STATISTICAL TOOLS FOR EVALUATION AND SELECTION OF CORN HYBRIDS ACROSS MULTIPLE ENVIRONMENTS AND YEARS

STATISTICAL TOOLS FOR EVALUATION AND SELECTION OF CORN HYBRIDS ACROSS MULTIPLE ENVIRONMENTS AND YEARS

Data of 34 trials established during the last three years (2017-2019), mainly in the Azuero Region in Panama, were used to evaluate some statistical tools for decision-making when releasing new genotypes, with the precision that these are superior to the controls in common use. The number of hybrids evaluated per year varied from 20, 15 and 18 genotypes, respectively. For this study, six hybrids in common were taken over the years, comparing them with the most used control in the country (30F-35). The original experimental design was Alpha Lattice with three repetitions, which varied over years. An analysis of variance was carried out individually and in a combined type REML in a Complete Random Block design for the analysis of the seven selected genotypes. These analyzes showed highly significant differences between the different hybrids evaluated for grain yield variable and other agronomic characteristics. This analysis showed that by reducing the number of cultivars, the variance between genotypes was reduced; while the variance between environments was increased. Within the evaluated hybrids, three exceeded the combined overall average, with P-4039, ADV-9789, and ADV-9779 standing out significantly, with averages exceeding 8,30 ton.ha-1. The Biplot GGE-SReg analysis identified ADV-9779 as the most stable hybrid across localities. The analysis of the reliability of the normalized response indicated that P-4039 exceeds the control in 87% of the locations. The used methodologies were confirmed to be useful and simple to identify superior genotypes for release in the evaluated areas of influence.

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Main Authors: Gordón-Mendoza, Román, Camargo-Buitrago, Ismael
Format: Digital revista
Language:spa
Published: Instituto de Innovación Agropecuaria de Panamá 2021
Online Access:http://www.revistacienciaagropecuaria.ac.pa/index.php/ciencia-agropecuaria/article/view/417
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id oai:ojs.revistacienciaagropecuaria.ac.pa:article-417
record_format ojs
institution IDIAP
collection OJS
country Panamá
countrycode PA
component Revista
access En linea
databasecode rev-cienciaagropecuaria
tag revista
region America Central
libraryname Centro de Información Documental Agropecuaria
language spa
format Digital
author Gordón-Mendoza, Román
Camargo-Buitrago, Ismael
spellingShingle Gordón-Mendoza, Román
Camargo-Buitrago, Ismael
STATISTICAL TOOLS FOR EVALUATION AND SELECTION OF CORN HYBRIDS ACROSS MULTIPLE ENVIRONMENTS AND YEARS
author_facet Gordón-Mendoza, Román
Camargo-Buitrago, Ismael
author_sort Gordón-Mendoza, Román
title STATISTICAL TOOLS FOR EVALUATION AND SELECTION OF CORN HYBRIDS ACROSS MULTIPLE ENVIRONMENTS AND YEARS
title_short STATISTICAL TOOLS FOR EVALUATION AND SELECTION OF CORN HYBRIDS ACROSS MULTIPLE ENVIRONMENTS AND YEARS
title_full STATISTICAL TOOLS FOR EVALUATION AND SELECTION OF CORN HYBRIDS ACROSS MULTIPLE ENVIRONMENTS AND YEARS
title_fullStr STATISTICAL TOOLS FOR EVALUATION AND SELECTION OF CORN HYBRIDS ACROSS MULTIPLE ENVIRONMENTS AND YEARS
title_full_unstemmed STATISTICAL TOOLS FOR EVALUATION AND SELECTION OF CORN HYBRIDS ACROSS MULTIPLE ENVIRONMENTS AND YEARS
title_sort statistical tools for evaluation and selection of corn hybrids across multiple environments and years
description Data of 34 trials established during the last three years (2017-2019), mainly in the Azuero Region in Panama, were used to evaluate some statistical tools for decision-making when releasing new genotypes, with the precision that these are superior to the controls in common use. The number of hybrids evaluated per year varied from 20, 15 and 18 genotypes, respectively. For this study, six hybrids in common were taken over the years, comparing them with the most used control in the country (30F-35). The original experimental design was Alpha Lattice with three repetitions, which varied over years. An analysis of variance was carried out individually and in a combined type REML in a Complete Random Block design for the analysis of the seven selected genotypes. These analyzes showed highly significant differences between the different hybrids evaluated for grain yield variable and other agronomic characteristics. This analysis showed that by reducing the number of cultivars, the variance between genotypes was reduced; while the variance between environments was increased. Within the evaluated hybrids, three exceeded the combined overall average, with P-4039, ADV-9789, and ADV-9779 standing out significantly, with averages exceeding 8,30 ton.ha-1. The Biplot GGE-SReg analysis identified ADV-9779 as the most stable hybrid across localities. The analysis of the reliability of the normalized response indicated that P-4039 exceeds the control in 87% of the locations. The used methodologies were confirmed to be useful and simple to identify superior genotypes for release in the evaluated areas of influence.
publisher Instituto de Innovación Agropecuaria de Panamá
publishDate 2021
url http://www.revistacienciaagropecuaria.ac.pa/index.php/ciencia-agropecuaria/article/view/417
work_keys_str_mv AT gordonmendozaroman statisticaltoolsforevaluationandselectionofcornhybridsacrossmultipleenvironmentsandyears
AT camargobuitragoismael statisticaltoolsforevaluationandselectionofcornhybridsacrossmultipleenvironmentsandyears
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AT camargobuitragoismael herramientasestadisticasparalaevaluacionyselecciondehibridosdemaizatravesdemultiplesambientesyanos
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spelling oai:ojs.revistacienciaagropecuaria.ac.pa:article-4172023-01-24T20:40:58Z STATISTICAL TOOLS FOR EVALUATION AND SELECTION OF CORN HYBRIDS ACROSS MULTIPLE ENVIRONMENTS AND YEARS HERRAMIENTAS ESTADÍSTICAS PARA LA EVALUACIÓN Y SELECCIÓN DE HÍBRIDOS DE MAÍZ A TRAVÉS DE MÚLTIPLES AMBIENTES Y AÑOS Gordón-Mendoza, Román Camargo-Buitrago, Ismael Data of 34 trials established during the last three years (2017-2019), mainly in the Azuero Region in Panama, were used to evaluate some statistical tools for decision-making when releasing new genotypes, with the precision that these are superior to the controls in common use. The number of hybrids evaluated per year varied from 20, 15 and 18 genotypes, respectively. For this study, six hybrids in common were taken over the years, comparing them with the most used control in the country (30F-35). The original experimental design was Alpha Lattice with three repetitions, which varied over years. An analysis of variance was carried out individually and in a combined type REML in a Complete Random Block design for the analysis of the seven selected genotypes. These analyzes showed highly significant differences between the different hybrids evaluated for grain yield variable and other agronomic characteristics. This analysis showed that by reducing the number of cultivars, the variance between genotypes was reduced; while the variance between environments was increased. Within the evaluated hybrids, three exceeded the combined overall average, with P-4039, ADV-9789, and ADV-9779 standing out significantly, with averages exceeding 8,30 ton.ha-1. The Biplot GGE-SReg analysis identified ADV-9779 as the most stable hybrid across localities. The analysis of the reliability of the normalized response indicated that P-4039 exceeds the control in 87% of the locations. The used methodologies were confirmed to be useful and simple to identify superior genotypes for release in the evaluated areas of influence. Con el objetivo de evaluar algunas herramientas estadísticas para la toma de decisiones al momento de liberar nuevos genotipos, con la precisión que éstos sean superiores a los testigos de uso común, se tomaron los datos de 34 ensayos sembrados durante los últimos tres años (2017-2019) principalmente en la Región de Azuero en Panamá. El número de híbridos evaluados por año varió de 20, 15 y 18 genotipos, respectivamente. Para el estudio se tomaron seis híbridos en común a través de los años comparándose con el testigo más usado en el país (30F-35). El diseño experimental original fue Alfa Látice con tres repeticiones, el cual varió a través de años. Para el análisis de los siete genotipos seleccionados se realizó un análisis de varianza individual y combinado tipo REML en un diseño de Bloques Completos al Azar. Estos análisis mostraron diferencias altamente significativas entre los distintos híbridos evaluados para la variable rendimiento de grano y otras características agronómicas. Este análisis mostró que al reducir el número de cultivares, la varianza entre genotipos se redujo; mientras que la varianza entre ambientes aumentó. De los híbridos evaluados, tres sobrepasaron la media general del combinado, sobresaliendo de manera significativa el P-4039, ADV-9789 y ADV-9779 con medias de que superan las 8,30 ton·ha-1. El análisis Biplot GGE-SReg identificó al híbrido ADV-9779 como el más estable a través de las localidades. El análisis de la confiabilidad de la respuesta normalizada, indicó que el P-4039 supera al testigo en el 87% de las localidades. Se confirmó que las metodologías empleadas, resultan útiles y sencillas para identificar genotipos superiores para su liberación en las áreas de influencia evaluadas. Instituto de Innovación Agropecuaria de Panamá 2021-06-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artículo revisado por pares application/pdf http://www.revistacienciaagropecuaria.ac.pa/index.php/ciencia-agropecuaria/article/view/417 Ciencia Agropecuaria; Núm. 32 (2021): CIENCIA AGROPECUARIA; 12-37 2414-3278 0258-6452 spa http://www.revistacienciaagropecuaria.ac.pa/index.php/ciencia-agropecuaria/article/view/417/327 http://creativecommons.org/licenses/by-nc-sa/4.0

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