Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2020, Cilt: 10 Sayı: 1, 33 - 42, 24.06.2020

Öz

Destekleyen Kurum

Tarım Bakanlığının Tarımsal Araştırmalar ve Politikalar Genel Müdürlüğü

Proje Numarası

TAGEM/TBAD/13/A14/P01/011

Teşekkür

Araştırma faaliyetlerimi destekleyen GAP Uluslararası Tarımsal Araştırma ve Eğitim Merkezi Müdürlüğü'ne teşekkür ederim.

Kaynakça

  • Aguirre A, Badiali O, Cantarero M, Leon A, Ribotta P, Rubido O 2002. Relationship of test weight and kernel properties to milling and baking quality in Argentine triticales. Cereal Res. Communic. 30 (1-2): 203-208.
  • Akram HM, Sattar A, Ali A, Nadeem MA 2010. Agro-physiologıcal performance of wheat genotypes under moisture stress conditions. J. Agric. Research. 48 (3): 361-369.
  • Aktas H, Karaman M, Oral E, Kendal E, Tekdal S 2017. Evaluation of Some Bread Wheat Genotypes of Yield and Quality Parameters Under Rainfall Condition. Field Crop. Cent. Researc. Inst. J. 26 (1): 86-95.
  • Anonymous 2014a. Diyarbakir Meteorology Regional Directorate records.
  • Anonymous 2014b. Sanliurfa Meteorology Regional Directorate records.
  • Araus JL, Ferrio JP, Buxo R, Voltas J 2007. The historical perspective of dryland agriculture: lessons learned from 10000 years of wheat cultivation. J. Experiment. Botany. 58 (2): 131–145.
  • Cao HW, Zhang H, Chen ZB, Wu ZJ, Cui YD 2011. Chinese traditional medicine matrine: A review of its antitumor activities. J. Med. Plants Res. 5 (10): 1806-1811.
  • Deivasigamani S, Swaminathan C 2018. Evaluation of seed test weight on major field crops. Inter. J. of Res. Stud. in Agricul. Sci. 4 (1): 8-11.
  • Ebadi AG, Hisoriev H 2011. Review on distribution of sambucus ebulus l. ın the north of Iran. Am. Euras. J. Agric. Environ. Sci. 10 (3): 351-353.
  • Fashadfar E, Sadeghi M 2014. GGE-biplot analysis of genotype × environment interaction in wheat-agropyron disomic addition lines. Agric. Commun. 2: 1-7.
  • Afshari H, Eftekhari M, Faraji M, Ebadi AG, Ghanbarimalidareh A 2011. Studying the effect of 1000 grain weight on the sprouting of different species of Salvia L. grown in Iran. J. of Medic. Plants Res. 5 (16): 3991-3993.
  • Genstat 2009. Genstat for windows (12th edition) introduction. vsn international, Hemel Hempstead.
  • Gomez KA, Gomez AA 1984. Statistical Procedures for Agricultural Research. 2nd Ed. John Willey and Sons, Inc. New York. 641.
  • Kadir M, Muddin K, Farid B M, Musa Y, Nur A, Efendi R, Seyahruddin K 2018. GGE-biplot analysis of yield stability in environment trial oftropical wheat (Triticum aestivum L.) genotype under dryseason in Indonesia. Res. on Crops, 19 (4) : 680-688.
  • Karaman 2020. Evaluation of yield and quality performance of some spring bread wheat (Triticum aestivum L.) genotypes under rainfall conditions. Inter. J. of Agric. Env. and Food Sci. 4 (1): 19-26.
  • Kaydan D, Yağmur M, 2008. A research on yield and yield components of some bread wheat (Triticum aestivum L.) varieties in Van ecological conditions. J. of Agric. Sci. 14 (4): 350-358.
  • Khatri N, Pandey BP, Bista M, Ghimire DL 2019. Effect of different wheat variety and sowing methods on grain yield of wheat under bhairahawa condition of Nepal. Inter. J. of Life Sci. and Biotec. 2 (3): 175-182.
  • Mehari M, Tesfay M, Yirga H, Mesele A, Abebe T, Workineh A, Amare B. 2015. GGE biplot analysis of genotype by environment interaction and grain yield stability of bread wheat genotypes in South Tigray, Ethiopia. Commun. in Biomet. and Crop Sci. 10: 17–26.
  • Mizrak G 2018. Wheat from Soil to Table. ISBN: 978-605-83121-4-2, Pg: 7, Ankara.
  • Mut Z, Aydın N, Özcan H, Bayramoğlu O 2005. Determination of yield and some quality traits of bread wheat (Triticum aestivum L.) genotypes in the Middle Black Sea Region. J. of Gaziosmanpasa Univ. Faculty of Agric. 22 (2): 85-93.
  • Oral E, Kendal E, Dogan Y 2018 Selection the best barley genotypes to multi and special environments by AMMI and GGE biplot models. Fres. Env. Bull. 27: 5179-5187.
  • Protic R, Miric M, Protic N, Jovanovic Ž, Jovin P 2007. The test weight of several winter wheat genotypes under various sowing dates and nitrogen fertilizer rates. Rom. Agric. Res. 24: 43-36.
  • Rahman MA, Chikushi J, Yoshida S, Karim AJMS 2009a. Growth and yield components of wheat genotypes exposed to high temperature stress under control environment. Bangladesh J. of Agric. Res. 34(3): 360-372.
  • Rahman MM, Hossain A, Hakim MA, Kabir MR, Shah MMR 2009b. Performance of wheat genotypes under optimum and late sowing condition. Inter. J. of Sust. Crop Produc. 4 (6): 34-39.
  • Rakshit S, Ganapathy KN, Gomashe SS, Swapna M, More A, Gadakh SR, Ghorade RB, Kajjidoni ST, Solanki BG, Biradar BD, Prabhakar A 2014. GGE biplot analysis of genotype × environment interaction in rabi grain sorghum [Sorghum bicolor (L.) Moench]. Indian J. of Gen. and Plant Breed. 74: 558-563.
  • Sharifi P, Hashem A, Rahman E, Ali M, Abouzar A 2017. Evaluation of genotype × environment ınteraction in rice based on AMMI model in Iran. Rice Sci. 24: 173-180.
  • Singh C, Gupta A, Gupta V, Kumar P, Sendhil R, Tyagi BS, Singh G, Chatrath R, Singh GP 2019. Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models. Crop Breed. and App. Biotec. 19 (3): 309-318.
  • Susanto U, Rohaeni WR, Johnson SB, Jamil A 2015. GGE-biplot analysis for genotype x environment interaction on yield trait of high Fe content rice genotypes in Indonesian irrigated environments. J.Agrivita. 37: 265-7.
  • Yan W, Kang MS 2002. GGE-Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. CRC Press, Boca Raton, 288p.
  • Yan W, Tinker NA 2006. Biplot analysis of multi-environment trial data: Principles and applications. Canadian J. of Plant Sci. 86: 623-645.

Comparison of the Agricultural Characteristics of Bread Wheat (Triticum aestivum L.) Genotypes based on Irrigated Conditions in Different Locations

Yıl 2020, Cilt: 10 Sayı: 1, 33 - 42, 24.06.2020

Öz

Current study in Turkey's Diyarbakir and Sanliurfa provinces in the 2013-2014 production season were carried out in irrigated conditions. The trial was conducted with 4 replications in the random blocks trial pattern. The aim is to identify genotypes superior to cultivars in irrigated conditions. In addition, it is to contribute to breeding programs by determining the ideal genotype and environment. In the study, among genotypes in terms of all parameters examined significant differences were determined in level of p≤0.01. In the grain yield stability biplot graph, principal component 1 (PC1) clearly revealed the variation of 63.17%, principal component 2 (PC2) 36.83% variation, and that the highly efficient and stable genotype was G9. In the stability biplot graph representing the protein ratio; PC1 62.97%, PC2 37.03% with ratio explained the variation between genotypes. In terms of protein ratio, it is clearly seen that G11 is stable and the best genotype. In the study, it was determined that G9, G11 and G17 are superior lines than the varieties. In addition, these advanced lines should be used as genitor in breeding programs. It is concluded that the examination of these lines at the molecular level will contribute to modern and classical breeding programs.

Proje Numarası

TAGEM/TBAD/13/A14/P01/011

Kaynakça

  • Aguirre A, Badiali O, Cantarero M, Leon A, Ribotta P, Rubido O 2002. Relationship of test weight and kernel properties to milling and baking quality in Argentine triticales. Cereal Res. Communic. 30 (1-2): 203-208.
  • Akram HM, Sattar A, Ali A, Nadeem MA 2010. Agro-physiologıcal performance of wheat genotypes under moisture stress conditions. J. Agric. Research. 48 (3): 361-369.
  • Aktas H, Karaman M, Oral E, Kendal E, Tekdal S 2017. Evaluation of Some Bread Wheat Genotypes of Yield and Quality Parameters Under Rainfall Condition. Field Crop. Cent. Researc. Inst. J. 26 (1): 86-95.
  • Anonymous 2014a. Diyarbakir Meteorology Regional Directorate records.
  • Anonymous 2014b. Sanliurfa Meteorology Regional Directorate records.
  • Araus JL, Ferrio JP, Buxo R, Voltas J 2007. The historical perspective of dryland agriculture: lessons learned from 10000 years of wheat cultivation. J. Experiment. Botany. 58 (2): 131–145.
  • Cao HW, Zhang H, Chen ZB, Wu ZJ, Cui YD 2011. Chinese traditional medicine matrine: A review of its antitumor activities. J. Med. Plants Res. 5 (10): 1806-1811.
  • Deivasigamani S, Swaminathan C 2018. Evaluation of seed test weight on major field crops. Inter. J. of Res. Stud. in Agricul. Sci. 4 (1): 8-11.
  • Ebadi AG, Hisoriev H 2011. Review on distribution of sambucus ebulus l. ın the north of Iran. Am. Euras. J. Agric. Environ. Sci. 10 (3): 351-353.
  • Fashadfar E, Sadeghi M 2014. GGE-biplot analysis of genotype × environment interaction in wheat-agropyron disomic addition lines. Agric. Commun. 2: 1-7.
  • Afshari H, Eftekhari M, Faraji M, Ebadi AG, Ghanbarimalidareh A 2011. Studying the effect of 1000 grain weight on the sprouting of different species of Salvia L. grown in Iran. J. of Medic. Plants Res. 5 (16): 3991-3993.
  • Genstat 2009. Genstat for windows (12th edition) introduction. vsn international, Hemel Hempstead.
  • Gomez KA, Gomez AA 1984. Statistical Procedures for Agricultural Research. 2nd Ed. John Willey and Sons, Inc. New York. 641.
  • Kadir M, Muddin K, Farid B M, Musa Y, Nur A, Efendi R, Seyahruddin K 2018. GGE-biplot analysis of yield stability in environment trial oftropical wheat (Triticum aestivum L.) genotype under dryseason in Indonesia. Res. on Crops, 19 (4) : 680-688.
  • Karaman 2020. Evaluation of yield and quality performance of some spring bread wheat (Triticum aestivum L.) genotypes under rainfall conditions. Inter. J. of Agric. Env. and Food Sci. 4 (1): 19-26.
  • Kaydan D, Yağmur M, 2008. A research on yield and yield components of some bread wheat (Triticum aestivum L.) varieties in Van ecological conditions. J. of Agric. Sci. 14 (4): 350-358.
  • Khatri N, Pandey BP, Bista M, Ghimire DL 2019. Effect of different wheat variety and sowing methods on grain yield of wheat under bhairahawa condition of Nepal. Inter. J. of Life Sci. and Biotec. 2 (3): 175-182.
  • Mehari M, Tesfay M, Yirga H, Mesele A, Abebe T, Workineh A, Amare B. 2015. GGE biplot analysis of genotype by environment interaction and grain yield stability of bread wheat genotypes in South Tigray, Ethiopia. Commun. in Biomet. and Crop Sci. 10: 17–26.
  • Mizrak G 2018. Wheat from Soil to Table. ISBN: 978-605-83121-4-2, Pg: 7, Ankara.
  • Mut Z, Aydın N, Özcan H, Bayramoğlu O 2005. Determination of yield and some quality traits of bread wheat (Triticum aestivum L.) genotypes in the Middle Black Sea Region. J. of Gaziosmanpasa Univ. Faculty of Agric. 22 (2): 85-93.
  • Oral E, Kendal E, Dogan Y 2018 Selection the best barley genotypes to multi and special environments by AMMI and GGE biplot models. Fres. Env. Bull. 27: 5179-5187.
  • Protic R, Miric M, Protic N, Jovanovic Ž, Jovin P 2007. The test weight of several winter wheat genotypes under various sowing dates and nitrogen fertilizer rates. Rom. Agric. Res. 24: 43-36.
  • Rahman MA, Chikushi J, Yoshida S, Karim AJMS 2009a. Growth and yield components of wheat genotypes exposed to high temperature stress under control environment. Bangladesh J. of Agric. Res. 34(3): 360-372.
  • Rahman MM, Hossain A, Hakim MA, Kabir MR, Shah MMR 2009b. Performance of wheat genotypes under optimum and late sowing condition. Inter. J. of Sust. Crop Produc. 4 (6): 34-39.
  • Rakshit S, Ganapathy KN, Gomashe SS, Swapna M, More A, Gadakh SR, Ghorade RB, Kajjidoni ST, Solanki BG, Biradar BD, Prabhakar A 2014. GGE biplot analysis of genotype × environment interaction in rabi grain sorghum [Sorghum bicolor (L.) Moench]. Indian J. of Gen. and Plant Breed. 74: 558-563.
  • Sharifi P, Hashem A, Rahman E, Ali M, Abouzar A 2017. Evaluation of genotype × environment ınteraction in rice based on AMMI model in Iran. Rice Sci. 24: 173-180.
  • Singh C, Gupta A, Gupta V, Kumar P, Sendhil R, Tyagi BS, Singh G, Chatrath R, Singh GP 2019. Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models. Crop Breed. and App. Biotec. 19 (3): 309-318.
  • Susanto U, Rohaeni WR, Johnson SB, Jamil A 2015. GGE-biplot analysis for genotype x environment interaction on yield trait of high Fe content rice genotypes in Indonesian irrigated environments. J.Agrivita. 37: 265-7.
  • Yan W, Kang MS 2002. GGE-Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. CRC Press, Boca Raton, 288p.
  • Yan W, Tinker NA 2006. Biplot analysis of multi-environment trial data: Principles and applications. Canadian J. of Plant Sci. 86: 623-645.
Toplam 30 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ziraat Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Mehmet Karaman 0000-0002-6176-9580

Hüsnü Aktaş 0000-0001-6943-2109

Proje Numarası TAGEM/TBAD/13/A14/P01/011
Yayımlanma Tarihi 24 Haziran 2020
Gönderilme Tarihi 11 Nisan 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 10 Sayı: 1

Kaynak Göster

APA Karaman, M., & Aktaş, H. (2020). Comparison of the Agricultural Characteristics of Bread Wheat (Triticum aestivum L.) Genotypes based on Irrigated Conditions in Different Locations. Manas Journal of Agriculture Veterinary and Life Sciences, 10(1), 33-42.