EVALUATING EMPIRICAL MODELS TO PREDICT YIELD LOSS OF WINTER WHEAT (TRITICUM AESTIVUM L.) CULTIVARS IN INTERFERENCE WITH FERAL RYE (SECALE CEREALE)

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SAADATIAN BIJAN; KAFI MOHAMAD; SOLEYMANI FATEMEH; AHMADVAND GOUDARZ

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Journal: Cereal Research Year:2013 | Volume:3 | Issue:1 Page(s): 69-82

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Title

EVALUATING EMPIRICAL MODELS TO PREDICT YIELD LOSS OF WINTER WHEAT (TRITICUM AESTIVUM L.) CULTIVARS IN INTERFERENCE WITH FERAL RYE (SECALE CEREALE)

Author(s)

SAADATIAN BIJAN | KAFI MOHAMAD | SOLEYMANI FATEMEH | AHMADVAND GOUDARZ | Issue Writer Certificate

Keywords

MODEL EFFICIENCYQ2

REGRESSIONQ2

RELATIVE DRY MATTERQ3

RELATIVE LEAF AREAQ2

WEED DENSITYQ2

Abstract

To evaluate the empirical models of competition in predicting yield loss of winter wheat, a factorial trial based on a randomized complete block design with three replications was carried out. Experimental factors were four wheat cultivars (Sayson, Alvand, Chamran and Sepahan) and feral rye densities at five levels (0, 20, 40, 60 and 80 plants m-2) at exemplary form of Dargaz, in 2010-2011 crop year. Feral rye caused a biological and grain yield reduction of studied wheat cultivars. Wheat cultivars did not have similar reaction for yield loss of biological and grain in interference with feral rye. Maximum and minimum of initial slop of biological and grain yield loss (I parameter) obtained in Chamran (6.19 and 13.12 percent) and Sepahan (1.24 and 2.62 percent) cultivars, respectively. Competition effect on biological yield of wheat cultivars was less than grain yield. Obtained relative damage coefficients (q parameter) of one and two-parameter models based on RELATIVE LEAF AREA and RELATIVE DRY MATTER were indicative of high competitive ability of feral rye than wheat cultivars. Models based on RELATIVE LEAF AREA and RELATIVE DRY MATTER of feral rye had more efficiency in predict of wheat grain yield loss in compared with yield loss-density model. Minimum REGRESSION root mean square error of observed and predicted quantities resulted of two-parameter models based on leaf area and RELATIVE DRY MATTER of weed. Regarding to simplicity of dry matter measuring than leaf area, the twoparameter model of weed RELATIVE DRY MATTER introduced a favorite model for predicting of wheat yield loss.

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APA: Copy

SAADATIAN, BIJAN, KAFI, MOHAMAD, SOLEYMANI, FATEMEH, & AHMADVAND, GOUDARZ. (2013). EVALUATING EMPIRICAL MODELS TO PREDICT YIELD LOSS OF WINTER WHEAT (TRITICUM AESTIVUM L.) CULTIVARS IN INTERFERENCE WITH FERAL RYE (SECALE CEREALE). CEREAL RESEARCH, 3(1), 69-82. SID. https://sid.ir/paper/246661/en

Vancouver: Copy

SAADATIAN BIJAN, KAFI MOHAMAD, SOLEYMANI FATEMEH, AHMADVAND GOUDARZ. EVALUATING EMPIRICAL MODELS TO PREDICT YIELD LOSS OF WINTER WHEAT (TRITICUM AESTIVUM L.) CULTIVARS IN INTERFERENCE WITH FERAL RYE (SECALE CEREALE). CEREAL RESEARCH[Internet]. 2013;3(1):69-82. Available from: https://sid.ir/paper/246661/en

IEEE: Copy

BIJAN SAADATIAN, MOHAMAD KAFI, FATEMEH SOLEYMANI, and GOUDARZ AHMADVAND, “EVALUATING EMPIRICAL MODELS TO PREDICT YIELD LOSS OF WINTER WHEAT (TRITICUM AESTIVUM L.) CULTIVARS IN INTERFERENCE WITH FERAL RYE (SECALE CEREALE),” CEREAL RESEARCH, vol. 3, no. 1, pp. 69–82, 2013, [Online]. Available: https://sid.ir/paper/246661/en

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