Phenotypic stability of forty advanced lines of rice at Babahoyo, Ecuador
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Published:2023-09-20
Issue:3
Volume:40
Page:e234031
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ISSN:2477-9407
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Container-title:Revista de la Facultad de Agronomía, Universidad del Zulia
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language:es
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Short-container-title:RevFacAgron(LUZ)
Author:
Maldonado Cristina1ORCID, Reyes Walter2ORCID, Duicela Luis3ORCID, Cobos Fernando2ORCID
Affiliation:
1. Universidad Técnica de Babahoyo. Doctorado en Ciencias Agrarias de la Facultad de Agronomía Universidad del Zulia. 2. Universidad Técnica de Babahoyo 3. Escuela Superior Politécnica Agropecuaria de Manabí
Abstract
The crosses between Oryza sativa L. and O. rufipogon Griff., create a high genetic diversity to develop rice varieties with high yield and phenotypic stability. In the present investigation, forty advanced lines of rice were evaluated in subsidiaries F5 (dry season) and F6 (rainy season), together with three commercial controls in the town of Babahoyo, Ecuador. A Randomized Complete Block Design (DBCA) was applied with three repetitions, recording morphoagronomic and productive characters. Statistical analyzes were applied and phenotypic stability was determined using the Eberhart and Russell, AMMI, Lin and Binns, PROMVAR models. The average morphoagronomic results were: days to flowering (72), vegetative cycle (98 days), plant height (111 cm), panicle sterility (6 %); the productive variables the results were: tillers per plant (32), panicles per plant (31), panicle length (27 cm), grains per panicle (168) and yield (8,100 kg.ha-1). The stable lines identified by the models: Eberhart and Russell were 1, 2, 10, 11, 13, 18, 25, 26, 30 and 37; AMMI identified lines 8 and 22; Lin and Binns to lines 2, 12, 18, 27, 37 and 40; and PROMOTE lines 2, 10, 13, 18, 25, 30, 38, 40 and 43; concluding that seven lines (2, 10, 13, 18, 25, 30 and 40) coincided with the applied models except AMMI. The average yield of the lines mentioned in the two seasons was 7,797 kg.ha-1, higher than the average of the commercial controls that obtained 6,809 kg.ha-1.
Publisher
Universidad del Zulia
Subject
Plant Science,Agronomy and Crop Science,Animal Science and Zoology,Food Science
Reference23 articles.
1. Acevedo, M., Reyes, E., Castrillo, W., Torres, O., Marín, C., Álvarez, R., &Torres, E. (2010). Estabilidad fenotípica de arroz de riego en Venezuela utilizando los modelos Lin-Binns y AMMI. Agronomía Tropical, Maracay 60(2), 131-138. https:// https://dialnet.unirioja.es/servlet/articulo?codigo=5238317 2. Balzarini, M., & Di Rienzo Julio, A. (2016). Info-Gen versión 2016. Facultad de Ciencias Agropecuarias, Universidad Nacional de Córdoba. Argentina. https://www.info-gen.com.ar (software estadístico aplicado a genética). 3. Benítez E., A., Valencia A., J., Estrada S., E., & Baena, D. (1988). Caracterización fenotípica de algunas introducciones del banco de germoplasma del Lulo. Solanum quitoensis Lam. Acta Agronómica, 38(3-4), 34-49. https://revistas.unal.edu.co/index.php/acta_agronomica/article/view/86536/74610 4. Cedeño Dueñas, J., Cedeño García, G., Alcivar Alcivar, J., Cargua Chávez, J., Cedeño Sacón, F., Cedeño García, G., & Constante Tubay, G. (2018). Incremento del rendimiento y calidad nutricional del arroz con fertilización NPK complementada con micronutrientes. Scientia Agropecuaria, 9(4), 503-509. https://Doi: 10.17268/sci.agropecu.2018.04.05 5. Chloupek, O., Hrstkova, P., & Schweigert, P. (2004). Yield and its stability, crop diversity, adaptability and response to climate change, weather and fertilization over 75 years in the Czech Republic in comparison to some European countries. Field Crops Research, 85(2-3), 167-190. https://Doi:10.1016/S0378-4290(03)00162-X
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