Relationships between seed yield and yield components in common vetch (Vicia sativa ssp. sativa) populations sown in spring and autumn in central Turkey

Fırıncıoğlu, Hüseyin Kansur; Ünal, Sabahaddin; Erbektaş, Eraslan; Doğruyol, Levent

doi:10.1016/j.fcr.2009.11.005

Cited by 32 publications

(18 citation statements)

References 24 publications

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“…Seed yield is a quantitative character that is largely influenced by the environment and, hence, has low heritability (Bliss et al 1973;Ofori 1996;Boelt and Studer 2010;Firincioglu et al 2010;Wang et al 2010). Therefore, the response to direct selection for seed yield may be unpredictable unless there is good control for environmental variation.…”

Section: Introductionmentioning

confidence: 99%

Algorithmic models of seed yield and its components in smooth bromegrass (Bromus inermis L.) via large sample size under field conditions

et al. 2011

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Based on multi-factor orthogonally designed field experimental plots, the correlations among yield components as well as their direct and indirect effects on the seed yield of Bromus inermis L. cv. 'Carlton' were investigated. The seed yield parameters fertile tillers/m 2 (Y 1 ), spikelets/fertile tiller (Y 2 ), florets/spikelet (Y 3 ), seed number/spikelet (Y 4 ), seed weight (Y 5 ), and seed yield (Z) were determined by hand in the field for the years 2003-2005. Via ridge regression analysis, a steady algorithmic model of seed yield with its five components was found that could closely estimate the seed yield. The component Y 1 had the largest correlation coefficient with Z, followed by Y 2 . The contributions of the five components to the seed yield in decreasing order are Y 3 . The inter-correlation among the components Y 1 to Y 5 and Z exhibited significance but Y 1 was not correlated with Y 3 . Therefore, direct selection for large Y 1 , Y 2 , and Y 4 would be an effective means of selection for high seed yield in the grass.

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Section: Introductionmentioning

confidence: 99%

Algorithmic models of seed yield and its components in smooth bromegrass (Bromus inermis L.) via large sample size under field conditions

et al. 2011

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“…However, in other studies under stressful (i.e. water‐limiting) conditions, early maturity with vigorous growth habit showed rapid canopy development and dry‐matter production (Thomson and Siddique, ), which posed the potential for larger biomass (Thomson et al ., ; Fırıncıoğlu et al ., ).…”

Section: Discussionmentioning

confidence: 97%

“…(,b) and Fırıncıoğlu et al . (, , , , ). In Vicia species, a highly responsive phenology optimizes their adaptation to the different environmental conditions: plants flower comparatively early in short seasons and vice versa in long seasons (Berger et al ., ).…”

Section: Discussionmentioning

confidence: 99%

“…Because winter damage and death of vetch is a major problem in central Turkey, V. sativa is sown in spring, although Fırıncıoğlu et al . (,b, ) have recently reported some cold‐tolerant lines of V . sativa L. developed for autumn planting.…”

Section: Introductionmentioning

confidence: 99%

“…Vetches ( Vicia spp.) are widely grown for forage and grain in the Mediterranean basin, Eastern Europe, the former Soviet Union and Turkey (Francis et al ., ; Firincioğlu et al ., , ). The genus contains about 150 species of annual and perennial herbs and numerous cultivars and landraces (Alinoğlu and Durlu, ).…”

Section: Introductionmentioning

confidence: 99%

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A comparison of six vetches (Vicia spp.) for developmental rate, herbage yield and seed yield in semi‐arid central Turkey

Fırıncıoğlu

2012

Grass and Forage Science

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Six vetches (Vicia spp.), represented by 96 accessions, were evaluated for herbage yield, seed yield and related characters in three consecutive growing seasons (1995‐98) in semi‐arid central Turkey. Data were analysed by multiple statistical procedures: principal component analysis, restricted maximum‐likelihood method and simple linear regression analysis. In the first growing season (Y1), the growing period was curtailed by summer drought, and in the second (Y2) by heavy rainfall. In the third season (Y3), conditions were more temperate. Vicia pannonica ssp. pannonica (Pan) and V. villosa ssp. villosa (Vil) produced more biomass in Y3 than in Y1 and Y2, while V. pannonica ssp. purpurascens (Pur) and V. villosa ssp. dasycarpa (Das) produced more biomass in the wetter Y2. In the shorter growing seasons (Y1 and Y2), the earliness of Pur and Das resulted in high seed yield. V. narbonensis (Nar) in Y3 was particularly sensitive to widely fluctuating air temperatures with the accompanying high rainfall at the vegetative stage, which resulted in vigorous vegetative growth, hindered flowering and reduced seed yield. In V. sativa ssp. sativa (Sat), biomass and seed yield were significantly increased by the longer period of favourable growing weather during Y3. In agricultural practice, Pan and Vil have great potential for herbage production and grazing; Pur, Nar and Sat for grain and straw production; and Das for both hay and grain crops.

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Assessment of phenotypic diversity in bitter vetch (Vicia ervilia (L.) Willd.) populations

Livanios

Lazaridi

Bebeli

2017

Genet Resour Crop Evol

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Relationships between seed yield and yield components in common vetch (Vicia sativa ssp. sativa) populations sown in spring and autumn in central Turkey

Cited by 32 publications

References 24 publications

Algorithmic models of seed yield and its components in smooth bromegrass (Bromus inermis L.) via large sample size under field conditions

Algorithmic models of seed yield and its components in smooth bromegrass (Bromus inermis L.) via large sample size under field conditions

A comparison of six vetches (Vicia spp.) for developmental rate, herbage yield and seed yield in semi‐arid central Turkey

Assessment of phenotypic diversity in bitter vetch (Vicia ervilia (L.) Willd.) populations

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