Using Augmented Design for Evaluation of Common Bean  (Phaseolus vulgaris L.) Germplasm

Saba, Iram; Sofi, Parvaze A.; Zeerak, N.A.; Mir, Reyazul Rouf; Gull, Musharib

doi:10.20546/ijcmas.2017.607.029

Cited by 16 publications

(23 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, the mean square due to checks v/s Augmented (genotypes) was significant for all the traits except days to 50% flowering, indicating thereby that the test entries were significantly different from the checks except for days to 50% flowering. Similar findings were observed by Sajad et al, (2014); Iram Saba et al, (2017). In addition to above, the paired t test was estimated to compares the means of two paired groups, to understand the whether there was a difference in mean of traits after two year of germplasm evaluation under open filed condition.…”

Section: Analysis Of Variance For Nine Quantitative Traitssupporting

confidence: 58%

Assessment of Genetic Variability, Diversity and Trait Correlation Analysis in Common Bean (Phaseolus vulgaris L.) Genotypes

Basavaraja

Manjunatha

Chandora

et al. 2020

View full text Add to dashboard Cite

The present investigation was undertaken to study the genetic variability, diversity through cluster analysis and correlation among yield attributing traits. The experimental material is comprised of 63 diverse germplasm accessions including three check varieties were evaluated in augmented design during Rabi 2015-16 at IIPR, Kanpur. In this study, totally nine traits, namely, days to fifty per cent flowering (DF), days to maturity (DM), plant height (PH), number of branches per plant (NBP), number of pods per plant (NPP), pod length (PL), seeds per pod (SPP), 100 seeds wt (g) (HSW) and seed yield per plant (g) (SYP) were recorded. The results exhibited that the analysis of variance noticed significant differences among the genotypes for all characters studied. The genetic variability parameter showed that phenotypic coefficient of variation (PCV) were higher than those of genotypic coefficient of variation (GCV) for all the traits studied. Higher GCV coupled with heritability and genetic advance as % mean was recorded for PH, NPP, HSW and SYP. Likewise, high heritability coupled with high genetic advance as % mean was recorded in DF, PH, NPP, PL, HSW and SYP. Trait association study revealed that the seed yield per plant exhibited significant positive correlation with NBP, NPP, NSP and HSW. In the same pattern, Euclidian clustering analysis displays 63 genotypes were grouped to two major clusters. From this investigation, it was observed that all genotypes showed sufficient genetic variability for the traits studied. The genotype such as EC400414, EC400398, ET8415 and EC540173 were superior to check varieties in terms of morphological and other agronomic traits. These genotypes could be utilized in breeding programme for improvement of specific traits.

show abstract

Section: Analysis Of Variance For Nine Quantitative Traitssupporting

confidence: 58%

Assessment of Genetic Variability, Diversity and Trait Correlation Analysis in Common Bean (Phaseolus vulgaris L.) Genotypes

Basavaraja

Manjunatha

Chandora

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The significant differences among the blocks for days to flowering, days to maturity, plant height and number of grains per panicle may be attributable to the planting pattern of genotypes in which the early maturing and semi-dwarf genotypes were transplanted in first 6 blocks while the late maturing and tall genotypes were transplanted in next 6 blocks for effective crop management. Similar results were reported by Paswan et al, [8]; Madhukar et al, [6]; Saba et al, [9]; Longjam and Singh [10] for significant differences among block for some of the trait and non-significant error variance. The ample amount of inherent genetic variability in the studied genotypes could be exploited for effective selection of desirable traits in further breeding programmes.…”

Section: Analysis Of Variance (Anova)supporting

confidence: 89%

Assessment of Genetic Parameter of Variability and Heritability based on Morphological Traits and Disease Parameters for Brown Spot in Rice (Oryza sativa L.)

Banshidhar¹,

Jaiswal²,

Kumar³

et al. 2021

IJPSS

View full text Add to dashboard Cite

Cochliobolus miyabeanus is a serious threat to the standing rice crop in context of production and productivity as it results in loss of both grain quality and yield. The pathogen causes brown spot disease in rice which had resulted in two severe famines in past. Hence, in this regard it is imperative to search for new and diverse resistance sources and to evaluate them with respect to genetic variability and inherent genetic potential for various morphological traits including yield and yielding attributing traits and disease estimating parameters for identifying high yielding diverse resistant lines that could be utilized in future breeding programmes aimed at development of superior cultivars against brown spot disease. Keeping this in view this study was conducted at Rice Research Farm, RPCAU, Pusa to evaluate 300 genotypes for rice for various morphological traits and disease estimating parameters along with three checks for disease response in augmented design. All the recommended package of practices was followed along with necessary prophylactic plant protection measures to raise a good crop. Data on different traits and parameters under study were recorded and analysed biometrically to assess the genetic parameter of variability and heritability. The ANOVA showed significant difference among the genotypes for most of the traits and parameters under study which reflects ample amount of variability among the genotypes. Further, the smaller difference between GCV and PCV and higher estimates of heritability and genetic advance as percentage of mean revealed higher percentage of inherent genetic potential in overall variability. The higher estimates of heritability and genetic advance as percent of mean for grain yield per plant and AUDPC suggested that the resistant lines identified in this study can be easily advanced through generation following phenotypic selection for derivation of high yielding resistant lines.

show abstract

“…One of the most important breeding objectives in common bean is to minimize grain yield loss arising from environmental stresses. However, a direct selection exclusively based on the grain yield has not achieved very encouraging gains because of the complexity of its nature as well as its low heritability, a major bottleneck for crops improvement (Saba et al., 2017). Gaining knowledge of relationships between grain yield and other plant traits with less genetic complexity under a given stressful condition can provide indirect selection criteria towards improved performance and avoid attributes with little breeding values.…”

Section: Discussionmentioning

confidence: 99%

A field study on common bean (Phaseolus vulgaris) response to Tetranychus urticae herbivory

et al. 2021

View full text Add to dashboard Cite

The bean farms in Iran are increasingly suffering from two‐spotted spider mite (TSSM) herbivory, which is intensified with the gradual increase in temperature and decrease in relative humidity coinciding with the flowering time in the common bean. Limited genetic variability for resistance to TSSM is a major bottleneck in the development of resistant common beans. Hence, this study aimed to evaluate the response of a diverse panel of 104 common bean genotypes to TSSM infestation during reproductive stages. The experiment was conducted in the form of an augmented randomized complete block design under TSSM‐infested and non‐infested conditions. The less susceptible genotypes had more grain yield, number of pods, plant height and leaf chlorophyll content, but also, they showed less reduction in these traits under TSSM herbivory condition relative to the more susceptible genotypes. The spider mite laid more eggs on the leaves of more susceptible beans creating a negative density dependence condition, while there was a greater nutritional contribution per adult mite on the leaves of less susceptible common beans. Variance components estimation highlighted grain yield, number of pods, plant height and 1,000‐grain weight of the common bean with the higher genotypic variances compared to environmental variances. The findings provide a phenotypic screening procedure of common bean to determine the main plant traits contributing to genetic TSSM resistance under field conditions. This study concludes that pole‐type genotypes of common bean would tolerate the mite feeding more than bush‐type genotypes during reproductive stages.

show abstract

Using Augmented Design for Evaluation of Common Bean (Phaseolus vulgaris L.) Germplasm

Cited by 16 publications

References 7 publications

Assessment of Genetic Variability, Diversity and Trait Correlation Analysis in Common Bean (Phaseolus vulgaris L.) Genotypes

Assessment of Genetic Variability, Diversity and Trait Correlation Analysis in Common Bean (Phaseolus vulgaris L.) Genotypes

Assessment of Genetic Parameter of Variability and Heritability based on Morphological Traits and Disease Parameters for Brown Spot in Rice (Oryza sativa L.)

A field study on common bean (Phaseolus vulgaris) response to Tetranychus urticae herbivory

Contact Info

Product

Resources

About