Tamaño y número de granos de trigo analizados mediante procesamiento de imagen digital

Acosta, Carlos Patricio Sauceda; Mir, Héctor Eduardo Villaseñor; García, Gabriel Antonio Lugo; Ruvalcaba, Leopoldo Partida; Hernández, Víctor A. González; Olivas, Álvaro Reyes

doi:10.29312/remexca.v8i3.28

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…One of the most often examined factors in wheat breeding and physiology is mean grain weight (MGW) [4]. The examination of wheat grain size and shape is an important indicator of yield [5]. The length of the grains differed between the years of cultivation, whereas no advance showed a change in length depending on the year for the Geo_L cultivar.…”

Section: Introductionmentioning

confidence: 99%

Determination the Wheat Weight and Volume: Mathematical Approach

Al-Amery

Albadri

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Grain size and shape are important yield indicators. A hint for reexamining the visual markers of grain weight can be found in the wheat grain width. A digital vernier caliper is used to measure length, width, and thickness. The data consisted of 1296 wheat grains, with measurements for each grain. In this data set, the average weight (We) of the twenty-four grains was measured and recorded. To determine measure of the length (L), width (W), thickness (T), weight (We), and volume(V). These features were manipulated to develop two mathematical models that were passed on to the multiple regression models. The results of the weight model demonstrated that the length and width of the grains were significantly different p < 0.0001. The coefficient of grain width was higher than that of grain length, indicating that grain width was more important than grain length. Furthermore, the overall model for volume was significantly different, (F (2,1295); =446832, p < 0.0001), regression(R2)-Square= 0.9986, Adj R-Sq=0.9986; and the RMSE of the experimental was RMSE=0.0002. The results of the weight model showed that the length, width, and thickness of the grains were significantly different p < 0.0001. The coefficient of grain the thickness was greater than the coefficient of grain length, indicating that the grain thickness was more significant than the grain length, and the coefficient of the grain width was more significant than the grain length. Moreover, the overall model for volume was significantly different (F (3,1295); =71809.6, p < 0.0001), regression (R2) and Adj-R-Sq = 0.9940 were equal, and RMES=0.3399. The introduced model may allow farmers to predict the weight and volume of wheat production during the wheat grain season, depending on the grain length, width, and thickness.

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Section: Introductionmentioning

confidence: 99%

Determination the Wheat Weight and Volume: Mathematical Approach

Al-Amery

Albadri

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Morfología foliar y del grano de Glycine max L. mediante imágenes digitales

Sauceda-Acosta,

Rodríguez-Cota,

Borbón-Gracia

et al. 2024

Remexca

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La morfología foliar y del grano de soya (Glycine max L.) es necesaria para identificar variedades y explicar su comportamiento agronómico, pero requiere medición cuantitativa y fácil de obtener. Lo anterior puede solventarse mediante análisis de imágenes digitales (AID), por ello se implementó para evaluar la morfología foliar y del grano en las variedades Cajeme, Guayparime S-10 y Harbar ’88. El AID se automatizó en ImageJ 1.51t para medir, en folíolos (cm) y granos (mm), el tamaño, longitud, anchura, circularidad y color. También se midió el área foliar específica (AFE, cm2 g-1), área total del grano (AT, mm2), número de vainas (NVP) y granos por planta (NGP), peso hectolítrico (PHE, kg hl-1) y de 100 granos (PCG, g). El folíolo central presentó forma elíptica, mayor tamaño y AFE (p≤ 0.05), mientras que los laterales fueron ovalados. El área del folíolo (AF) se correlacionó (p≤ 0.01) con la longitud, la anchura y su producto (r≥ 0.93). Cajeme mostró diferente color foliar (p≤ 0.01), Guayparime S-10 tuvo mayor AF, PHE, NVP y NGP, pero grano de menor: tamaño, longitud y anchura (p≤ 0.01). El PCG se asoció (p≤ 0.01) con: AT (rs= 0.89), tamaño (rs= 0.88), longitud y anchura del grano (rs≥ 0.71) y con tamaño foliar (rs= -0.5). Harbar ’88 mostró grano más brillante y Guayparime S-10 grano más pequeño (p≤ 0.01). La circularidad del folíolo facilita la clasificación objetiva de la forma. El AID es útil para el fenotipaje, permite identificar diferencias en folíolos y granos de las variedades Cajeme, Guayparime S-10 y Harbar ’88.

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Tamaño y número de granos de trigo analizados mediante procesamiento de imagen digital

Cited by 2 publications

References 21 publications

Determination the Wheat Weight and Volume: Mathematical Approach

Determination the Wheat Weight and Volume: Mathematical Approach

Morfología foliar y del grano de Glycine max L. mediante imágenes digitales

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