Genetic variability and character association analysis for yield and attributing traits in tomato (Solanum lycopersicum L.) genotypes for protected cultivation

Sinha, Anuradha; Singh, Paramveer; Bhardwaj, Ajay; Kumar, Randhir

doi:10.22271/phyto.2020.v9.i1ai.10772

Cited by 13 publications

(15 citation statements)

References 6 publications

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“…High heritability combined with high genetic advance as percent of mean reflects characters governed by additive genes thus, direct selection for those characters could be rewarding (Poudel et al, 2021). In the present investigation all the traits have shown high heritability (broad sense) i.e., >60% similar to the findings of Hazra et al, (2019). In both sowing conditions high heritability coupled with high genetic advance as % of mean was found in thousand grain weight and Yield/plant.…”

Section: Resultssupporting

confidence: 68%

Genetic Analysis Of Advanced Wheat (Triticum Aestivum L.) Lines Grown Under Different Sowing Conditions

Bhattacherjee,

Hazra,

Hasan

et al. 2023

SFS

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An investigation was made with 50 genotypes to study genetic variability and character association for yield and yield attributing traits under timely and late sown condition and screening of genotypes for spot blotch resistance. All the traits showed high heritability. Of the 12 yield components, only harvest index was correlated positively and significantly with grain yield/plant in both sowing conditions. In timely sown condition highest positive direct effect on Yield/plant was imposed by Days to 50% flowering (3.011) at genotypic level with residual effect R=0.02. In phenotypic path highest positive direct effect on Yield/plant was imposed by Days to 50% heading (0.426) with residual effect R=0.06. In late sown condition highest positive direct effect on Yield/plant was imposed by Days to 50% flowering (0.318) at genotypic level with residual effect R=0.02. In phenotypic path highest positive direct effect on Yield/plant was imposed by Harvest index (0.232) with residual effect R=0.02. MLR analysis revealed Days to 50% flowering in timely sown condition and Days to 50% heading in late sown condition to be most sensitive towards AUDPC in a negative direction. NEST 20-8 performed very well in both the conditions and was moderately resistant against spot blotch.

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Section: Resultssupporting

confidence: 68%

Genetic Analysis Of Advanced Wheat (Triticum Aestivum L.) Lines Grown Under Different Sowing Conditions

Bhattacherjee,

Hazra,

Hasan

et al. 2023

SFS

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“…The second Principal component (PC2) with Eigen value 3.234 accounted for 19.023 % of the total variation and loaded with the traits viz. days to physiological maturity (0.250), days to 50% flowering (0.225), growing degree days (0.363), panicle length (0.152), panicles per plant (0.148), photo thermal index (0.144), plant height (0.116) contributed in positive direction while spikelet fertility (-0.476), grain yield per plant (-0.395), critical temperature for reproductive stage (-0.348), helio-thermal unit (-0.330), photo-thermal unit (-0.165), hear use efficiency (-0.124) contributed negatively to the total Comparable studies and results in rice were obtained by the researchers like Das et al, 2014 andJakhar et al (2018). Table 3 showed that thirty-two genotypes of rice were grouped into six clusters using K-means nonhierarchical clustering.…”

Section: Resultsmentioning

confidence: 82%

Study of genetic diversity in rice (Oryza sativa L.) genotypes under direct seeded condition by using principal component analysis

Kumar¹,

Nilanjaya²,

Shah³

2023

EEC

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The present investigation was carried out to assess the genetic diversity by using principal component analysis for yield and yield contributing traits in thirty-two genotypes of rice under direct seeded condition (DSR). The experiment was conducted at Dr. Rajendra Prasad Central Agricultural University, Pusa, Bihar in randomized block design with three replications. The results revealed that first four component axes had eigen values 1.0, representing a cumulative variability of 76.86 %. Principal component analysis (PCA) indicate that four components (PC1 to PC4) accounted for about 76.86% of the total variation present among all the traits. Out of total principal components PC1, PC2, PC3 and PC4 with values 33.781%, 19.02%, 13.859% and 10.206% respectively, contributed more to the total variation. The first principal component had high positive loading for 15 traits out of 17. Similarly, second and third principal component had 7 traits each, fourth component with 6 traits had high positive loadings which contributed more to the diversity. Genotypes in cluster V showed higher mean performance for most of the yield attributing traits. Therefore, selection of parents for different traits would be effective from this cluster. Thus, result of the present study could be exploited in planning and execution of future breeding programme in rice under direct seeded condition.

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“…Protected Cultivation works with the early foundation of seedlings and nursery plants. This enables farmers to get a head start on the growing season and speeds up crop development [46].…”

Section: ❖ Helps In Early Raising Of Nurserymentioning

confidence: 99%

An Insightful Exploration of Protected Cultivation in Horticultural Crops: A Comprehensive Review

Gautam,

Warang,

Ranganna

et al. 2024

IJECC

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The survey starts by examining various sorts of protected cultivation, encompassing a variety of techniques such as greenhouses, polytunnels, modern nurseries, high passages, and shade houses, as well as their benefits and constraint has emerged as a pivotal component in horticultural practices. It then, at that point, features the significance of protected cultivation in tending to worldwide food security challenges by guaranteeing all year crop creation and decreasing dependence on occasional varieties. This comprehensive review delves into the multifaceted aspects of protected cultivation in horticultural crops, aiming to provide a nuanced understanding of its impact on crop yield, quality, and resource efficiency. The audit further investigates the effect of protected cultivation strategies on the development and advancement of plant crops, including further developed crop morphogenesis, precipitation the board, and the streamlining of natural factors like temperature, moistness, and carbon dioxide levels. Besides, the usage of cutting-edge innovations like aquaculture, aeroponics, and vertical cultivating inside protected cultivation frameworks is inspected, with an accentuation on their true capacity for amplifying crop efficiency while limiting asset utilization. The article synthesizes recent advancements, challenges, and future prospects in this field, shedding light on the dynamic interplay between environmental factors, crop physiology, and technological interventions. By critically evaluating the existing literature, we present a synthesis of knowledge that can inform both researchers and farmers in optimizing protected cultivation for sustainable and resilient horticultural production systems.

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Genetic variability and character association analysis for yield and attributing traits in tomato (Solanum lycopersicum L.) genotypes for protected cultivation

Cited by 13 publications

References 6 publications

Genetic Analysis Of Advanced Wheat (Triticum Aestivum L.) Lines Grown Under Different Sowing Conditions

Genetic Analysis Of Advanced Wheat (Triticum Aestivum L.) Lines Grown Under Different Sowing Conditions

Study of genetic diversity in rice (Oryza sativa L.) genotypes under direct seeded condition by using principal component analysis

An Insightful Exploration of Protected Cultivation in Horticultural Crops: A Comprehensive Review

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