Evaluación agronómica y económica de arveja arbustiva (Pisum sativum L.) en diferentes épocas de siembra y sistemas de tutorado

Coral, Oscar Eduardo Checa; Acosta, Jhuliana Estefany Bastidas; Taimal, Olga Cristina Narváez

doi:10.31910/rudca.v20.n2.2017.380

Cited by 5 publications

(3 citation statements)

References 3 publications

(4 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…En número de vainas por planta (NVP), el promedio general fue de 14,95 vainas. Checa et al (2017) evaluaron líneas arbustivas sembradas en 3 épocas del año, como resultado obtuvieron promedios de 11,95; 35,67; 33,84 vainas por planta, respectivamente. En el primer resultado, las plantas estuvieron sometidas a bajas precipitaciones en el primer mes del cultivo, similar a la temporada de escasas lluvias en que se evaluó este experimento.…”

Section: Resultados Y Discusiónunclassified

Correlaciones genéticas en arveja (Pisum sativum L.) ti´po afila

Delgado¹,

Coral

2020

RAC

View full text Add to dashboard Cite

Introducción. La arveja es un cultivorentable en el departamento de Nariño el cualrepresenta el 43% de la producción de arveja en Colombia involucrando alrededor de 8000 personas agricultoras dedicadas a su producción en vaina verde. Los agricultores utilizan variedadescon altos costos de producción, lo que requierebuscar una mejor rentabilidad del cultivo. Elgrupo de investigación en Cultivos Andinos de la Universidad de Nariño obtuvo 21 líneas avanzadas de arveja con gen afila (af). Estas líneas presentan características fenotípicas apropiadas para mejorar la eficiencia de los actuales sistemas de tutorado. Objetivo. Determinar los efectos directos e indirectos que están presentes en las correlaciones genéticas entre el rendimientoy sus componentes, para aportar a la selecciónpor rendimiento en genotipos de arveja con gen afila. Materiales y métodos. Las 21 líneas fueron evaluadas en un diseño de bloques al azar con arreglo en parcelas divididas, la parcelaprincipal fueron las densidades y la subparcelalos genotipos. Los resultados se sometierona análisis de varianza y se determinaron las correlaciones genéticas entre los componentes derendimiento. Para establecer los efectos directose indirectos de los diferentes componentes sobre el rendimiento, se efectuó un análisis de Sendero. Resultados. El 73% de las correlaciones genéticas entre los componentes de rendimientofueron significativas. Peso de cien granos verdes(PCGV) y número de vainas por planta (NVP)correspondieron a las variables con mayor efecto directo. Conclusión. El análisis de correlaciones genéticas indicó que es posible seleccionar genotipos con mayor peso de vaina a partir de lalongitud de sus vainas. Los efectos directos NVPY PCGV fueron los de mayor aporte y confirmansu utilidad en la selección por rendimiento.

show abstract

Section: Resultados Y Discusiónunclassified

Correlaciones genéticas en arveja (Pisum sativum L.) ti´po afila

Delgado¹,

Coral

2020

RAC

View full text Add to dashboard Cite

show abstract

“…Having specific pea genotypes of determined growth or shrubs adapted to the region, for which an adequate cultivation technology is established, improves the income of farming families in municipalities that used to be wheat producers in Nariño and allows farmers to return to agricultural activities by generating new work opportunities (Checa-Coral et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…However, in Nariño, the varieties of peas include snowy peas, which require tutoring systems to help the plant stay off the ground, allowing an increase in potential yield. According to Checa-Coral et al (2017), employing a tutoring system represents 52% of total crop costs, which has led farmers with limited finances to not use tutored systems for the cultivation of peas, significantly increasing the incidence of foliar diseases such as mildew (Erysiphe polygoni) and Ascochyta (Ascochyta pisi), reducing yield and deteriorating quality of the final product. Because of technification difficulties in snowy pea tutoring systems, studies on shrub peas are vital, within which genotypes with the Afila gene (aF) are found, which, in the homozygote condition, transforms leaves into tendrils (Mike, 2008;Smýkal et al, 2013), reducing tipping and preventing the sheaths from coming into contact with the ground, avoiding pod rotting under high relative humidity conditions (Checa-Coral et al, 2017).…”

mentioning

confidence: 99%

Molecular characterization using SSR markers in 50 shrub pea genotypes (Pisum sativum L.) from the GRICAND Collection, Colombia

Duque-Zapata

Muñoz

Coral

2019

Rev. Colomb. Cienc. Hortic.

View full text Add to dashboard Cite

The pea (Pisum sativum L.) is one of the more important legume crops produced globally. We studied the structure and genetic diversity in a collection of 50 pea accessions with 16 simple sequence repeat (SSR) markers, whose average polymorphic information content (PIC) was 0.62. The SSR markers amplified a total of 28 alleles with an average of 4 alleles per locus, with locus AB71 and D21 amplifying the largest number of alleles (6). The observed heterozygosity (Ho) was 0.09±0.08 and the expected heterozygosity (He) was 0.42, indicating an elevated level of inbreeding (Fis = 0.60). The genetic relationships were inferred with a similarity index (DICE) and a bayesian analysis (STRUCTURE), detecting 2 clusters for the genotypes, with a high similarity of the morphological characteristics of each genotype. The results of this study will be useful for the creation of future breeding programs.The pea (Pisum sativum L.) is one of the more important legume crops produced globally. We studied the structure and genetic diversity in a collection of 50 pea accessions with 16 simple sequence repeat (SSR) markers, whose average polymorphic information content (PIC) was 0.62. The SSR markers amplified a total of 28 alleles with an average of 4 alleles per locus, with locus AB71 and D21 amplifying the largest number of alleles (6). The observed heterozygosity (Ho) was 0.09±0.08 and the expected heterozygosity (He) was 0.42, indicating an elevated level of inbreeding (Fis = 0.60). The genetic relationships were inferred with a similarity index (DICE) and a bayesian analysis (STRUCTURE), detecting 2 clusters for the genotypes, with a high similarity of the morphological characteristics of each genotype. The results of this study will be useful for the creation of future breeding programs.

show abstract

Genotype × environment interaction of six bush pea lines with the afila gene through the AMMI model in cereal grown areas of Colombia

Criollo,

Coral,

Portilla

2023

Agronomy Journal

View full text Add to dashboard Cite

Wheat (Triticum aestivum) and barley (Hordeum vulgare) have no longer been a profitable crop option in Colombia's cereal‐growing regions since the opening of the economy in the 1990s, which allowed them to be imported. Due to their high nutritional value and wide commercial demand, peas (Pisum sativum L.) have become a new crop option in southern Colombia's cereal‐growth areas. Bush varieties are required with low lodging, high yield, and good adaptation to environmental conditions. This study evaluated six lines of bush pea with the afila gene for yield and phenotypic stability in nine cereal‐growing environments of southern Colombia in 2020 and 2021. A randomized block design with four replications was used in each environment. Phenotypic stability was studied using the additive main effects and multiplicative interaction model (AMMI). Visual observation of the biplot graph for principal components IPC1 and IPC2 showed higher contribution of genotypes ARB2, ARB12, and ARB13 to the genotype–environment interaction, while genotypes ARB10, ARB15, and ARB16 displayed the highest stability; only the last two genotypes exceeded the overall mean yield. The AMMI phenotypic stability values confirmed ARB10 and ARB15 as the most stable. The genotypic selection index ranked ARB15 and ARB16 as the most promising lines for the cereal‐growing area of southern Colombia based on their stability and yield, making them new productive options.

show abstract

Evaluación agronómica y económica de arveja arbustiva (Pisum sativum L.) en diferentes épocas de siembra y sistemas de tutorado

Cited by 5 publications

References 3 publications

Correlaciones genéticas en arveja (Pisum sativum L.) ti´po afila

Correlaciones genéticas en arveja (Pisum sativum L.) ti´po afila

Molecular characterization using SSR markers in 50 shrub pea genotypes (Pisum sativum L.) from the GRICAND Collection, Colombia

Genotype × environment interaction of six bush pea lines with the afila gene through the AMMI model in cereal grown areas of Colombia

Contact Info

Product

Resources

About