2011). Directions of adaptation of agrarian production to climate change. Visnyk agrarnoi nauky [Вulletin of Agricultural Science], 8, 10–12. [in Ukrainian]

Macholdt, J., & Honermeier, B. (2016). Impact of climate change on cultivar choice: adaptation strategies of farmers and advisors in German cereal production. Agronomy, 6(3), 40. doi: 10.3390/agronomy6030040

Vashchenko, V. V. (2010). Ecological variety testing as a stage of adaptive breeding of spring barley. Visnyk centru naukovogo zabezpechennja APV Harkivs’koi’ oblasti [Bulletin of the Center for Science Provision of Agribusiness in the Kharkiv region], 9, 35–39. [in Russian]

Solonechnyy, P. N., Kozachenko, M. R., Vasko, N. I., Naumov, A. G., Vazhenina, O. E., & Solonechnaya, O. V. (2014). Productivity of spring barley varieties under ecological testing. Zernobobovye i krupânye kulʹtury [Leguminous and Groat Crops], 4, 96–99. [in Russian]

Solonechnyi, P. M., Kozachenko, M. R., Vasko, N. I., Naumov, O. H., Vazhenina, O. Ye., Solonechna, O. V., Dmytrenko, P. P., & Kovalenko, O. L. (2014). GGE biplot analysis of genotype–environment interaction of spring barley varieties. Selektsia I Nasinnitstvo [Plant Breeding and Seed Production], 106, 93–102. [in Ukrainian]

Jalata, Z. (2011). GGE-biplot Analysis of Multi-environment Yield Trials of Barley (Hordeum vulgare L.) Genotypes in Southeastern Ethiopia Highlands. Int. J. Plant Breed. Genet., 5(1), 59–75. doi: 10.3923/ijpbg.2011.59.75

Sarkar, B., Sharma, R. C., Verma, R. P. S., Sarkar, A., & Sharma, I. (2014). Identifying superior feed barley genotypes using GGE biplot for diverse environments in India. Indian J. Genet. Plant Breed., 74(1), 26–33. doi: 10.5958/j.0975-6906.74.1.004

Mortazavian, S., Nikkhah, H., Hassani, F., Sharif-al-Hosseini, M., Taheri, M., & Mahlooji, M. (2014). GGE Biplot and AMMI Analysis of Yield Performance of Barley Genotypes across Different Environments in Iran. J. Agr. Sci. Tech., 16(3), 609–622.

Volkodav, V. V. (Ed.). (2003). Method of examination and state testing of varieties of grain, cereal and leguminous crops. Okho­rona prav na sorty roslyn [Plant Variety Rights Protection] (Vol. 2, Part. 3). Kyiv: Alefa. [in Ukrainian]

Dospekhov, B. A. (1985). Metodika polevogo opyta (s osnovami statisticheskoy obrabotki rezul’tatov issledovaniy) [Methods of field experiment (with the basics of statistical processing of research results)]. (5th ed., rev.). Moscow: Agropromizdat. [in Russian]

Frutos, E., Galindo, M. P., & Leiva, V. (2014). An interactive biplot implementation in R for modeling genotype-by-environment interaction. Stoch. Environ. Res. Risk. Assess., 28(7), 1629–1641. doi: 10.1007/s00477-013-0821-z


GOST Style Citations


Жученко А. А. Экологическая генетика культурных растений и проблемы агросферы (теория и практика) : в 2 т. Москва : Агрорус, 2004. Т. 1. 690 с.

Рыбась И. А. Повышение адаптивности в селекции зерновых культур. Сельскохозяйственная биология. 2016. Т. 51, № 5. С. 617–626. doi: 10.15389/agrobiology.2016.5.617rus

Драгавцев В. А. Как помочь накормить человечество. Биосфера. 2013. Т. 5, № 3. С. 279–290.

Драгавцев В. А., Малецкий С. И. Эволюция парадигм наследования и развития и их ведущая роль в создании инновационных селекционных технологий. Биосфера. 2015. Т. 7, № 2. С. 155–168. doi: 10.24855/biosfera.v7i2.56

Литун П. П., Кириченко В. В., Петренкова В. П., Коломацкая В. П. Адаптивная селекция. Теория и технология на современном этапе. Харьков, 2007. 263 с.

Литвиненко М. А., Рибалка О. І. Зернові культури. Стан та перспективи створення нових сортів і гібридів у наукових установах УААН. Насінництво. 2007. № 1. С. 3–6.

Литвиненко М. А. Розвиток програм селекції пшениці озимої м’якої і твердої в Селекційно-генетичному інституті – НЦНС. Реалізація потенціалу сортів зернових культур – шлях вирішення продовольчої безпеки : Міжнар. наук.-практ. конф., присвячена 110-річчю від дня народження академіка-селекціонера В. М. Ремесла : усна доповідь на пленарній частині (с. Центральне, 20 жовтня 2017 р.).

Гудзенко В. М., Васильківський С. П. Урожайність ячменю ярого залежно від гідротермічних умов вегетаційного періоду у Центральному Лісостепу України. Агробіологія : зб. наук. пр. Біла Церква, 2016. Вип. 2. С. 11–17.

Іващенко О. О., Рудник-Іващенко О. І. Напрями адаптації аграрного виробництва до змін клімату. Вісн. аграрної науки. 2011. № 8. С. 10–12.

Macholdt J., Honermeier B. Impact of climate change on cultivar choice: adaptation strategies of farmers and advisors in German cereal production. Agronomy. 2016. Vol. 6, No. 3. P. 40. doi: 10.3390/agronomy6030040

Ващенко В. В. Экологическое сортоиспытание как этап адаптивной селекции ячменя ярового. Вісн. ЦНЗ АПВ Харківської області : наук.-вироб. зб. Харків, 2010. Вип. 9. С. 35–39.

Солонечный П. Н., Козаченко М. Р., Васько Н. И. и др. Продуктивность сортов ячменя ярового в экологическом сортоиспытании. Зернобобовые и крупяные культуры. 2014. № 4. С. 96–99.

Солонечний П. М., Козаченко М. Р., Васько Н. І. та ін. GGE biplot взаємодії генотип–середовище сортів ячменю ярого. Селекція і насінництво : міжвід. темат. наук. зб. Харків, 2014. Вип. 106. С. 93–102.

Jalata Z. GGE-biplot Analysis of Multi-environment Yield Trials of Barley (Hordeum vulgare L.) Genotypes in Southeastern Ethiopia Highlands. Int. J. Plant Breed. Genet. 2011. Vol. 5, No. 1. P. 59–75. doi: 10.3923/ijpbg.2011.59.75

Sarkar B., Sharma R. C., Verma R. P. S. et al. Identifying superior feed barley genotypes using GGE biplot for diverse environments in India. Indian J. Genet. Plant Breed. 2014. Vol. 74, Iss. 1. P. 26–33. doi: 10.5958/j.0975-6906.74.1.004

Mortazavian S. M. M., Nikkhah H. R., Hassani F. A. et al. GGE biplot and AMMI analysis of yield performance of barley geno­types across different environments in Iran. J. Agr. Sci. Tech. 2014. Vol. 16, Iss. 3. P. 609–622.

Методика проведення експертизи та державного сортовипробування сортів рослин зернових, круп’яних та зернобобових культур. Охорона прав на сорти рослин : офіц. бюл. / гол. ред. В. В. Волкодав. Київ : Алефа, 2003. Вип. 2, Ч. 3. 241 с.

Доспехов Б. А. Методика полевого опыта (с основами статистической обработки результатов исследований). 5-е изд., доп. и перераб. Москва : Агропромиздат, 1985. 351 с.

Frutos E., Galindo M. P., Leiva V. An interactive biplot implementation in R for modeling genotype-by-environment interaction. Stoch. Environ. Res. Risk. Assess. 2014. Vol. 28, No. 7. P. 1629–1641. doi: 10.1007/s00477-013-0821-z





DOI: https://doi.org/10.21498/2518-1017.13.4.2017.117727

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