Análisis mediante elíptica de Fourier y multivariante para diferenciar tamaño y forma de cultivos de nogal (Juglans regia L.)

Autores/as

DOI:

https://doi.org/10.3989/gya.0104181

Palabras clave:

Análisis dimensional, Área proyectada, Atributo físico, Descriptor de forma, Índice de forma, Procesamiento de imágenes

Resumen


Los datos de tamaño y forma de los cultivos agrícolas proporcionan grandes fuentes para las tecnologías de procesamiento de alimentos. Los atributos físicos de diferentes frutas deben conocerse para el diseño, desarrollo e innovación de tecnologías alimentarias. En este estudio, las diferencias de tamaño y forma de quince cultivares de nueces nacionales e internacionales (Midland, Sütyemez-1, Serr, Maraş-18, Maraş-12, Sütyemez-2, Kaman-1, Kaman-5, Pedro, Howard, Chandler, Şebin, Şen-2, Bilecik y KR-1) se realizaron mediante elípticas de Fourier y multivariantes. En primer lugar, se determinaron las características gravitacionales de los cultivares de nogal, y sus atributos dimensionales de área y de forma se revelaron mediante el procesamiento de imágenes. El análisis de clusters se utilizó para designar los cultivares de nueces. Los descriptores de elípticas de Fourier obtenidos a partir de contornos de nogal proporcionaron las comparaciones de formas entre los cultivares de nueces. El índice de forma indicó que los cultivares Serr, Sütyemez-2, Midland y Şen-2 tenían forma ovalada, y los otros eran esféricos. El análisis de conglomerados dividió los cultivares de nueces en cuatro subgrupos. Los descriptores de elípticas de Fourier distinguían de manera excelente las formas de las variedades de nueces.

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Citas

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Publicado

2018-12-30

Cómo citar

1.
Demir B, Sayıncı B, Çetin N, Yaman M, Çömlek R, Aydın Y, Sütyemez M. Análisis mediante elíptica de Fourier y multivariante para diferenciar tamaño y forma de cultivos de nogal (Juglans regia L.). Grasas aceites [Internet]. 30 de diciembre de 2018 [citado 22 de julio de 2024];69(4):e271. Disponible en: https://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1739

Número

Sección

Investigación