GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil
ABSTRACT The state of Paraná is among the main producers of soybeans not only in Brazil, but in the World. However, it presents considerable edaphoclimatic variation throughout its area. This is one of the main causes genotype-by-environment interactions, hindering the selective process as well as t...
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| Format: | Article |
| Language: | English |
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Universidade Federal do Ceará
2021-06-01
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| Series: | Revista Ciência Agronômica |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902021000100409&tlng=en |
| _version_ | 1818903260649488384 |
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| author | Kadson Emmanuel Frutuoso Silva Júlio César DoVale Roberto Fritsche-Neto Jean Newton Marques |
| author_facet | Kadson Emmanuel Frutuoso Silva Júlio César DoVale Roberto Fritsche-Neto Jean Newton Marques |
| author_sort | Kadson Emmanuel Frutuoso Silva |
| collection | DOAJ |
| description | ABSTRACT The state of Paraná is among the main producers of soybeans not only in Brazil, but in the World. However, it presents considerable edaphoclimatic variation throughout its area. This is one of the main causes genotype-by-environment interactions, hindering the selective process as well as the recommendation of cultivars in the state. Therefore, the objective of this study was: (i) to identify the environment that make it possible to represent the conditions of the state of Paraná, in order to facilitate the selection and recommendation of cultivars in future breeding programs; (2) to identify soybean inbres lines stable and adapted to state of Paraná. For this, data from trials in the agricultural year of 2013/2014 conducted with 24 soybeansinbred lines in 18 locations. Genotypic differences were observed with a level of accuracy of 0.93. Despite the environmental differences, it was possible to explain approximately 70% of the global variation of the data with the first three main components. Based on the biplots, it was verified that the locality of Record-PR was the most discriminant and representative, whereas Iporã-PR provided lower. In general, inbred lines 5, 9, 23 and 24 showed good adaptability and stability as well as high grain yield. |
| first_indexed | 2024-12-19T20:48:43Z |
| format | Article |
| id | doaj.art-0b09e8c284834d38986ed9f1922b0a97 |
| institution | Directory Open Access Journal |
| issn | 1806-6690 |
| language | English |
| last_indexed | 2024-12-19T20:48:43Z |
| publishDate | 2021-06-01 |
| publisher | Universidade Federal do Ceará |
| record_format | Article |
| series | Revista Ciência Agronômica |
| spelling | doaj.art-0b09e8c284834d38986ed9f1922b0a972022-12-21T20:06:09ZengUniversidade Federal do CearáRevista Ciência Agronômica1806-66902021-06-0152110.5935/1806-6690.20210009GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, BrazilKadson Emmanuel Frutuoso Silvahttps://orcid.org/0000-0002-9551-8894Júlio César DoValehttps://orcid.org/0000-0002-3497-9793Roberto Fritsche-Netohttps://orcid.org/0000-0003-4310-0047Jean Newton Marqueshttps://orcid.org/0000-0003-3419-7836ABSTRACT The state of Paraná is among the main producers of soybeans not only in Brazil, but in the World. However, it presents considerable edaphoclimatic variation throughout its area. This is one of the main causes genotype-by-environment interactions, hindering the selective process as well as the recommendation of cultivars in the state. Therefore, the objective of this study was: (i) to identify the environment that make it possible to represent the conditions of the state of Paraná, in order to facilitate the selection and recommendation of cultivars in future breeding programs; (2) to identify soybean inbres lines stable and adapted to state of Paraná. For this, data from trials in the agricultural year of 2013/2014 conducted with 24 soybeansinbred lines in 18 locations. Genotypic differences were observed with a level of accuracy of 0.93. Despite the environmental differences, it was possible to explain approximately 70% of the global variation of the data with the first three main components. Based on the biplots, it was verified that the locality of Record-PR was the most discriminant and representative, whereas Iporã-PR provided lower. In general, inbred lines 5, 9, 23 and 24 showed good adaptability and stability as well as high grain yield.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902021000100409&tlng=enGlycine maxMultivariate analysisInbred lines selectionRecommendation of cultivarsG x E interaction |
| spellingShingle | Kadson Emmanuel Frutuoso Silva Júlio César DoVale Roberto Fritsche-Neto Jean Newton Marques GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil Revista Ciência Agronômica Glycine max Multivariate analysis Inbred lines selection Recommendation of cultivars G x E interaction |
| title | GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil |
| title_full | GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil |
| title_fullStr | GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil |
| title_full_unstemmed | GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil |
| title_short | GGE biplot projection in adaptability and stability inference of soybean in an agricultural center Paraná, Brazil |
| title_sort | gge biplot projection in adaptability and stability inference of soybean in an agricultural center parana brazil |
| topic | Glycine max Multivariate analysis Inbred lines selection Recommendation of cultivars G x E interaction |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902021000100409&tlng=en |
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