Journals / Turkish Journal of Food and Agriculture Sciences / 2020 / Cilt: 2 - Sayı: 1

Grain yield stability of promising proso millet (Panicum miliaceum L.) genotypes for hilly region of Nepal

Pages
5–11
Publication Date
2020-06-30
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The genotypes CO4656 had mean yield 0.495 t/ha which was higher than the overall mean (0.429 t/ha), parameter of response (b)=1.16 and parameter of stability (S2di)=0.05.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Identification of genotypes with a high potential for yield and stability across environments is an essential task in plant breeding.
📊
Key Findings & Data:The experiments were conducted in three consecutive years viz 2017, 2018 and 2019 during spring seasons across two locations viz Dolakha; and Jumla using 13 proso millet genotypes in Nepal.
💡
Conclusion & Impact:The genotypes CO4656 had mean yield 0.495 t/ha which was higher than the overall mean (0.429 t/ha), parameter of response (b)=1.16 and parameter of stability (S2di)=0.05.
🔬Design:Research Article
📍Scope:2017 Verileri
⚙️Variables:Prosomillet (Panicum miliaacum L)

Abstract

Identification of genotypes with a high potential for yield and stability across environments is an essential task in plant breeding. The experiments were conducted in three consecutive years viz 2017, 2018 and 2019 during spring seasons across two locations viz Dolakha; and Jumla using 13 proso millet genotypes in Nepal. Proso millet genotypes were evaluated in randomized complete block design with three replications. The objectives of this study were to analyze yield stability and adaptability of proso millets genotypes and to evaluate the discrimination and representativeness of locations by genotype and genotype by environment interaction (GGE) biplot methods. The significant genotypes and genotypes and their interaction (P<0.05) were observed for day to maturity, plant height and grain yield which indicated the presence of difference among the genotypes. The combined analysis over environments showed that the average values of days to maturity was 118 days, plant height of 112 cm and grain yield of 0.429 t/ha. The genotypes CO4656 had mean yield 0.495 t/ha which was higher than the overall mean (0.429 t/ha), parameter of response (b)=1.16 and parameter of stability (S2di)=0.05. This genotypes could be represented as stable and widely adapted across tested environments. The genotype CO3149 was specifically adapted to favourable environment of Jumla because its regression coefficient was significantly more than unity (b=1.25) mean yield is higher (0.478 t/ha) than the average (0.429 t/ha) and S2di was nearly zero (0.101). Similarly genotype HUMLA-312 was specifically adapted to Dolakha environment because its regression coefficient was significantly more than unity (b=1.14), mean yield was higher (0.451 t/ha) than the average (0.429 t/ha) and S2d was nearly zero (0.140). GGE biplot showed genotype CO4656 was stable genotype under tested environments.

🔖

Cite This Article

KANDEL, M., DHAMI, N. B., RIJAL, T. R., SHRESTHA, J. (2020). Grain yield stability of promising proso millet (Panicum miliaceum L.) genotypes for hilly region of Nepal. Turkish Journal of Food and Agriculture Sciences, Cilt: 2 - Sayı: 1, 5–11. https://ajindex.com/articles/808752

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Adhikari, B.N., Pokhrel, B.B., & Shrestha, J. (2018). Evaluation and development of finger millet (Eleusine coracana L.) genotypes for cultivation in high hills of Nepal. Farming and Management, 3(1): 37-46
  2. Dai, H. P., Jia, G.L., Lu, C., Wei, A. Z., Feng, B.L., & Zhang, S. Q. (2011). Studies of synergism between root system and leaves senescence in Broomcorn millet (Panicum miliaceum L.). J Food, Agric Environ, 9 (2), 177-180.
  3. Dimitrios, B., Christos, G., Jesus, R., & Eva, B. (2008). Separation of cotton cultivar testing sites based on representativeness and discriminating ability using GGE biplots. Agronomy Journal, 100, 1230-1236.
  4. Ding, M., Tier, B., & Yan, W.K. (2007). Application of GGE biplot analysis to evaluate genotype (G), environment (E) and G×E interaction on P. radiata: Case study. In: Australasian Forest Genetics Conference, 11-14, April 2007.
  5. The Old Woolstore, Hobart, Tasmania, Australia. Durovic, D.S., Madic, M.R., Bokan, N.R., Stevovic, V.I., Tomic, D.D., & Tanaskovic, S.T. (2014). Stability parameters for grain yield and its component traits in maize hybrids of different FAO maturity group. Journal of Central European Agriculture, 15(4), 99-212.
  6. Eberhart, S.A., & Russell, W.A. (1966). Stability parameters for comparing varieties. Crop Science, 6(1), 36-40.
  7. Gauch, H.G., & Zobel, R.W. (1997). Identifying mega-environments and targeting genotypes. Crop Sci., 37, 311-326.
  8. Ghimire, K.H., Joshi, B.K., Dhakal, R., & Sthapit, B.R. (2018). Diversity in proso millet (Panicum miliaceum L.) landraces collected from Himalayan mountains of Nepal. Genet Resour Crop Evol., 65, 503-512.
  9. Ghimire, N.H., & Mandal, H.N. (2019).
  10. Genetic Variability, Genetic Advance, Correlation and Heritability of Cold Tolerance Lentil (Lens culinaris Medic.) Genotypes at High Hill of Nepal. Int. J. Adv. Res. Biol. Sci., 6(11), 1-10.
  11. Gomez, K.A., & Gomez, A. (1984). Statistical Procedure for Agricultural Research-Hand Book. John Wiley and Sons, New York. HCRP (2018).
  12. Annual report, Hill Crops Research Program (HCRP), Kabre, Dolakha, Nepal. HCRP (2019).
  13. Annual report, Hill Crops Research Program (HCRP), Kabre, Dolakha, Nepal. HCRP (2020).
  14. Annual report, Hill Crops Research Program (HCRP), Kabre, Dolakha, Nepal. HRS (2018). Annual Report of Horticultural Research Station, Rajkot, Jumla, Nepal. HRS (2019). Annual Report of Horticultural Research Station, Rajkot, Jumla, Nepal. HRS (2020). Annual Report of Horticultural Research Station, Rajkot, Jumla, Nepal. Hussain, S.K. (1997).