Effect of Plant Density and Soil Fertility on Oilseed Sunflower Genotypes

Gubbels, G. H.; Dedio, W.

doi:10.4141/cjps86-071

Cited by 13 publications

(10 citation statements)

References 2 publications

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“…Where there was no significant effect of planting methods on oil rate, since the narrow row planting results in high seed yield, it also caused high oil yield. Our findings that high plant density results in an increase in oil yield per decare are supported by the following studies: Robinson et al (1980), Holt and Campbell (1984), Gubbels and Dedio (1986) and Özdemir (1999). The effects of nitrogen applications on oil yield were found to be significant for 2008 and 2009.…”

Section: Oil Yield (Kg/da)supporting

confidence: 76%

Effects of Different Sowing Arrangements and Nitrogen Applications on Yield and Yield Components of Oilseed Sunflower in Dryland Conditions

Tursun

Kıllı²

2016

KSÜ Doğ. Bil. Derg

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ABSTRACT:The purpose of this study was to investigate the effects of various sowing arrangements and nitrogen applications on yield and yield components on dryland in Kahramanmaraş in 2008 and 2009. The experiment was set according to split plot experimental design with four replications; sowing arrangements (skip-row-1, skip-row-2, conventional sowing, and narrow-row sowing) were assigned to main plots and nitrogen doses (0, 4, 8, 12 kg N da -1 ) to sub-plots. In the study, protein content (%), head diameter (cm), 1000-seed weight (gr), oil ratio (%), seed yield (kg da -1 ), oil yield (kg da -1 ) were investigated. End of the study, sowing arrangements statistically significant affected all traits except for oil ratio, while N application had arrangements statistically significant effects on traits besides head diameter and oil ratio. Depending on sowing arrangement and N application seed yield varied between 114.04 kg da -1 (Skip-row 2) and 250.15 kg da -1 (narrow row), and between 163.87 kg da -1 (control) and 187.92 kg da -1 (8 kg da -1 N) respectively. The highest seed and oil yields were obtained from narrow row arrangement with 8 kg da -1 N application.

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Section: Oil Yield (Kg/da)supporting

confidence: 76%

Effects of Different Sowing Arrangements and Nitrogen Applications on Yield and Yield Components of Oilseed Sunflower in Dryland Conditions

Tursun

Kıllı²

2016

KSÜ Doğ. Bil. Derg

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“…For example, it was reported in rapeseed (Brassica napus L.) that SDR had no consistent effects, and the effects of SDR and RS on oil and protein concentration were highly variable (Kondra, 1975). Gubbels and Dedio (1986) found that population density increased sunflower (Helianthus annuus L.) oil concentrations, and oil concentration increased substantially by increasing seeding rate from 30,000 to 45,000 plants ha -1 . They found that there was no relationship between RS and oil in canola, but an interaction between varieties and RS was observed, and the highest oil concentration was recorded at RS of 30 cm.…”

mentioning

confidence: 99%

“…Mousavi et al (2011) studied the effects of three RS (30, 40, and 50 cm) on canola. However, there was a small increase with further increases beyond 45,000 plant ha -1 (Gubbels and Dedio, 1986). Amoghein et al (2012) studied the effects of population density (60,50,40, and 30 plants m -2 ) on oil in safflower (Carthamus tinctorius L.) under irrigated and rainfed conditions.…”

mentioning

confidence: 99%

Soybean Seed Composition as Affected by Seeding Rates and Row Spacing

Bellaloui¹,

Mengistu²,

Walker

et al. 2014

Crop Science

129

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Research on the effects of seeding rates (SDR) and row spacing (RS) on soybean [Glycine max (L.) Merr.] seed composition is almost nonexistent. The objective of this research was to investigate the effect of SDR and RS on soybean seed protein, oil, fatty acids, sugars, and minerals using four soybean cultivars (P 93M90 and AG 3906, maturity group[MG] III; P 94B73, MG IV; and V 52N3, MG V) tested in 2006 and 2007. Seeding rates for P 93M90 and AG 3906 ranged from 247,000 to 592,800 seeds ha⁻1 and for P 94B73 and V 52N3 ranged from 60,000 to 180,000 seeds ha⁻1. Row spacings were 38 and 76 cm. Protein, oleic acid, sugars, P, and B concentrations increased with the increase of SDR in P 93M90 and AG 3906. However, after the maximum concentrations of these constituents were reached, a decrease was observed at the highest SDR. This trend was mainly observed in 2006 and depended on RS. In 2007, the opposite trend of protein and oleic acid concentrations was observed, where the protein and oleic decreased with SDR. In cultivars P 94B73 and V 52N3, results showed that protein concentration increased with SDR in 2006 and 2007 for both 38 and 76 cm RS. Oleic acid increased and linolenic acid decreased with SDR in 2006. The different trends of protein and oleic concentrations between years may be due to temperature and drought stress differences. This research showed that SDR and RS can alter seed constituents, and the magnitude of this effect depended on cultivar and environmental factors, especially temperature and drought.

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“…Contradictory effects have been observed concerning the effect of plant density on OC in relation with environments and genotypes (Andrianasolo et al, 2012;Diepenbrock et al, 2001;Gubbels and Dedio, 1986;Rizzardi et al, 1992). The negative effect of increasing plant density on individual achene (and kernel) weight is well known; it has no systematic effect on OC.…”

Section: Influence Of Plant Density On Ocmentioning

confidence: 99%

Analysis and modelling of the factors controlling seed oil concentration in sunflower: a review

Andrianasolo

Debaeke

Champolivier

et al. 2016

OCL

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-Sunflower appears as a potentially highly competitive crop, thanks to the diversification of its market and the richness of its oil. However, seed oil concentration (OC) -a commercial criterion for crushing industry -is subjected to genotypic and environmental effects that make it sometimes hardly predictable. It is assumed that more understanding of oil physiology combined with the use of crop models should permit to improve prediction and management of grain quality for various end-users. Main effects of temperature, water, nitrogen, plant density and fungal diseases were reviewed in this paper. Current generic and specific crop models which simulate oil concentration were found to be empirical and to lack of proper evaluation processes. Recently two modeling approaches integrating ecophysiological knowledge were developed by Andrianasolo (2014, Statistical and dynamic modelling of sunflower (Helianthus annuus L.) grain composition as a function of agronomic and environmental factors, Ph.D. Thesis, INP Toulouse): (i) a statistical approach relating OC to a range of explanatory variables (potential OC, temperature, water and nitrogen stress indices, intercepted radiation, plant density) which resulted in prediction quality from 1.9 to 2.5 oil points depending on the nature of the models; (ii) a dynamic approach, based on "source-sink" relationships involving leaves, stems, receptacles (as sources) and hulls, proteins and oil (as sinks) and using priority rules for carbon and nitrogen allocation. The latter model reproduced dynamic patterns of all source and sink components faithfully, but tended to overestimate OC. A better description of photosynthesis and nitrogen uptake, as well as genotypic parameters is expected to improve its performance.Keywords: Seed oil concentration / sunflower / genotype / crop management / crop model Résumé -Analyse et modélisation des facteurs contrôlant la teneur en huile chez le tournesol. Le tournesol apparaît comme une culture potentiellement compétitive grâce à la diversité de ses débouchés et de la richesse en huile de ses graines. Cependant, la teneur en huile de la graine (TH) -critère commercial pour la trituration -dépend d'effets génotypiques et environnementaux ce qui en complexifie parfois la prédiction. Nous faisons l'hypothèse qu'une meilleure compréhension de la physiologie de l'accumulation d'huile combinée à l'utilisation de modèles de culture permettrait d'améliorer la prédiction et la gestion de la qualité du grain pour différents usages. Les principaux effets de la température, de l'eau, de l'azote, de la densité de peuplement et des maladies fongiques sont revus dans cette synthèse. Les modèles de culture génériques et spécifiques apparaissent empiriques pour ce qui concerne TH et manquent d'évaluation pour ce critère. Récemment, deux approches de modélisation intégrant des connaissances écophysiolo-giques ont été développées par Andrianasolo (2014, Modélisation statistique et dynamique de la composition de la graine de tournesol (Helianthus annuus L...

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Effect of Plant Density and Soil Fertility on Oilseed Sunflower Genotypes

Cited by 13 publications

References 2 publications

Effects of Different Sowing Arrangements and Nitrogen Applications on Yield and Yield Components of Oilseed Sunflower in Dryland Conditions

Effects of Different Sowing Arrangements and Nitrogen Applications on Yield and Yield Components of Oilseed Sunflower in Dryland Conditions

Soybean Seed Composition as Affected by Seeding Rates and Row Spacing

Analysis and modelling of the factors controlling seed oil concentration in sunflower: a review

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