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Year 2022, Volume: 28 Issue: 2, 278 - 286, 25.04.2022
https://doi.org/10.15832/ankutbd.893517

Abstract

References

  • AACC (2000). Approved Methods of American Association of Cereal Chemists. 10th Ed. American Association of Cereal Chemists, Minnesota, USA.
  • Anonymous (2016). Turkish State Meteorological Service. Available at [Access date: 13.12.2016]. https://mgm.gov.tr/eng/forecast-cities.aspx
  • Buerstmayr H, Krenn N, Stephan U, Grausgruber H & Zechner E (2007). Agronomic performance and quality of oat (Avena sativa L.) genotypes of worldwide origin produced under central European growing conditions. Field Crops Research 101: 343-351.
  • Coffman F A & Frey K J (1961). Influence of climate and physiologic factors on growth in oats. In Coffman FL (Ed). Oats and oat improvement, John Wiley and Sons, (p. 420-464), US.
  • Crossu J (1990). Statistical analyses of multi-location trials. Advances in Agronomy 44: 55-85.
  • Doehlert DC (2002). Quality improvement in oat. Journal of crop production 5(1-2): 165-189.
  • Doehlert DC, Mcmullen MS & Hammond JJ (2001). Genotyping and environmental effects on grain yield and quality of oat grown in North Dakota. Crop Science 41: 1066-1072.
  • FAO - Food and Agriculture Organization of the United Nations (2018) FAOSTAT statistical database. FAO, Rome.
  • Farshadfar E & Sutka J (2003). Locating QTLs controlling adaptation in wheat using AMMI model. Cereal Research Communication, 3: 249-256.
  • Finnan J, Burke BY & Spink J (2019). The effect of nitrogen timing and rate on radiation interception, grain yield and grain quality in autumn sown oats. Field crops research, 231:130-140.
  • Gauch HG & ZobeL RW (1996). AMMI Analysis of Yield Trials. In Kang MS and Gauch HG (Eds.). Genotype-by-Environment Interaction, Taylor and Francis, (p: 85-122), FL.
  • Gauch HG (1993). Matmodel version 2.0: AMMI and related analysis for two-way data matrices. Micro Computer Power, Ithaca, New York, USA.
  • Kahraman T, Avci R & Kurt T (2017). Determination of grain yield, quality and agronomic traits of some oat (Avena sativa L.) genotypes. Journal of Field Crops Central Research Institute 26: 74-79 (In Turkish).
  • Michels DK, Chatham LA, Butts-Gilmsmeyer CJ, Juvik JA & Kolb FL (2020). Variation in avenanthramide content in spring oat over multiple environments. Journal of Cereal Science 91: 102-886.
  • Mut Z, Akay H & Erbaş Köse ÖD (2018). Grain yield, quality traits and grain yield stability of local oat cultivars. Journal of Soil Science and Plant Nutrition 18(1): 269-281.
  • Peltonen-Sainio P & Peltonen J (1993). Stability of quality traits in spring cereals cultivated under the growing conditions of southern Finland. Acta Agriculturae Scandinavica B-Plant Soil Sciences 43(1): 45-52.
  • Peterson DM, Wesenberg DM, Burrup DE & Erickson CA (2005). Relationships among agronomic traits and grain composition in oat genotypes grown in different environments. Crop Sciences 45: 1249-1255.
  • Peterson DM (1992). Composition and nutritional characteristics of oat grain products. In Marshall HG and Sorrells ME (Eds) Oat Science and Technology, (p. 265-292), Madison: American Society of Agronomy.
  • Pixley KV & Frey KJ (1991). Combining ability for test weight and agronomic traits of oat. Crop science 31(6): 1448-1451.
  • Punia S, Sandhu KS, Dhull SG, Siroha AK, Purewal SS, Kaur M & Kidwai MK (2020). Oat starch: Physico-chemical, morphological, rheological characteristics and its application-A review. Inter. Journal of Biological Macromolecules 154: 493-498.
  • Purchase JL, Hatting H & Vandeventer CS (2000). Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: Π. Stability analysis of yield performance. South African Journal of Plant Soil 17: 101-107.
  • Sánchez-Martín J, Rubiales D, Flores F, Emeran AA, Shtaya MJY, Sillero JC & Prats E (2014). Adaptation of oat (Avena sativa) cultivars to autumn sowings in Mediterranean environments. Field Crops Research 156: 111-122.
  • SAS (1998). SAS proprietary software. Release 8.2. SAS Institute Cary, NC.
  • Yan W, Frégeau-Reid J, Pageau D & Martin R (2016). Genotype-by-environment interaction and trait associations in two genetic populations of oat. Crop Science 56(3): 1136-1145.
  • Yan W & Tinker NA (2006). Biplot analysis of multi-environ¬ment trial data: Principles and applications. Canadian Journal of Plant Science 86: 623-645.
  • Zobel RW, Wright MS & Gauch HG (1988). Statistical analysis of a yield trial. Agronomy Journal 80: 388-393.

Multi-Environment Analysis of Grain Yield and Quality Traits in Oat (Avena sativa L.)

Year 2022, Volume: 28 Issue: 2, 278 - 286, 25.04.2022
https://doi.org/10.15832/ankutbd.893517

Abstract

Oat is used for food, in animal feeding and non-food products. Twenty-five oat genotypes were evaluated at six different environments to determine high-yielding, good-quality and stable genotypes. Experiments were conducted in randomized blocks design with 4 replications. Grain yield, plant height, test weight, thousand-grain weight, screening percentage, groat percentage, protein, β-glucan and starch contents were evaluated for 25 oat genotypes. Genotype, environment and genotype × environment interaction had extremely important effects on yield and quality of oat grains. The additive main effects and multiplicative interactions analysis disclosed important genotype and environmental effects in addition to genotype by environmental interaction according to grain yield. Using AMMI analysis, three promising oat genotypes (G1, G3 and G7) were defined in comparison to the cultivars and these genotypes had 4.03, 3.77 and 3.70 t ha-1, respectively. AMMI-2 biplot revealed that E6 was the most discriminating environment for grain yield of oat genotypes. Genotype-by-trait (GT) biplot explained 54.9% of total variation. Grain yield were positive associated with all traits except plant height. G1, G3 and G7 genotypes, which showed the best performance and higher stability, also had good quality traits.

References

  • AACC (2000). Approved Methods of American Association of Cereal Chemists. 10th Ed. American Association of Cereal Chemists, Minnesota, USA.
  • Anonymous (2016). Turkish State Meteorological Service. Available at [Access date: 13.12.2016]. https://mgm.gov.tr/eng/forecast-cities.aspx
  • Buerstmayr H, Krenn N, Stephan U, Grausgruber H & Zechner E (2007). Agronomic performance and quality of oat (Avena sativa L.) genotypes of worldwide origin produced under central European growing conditions. Field Crops Research 101: 343-351.
  • Coffman F A & Frey K J (1961). Influence of climate and physiologic factors on growth in oats. In Coffman FL (Ed). Oats and oat improvement, John Wiley and Sons, (p. 420-464), US.
  • Crossu J (1990). Statistical analyses of multi-location trials. Advances in Agronomy 44: 55-85.
  • Doehlert DC (2002). Quality improvement in oat. Journal of crop production 5(1-2): 165-189.
  • Doehlert DC, Mcmullen MS & Hammond JJ (2001). Genotyping and environmental effects on grain yield and quality of oat grown in North Dakota. Crop Science 41: 1066-1072.
  • FAO - Food and Agriculture Organization of the United Nations (2018) FAOSTAT statistical database. FAO, Rome.
  • Farshadfar E & Sutka J (2003). Locating QTLs controlling adaptation in wheat using AMMI model. Cereal Research Communication, 3: 249-256.
  • Finnan J, Burke BY & Spink J (2019). The effect of nitrogen timing and rate on radiation interception, grain yield and grain quality in autumn sown oats. Field crops research, 231:130-140.
  • Gauch HG & ZobeL RW (1996). AMMI Analysis of Yield Trials. In Kang MS and Gauch HG (Eds.). Genotype-by-Environment Interaction, Taylor and Francis, (p: 85-122), FL.
  • Gauch HG (1993). Matmodel version 2.0: AMMI and related analysis for two-way data matrices. Micro Computer Power, Ithaca, New York, USA.
  • Kahraman T, Avci R & Kurt T (2017). Determination of grain yield, quality and agronomic traits of some oat (Avena sativa L.) genotypes. Journal of Field Crops Central Research Institute 26: 74-79 (In Turkish).
  • Michels DK, Chatham LA, Butts-Gilmsmeyer CJ, Juvik JA & Kolb FL (2020). Variation in avenanthramide content in spring oat over multiple environments. Journal of Cereal Science 91: 102-886.
  • Mut Z, Akay H & Erbaş Köse ÖD (2018). Grain yield, quality traits and grain yield stability of local oat cultivars. Journal of Soil Science and Plant Nutrition 18(1): 269-281.
  • Peltonen-Sainio P & Peltonen J (1993). Stability of quality traits in spring cereals cultivated under the growing conditions of southern Finland. Acta Agriculturae Scandinavica B-Plant Soil Sciences 43(1): 45-52.
  • Peterson DM, Wesenberg DM, Burrup DE & Erickson CA (2005). Relationships among agronomic traits and grain composition in oat genotypes grown in different environments. Crop Sciences 45: 1249-1255.
  • Peterson DM (1992). Composition and nutritional characteristics of oat grain products. In Marshall HG and Sorrells ME (Eds) Oat Science and Technology, (p. 265-292), Madison: American Society of Agronomy.
  • Pixley KV & Frey KJ (1991). Combining ability for test weight and agronomic traits of oat. Crop science 31(6): 1448-1451.
  • Punia S, Sandhu KS, Dhull SG, Siroha AK, Purewal SS, Kaur M & Kidwai MK (2020). Oat starch: Physico-chemical, morphological, rheological characteristics and its application-A review. Inter. Journal of Biological Macromolecules 154: 493-498.
  • Purchase JL, Hatting H & Vandeventer CS (2000). Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: Π. Stability analysis of yield performance. South African Journal of Plant Soil 17: 101-107.
  • Sánchez-Martín J, Rubiales D, Flores F, Emeran AA, Shtaya MJY, Sillero JC & Prats E (2014). Adaptation of oat (Avena sativa) cultivars to autumn sowings in Mediterranean environments. Field Crops Research 156: 111-122.
  • SAS (1998). SAS proprietary software. Release 8.2. SAS Institute Cary, NC.
  • Yan W, Frégeau-Reid J, Pageau D & Martin R (2016). Genotype-by-environment interaction and trait associations in two genetic populations of oat. Crop Science 56(3): 1136-1145.
  • Yan W & Tinker NA (2006). Biplot analysis of multi-environ¬ment trial data: Principles and applications. Canadian Journal of Plant Science 86: 623-645.
  • Zobel RW, Wright MS & Gauch HG (1988). Statistical analysis of a yield trial. Agronomy Journal 80: 388-393.
There are 26 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Makaleler
Authors

Özge Doğanay Erbaş Köse 0000-0003-0429-3325

Publication Date April 25, 2022
Submission Date March 9, 2021
Acceptance Date May 19, 2021
Published in Issue Year 2022 Volume: 28 Issue: 2

Cite

APA Erbaş Köse, Ö. D. (2022). Multi-Environment Analysis of Grain Yield and Quality Traits in Oat (Avena sativa L.). Journal of Agricultural Sciences, 28(2), 278-286. https://doi.org/10.15832/ankutbd.893517

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