Genotype-by-environment interaction of Solanum quitoense (Lam.) using the AMMI model

The basis for genetic improvement for the cultivation of lulo (Solanum quitoense Lam.) in Colombia is limited. Research related to genotype-by-environment interaction (GEI) and stability in agronomic traits is scarce. To identify outstanding genotypes, GEI and the stability of fruit weight (FW), asc...

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Main Authors: Lagos-Santander, Liz Katherine, Duarte-Alvarado, David Esteban, Lagos-Burbano, Túlio César
Format: Online
Language:eng
Published: Sociedad Colombiana de Ciencias Hortícolas-SCCH and Universidad Pedagógica y Tecnológica de Colombia-UPTC 2024
Subjects:
Online Access:https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/17442
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author Lagos-Santander, Liz Katherine
Duarte-Alvarado, David Esteban
Lagos-Burbano, Túlio César
author_facet Lagos-Santander, Liz Katherine
Duarte-Alvarado, David Esteban
Lagos-Burbano, Túlio César
author_sort Lagos-Santander, Liz Katherine
collection OJS
description The basis for genetic improvement for the cultivation of lulo (Solanum quitoense Lam.) in Colombia is limited. Research related to genotype-by-environment interaction (GEI) and stability in agronomic traits is scarce. To identify outstanding genotypes, GEI and the stability of fruit weight (FW), ascorbic acid (AA), and yield of 10 half-sib families (HSF) were evaluated. At the locations of San Pedro de Cartago, Arboleda, Tangua and La Union of the department of Nariño (Colombia), four trials were established under the randomised complete block design with four repetitions. To analyse GEI, the additive main effects and multiplicative interaction (AMMI) model and some AMMI stability parameters were used. In yield, the HSF7 and the control presented specific adaptation for Tangua, with 12.82 and 13.41 t ha-1, respectively and FW greater than 100 g. In Arboleda, HSF29 obtained the highest yield (16.14 t ha-1) with an FW of 100.53 g. HSF4, HSF28 and HSF49 reached yields above 9.0 t ha-1 and a FW greater than 100 g; therefore, they are recommended for any of the environments evaluated given their stability. HSF25 in AA and HSF29 in yield presented specific adaptation in Arboleda. Stable families across environments and with good yield were HSF4, HSF28, and HSF49, HSF4 and HSF28 showed higher values in two of the three traits, and HSF49 was outstanding in all three variables. These families can be used in plant breeding programmes as parents or distributed to farmers as improved varieties.
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spelling oai:oai.revistas.uptc.edu.co:article-174422024-05-29T13:28:48Z Genotype-by-environment interaction of Solanum quitoense (Lam.) using the AMMI model Interacción genotipo por ambiente de Solanum quitoense (Lam.) usando el modelo AMMI Lagos-Santander, Liz Katherine Duarte-Alvarado, David Esteban Lagos-Burbano, Túlio César Adaptability Environments Lulo Yield Fruit weight Ascorbic acid Lulo AMMI Adaptabilidad Ambientes Lulo Rendimiento Peso del fruto Ácido ascórbico Lulo AMMI The basis for genetic improvement for the cultivation of lulo (Solanum quitoense Lam.) in Colombia is limited. Research related to genotype-by-environment interaction (GEI) and stability in agronomic traits is scarce. To identify outstanding genotypes, GEI and the stability of fruit weight (FW), ascorbic acid (AA), and yield of 10 half-sib families (HSF) were evaluated. At the locations of San Pedro de Cartago, Arboleda, Tangua and La Union of the department of Nariño (Colombia), four trials were established under the randomised complete block design with four repetitions. To analyse GEI, the additive main effects and multiplicative interaction (AMMI) model and some AMMI stability parameters were used. In yield, the HSF7 and the control presented specific adaptation for Tangua, with 12.82 and 13.41 t ha-1, respectively and FW greater than 100 g. In Arboleda, HSF29 obtained the highest yield (16.14 t ha-1) with an FW of 100.53 g. HSF4, HSF28 and HSF49 reached yields above 9.0 t ha-1 and a FW greater than 100 g; therefore, they are recommended for any of the environments evaluated given their stability. HSF25 in AA and HSF29 in yield presented specific adaptation in Arboleda. Stable families across environments and with good yield were HSF4, HSF28, and HSF49, HSF4 and HSF28 showed higher values in two of the three traits, and HSF49 was outstanding in all three variables. These families can be used in plant breeding programmes as parents or distributed to farmers as improved varieties. Las bases para el mejoramiento genético para el cultivo de lulo (Solanum quitoense Lam.) en Colombia son limitadas. Investigaciones relacionadas con la interacción genotipo-ambiente (IGA) y la estabilidad en caracteres agronómicos son escasas. Con el fin de identificar genotipos sobresalientes, se evaluó la IGA y la estabilidad del peso del fruto (PF), ácido ascórbico (AA) y rendimiento de 10 familias de medio hermanos (FMH). En las localidades de San Pedro de Cartago, Arboleda, Tangua y La Unión del departamento de Nariño (Colombia), se establecieron cuatro ensayos bajo el diseño de bloques completos al azar con cuatro repeticiones. Para analizar el IGA se utilizó el modelo de efectos principales aditivos e interacción multiplicativa (AMMI) y algunos parámetros de estabilidad AMMI. En rendimiento, la FMH7 y el control presentaron adaptación específica para Tangua, con 12,82 y 13,41 t ha-1, respectivamente y PF mayor a 100 g. En Arboleda, la FMH29 obtuvo el mayor rendimiento (16,14 t ha-1) con un PF de 100,53 g. FMH4, FMH28 y FMH49 alcanzaron rendimientos superiores a 9,0 t ha-1 y un PF mayor a 100 g, por lo tanto, recomendables para cualquiera de los ambientes evaluados dada su estabilidad. FMH25 en AA y FMH29 en rendimiento, presentaron adaptación específica en Arboleda. Las familias estables en todos los ambientes y con buen rendimiento fueron FMH4, FMH28 y FMH49, FMH4 y FMH28 mostraron valores superiores en dos de los tres caracteres, y FMH49 destacó en las tres variables. Estas familias pueden utilizarse en programas de fitomejoramiento como parentales o entregarse a los agricultores como variedades mejoradas. Sociedad Colombiana de Ciencias Hortícolas-SCCH and Universidad Pedagógica y Tecnológica de Colombia-UPTC 2024-05-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Text Texto application/pdf https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/17442 10.17584/rcch.2024v18i2.17442 Revista Colombiana de Ciencias Hortícolas; Vol. 18 No. 2 (2024): In press / En imprenta; e17442 Revista Colombiana de Ciencias Hortícolas; Vol. 18 Núm. 2 (2024): En imprenta / In press; e17442 Revista Colombiana de Ciencias Hortícolas; Vol. 18 No 2 (2024): In press / En imprenta; e17442 Revista Colombiana de Ciencias Hortícolas; V. 18 N. 2 (2024): In press / En imprenta; e17442 Revista Colombiana de Ciencias Hortícolas; v. 18 n. 2 (2024): In press / En imprenta; e17442 2422-3719 2011-2173 eng https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/17442/14111 Colombia; Nariño Colombia; Nariño Copyright (c) 2024 Revista Colombiana de Ciencias Hortícolas http://creativecommons.org/licenses/by-nc-sa/4.0
spellingShingle Adaptability
Environments
Lulo
Yield
Fruit weight
Ascorbic acid
Lulo
AMMI
Adaptabilidad
Ambientes
Lulo
Rendimiento
Peso del fruto
Ácido ascórbico
Lulo
AMMI
Lagos-Santander, Liz Katherine
Duarte-Alvarado, David Esteban
Lagos-Burbano, Túlio César
Genotype-by-environment interaction of Solanum quitoense (Lam.) using the AMMI model
title Genotype-by-environment interaction of Solanum quitoense (Lam.) using the AMMI model
title_alt Interacción genotipo por ambiente de Solanum quitoense (Lam.) usando el modelo AMMI
title_full Genotype-by-environment interaction of Solanum quitoense (Lam.) using the AMMI model
title_fullStr Genotype-by-environment interaction of Solanum quitoense (Lam.) using the AMMI model
title_full_unstemmed Genotype-by-environment interaction of Solanum quitoense (Lam.) using the AMMI model
title_short Genotype-by-environment interaction of Solanum quitoense (Lam.) using the AMMI model
title_sort genotype by environment interaction of solanum quitoense lam using the ammi model
topic Adaptability
Environments
Lulo
Yield
Fruit weight
Ascorbic acid
Lulo
AMMI
Adaptabilidad
Ambientes
Lulo
Rendimiento
Peso del fruto
Ácido ascórbico
Lulo
AMMI
topic_facet Adaptability
Environments
Lulo
Yield
Fruit weight
Ascorbic acid
Lulo
AMMI
Adaptabilidad
Ambientes
Lulo
Rendimiento
Peso del fruto
Ácido ascórbico
Lulo
AMMI
url https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/17442
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