Dergiler / Turkish Journal Of Field Crops / 2020 / Cilt: 25 - Sayı: 2

EVALUATING SHORT STATURE AND HIGH YIELDING MAIZE HYBRIDS IN MULTIPLE ENVIRONMENTS USING GGE BIPLOT AND AMMI MODELS

Sayfa
216–226
Yayın Tarihi
2020-12-07
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Therefore, considering the plant and ear height, grain yield, and yield stability, the genotype ‘G10’ has been recommended for release as commercial variety and has been released as new maize variety in Bangladesh with the local name of ‘BARI Hybrid Maize-16’ (BHM-16).

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:In Bangladesh, maize stands second place after rice; since it faces diverse natural calamities during its highest growing season (rabi/winter), particularly strong storm during the reproductive stage.
📊
Temel Bulgular & Veri:Considering the burning issue, thirteen hybrids, including 10 previously selected short stature hybrids were evaluated against three local and standard checks: ‘BHM-9’, ‘981’ and ‘Sunshine’ in two consecutive years in seven locations of Bangladesh.
💡
Sonuç & Katkı:Therefore, considering the plant and ear height, grain yield, and yield stability, the genotype ‘G10’ has been recommended for release as commercial variety and has been released as new maize variety in Bangladesh with the local name of ‘BARI Hybrid Maize-16’ (BHM-16).
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:AMMI model · GGE biplot · local crosses and check

Abstract

In Bangladesh, maize stands second place after rice; since it faces diverse natural calamities during its highest growing season (rabi/winter), particularly strong storm during the reproductive stage. Sometimes in some regions, this crop is completely damaged by natural disasters. Considering the burning issue, thirteen hybrids, including 10 previously selected short stature hybrids were evaluated against three local and standard checks: ‘BHM-9’, ‘981’ and ‘Sunshine’ in two consecutive years in seven locations of Bangladesh. Combined analysis over locations and seasons instigated that genotypes ‘Sunshine’, ‘981’ and ‘G10’ were the top-high yielders, while genotypes ‘G1’, ‘G2’, ‘BHM-9’ and ‘Sunshine’ were found the most stable. On the other hand, five genotypes such as ‘G3’, ‘G4’, ‘G6’, ‘G8’ and ‘G9’ had the below-average mean yield and the genotypes ‘G6’ and ‘G9’ were the most unstable. Among the seven environments, Jamalpur, Joydebpur and Dinajpur were most discriminating and Ishwardi was the least discriminating; whereas Joydebpur was more representative and Borishal was the least representative of other test environments. In the case of plant and ear height, most of the genotypes showed a lower value than all the checks, which was desirable. But among the top three high yielders, local cross-genotype, the ‘G10’ had the lowest and more stable value for both plant height and ear height. Therefore, considering the plant and ear height, grain yield, and yield stability, the genotype ‘G10’ has been recommended for release as commercial variety and has been released as new maize variety in Bangladesh with the local name of ‘BARI Hybrid Maize-16’ (BHM-16).

🔖

Bu Makaleye Atıf Yap

AHMED, A., HOSSAIN, A., AMIRUZZAMAN, M., ALAM, M. A., FAROOQ, M., SABAGH, A. E., KIZILGECI, F. (2020). EVALUATING SHORT STATURE AND HIGH YIELDING MAIZE HYBRIDS IN MULTIPLE ENVIRONMENTS USING GGE BIPLOT AND AMMI MODELS. Turkish Journal Of Field Crops, Cilt: 25 - Sayı: 2, 216–226. https://ajindex.com/articles/180702

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (12)

  1. Akter, A.,M. Jamil Hassan, M. Umma Kulsum, M.R. Islam and K.Hossain. 2014. AMMI biplot analysis for stability of grain yield in hybrid rice (Oryza sativa L.). J Rice Res. 2(2): 126. Ali, M.Y., S.R. Waddington, J.Timsina, D.P. Hodson and J.Dixon. 2009. Maize-rice cropping systems in Bangladesh: status and research needs. Journal of Agricultural Science and Technology 3(6): 35-53.
  2. Ariyo, O.J. and M.A. Ayo-Vaughan. 2000. Analysis of genotype x environment interaction of okra (Abelmoschus esculentus (L) Moench. Journal of Genetics and Breeding 54: 33-40.
  3. Badu-Apraku, B., F.J. Abamu, A. Menkir, M.A.B. Fakorade and K. Obeng-Antwi. 2003. Genotype by environment interactions in the regional early maize variety trials in West and Central Africa. Maydica 48: 93– 104. Blanche, S.B. and G.O. Myers. 2006. Identifying discriminating locations for cultivar selection in Louisiana. Crop Sci. 46: 946-949.
  4. Choukan, R. 2011. Genotype, environment and genotype × environment interaction effects on the performance of maize (Zea mays L.) inbred lines. C. B. Journal. 1(2): 97-103.
  5. Comstock, R.E. and R.H. Moll. 1963. Genotype-Environment Interactions. Symposium on Statistical Genetics and Plant Breeding. NASNRC Publication. 982:164–96.
  6. Crossa, J. 1990. Statistical analysis of multilocation trials.Advances in Agronomy 44: 55-85.
  7. Crossa, J., P.N. Fox, W.H. Pfeiffer, S. Rajaram and H.G. Jr. Gauch.1991. AMMI adjustment for statistical analysis of an international wheat yield trial. Theor Appl Genet. 81: 27-37.
  8. Crossa, J., H.G.J. Gauch and R.W. Zobel. 1990. Additive main effects and multiplicative interaction analysis of two international maize cultivar trials. Crop Science 30:493-500.
  9. Das, S., R.C. Misra and M.C. Patnaik. 2009. GxE interaction of mid-late rice genotypes in LR and AMMI model and evaluation of adaptability and yield stability. Environment and Ecology 27(2): 529-535.
  10. Dehghani, H., A. Ebadi and A. Yousefi. 2006. Biplot analysis of genotype by environment interaction for barley yield in Iran. Agron. J. 98: 388-393.
  11. Dimitrios, B., G. Christos, R. Jesus and B. Eva. 2008. Separation of cotton cultivar testing sites based on representativeness and discriminating ability using GGE Biplots. Agron. J. 100: 1230-1236.
  12. Duarte, J.B. and R.Vencovsky.1999.Interação genótipos xambientes: uma introdução a análise AMMI. ESALQ/USP,Ribeirão Preto, SP. Ebdon, J.S. and H.G. Gauch. 2002. Additive Main Effect and Multiplicative Interaction analysis of national turfgrass performance trials: II.