Explanation of the relationships between seed yield and some morphological traits in smooth bromegrass (Bromus inermis Leyss.) by path analysis

Şeker, Hayati; Serin, Yunus

doi:10.1016/s1161-0301(03)00055-8

Cited by 32 publications

(29 citation statements)

References 9 publications

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“…The average seed size decreases because of competition among seeds for food reserves as pointed out by Iannucci et al (2002). Seker & Serin (2004) divided the correlation into a series of direct and indirect effects of seed yield components for seed yield of smooth bromegrass and confirmed that most traits were significantly correlated with seed yield. Furthermore, studies on chickpeas revealed the same result as our research (Akdağ & Şehirali 1992;Güler et al 2001); these authors stated that a positive and significant relationship existed between seed yield per plant and the number of pods per plant.…”

Section: Discussionmentioning

confidence: 72%

Using path analysis to determine lucerne (Medicago sativaL.) seed yield and its components

Sengul

2006

New Zealand Journal of Agricultural Research

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Section: Discussionmentioning

confidence: 72%

Using path analysis to determine lucerne (Medicago sativaL.) seed yield and its components

Sengul

2006

New Zealand Journal of Agricultural Research

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“…The simple correlation coefficient between each variable and RWU was the sum of the direct effect and total indirect effect. The simple correlation coefficient reflects the positive and negative correlation between the variable and RWU (de Almeida Rios et al., ; Seker & Serin, ). The crop height, radiation, and LAI had extremely significant ( P < 0.01) correlations with RWU.…”

Section: Resultsmentioning

confidence: 99%

Modelling root water uptake under deficit irrigation and rewetting in Northwest China

et al. 2020

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The spatial and temporal distribution of root water uptake (RWU) under deficit irrigation are critical factors for crop growth. The SWAP (soil–water–atmosphere–plant) model was applied to analyze the pattern of RWU for winter wheat (Triticum aestivum L.) under three irrigation levels: no water deficit (100% evapotranspiration [ET]), moderate water deficit (80% ET) and severe water deficit (60% ET). The 2–yr experiments indicated that SWAP was highly accurate (mean relative error [MRE] <21.7%, root mean square error [RMSE] <0.07 cm3 cm−3) in simulating the soil water content (SWC). Root water uptake was significantly (P < 0.01) different in the 0‐ to 60‐cm soil layer. The 0‐ to 60‐cm soil layer was the main source of RWU, and the average value accounted for 89.4% of the total root zone. Water stress had the greatest adverse effect on heading to grain filling, reducing RWU by 0.0026 cm3 cm−3 d−1. The critical SWC was 67.9% of the field capacity, when the RWU dropped to 95% of the control treatment. After rewetting, compensation and hysteresis effects on RWU were observed. The ranking of RWU recovery ability after rewetting was: emergence to jointing > jointing to heading > grain filling to maturity > heading to grain filling. Recovery time of RWU was 2 to 11 d and gradually increased with growth stage. The simplified RWU model established using path analysis and regression performed well (R2 = 0.836; P < 0.01) for RWU. This provided a more convenient way to accurately estimate RWU with fewer variables.

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“…While PCA and biplots help by identifying the similarities of treatments in terms of yield components and depicting the correlations among observed variables, it is also very important in plant breeding to evaluate whether correlations between yield and all the other plant characteristics are due to direct (causal) effects or to indirect (noncausal) effects (Seker and Serin, 2004;Binek and Mos´, 1992). For each PY, the first two columns of principal component (PC) scores along with the first two columns of the rotation matrix were displayed on a biplot.…”

Section: Statistical Analysesmentioning

confidence: 99%

Chewing, Strong, and Slender Creeping Red Fescue Response to Sowing Time and Method

Szczepanek

Onofri

2013

Crop Science

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Diversity of morphological features in red fescue (Festuca rubra L.) genotypes can be associated with responses to sowing time and method. Two‐replicate field experiments were performed for 3 yr in the same locality in Poland (53°09′N, 17°35′ E) aimed at investigating (i) the combined effect of sowing time and method (pure stands in April, middle and end of July, and middle of August or within spring barley [Hordeum vulgare L.] in April) and variety (F. rubra subsp. rubra strong creeping, Festuca rubra L. subsp. litoralis (G. Mey.) Auquier slender creeping, and F. rubra subsp. commutata Markgr.‐Dann. chewing) on plant characteristics and seed yield (SY) in the first and second production years (PYs) and (ii) the correlations among morphological features and SY. In both PYs, the highest SY was obtained with the strong creeping and the lowest with the chewing variety. In the first PY, the highest SY was obtained with pure sowing from April to end of July, while sowing within barley reduced SY. Red fescue sown in August produced zero to two tillers during the establishment year, which caused a reduction in generative tiller density (GTD) and SY in the first PY. The strong and slender creeping varieties gave similar total SY from two PYs with all sowing times and methods. Chewing fescue gave higher SY when sown in pure stands from April to end of July, compared with sowing in August. The GTD and number of spikelets per panicle had the largest positive direct effect on SY in both PYs. Thousand seed weight had a positive, direct effect on SY only in the first PY.

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Explanation of the relationships between seed yield and some morphological traits in smooth bromegrass (Bromus inermis Leyss.) by path analysis

Cited by 32 publications

References 9 publications

Using path analysis to determine lucerne (Medicago sativaL.) seed yield and its components

Using path analysis to determine lucerne (Medicago sativaL.) seed yield and its components

Modelling root water uptake under deficit irrigation and rewetting in Northwest China

Chewing, Strong, and Slender Creeping Red Fescue Response to Sowing Time and Method

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