Assessment of Eggplant (Solanum melongena L.) Genotypes and Selection of Parameters for Better Yield

Damnjanović, Jelena; Girek, Zdenka; Milojević, Jelena; Zečević, Veselinka; Zivanovic, Tomislav; Ugrinović, Milan; Pavlović, Suzana

doi:10.3390/iocag2022-12309

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…It is also essential to note that the fruit weight didn't significantly affect the yield plant -1 , regardless of the plant growth regulator treatment, indicating that number of fruits plant -1 as a key trait for increasing the yield plant -1 . This insignificant role of fruit weight on yield plant -1 is an unlikely phenomenon in okra, whereas the same traits were reported to be strongly associated with one another in other fruit vegetables [16][17][18][19][20][21][22], Kadium and Svyantek, (2023).…”

Section: Identifying Traits Relationships and Crop Ideotype Featuresmentioning

confidence: 99%

Multivariate Analysis for Designing Okra Crop Ideotype with Enhanced Yields and Strategy Formulation: A Crop Physiology Perspective

J.,

Nadaradjan,

Shanthi

et al. 2024

J. Adv. Biol. Biotechnol.

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A crop ideotype, representing an optimal crop type with higher yield and improved quality, requires minimal input per unit of dry matter produced. This concept aims to amalgamate all yield-contributing traits into a single plant genotype. Our study induced changes in okra plants using various growth regulators, known to positively influence growth, development, and yield. Through rigorous analysis, we identified key traits correlated with yield and proposed an ideal plant phenotype characterized by reduced plant height, leaf area index, and crude fibre content, alongside increased primary branches, chlorophyll content, and fruits plant-1. This phenotype, with a slower fruit maturity rate, offers longer field-stand and shelf-life and accommodates more plants per unit area. Soil drenching with paclobutrazol at 400 ppm emerges as an effective technique to achieve this ideotype. Our findings provide valuable insights for crop breeders to develop cultivars with desired traits and offer crop physiologists strategies for optimizing plant architecture for enhanced yields. Overall, the proposed ideotype, attainable through simple farming practices, promises a rapid solution for yield maximization in okra cultivation.

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Section: Identifying Traits Relationships and Crop Ideotype Featuresmentioning

confidence: 99%

Multivariate Analysis for Designing Okra Crop Ideotype with Enhanced Yields and Strategy Formulation: A Crop Physiology Perspective

J.,

Nadaradjan,

Shanthi

et al. 2024

J. Adv. Biol. Biotechnol.

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“…La berenjena posee propiedades beneficiosas para la salud, con efectos contra la diabetes, gonorrea, inflamaciones, cólera, gastritis, estomatitis, artritis, bronquitis, problemas hepáticos y hemorroides; además, ayuda a reducir el índice de colesterol en la sangre, y tiene efecto laxante [8] [9] [10] [4]. Por otra parte, los frutos son ricos en fósforo, hierro, potasio, magnesio, calcio, zinc, cobre, manganeso, vitamina B, proteínas, fibra, carbohidratos, fenoles, ácido ascórbico y ácidos grasos [5] [11] [12] [4].…”

Section: Introductionunclassified

Relaciones entre variables en berenjena (Solanum melongena)

Monge-Pérez,

Arguedas-García,

Loría-Coto

2023

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Se calcularon las correlaciones entre diez variables, para dos híbridos de berenjena cultivados bajo invernadero. Las variables evaluadas fueron: ancho de hoja (AH, en cm), número de espinas por hoja (NEH), altura de planta (AP, en cm), longitud de fruto (LF, en cm), diámetro de fruto (DF, en cm), número de espinas en el cáliz (NEC), número de semillas por fruto (NSF), peso del fruto (PF, en g), número de frutos por planta (NFP), y rendimiento (R, en kg/planta). Los datos de las variables AP, NEC y NSF no mostraron una distribución normal; y lo contrario sucedió con las demás variables. Se encontró una correlación de Spearman significativa entre NEC y NEH (r = 0,96*). Se hallaron siete correlaciones de Pearson que fueron significativas, entre las siguientes variables: LF y PF (r = 0,98**), LF y DF (r = 0,95**), PF y R (r = 0,94**), NEH y DF (r = -0,93**), LF y R (r = 0,93**), DF y PF (r = 0,92**), y DF y R (r = 0,85*); en estos casos se obtuvo la ecuación de regresión lineal y su coeficiente de determinación (R2). Dado que PF, LF y DF fueron las únicas variables que mostraron una correlación significativa con R, por lo que se consideran características muy importantes para el proceso de fitomejoramiento en berenjena.

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Assessment of Eggplant (Solanum melongena L.) Genotypes and Selection of Parameters for Better Yield

Abstract: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Cited by 2 publications

References 8 publications

Multivariate Analysis for Designing Okra Crop Ideotype with Enhanced Yields and Strategy Formulation: A Crop Physiology Perspective

Multivariate Analysis for Designing Okra Crop Ideotype with Enhanced Yields and Strategy Formulation: A Crop Physiology Perspective

Relaciones entre variables en berenjena (Solanum melongena)

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