GGE-biplot analysis of yield stability in environment trial of tropical wheat (Triticum aestivum L.) genotype under dry season in Indonesia

Kadir, Muhammad; Kaimuddin, .; Farid, Babar; Musa, Yunus; Nur, Amin; Efendi, Roy; Syahruddin, Karlina

doi:10.31830/2348-7542.2018.0001.47

Cited by 2 publications

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“…The stability and adaptability of 121 soybean varieties planted in three test sites were analyzed using GGE biplot, and the local variety "Yapoche" showed high and stable protein content and special adaptability to Harbin (Wu et al, 2015). The high-yield and stable variety AN2 was identified by analyzing 24 soybean germplasm resources planted at eight test locations using GGE biplot (Zhou, 2012). Moreover, the characteristics of stable and high yield of oat germplasms in regional trial were also analyzed using GGE biplot, and the discriminative power and representativeness of different environments for yield traits were determined.…”

Section: Introductionmentioning

confidence: 99%

Identification of Traits Contributing to High and Stable Yields in Different Soybean Varieties Across Three Chinese Latitudes

Liu

Chun-sheng

et al. 2020

Front. Plant Sci.

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Soybean yield is a complex quantitative trait, which is greatly affected by environmental conditions. The main objective of this study is not only to identify specific traits contributing to yield in different latitudes, which can be further used in breeding, but also to identify the outperforming varieties, as this can help to select new lines with these traits. One hundred and seventy-three soybean genotypes were tested in three different ecological environments, including Harbin, Changchun, and Shenyang in China during 2015-2016 cropping seasons. The evaluation on the different agronomic and physiological traits indicated that the soybean varieties with higher plant height, more nodes of main stem, branches, pods, grains, and 100-grain weight, or longer growth periods may have higher yield. Pods, grains and 100-grain weight can be used as direct selection criteria for yield increase, and likewise the other traits such as plant height, nodes of main stem, branches, growth periods indirectly affected yield by affecting the three traits above. The effect of genotype × environment (G × E) interaction on different agronomic traits was significant. The representativeness and discriminability for grains yield per plant was the most significant in Harbin, which could be used to screen varieties with high yield and wider adaptability. Genotype "Suinong 1" was considered stable with higher value of grain yield per plant than other genotypes used in this study. As the yield of certain soybean cultivars may be significantly reduced if they are grown in a region as little as 2°N beyond its normal cultivation latitudes, therefore, the identification and analysis on the stable and widely adaptive soybean genotypes would be very important, and it would provide the significant reference accordance of soybean variety selection for the soybean breeders.

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Section: Introductionmentioning

confidence: 99%

Identification of Traits Contributing to High and Stable Yields in Different Soybean Varieties Across Three Chinese Latitudes

Liu

Chun-sheng

et al. 2020

Front. Plant Sci.

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Environmental trials of a model population of Phaseolus vulgaris L. in contrast climates

Bezugla

Kobyzeva

Vus

et al. 2020

Plant Breeding and Seed Production

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The study purpose was to evaluate the potentials of bean genotypes in contrast climates, to identify the most informative environments for assessing the adaptability of genotypes, to select promising starting material for specific areas where this crop is supposed to be bred. To accomplish this purpose, environmental trials were conducted on a collection of bean (Phaseolus vulgaris L.) accessions in four sites located in different climatic zones of Ukraine: the eastern Forest-Steppe -Kharkiv region; southern Forest-Steppe -Poltava region; Woodlands -Chernivtsi region; southern Steppe -Odesa region. Genotypes and environments were evaluated using the GGE biplot method, which allowed us to graphically visualize the environmental trial data. To develop cultivars for different zones of Ukraine, we recommend selecting parents, taking into account the weather conditions: drought-and highly heat-tolerant genotypes (Holberg) for the south of Ukraine; intensive genotypes (Pervomaicka, Mistseva Bomba 5) for Woodlands; genotypes with stable yields and high drought tolerance (Holberg, Nadiia, UD0300104) for Forest-Steppe. The GGE biplot analysis distinguished the most informative environments allowing full assessments of the adaptability of genotypesthe Forest-Steppe of Ukraine (Kharkiv region and Poltava region). The genotypes with stable yields of seeds were identified: Holberg, Otrada, UD0300104, Bogema, UD0300152, N 201-15 and Synelnykivska 8. Of these accessions, Holberg, Otrada, UD0300104 and Synelnykivska 8 gave high yields, and Holberg and UD0300104 approached the "ideal" genotype. The southern subzone of the Steppe is the most informative for identification of drought-and heat-tolerant bean accessions; the Woodlandsfor selection of genotypes with high potential yields.

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GGE-biplot analysis of yield stability in environment trial of tropical wheat (Triticum aestivum L.) genotype under dry season in Indonesia

Cited by 2 publications

References 0 publications

Identification of Traits Contributing to High and Stable Yields in Different Soybean Varieties Across Three Chinese Latitudes

Identification of Traits Contributing to High and Stable Yields in Different Soybean Varieties Across Three Chinese Latitudes

Environmental trials of a model population of Phaseolus vulgaris L. in contrast climates

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