Relationship among phenotypic and quality traits in indigenous and exotic accessions of linseed

Siddiqui, Ameena; Shukla, Sudhir; Rastogi, Anu; Bhargava, Atul; Niranjan, Abhishek; Lehri, Alok

doi:10.1590/s0100-204x2016001200007

Cited by 11 publications

(14 citation statements)

References 13 publications

(20 reference statements)

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“…In this study, the genotypic and phenotypic correlation coefficient was similar in directions, while in magnitude, genotypic correlations were mostly higher than corresponding phenotypic correlations "(Table 3)". The similar results [7], [10], [25] were obtained that genotypic correlation coefficients were higher than their respective phenotypic correlation coefficients for most of the characters. A study by [26], [27] has revealed that genotypic correlations are higher because of environment had a small role in the expression of the traits, which suggests an inherent association between these traits at the genetic level.…”

Section: Resultssupporting

confidence: 77%

“…Other important agronomic traits such as flowering time, plant height, plant branching, and lodging resistance may also indirectly affect yield through various physiological mechanisms [6], [8], allowing crop phenology and plant architecture to be adapted to regional growing conditions, thus avoiding yield and quality losses [9]. Knowledge of association between yield and its attributes obtainable through estimation of genotypic and phenotypic correlation helps to formulate plant breeding strategies to develop suitable genotypes [10], [11]. The positive correlation between major yield components, breeding strategies would be very effective but on the reverse, selection becomes very difficult [12].…”

Section: Introductionmentioning

confidence: 99%

“…The resistance of plants to lodging, length of growth stages of flax were evaluated [17]. The harvest index (HI) was calculated in percentage as the ratio of seed yield to plant weight after plant maturity [10].…”

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confidence: 99%

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The Evaluation of Yield and Agronomic Traits of Flax Genotypes Under Latvian Conditions

Stafecka¹,

Stramkale²,

Kroica³

et al. 2019

ETR

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This study aim was evaluated of flax genotypes regarding productivity, resistance to lodging and diseases as well as yield dependence relationships among phenotypic and quality traits. The 14 fibre flax genotypes were evaluated in field conditions on the background of natural infection from 2014 to 2018 for agronomically important traits and from 2015 to 2018 for occurrence diseases of flax. The data were recorded for the 15 following agronomic traits, such days to flowering, days to early yellow ripening stage, total plant height, technical height, stem yield, fibre content, 1000 seed weight, vessels per plant, harvest index, seed yield, oil content, resistance to lodging and fungal diseases during early yellow ripening stage. Genotypic and phenotypic correlations between yield and yield components were identified that total plant height, technical height and days to early yellow ripening stage played a major role on stem yield as well vessels per plant and harvest index on seed yield. The flax genotypes ‘Vilani’, ‘L26-1’, ‘K9-1’, ‘T36-1’, ‘S37-1’ exhibited significant highest stem yield ranging from 643.20 to 693.32 g m-2 and technical length ranging from 65.90 to 70.58 cm comparing to standard variety ‘Vega 2’. The most perspective genotype of ‘Vilani’ with quit low susceptibility to anthracnose, pasmo and powdery mildew and resistance to lodging was identified.

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Section: Resultssupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Evaluation of Yield and Agronomic Traits of Flax Genotypes Under Latvian Conditions

Stafecka¹,

Stramkale²,

Kroica³

et al. 2019

ETR

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“…Few reports are available about the direct and indirect effects of various oil quality traits. Chauhan et al (2008) who reported high to moderate negative effects of palmitic, stearic, oleic, linoleic, linolenic and eicosenoic on erucic acid in Indian mustard varieties, and Siddiqui et al (2016) who reported the direct and indirect effect of various quantitative traits on oil quality traits in linseed. From the path analysis for genotypic correlation of OY with agro-morphological and oil traits (Table 5), it was revealed that small positive direct effect was observed for most of the traits that could be due to a weaker correlation of causative traits on OY (the effect).…”

Section: Resultsmentioning

confidence: 99%

Association of Agro-Morphological and Oil Traits in Groundnut (Arachis hypogaea L.) Cultivars

Yusuf

Zeleke

Mohammed

et al. 2018

J. Plant Breed. Genet.

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The associations between the traits of interest in plant breeding are commonly evaluated by means of phenotypic, genotypic and environmental correlations, and through path coefficient analysis that shows direct and indirect cause and effect relationship. Sixteen groundnut genotypes (including local check) were evaluated for quantitative parameters. The crop was sown during 2015 wet season across four locations in Ethiopia. The experiment was laid out in Randomized Complete Block Design (RCBD) with two replications. The results indicated that genotypic correlations were higher than the phenotypic and environmental ones. The grain yield (kg/ha) has presented positive and significant genetic correlation with PWP, SWP and 100SW. Genetic correlations of oil content with agro-morphological traits and oil quality parameters were shown that oil content was significant and positively correlated with pod weight per plant (PWP) and seed weight per plant (SWP) showing that possibility of indirect selection for oil content through these traits. The path analysis based on genotypic correlation in the present study was shown that selection for oil content trait is effective through OY, GY, NMP and NSPOD; breeding for TPUS/TS trait is effective through selection for high oil content, NMP, PWP, AGBP, O/L ratio, and NSP traits. Furthermore, the path analysis has shown that breeding for high O/L ratio can be conducted through selection for AGBP, NSPOD, NSP, oil content, TPUS/TS or oleic acid traits; likewise breeding for oil yield (OY) can be conducted via selection for oil content, NSP, AGBP, NBP or TPUS/TS.

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“…Path analysis, also known as standardized partial-regression coefficient, partitions the correlation coefficients into direct and indirect effects and thereafter allows the separation of direct influence of each trait on yield from the indirect effects caused by mutual association among the traits themselves (Garcia del Morel et al, 2003). In agriculture, path analysis has been extensively used by breeders to assist in the identification of traits that are useful as selection criteria to improve crop yield (dos Santos et al, 2014;Mihretu et al, 2014;Sincik and Goksoy, 2014;Ranjbar et al, 2015;Khan et al, 2016;Siddiqi et al, 2016). Although considerable literature is available on correlation and path analysis in other foliage crops (Kaul et al, 1996;Young et al, 2000;Carpici and Celik 2010;Abel et al, 2017), a limited amount of work has been conducted in Chenopodium spp.…”

Section: Introductionmentioning

confidence: 99%

Genetic Association between Foliage Yield and Contributing Traits in Vegetable Chenopods: Implications for Genetic Improvement

Bhargava

Fuentes

Shukla

et al. 2018

Not Bot Horti Agrobo

Self Cite

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A two-year study was conducted to evaluate the foliage yield potential in 13 germplasm lines of Chenopodium album for 3 successive cuttings. Correlations among foliage yield and its contributing traits, along with path analysis was also worked out. Foliage yield was maximum for C. album IC 107297, followed by C. album H.P. and C. album amaranticolor. The genotype × year interaction was non-significant for all the traits except stem diameter and moisture content. Leaf size, plant height and stem diameter showed significant positive correlation with foliage yield both at phenotypic and genotypic levels in all the cuttings. Chlorophyll a and chlorophyll b showed positive association with carotenoid content and negative association with ascorbic acid in all the cuttings as well as on pooled basis. Significant negative association was observed between leaves/plant and foliage yield at genotypic level in all the cuttings (Ist cutting: -0.472*; IInd cutting: -0.414*; IIIrd cutting: -0.480*) as well as on pooled basis (-0.591**). Protein content negatively affected foliage yield in all the cuttings. Fibre content had high negative value of direct path for pooled data but positively influenced foliage yield indirectly via leaves/plant, stem diameter, chlorophyll a, chlorophyll b and protein content. Ascorbic acid positively affected yield in Ist cutting as well as on pooled basis. Leaf size had high positive direct effect and significant positive association with foliage yield that indicates a true relationship between these traits. Leaf size also indirectly affected foliage yield in a positive direction through majority of other traits. Thus, direct selection for leaf size should be exercised to bring about improvement in foliage yield in C. album.

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Relationship among phenotypic and quality traits in indigenous and exotic accessions of linseed

Cited by 11 publications

References 13 publications

The Evaluation of Yield and Agronomic Traits of Flax Genotypes Under Latvian Conditions

The Evaluation of Yield and Agronomic Traits of Flax Genotypes Under Latvian Conditions

Association of Agro-Morphological and Oil Traits in Groundnut (Arachis hypogaea L.) Cultivars

Genetic Association between Foliage Yield and Contributing Traits in Vegetable Chenopods: Implications for Genetic Improvement

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