Assessment of Genetic Divergence in Brinjal (Solanum melongena L.) Genotypes

Arti, Divya; Sharma, Aarti; Kumar, Ramesh

doi:10.20546/ijcmas.2018.709.319

Cited by 2 publications

(4 citation statements)

References 7 publications

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“…Similar finding was earlier also reported by Arti et al (2019). However, fruit weight exhibited high positive direct effect (0.565) on total yield per hectare but moderate negative indirect effect through fruits per plant (-0.206).…”

Section: Path Coefficient Analysissupporting

confidence: 90%

“…The effects of different independent traits, both individually and in combination with other characters, on the expression of different characters on marketable fruit yield per plant were shown using path coefficient analysis in table 3. Plant height, calyx length, days to first flower, fruit diameter and fruit length showed negligible direct and indirect effect on total yield per hectare through other traits which was inconformity with the investigation outcome of Madhavi et al (2015), Arti et al (2019) and Nikitha et al (2020). Number of primary branches exhibited low positive direct effect (0.113) but negligibleindirect effect through other traits on total yield per hectare which wasin conformity with the finding of Nikitha et al (2020).…”

Section: Path Coefficient Analysiscontrasting

confidence: 43%

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Evaluation of some promising indigenous brinjal genotypes under terai region of West Bengal

Biradar,

Dumi,

Sikder

et al. 2023

ECJ

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Present experiment was implemented under the Department of Vegetable and Spice Crops, Uttar Banga Krishi Viswavidyalaya, Coochbehar which situated at terai region of West Bengal during the autumn-winter season of 2019-20 and 2020-21 on 28 highly diversified brinjal genotypes on ten highly important yield and yield attributing traits to assess the extent of involvement of different genetic phenomena in manifestation of important yield related traits and to understand the inter relationship among them to design better selection criteria. Result revealed that there was close proximity in the magnitude among the component of coefficient of variation and these component exhibited high estimates coupled with high heritability for almost all the characters excepting days to first flowers and days to fruit maturity indicated less interference of the environmental factors in the manifestation of these traits. High magnitude of heritability coupled with genetic advance of mean for those character suggested possibility for selecting these characters based on phenotypic performance for further improvement at desired direction. Residual effect from path analysis was 0.1367 at genotypic level which suggested that contribution of the traits under study was approximately 86.5% on yield, argued for appropriate selection of traits for success of present experimental study. From character associationship and path coefficient it was found that expected yield was highly correlated in positive direction with average fruits per plant (0.68 and 0.801), average fruit weight (0.48 and 0.565), numbers of primary branches per plant (0.51 and 0.113); hence, these yield attributing traits were significantly positively related with each other which suggested that simultaneous selective breeding strategy considering these characters for improvement of yield could be rewarding due to their probable conditioning by additive gene action.

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Section: Path Coefficient Analysissupporting

confidence: 90%

Section: Path Coefficient Analysiscontrasting

confidence: 43%

Evaluation of some promising indigenous brinjal genotypes under terai region of West Bengal

Biradar,

Dumi,

Sikder

et al. 2023

ECJ

View full text Add to dashboard Cite

show abstract

“…depressum, cuyos frutos son enanos [5]. Existe una amplia variedad de colores, formas y tamaños de sus frutos [6], los cuales se consumen hervidos, al vapor, deshidratados, o cocidos con diferentes tipos de carne, entre otros [7] [4].…”

Section: Introductionunclassified

“…El rendimiento es un carácter cuantitativo de naturaleza compleja, controlado por muchos genes, y que depende de las interacciones de muchos factores con el ambiente [14] [9] [1]. El éxito de cualquier programa de fitomejoramiento depende de la existencia de variabilidad genética en la población base, y de la eficiencia de la selección; para una selección eficaz es necesario estudiar la naturaleza de la asociación del carácter de interés con otros caracteres relevantes, y también la variabilidad genética disponible [6] [15] [9]. La herramienta estadística del coeficiente de correlación indica el grado y dirección de la asociación entre variables dependientes e independientes [16] [17] [11] [18] [1].…”

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 Genetic Divergence in Brinjal (Solanum melongena L.) Genotypes

Cited by 2 publications

References 7 publications

Evaluation of some promising indigenous brinjal genotypes under terai region of West Bengal

Evaluation of some promising indigenous brinjal genotypes under terai region of West Bengal

Relaciones entre variables en berenjena (Solanum melongena)

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