Genetic variability and correlation studies in some drought-resistant sunflower (Helianthus annuus L.) genotypes

Yankov, B.; Tahsin, Nurettin

doi:10.5513/jcea01/16.2.1611

Cited by 9 publications

(8 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…According to Pandya et al (2015), oil content showed negative non-significant correlation with days to maturity, stem diameter, number of leaves per plant, plant height, and 100 seed weight. Yankov & Tahsin (2015) found negative but not significant correlation between oil content and head diameter while positive correlation was found between oil content and plant height. These authors concluded that seed yield could be increased by selection of plant height, stem diameter and number of seeds, because they had a high positive correlation with seed yield and they also showed high heritability.…”

mentioning

confidence: 70%

A study of correlations and path analyses of some traits in sunflower parental lines

Radić¹,

Balalić²,

Jačimović³

et al. 2021

Ratar i povrt

View full text Add to dashboard Cite

The trial in this study was carried out in field conditions throughout three years from plots where seed production of sunflower parental lines was established. Eight genotypes were examined; namely RHA-UK, RHA-ST-59, RHA-SES-IMI, RHA-SNRF, RHA-E-ANN-65, RHA-RU-3, RHA-CDN, and RHA-N-M-1. All the examined genotypes are parental components of the best sunflower hybrids developed by the Institute of Field and Vegetable Crops, Novi Sad, Serbia. Relationships between seed yield and eight different traits in sunflower were studied - oil and protein content, seed germination, 1000-seed weight, head diameter, number of branches and leaves and plant height. The same analyses were carried out for comparison of oil content. A highly significant positive correlation was determined between plant height and number of branches; plant height and the number of leaves; plant height and head diameter; plant height and seed yield; number of branches and yield; the number of leaves and yield; head diameter and seed yield; number of leaves and number of branches; number of leaves and head diameter and between seed germination and oil content. Path analysis indicated highest significant direct effect of plant height on yield (0.439**). The number of branches had a significant positive direct effect on yield (0.260*). In the study of indirect effects on yield, thirteen significant effects were determined. The study of direct effects on oil content showed that the plant height and number of leaves diameter had high significant effects (0.800** and -0.847**). The existence of indirect significant effects on oil content was determined in nine cases.

show abstract

mentioning

confidence: 70%

A study of correlations and path analyses of some traits in sunflower parental lines

Radić¹,

Balalić²,

Jačimović³

et al. 2021

Ratar i povrt

View full text Add to dashboard Cite

show abstract

“…About 10% of the world's annual sunflower production is destined for non-oil purposes, this demand being met by confectionery genotypes that are characterized by having greater stature of larger plants and seeds with lower oil contents and higher protein contents (HlADNI et al, 2011). Height of plants is one of the most important characters for confectionery sunflower genotypes (PEKCAN et al, 2015;HlADNI et al, 2016), as it correlates with characters such as stem diameter, number of leaves, chapter diameter, seed yield per plant and oil and protein contents (PIVETTA et al, 2012;YANKOV & TAHSIN, 2015).…”

Section: Introductionmentioning

confidence: 99%

Nonlinear models in the height description of the Rhino sunflower cultivar

et al. 2022

View full text Add to dashboard Cite

Sunflower produces achenes and oil of good quality, besides serving for production of silage, forage and biodiesel. Growth modeling allows knowing the growth pattern of the crop and optimizing the management. The research characterized the growth of the Rhino sunflower cultivar using the Logistic and Gompertz models and to make considerations regarding management based on critical points. The data used come from three uniformity trials with the Rhino confectionery sunflower cultivar carried out in the experimental area of the Federal University of Santa Maria - Campus Frederico Westphalen in the 2019/2020 agricultural harvest. In the first, second and third trials 14, 12 and 10 weekly height evaluations were performed on 10 plants, respectively. The data were adjusted for the thermal time accumulated. The parameters were estimated by ordinary least square’s method using the Gauss-Newton algorithm. The fitting quality of the models to the data was measured by the adjusted coefficient of determination, Akaike information criterion, Bayesian information criterion, and through intrinsic and parametric nonlinearity. The inflection points (IP), maximum acceleration (MAP), maximum deceleration (MDP) and asymptotic deceleration (ADP) were determined. Statistical analyses were performed with Microsoft Office Excel® and R software. The models satisfactorily described the height growth curve of sunflower, providing parameters with practical interpretations. The Logistics model has the best fitting quality, being the most suitable for characterizing the growth curve. The estimated critical points provide important information for crop management. Weeds must be controlled until the MAP. Covered fertilizer applications must be carried out between the MAP and IP range. ADP is an indicator of maturity, after reaching this point, the plants can be harvested for the production of silage without loss of volume and quality.

show abstract

“…Our whole system of agriculture depends on many important ways and microbial activities appear to be a tremendous potential for making use of microorganisms in increasing crop production [15,[16][17]. Recently many researchers [1,6,[18][19][20][21][22]] noticed significant differences among sunflower genotypes in growth and yield traits and also reported that sunflower hybrids surpassed local varieties or cultivars in yield and its components [23] reported that, in the Sudan, virtually 98% of oilseed sunflower production depends on hybrids, which has intensified the interest of farmers and other producers to grow the crop, Also, they reported that, the area under sunflower cultivation in the Sudan had shown an increasing manner in the last ten years. Meager studies have been conducted on the effects of biofertilizer on sunflower hybrids in Sudan.…”

Section: Introductionmentioning

confidence: 99%

Impact of Bio-Fertilizer on Growth and Yield of Two Sunflower (Helianthus annuus L.) Hybrids at Shambat, Sudan

Basheer¹,

Idris²,

Ahmed³

2016

SJAVS

View full text Add to dashboard Cite

, during two successive summer and winter growing seasons of 2012 to study the effect of bio-fertilizer (Effective Microorganisms, EM) on growth and yield of two irrigated sunflower (Helianthus annuus L.) hybrids. The experiment was arranged in split-plot based on a randomized complete block design with four replications. The main plots were allotted for the two sunflower hybrids, Hysun 33 (V1) and Shambat (V2). While the subplots for bio-fertilizer treatments. The liquid bio-fertilizer levels were (Zero, 06.25, 12.5, 18.75 and 25.00 L/Ha) corresponding to F1, F2, F3,F4 and F5 treatments. The result showed that, leaf area index (LAI) and stem diameter were higher in Hysun-33 than Shambat while reverse trend was observed in case of number of seeds per head. Also, stem diameter, LAI, number of seeds per head, seeds oil content were affected by bio-fertilizer application. The highest, LAI, stem diameter was recorded in F3x V1 treatment while the highest seeds oil content was higher in hysun-33 than Shambat hydrid particularly under F3 ad F4 bio-fertilizer levels.

show abstract

Genetic variability and correlation studies in some drought-resistant sunflower (Helianthus annuus L.) genotypes

Cited by 9 publications

References 2 publications

A study of correlations and path analyses of some traits in sunflower parental lines

A study of correlations and path analyses of some traits in sunflower parental lines

Nonlinear models in the height description of the Rhino sunflower cultivar

Impact of Bio-Fertilizer on Growth and Yield of Two Sunflower (Helianthus annuus L.) Hybrids at Shambat, Sudan

Contact Info

Product

Resources

About