Morpho-agronomic variability in rice genotypes in the Central Pacific, Costa Rica

Rice (Oryza sativa L.) is included in the daily diet of 75% of the world population. In Costa Rica, the rice sector is a fundamental axis of attention, particularly because it is the main product within the basic food basket. Studying the morpho-agronomic variability of this cereal is a key factor f...

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Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
eng
OAI Identifier:
oai:repositorio.uptc.edu.co:001/10671
Acceso en línea:
https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/12567
https://repositorio.uptc.edu.co/handle/001/10671
Palabra clave:
PCA
MCA
Oryza sativa
Caracteres morfológicos
PCA
MCA
Oryza sativa
Morphological characters
Rights
License
Copyright (c) 2022 Andres Zuniga
id REPOUPTC2_6498fc738464aeda47508af0186a74c6
oai_identifier_str oai:repositorio.uptc.edu.co:001/10671
network_acronym_str REPOUPTC2
network_name_str RiUPTC: Repositorio Institucional UPTC
repository_id_str
dc.title.en-US.fl_str_mv Morpho-agronomic variability in rice genotypes in the Central Pacific, Costa Rica
dc.title.es-ES.fl_str_mv Variabilidad morfo-agronómica en genotipos de arroz en el Pacífico Central, Costa Rica
title Morpho-agronomic variability in rice genotypes in the Central Pacific, Costa Rica
spellingShingle Morpho-agronomic variability in rice genotypes in the Central Pacific, Costa Rica
PCA
MCA
Oryza sativa
Caracteres morfológicos
PCA
MCA
Oryza sativa
Morphological characters
title_short Morpho-agronomic variability in rice genotypes in the Central Pacific, Costa Rica
title_full Morpho-agronomic variability in rice genotypes in the Central Pacific, Costa Rica
title_fullStr Morpho-agronomic variability in rice genotypes in the Central Pacific, Costa Rica
title_full_unstemmed Morpho-agronomic variability in rice genotypes in the Central Pacific, Costa Rica
title_sort Morpho-agronomic variability in rice genotypes in the Central Pacific, Costa Rica
dc.subject.es-ES.fl_str_mv PCA
MCA
Oryza sativa
Caracteres morfológicos
topic PCA
MCA
Oryza sativa
Caracteres morfológicos
PCA
MCA
Oryza sativa
Morphological characters
dc.subject.en-US.fl_str_mv PCA
MCA
Oryza sativa
Morphological characters
description Rice (Oryza sativa L.) is included in the daily diet of 75% of the world population. In Costa Rica, the rice sector is a fundamental axis of attention, particularly because it is the main product within the basic food basket. Studying the morpho-agronomic variability of this cereal is a key factor for planning breeding strategies. The objective of the present investigation was to determine which morpho-agronomic traits give the greater contribution to genetics in 54 rice lines. The evaluated lines come from a collection of the germplasm bank of CIAT in Colombia, these were sent to Costa Rica through the National Rice Corporation (CONARROZ). Seven quantitative and five qualitative morphological variables were measured. For the quantitative ones, the coefficient of variation was calculated and a Principal Component Analysis (PCA) was performed, as well as a Cluster Analysis. With the qualitative ones, a Multiple Correspondence Analysis (MCA) was performed. The most heterogeneous quantitative variables according to the values ​​of the coefficient of variation were: tons per hectare, fertile stems and full grains per panicle. The PCA revealed that all the variables, except plant height, contributed to the total variance, and the MCA suggests that the qualitative variables measured in this research are discriminatory to differentiate genotypes. No correlations were reached between the quantitative variables studied. In the cluster analysis, four groups were obtained, one of which comprised the majority of the genotypes. The genotypes of this last group are characterized by having high values ​​for the variable full grains per panicle and medium and high values ​​for the rest of the variables. The results obtained are useful to choose the appropriate variables for selection. The cluster analysis allowed to establish the phylogenetic relationship between the lines for the planning of future crosses.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2024-07-05T18:11:39Z
dc.date.available.none.fl_str_mv 2024-07-05T18:11:39Z
dc.date.none.fl_str_mv 2022-02-24
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.es-ES.fl_str_mv Texto
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.identifier.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/12567
10.19053/01228420.v19.n1.2022.12567
dc.identifier.uri.none.fl_str_mv https://repositorio.uptc.edu.co/handle/001/10671
url https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/12567
https://repositorio.uptc.edu.co/handle/001/10671
identifier_str_mv 10.19053/01228420.v19.n1.2022.12567
dc.language.none.fl_str_mv spa
eng
dc.language.iso.none.fl_str_mv spa
language spa
eng
dc.relation.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/12567/11469
https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/12567/11606
dc.rights.en-US.fl_str_mv Copyright (c) 2022 Andres Zuniga
http://creativecommons.org/licenses/by/4.0
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Copyright (c) 2022 Andres Zuniga
http://creativecommons.org/licenses/by/4.0
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
text/xml
dc.publisher.en-US.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia
dc.source.en-US.fl_str_mv Ciencia y Agricultura; Vol. 19 No. 1 (2022): ENERO- ABRIL
dc.source.es-ES.fl_str_mv Ciencia y Agricultura; Vol. 19 Núm. 1 (2022): ENERO- ABRIL
dc.source.none.fl_str_mv 2539-0899
institution Universidad Pedagógica y Tecnológica de Colombia
repository.name.fl_str_mv Repositorio Institucional UPTC
repository.mail.fl_str_mv repositorio.uptc@uptc.edu.co
_version_ 1839633861729845248
spelling 2022-02-242024-07-05T18:11:39Z2024-07-05T18:11:39Zhttps://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/1256710.19053/01228420.v19.n1.2022.12567https://repositorio.uptc.edu.co/handle/001/10671Rice (Oryza sativa L.) is included in the daily diet of 75% of the world population. In Costa Rica, the rice sector is a fundamental axis of attention, particularly because it is the main product within the basic food basket. Studying the morpho-agronomic variability of this cereal is a key factor for planning breeding strategies. The objective of the present investigation was to determine which morpho-agronomic traits give the greater contribution to genetics in 54 rice lines. The evaluated lines come from a collection of the germplasm bank of CIAT in Colombia, these were sent to Costa Rica through the National Rice Corporation (CONARROZ). Seven quantitative and five qualitative morphological variables were measured. For the quantitative ones, the coefficient of variation was calculated and a Principal Component Analysis (PCA) was performed, as well as a Cluster Analysis. With the qualitative ones, a Multiple Correspondence Analysis (MCA) was performed. The most heterogeneous quantitative variables according to the values ​​of the coefficient of variation were: tons per hectare, fertile stems and full grains per panicle. The PCA revealed that all the variables, except plant height, contributed to the total variance, and the MCA suggests that the qualitative variables measured in this research are discriminatory to differentiate genotypes. No correlations were reached between the quantitative variables studied. In the cluster analysis, four groups were obtained, one of which comprised the majority of the genotypes. The genotypes of this last group are characterized by having high values ​​for the variable full grains per panicle and medium and high values ​​for the rest of the variables. The results obtained are useful to choose the appropriate variables for selection. The cluster analysis allowed to establish the phylogenetic relationship between the lines for the planning of future crosses.El arroz (Oryza sativa L.) está incluido en la dieta alimenticia diaria del 75% de la población mundial. En Costa Rica, el sector arrocero es un eje fundamental de atención, particularmente porque es el principal producto dentro de la canasta básica alimentaria. Estudiar la variabilidad morfo-agronómica de este cereal es un factor clave para planificar estrategias de mejoramiento genético. El objetivo de la presente investigación fue determinar cuáles son los caracteres morfo-agronómicos que tiene un mayor aporte a  la variabilidad genética en 54 líneas de arroz.  Las líneas evaluadas provienen de una colección del banco de germoplasma del CIAT de Colombia, estas fueron enviadas a Costa Rica a través de la Corporación Nacional Arrocera (CONARROZ). Se midieron siete variables morfológicas cuantitativas y cinco cualitativas. Para las cuantitativas, se calculó el coeficiente de variación y se realizó un Análisis de Componentes Principales (PCA), así como un Análisis de Agrupamiento. Con las cualitativas se realizó un Análisis de Correspondencia Múltiple (MCA).  Las variables cuantitativas más heterogéneas según los valores del coeficiente de variación fueron: toneladas por hectárea, tallos fértiles, y granos llenos por panícula. El PCA demostró que todas las variables, excepto la altura de la planta, aportaron a la varianza total, y el MCA sugiere que las variables cualitativas medidas en esta investigación, son discriminatorias para diferenciar genotipos. No se observó correlación entre las variables cuantitativas estudiadas. En el análisis de agrupamiento se obtuvo cuatro grupos de los cuales, uno de ellos abarcó la mayoría de los genotipos. Los genotipos de este último grupo se caracterizan por poseer altos valores para la variable granos llenos por panícula y valores medios y altos para el resto de las variables. Los resultados obtenidos son útiles para elegir las variables adecuadas para la selección. El análisis de conglomerados permitió establecer la relación filogenética entre las líneas para la planificación de futuros cruzamientos.application/pdftext/xmlspaengspaUniversidad Pedagógica y Tecnológica de Colombiahttps://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/12567/11469https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/12567/11606Copyright (c) 2022 Andres Zunigahttp://creativecommons.org/licenses/by/4.0http://purl.org/coar/access_right/c_abf2Ciencia y Agricultura; Vol. 19 No. 1 (2022): ENERO- ABRILCiencia y Agricultura; Vol. 19 Núm. 1 (2022): ENERO- ABRIL2539-0899PCAMCAOryza sativaCaracteres morfológicosPCAMCAOryza sativaMorphological charactersMorpho-agronomic variability in rice genotypes in the Central Pacific, Costa RicaVariabilidad morfo-agronómica en genotipos de arroz en el Pacífico Central, Costa Ricainfo:eu-repo/semantics/articleTextohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Zuniga Orozco, AndresCarrodeguas González, Ayerin001/10671oai:repositorio.uptc.edu.co:001/106712025-07-18 11:01:23.462metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co