Genotype x envíronment ínteractíon for yield of rice hybrids and ínbred varíetíes ín Venezuela
Fuente:
Redalyc
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Artículo científico |
| Lingua: | en |
| Pubblicazione: |
Universidad Nacional de Colombia
2022
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1876441764027432960 |
|---|---|
| author | Marco Antonio Acevedo Barona |
| author_facet | Marco Antonio Acevedo Barona |
| contents | Genotype x envíronment ínteractíon for yield of rice hybrids and ínbred varíetíes ín Venezuela Marco Antonio Acevedo Barona Rubén José Silva Díaz Rosaura Desirée Perdomo Rojas Iris Betzaida Pérez Almeida Rosa María Álvarez Parra Orlando José Torres Angarita Agrociencias Lin Binns Stability GGE biplot Adaptability Performance tests in múltiple locations are essential to study the genotype x-environment interaction, as well as to identify superior genotypes and testing locations. The objective of this study was to evaluate the adaptability and stability of rice hybrids and inbred varieties for grain yield. Six experiments were conducted in rice-producing areas of Venezuela using a randomized complete block design during the dry season of 2015 2016. The ANOVA detected significant differences for genotype, location, and genotype-by-location interaction, highlighting the hybrid by location interaction. The Lin and Binns model identified the hybrids ‘RHA-180' and ‘HL23035H' and the ‘Soberana Fl' variety as adapted and stable. In the GGE biplot model, the first components were significant, and together explained 82 % of the total variability. The hybrids ‘RHA-180' and ‘HL23035H' were identified as adapted and stable, whereas the ‘RHA-180' hybrid was considered the “ideal genotype”. The varieties ‘Soberana Fl' and ‘SD-20A' displayed high performance and intermediate stability. The two mega-environments differed by having the best performing genotypes ‘RHA-180' and ‘Soberana Fl'. Plot 199 was the most representative locality to evaluate hybrids and varieties, whereas the INIA Guárico location discriminated better the rice genotypes. Both models coincided regarding the identification of adapted and stable hybrids and varieties in Venezuela. Nonetheless, while it was easy and efficient to apply the Lin and Binns model, the SREG model was more detailed, effective, and informative. 2022 artículo científico 0120-2812 https://www.redalyc.org/articulo.oa?id=169977433009 https://www.redalyc.org/journal/1699/169977433009/ https://www.redalyc.org/journal/1699/169977433009/html/ https://www.redalyc.org/journal/1699/169977433009/169977433009.epub https://www.redalyc.org/journal/1699/169977433009/movil https://doi.org/10.15446/acag.v71n1 en http://www.redalyc.org/revista.oa?id=1699 Acta Agronómica application/pdf Universidad Nacional de Colombia Acta Agronómica (Colombia) Num.1 Vol.71 |
| format | Artículo científico |
| id | redalyc_169977433009 |
| institution | Redalyc |
| language | en |
| publishDate | 2022 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Genotype x envíronment ínteractíon for yield of rice hybrids and ínbred varíetíes ín Venezuela Marco Antonio Acevedo Barona Agrociencias Lin Binns Stability GGE biplot Adaptability Genotype x envíronment ínteractíon for yield of rice hybrids and ínbred varíetíes ín Venezuela Marco Antonio Acevedo Barona Rubén José Silva Díaz Rosaura Desirée Perdomo Rojas Iris Betzaida Pérez Almeida Rosa María Álvarez Parra Orlando José Torres Angarita Agrociencias Lin Binns Stability GGE biplot Adaptability Performance tests in múltiple locations are essential to study the genotype x-environment interaction, as well as to identify superior genotypes and testing locations. The objective of this study was to evaluate the adaptability and stability of rice hybrids and inbred varieties for grain yield. Six experiments were conducted in rice-producing areas of Venezuela using a randomized complete block design during the dry season of 2015 2016. The ANOVA detected significant differences for genotype, location, and genotype-by-location interaction, highlighting the hybrid by location interaction. The Lin and Binns model identified the hybrids ‘RHA-180' and ‘HL23035H' and the ‘Soberana Fl' variety as adapted and stable. In the GGE biplot model, the first components were significant, and together explained 82 % of the total variability. The hybrids ‘RHA-180' and ‘HL23035H' were identified as adapted and stable, whereas the ‘RHA-180' hybrid was considered the “ideal genotype”. The varieties ‘Soberana Fl' and ‘SD-20A' displayed high performance and intermediate stability. The two mega-environments differed by having the best performing genotypes ‘RHA-180' and ‘Soberana Fl'. Plot 199 was the most representative locality to evaluate hybrids and varieties, whereas the INIA Guárico location discriminated better the rice genotypes. Both models coincided regarding the identification of adapted and stable hybrids and varieties in Venezuela. Nonetheless, while it was easy and efficient to apply the Lin and Binns model, the SREG model was more detailed, effective, and informative. 2022 artículo científico 0120-2812 https://www.redalyc.org/articulo.oa?id=169977433009 https://www.redalyc.org/journal/1699/169977433009/ https://www.redalyc.org/journal/1699/169977433009/html/ https://www.redalyc.org/journal/1699/169977433009/169977433009.epub https://www.redalyc.org/journal/1699/169977433009/movil https://doi.org/10.15446/acag.v71n1 en http://www.redalyc.org/revista.oa?id=1699 Acta Agronómica application/pdf Universidad Nacional de Colombia Acta Agronómica (Colombia) Num.1 Vol.71 |
| title | Genotype x envíronment ínteractíon for yield of rice hybrids and ínbred varíetíes ín Venezuela |
| topic | Agrociencias Lin Binns Stability GGE biplot Adaptability |
| url | https://www.redalyc.org/articulo.oa?id=169977433009 https://www.redalyc.org/journal/1699/169977433009/ https://www.redalyc.org/journal/1699/169977433009/html/ https://www.redalyc.org/journal/1699/169977433009/169977433009.epub https://www.redalyc.org/journal/1699/169977433009/movil https://doi.org/10.15446/acag.v71n1 |