Genetic Association Analysis and Selection Indices for Yield Attributing Traits in Available Chilli (&lt;i&gt;Capsicum annuum&lt;/i&gt; L.) Genotypes

Hasan, Rokib; Akand, Matin; Alam, Nazmul; Bashar, Abul; Huque, Amdadul

doi:10.5376/mpb.2016.07.0019

Cited by 5 publications

(8 citation statements)

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“…Days to ripe fruit maturity from anthesis was significantly but negatively correlated (r = -0.597**) with dry fruit yield/plant and days to 50% flowering was negatively correlated with dry fruit yield/plant. These results corroborated with the findings of earlier researchers (Rana et al, 2015, Elahi et al, 2017, Hasan et al, 2016and Maurya et al, 2017c indicating that early flowering and ripe fruit maturity leads to high dry fruit yield/plant. Seeds/fruit and 1000 seed weight were most contributing characters towards increased fruit weight as they were positively and significantly correlated with fruit weight and this result was supported by Chowdhary and Samadia (2004) and Sarkar (2006).…”

Section: Character Associationshipsupporting

confidence: 92%

Selecting Parental Lines among Genotypes of Capsicum annuum for Hybridization Aiming at Dry Fruit Yield Improvement

Sreenivas¹,

Sharangi²,

Banerjee³

et al. 2019

Int.J.Curr.Microbiol.App.Sci

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Increased productivity of dry chilli with appreciable fruit quality is the present need in major growing areas to promote export from our country. The present investigation was undertaken to identify important selection indices, and to analyze the genetic divergence of collected germplasm for identification of diverse parents for spice chilli hybridization program. Different components of genetic variability for 15 growth and yield component traits were determined employing 45 genotypes evaluated in autumn-winter season of 2015-16 in Randomized Block Design with three replications. High GCV and PCV values were recorded for all the characters except days to 50% flowering, days to ripe fruit maturity from anthesis and 1000 seed weight. The proportion of genetic contribution to the overall phenotypic expression of most of the traits was very high. Both heritability and genetic advance was high for all the characters under study except days to ripe fruit maturity from anthesis, revealing additive genetic control of characters. Selection would be most useful for the improvement of these traits. Dry fruit yield/plant was found positively and significantly correlated with all the traits except days to 50% flowering and days to ripe fruit maturity from anthesis. Path coefficient analysis indicated that the maximum direct effect on dry fruit yield/plant was through ripe fruit yield/plant followed by dry fruit weight. From the combing study of correlation and path coefficient, the characters, namely ripe fruit yield/plant and dry fruit weight were the most important selection criteria, emphasis should be given on such traits while imposing selection for amenability in dry fruit yield of chilli. Based on the determination of divergence all the genotypes were grouped into 7 clusters. However, random grouping pattern of genotypes was observed indicating that geographical diversity and genetic divergence were unrelated. The intra-and inter-cluster distance among the genotypes depicted that crossing between the genotypes belonging in Cluster I and VII or Cluster III and VII will be expected to give high heterotic response in F 1 generation. The character fruit length contributed the maximum towards genetic divergence followed by fruit diameter, fruits/plant and plant spread (N-S). Based on D 2 Statistics, PCA and mean performance, six genitors Beldanga, BCCH Sel-4, G-4, BCC-30, BCC-25, and Srinagar possessed the optimum combination of all variables and were identified as most promising donor parents in dry chilli hybridization programme with a view to develop promising hybrids/improved lines.

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Section: Character Associationshipsupporting

confidence: 92%

Selecting Parental Lines among Genotypes of Capsicum annuum for Hybridization Aiming at Dry Fruit Yield Improvement

Sreenivas¹,

Sharangi²,

Banerjee³

et al. 2019

Int.J.Curr.Microbiol.App.Sci

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“…The value of selection index is determined by setting the weighting of each character according to its economic value (Cui et al 2020). The determination of selection characters and character's weighting coefficient can use multivariate analysis (Sabouri et al 2008;Hasan et al 2016;Kose et al 2018;Anshori et al 2019;Fadhli et al 2020;Farid et al 2021). Multivariate analysis can be used for multi variables so interpretation can be done easier (Janmohammadi et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Agronomic and yield selection of doubled haploid lines of rainfed lowland rice in advanced yield trials

et al. 2021

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Abstract. Akbar MR, Purwoko BS, Dewi IS, Suwarno WB, Sugiyanta, Anshori MF. 2021. Agronomic and yield selection of doubled haploid lines of rainfed lowland rice in advanced yield trials. Biodiversitas 22: 3006-3012. Selection process is important step to obtain high yielding variety. This study aimed to obtain information on agronomic performance of doubled haploid lines of rainfed rice in advanced yield trials and select the best lines for multi-location yield trials. Two experiments were conducted in Bogor and Subang using a randomized complete block design for each location and consisted of 35 doubled haploid lines and two check varieties namely Ciherang and Inpari 18 as a treatment. The result revealed that interaction between genotype and environment (G x E) significantly affected all agronomic characters, except on the panicle length. Characters with high heritability value were all agronomic characters except number of productive tillers and productivity. Genotypic correlation analysis showed that number of productive tillers and weight of 1000 grains had significant and positive correlation with productivity. The selection used weighted selection index based on multivariate analysis. Fourteen lines were selected for multi-location yield trials. These lines had characteristics as follows: number of productive tillers (14.0-17.7 tillers), weight of 1000 grains (24.7-32.5 g), and productivity (5.0-6.2 ton ha-1). The selected lines can be evaluated further to obtain superior lines in multi-location trials.

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“…Productivity characters displayed as highly polygenic, and the environment also strongly influenced the stability of potential lines, especially in the early generations (Fritsche-Neto and DoVale, 2012; Kassahun et al, 2013;Faot et al, 2019). Therefore, the use of several characters related to productivity ascertained the best solution in the mutant lines selection, with the said concept reported in the soybean (Kachhadia et al, 2014;Teixeira et al, 2017;Bizari et al, 2017), chili (Hasan et al, 2016), sunflower (Kose et al, 2018), rice (Akbar et al, 2019;Anshori et al, 2021;Akbar et al, 2021), and maize (Fadhli et al, 2020).…”

Section: Discussionmentioning

confidence: 93%

Selection and Validation of M4 Soybean Mutant Lines Through Multicharacters Approach

LESTARI¹,

YUNITA²,

ANSHORI³

2022

SABRAOJBG

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Mutation breeding is more effective than conventional breeding when the existing breeding material has a narrow genetic base and the scarcity of germplasm to specific desired characters. Assembling superior soybean cultivars through mutation breeding requires an effective selection method since the selection for productivity only proved less effective. Therefore, the selection base needs to be broad and use multi-characters. The latest study aimed to analyze the effectiveness of the multi-characters approach in the selection and validation process of M4 soybean mutant lines. This study evaluated M4 and M5 mutant lines for various traits at the Citayam and Muara Experimental Garden, Bogor, Indonesia. The M4 and M5 mutant evaluations used an augmented design with 121 experimental units (172 lines and four check cultivars) and a randomized complete block design with 99 experimental units (29 lines and four check cultivars), respectively. Measured variables included the number of branches, filled pods, empty pods, and productive internodes, the weight of 100 seeds, and the seed weight per sampling plot. The result showed that the correlated multi-characters were effective for selection in the soybean mutant lines. The most effective secondary character resulted from the number of filled pods. Measuring the selection effectiveness continued up to the fifth generation (M5) to further validate the selected material. In total, nine mutant lines, i.e., A182-13, A179-1, A220-156, A196-57, A186-27, A190-38, A180-6, A195-50, and A188-32, attained selection with significant genetic potential for further study through the yield test.

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Genetic Association Analysis and Selection Indices for Yield Attributing Traits in Available Chilli (<i>Capsicum annuum</i> L.) Genotypes

Cited by 5 publications

References 1 publication

Selecting Parental Lines among Genotypes of Capsicum annuum for Hybridization Aiming at Dry Fruit Yield Improvement

Selecting Parental Lines among Genotypes of Capsicum annuum for Hybridization Aiming at Dry Fruit Yield Improvement

Agronomic and yield selection of doubled haploid lines of rainfed lowland rice in advanced yield trials

Selection and Validation of M4 Soybean Mutant Lines Through Multicharacters Approach

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