DETERMINATION OF SUNFLOWER IDEOTYPE IN THE GONBAD REGION USING MULTIPLE REGRESSION MODELLING

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KHAZAII B.A.; SOLTANI A.; FARAJI A.

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Journal: Crop Production Year:2016 | Volume:9 | Issue:3 Page(s): 1-21

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Title

DETERMINATION OF SUNFLOWER IDEOTYPE IN THE GONBAD REGION USING MULTIPLE REGRESSION MODELLING

Author(s)

KHAZAII B.A. | SOLTANI A. | FARAJI A. | Issue Writer Certificate

Keywords

PLANT BREEDINGQ1

PLANT IDEOTYPEQ1

MULTIPLE REGRESSIONSQ3

CORRELATIONQ3

Abstract

Background and objectives: Plant breeders to select their breeding objectives through the physiological and morphological characteristics, require classification of the limitations and capabilities which exists in plants; this issue leads to the concept of the ideotype. Achieving the best crop ideotypes requires appropriate statistical methods. The objective of this study was to introduce a method based on MULTIPLE REGRESSIONS to find ideotype with a case study of sunflower in Gonbad.Materials and methods: Data were collected by sowing 12 sunflower genotypes in four replications in a randomized block design in south of Gonbad city. Using MULTIPLE REGRESSIONS in order to determine the important traits and to show the contribution of each trait in formation of yield. The method identified the relation between yield and all variables in a quantify matter. Also according to the positive or negative CORRELATION between the variables affecting the yield, to designing ideotype, various hypotheses put forward and various aspects of them was examined.Results: Five important traits including total dry mass production, maximum leaf number, grain weight, the percentage of empty achene and the oil percentage had high role in determining sunflower yield. Optimum amount of each variable was determined by multiple regression method. These five variables explained 57% of yield variation. The results indicate that if the CORRELATION between some traits changed, it could be used for the yield improvement. Regarding negative CORRELATION between oil percentage and total dry mass, several hypotheses were evaluated. If the negative CORRELATION between max dry matter and oil content is not breakable, the yield of the best ideotype will increase 812 (from 2080 to 2892) Kg ha-1 in comparison with sunflower hybrids. If with increasing max dry mater, oil content stay at moderate level, it will increase 873 (from 2080 to 2953) Kg ha-1 in the best ideotype, and if CORRELATION between max dry matter and oil content is breakable, it will increase 999 (from 2080 to 3079) Kg ha-1 in the best ideotype.Conclusion: Mean seed yield of sunflower improve from 2080 Kg ha-1 to 2892-3079 Kg ha-1 in the selected ideotype. It was concluded that because of concerning the genetic differences among varieties, the method which used in this study, can be used in determining PLANT IDEOTYPEs in conjunction with other methods and it can guide plant breeders to move through the best crops ideotype.

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APA: Copy

KHAZAII, B.A., SOLTANI, A., & FARAJI, A.. (2016). DETERMINATION OF SUNFLOWER IDEOTYPE IN THE GONBAD REGION USING MULTIPLE REGRESSION MODELLING. ELECTRONIC JOURNAL OF CROP PRODUCTION, 9(3), 1-21. SID. https://sid.ir/paper/135220/en

Vancouver: Copy

KHAZAII B.A., SOLTANI A., FARAJI A.. DETERMINATION OF SUNFLOWER IDEOTYPE IN THE GONBAD REGION USING MULTIPLE REGRESSION MODELLING. ELECTRONIC JOURNAL OF CROP PRODUCTION[Internet]. 2016;9(3):1-21. Available from: https://sid.ir/paper/135220/en

IEEE: Copy

B.A. KHAZAII, A. SOLTANI, and A. FARAJI, “DETERMINATION OF SUNFLOWER IDEOTYPE IN THE GONBAD REGION USING MULTIPLE REGRESSION MODELLING,” ELECTRONIC JOURNAL OF CROP PRODUCTION, vol. 9, no. 3, pp. 1–21, 2016, [Online]. Available: https://sid.ir/paper/135220/en

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