Interrelationship between Yield and its Contributing Traits  in Wheat (Triticum aestivum L)

Verma, Samar Pratap; Pathak, VN; Verma, O.P.

doi:10.20546/ijcmas.2019.802.375

Cited by 24 publications

(19 citation statements)

References 4 publications

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“…Among the inter se associations the magnitude of correlation coefficient of grain yield with harvest index and biological yield was maximum and positive followed by correlation of spike length with number of spikelets per spike (Table 3). Similar results were also observed by Verma et al, 2019, Khanal et al, 2020, Rathod et al, 2020and Jan et al, 2020 The path coefficient analysis showed that biological yield and harvest index exhibited maximum positive direct effect on grain yield in both the environments. The number of tillers per plant, spike length and flag leaf area contributed indirectly towards grain yield via biological yield and harvest index (Table 4 and Table 5).…”

Section: Resultssupporting

confidence: 83%

“…The number of tillers per plant, spike length and flag leaf area contributed indirectly towards grain yield via biological yield and harvest index (Table 4 and Table 5). Similar results was also observed by Verma et al, 2019, Baye et al, 2020and Upadhyay, 2020 The divergence analysis showed that all the forty genotypes were grouped into seven clusters in environment I and six clusters (Environment II). Maximum number of genotypes was grouped into cluster V (Environment I) and clusters I (Environment II).…”

Section: Resultssupporting

confidence: 83%

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Assessment of Genetic Diversity and Character Associations for Yield and Its Traits in Bread Wheat (Triticum aestivum L.)

Kumar¹,

Chand²,

Thapa³

et al. 2021

IJARe

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Background: Wheat (Triticum aestivum L.) an important self-pollinated and hexaploid (2n = 6x = 42) cereal crop belongs to the grass family Gramineae (Poaceae). With the gradual increase in human population, there is a substantial increase in the demands for food requirements. Hence, increasing the wheat production is an important goal to overcome the demand of food. The only alternative is to increase productivity by better crop management techniques and introduction of high yielding varieties. The current study aimed to study the genetic diversity in wheat genotypes for further selection and utilization in breeding programmes and identification of transgressive segregants for genetic improvement in wheat crop. Methods: In the field investigation during 2017-2019, forty genotypes were evaluated at research farm of Department of Genetics and Plant Breeding, Kisan P.G. College, Simbhaoli, Hapur (U.P). The observations were recorded on five randomly selected competitive plants from each genotype in each replication and recorded data from each replication was subjected to statistical analysis. Result: Significant differences were observed for all the characters studied in both environments (early and late). Highest GCV and PCV were recorded for flag leaf area, number of tillers per plant and grain yield in both environments. Plant height, days to 50% heading and grain yield in early sowing and for plant height, gluten content and grain yield exhibited high heritability estimates in late sowing. Biological yield and harvest index showed positive and significant association with grain yield under both environments. Biological yield and harvest index have positive and direct effect on grain yield in both environments. Forty genotypes were grouped into seven clusters in early sowing and six clusters in late sowing. Maximum inter cluster distance was observed between clusters VI and IV in early sowing and between cluster III and II in Late sowing. Genotypes PBW-34 showed wide genetic diversity in both the environments (early and late sowing). Based on the divergence studies it is suggested that maximum heterosis and good recombinants could be obtained in crosses between the genotypes of clusters which showed highest inter cluster distance and these genotypes can be utilized in crop improvement programmes.

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Section: Resultssupporting

confidence: 83%

Section: Resultssupporting

confidence: 83%

Assessment of Genetic Diversity and Character Associations for Yield and Its Traits in Bread Wheat (Triticum aestivum L.)

Kumar¹,

Chand²,

Thapa³

et al. 2021

IJARe

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“…This was expected because the association of grain yield is positive with the test weight and 1000 kernel weight, while it is negative with quality traits as the angle between the vectors in the PCA shows their approximate correlation [38]. The significant positive relationship between 1000 kernel weight and grain yield has been reported previously [39]. Also, for the selection of high yielding wheat varieties, 1000 kernel is often used as it is closely related to grain yield [40].…”

Section: Principal Component Analysis For Nine Agronomical and Quality Traits In Six Different Environmental Conditionsmentioning

confidence: 91%

Characterization of Agronomical and Quality Traits of Winter Wheat (Triticum aestivum L.) for Fusarium Head Blight Pressure in Different Environments

2021

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For food security, it is essential to identify stable, high-yielding wheat varieties with lower disease severity. This is particularly important due to climate change, which results in pressure due to the increasing occurrence of Fusarium head blight (FHB). The objective of this study was to evaluate the stability of winter wheat (Triticum aestivum L.) grain yield under different environmental conditions. Twenty-five winter wheat varieties were evaluated under two treatments (naturally-disease infected (T1) and FHB artificial stress (T2)) during two growing seasons (2018–2019 to 2019–2020) in Osijek and in 2019–2020 in Tovarnik. The interaction between varieties and different environments for grain yield was described using the additive main-effects and multiplicative interaction (AMMI) effects model. The Kraljica and Fifi varieties were located near the origin of the biplot, thus indicating non-sensitivity to different environmental conditions. Principal component analysis (PCA) was used to understand the trait and environmental relationships. PC1 alone contributed 42.5% of the total variation, which was mainly due to grain yield, 1000 kernel weight and test weight in that respective order. PC2 contributed 21.1% of the total variation mainly through the total sedimentation value, test weight, wet gluten and protein content ratio (VG/P) and wet gluten content, in descending order.

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“…of effective tillers/plant and seed index which was in accordance with . Verma et al (2019) reported a direct and significant positive effect on yield/plant by biological yield/plant followed by harvest index, days to 50% flowering, test weight and tillers/plant. Character association studies in Bread wheat genotypes yield/plant displayed negative phenotypic correlation (-0.6445) with canopy temperature resulted due to its direct negative effect (-0.3656) and a considerable indirect effect via relative water content (-0.0828), no.…”

Section: Character Association Under Early Sown Conditionmentioning

confidence: 98%

Character association studies in Bread wheat genotypes for early heat tolerance and grain micronutrient content

Parveen¹,

Singh²,

Singh³

et al. 2021

ECJ

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Thirty bread wheat genotypes were tested by adopting Randomized Block Design with three replications during 2019-20, under two different environments, i.e. early and timely sown conditions. The ultimate goal was to determine the relationship between yield and yield contributing traits and classify traits that have the highest direct and indirect effects on grain yield under both environmental circumstances. Grain yield was positively and significantly correlated with no. of tiller/plant, no. of grains/spike, relative water content, spike fertility, harvest index, grain zinc content and chlorophyll content at the level of both genotype and phenotype; conversely, found significantly negative with canopy temperature and non-significant with days to 50 % flowering and seedling length. Under stress condition, the correlation for grain yield/plant was found significant, and it was correlated positively with no. of tiller/plant, spike fertility, relative water content, harvest index and grain zinc content and non-significantly with seedling length, no. of grain/spike, chlorophyll content, flag leaf area and thousand-grain weight. At the level of both genotype and phenotype, grain yield per plant had a high direct effect in the positive direction by harvest index followed by no. of tiller/plant, no. of grain/spike, relative water content. Thus, more weightage should be given towards these traits as selecting these traits can be rewarding to achieve high yielding wheat genotypes.

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Interrelationship between Yield and its Contributing Traits in Wheat (Triticum aestivum L)

Cited by 24 publications

References 4 publications

Assessment of Genetic Diversity and Character Associations for Yield and Its Traits in Bread Wheat (Triticum aestivum L.)

Assessment of Genetic Diversity and Character Associations for Yield and Its Traits in Bread Wheat (Triticum aestivum L.)

Characterization of Agronomical and Quality Traits of Winter Wheat (Triticum aestivum L.) for Fusarium Head Blight Pressure in Different Environments

Character association studies in Bread wheat genotypes for early heat tolerance and grain micronutrient content

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