Revealing the Yield and Quality Responses of Soybean Advanced Lines under Semi-Arid Conditions

Muhammad Altaf, Sehrish Sarwar, Junaid Iqbal, Sajid ur Rahman, Hafiz Saad Bin Mustafa, Shahid Nazir, Imran Habib, Muhammad Nawaz

Abstract


Background: Soybean as human diet is a rich source of protein and oil. It also plays a vital role in livestock and poultry industries. Objective of this work is to exploit the local soybean germplasm for semi-arid conditions.

Methods: The experiment was conducted in Randomized Complete Block Design with three replications. Plant × plant and row × row distance was maintained as 4 inch and 1ft respectively. At maturity data for plant height, days to 50% flowering, no. of branches, no. of pods, grains per pod and grain yield per hectare were recorded.  Furthermore, oil percentage, protein percentage, omega-3, omega-6, omega-9, palmitic acid and stearic acids were also measured.

Results: All genotypes showed highly significant difference from each other for selected traits. Grain yield per hectare was significant in genotypes such as CN-5, FS-10, E-402 and SH-1274 as compared to Faisal soybean (check). Protein and oil percentage were significantly more in CN-5, HS-17 and FS-10. Branches per plant significantly correlated with the yield but protein and oil percentage negatively correlated with each other. PCA indicated that only four out of 13 PCAs exhibited more than 1 Eigen value and showed 76.53 % variation. All traits for yield and quality were presented in PCA1, PCA2 and PCA3. Biplot indicated that genotype CN-5, SH-1274 and HB-17 falls in the positive portion that perform good.

Conclusion: Soybean genotypes CN-5 and FS-10 showed the more yield with high protein and oil percentage as compared to check variety and could be used in semi-arid environments.

Keywords: Oilseeds; Soybean; Semi-arid; Yield; Quality    


Full Text:

PDF

References


Yan C, Song S, Wang W, Wang C, Li H, Wang F, Li S, Sun X. Screening diverse soybean genotypes for drought tolerance by membership function value based on multiple traits and drought-tolerant coefficient of yield. BMC Plant Biology, (2020); 20(1):1-5.

Fried HG, Narayanan S, Fallen B. Evaluation of soybean [Glycine max (L.) Merr.] genotypes for yield, water use efficiency, and root traits. PLOS One, (2019); 14(2):1-18.

Pakistan Bureau of Statistic (PBS). Soybean import bill of Pakistan 2018-19. 2018-19.

Pakistan Bureau of Statistic (PBS). Soybean import bill of Pakistan 2018-19. 2020-21.

Lekota MP, Morojele ME, Motanyane MS. Assessment of Yield and Yield Components of Soya-Bean (Glycine Max (L.) Merril) Grown Under Conventional Agronomic Practices of Lesotho. Global Journal of Agricultural Research, (2021); 9(1): 1-7.

Ulloa SM, Datta A, Malidza G, Leskovsek R, Knezevic SZ. Yield and yield components of soybean [Glycine max (L.) Merr.] are influenced by the timing of broadcast flaming. Field crops research, (2010); 119(2-3): 348-54.

Ghanbari S, Nooshkam A, Fakheri BA, Mahdinezhad N. Assessment of yield and yield component of soybean genotypes (Glycine max L.) in north of Khuzestan. Journal of Crop Science and Biotechnology, (2018); 21(5): 435-41.

Khatoon S,Ali Q. Biodiversity of the semi-arid and arid regions of Pakistan: Status, threats, and conservation measures,Annals of Arid Zone, (2004); 43: 277–291.

Dao A, Sanou J, Gracen V, Danquah EY. Selection of Drought Tolerant Maize Hybrids Using Path Coefficient Analysis and Selection Index. Pakistan Journal of Biological Sciences, (2017); 20(3):132-9.

Li M, Liu Y, Wang C, Yang X, Li D, Zhang X, Xu C, Zhang Y, Li W, Zhao L. Identification of traits contributing to high and stable yields in different soybean varieties across three Chinese latitudes. Frontiers in Plant Sciences,(2020); 10:1-14.

Steel, R.G.; Torrie, J.H.; Dickey, D.A. Principles and Procedures of Statistics, a Biometrical Approach; McGraw-Hill: New York, NY, USA, (1997).

Khan MS, Karim MA, Haque MM, Karim AJ, Mian MA. Growth and dry matter partitioning in selected soybean (Glycine max L.) genotypes. Bangladesh Journal of Agricultural Research,(2015); 40(3): 333-45.

Khan HZ, Shabir MA, Ishaq M, Abrar M, Ul A, Asad HM, Iqbal A, Saleem MF, Mukhtar A. Growth and yield response of different soybean genotypes under semi-arid conditions of Faisalabad.Journal of agriculture and Basic Sciences, (2019); 4(3): 1-6.

Arshad M, Ali N, Ghafoor A. Character correlation and path coefficient in soybean Glycine max (L.) Merrill. Pakistan Journal of Botany, (2006); 38(1): 121-130.

Ali A, Iqbal Z, Safdar ME, Ashraf M, Aziz M, Asif M, Mubeen M, Noorka IR, Rehman A. Comparison of yield performance of soybean varieties under semi-arid conditions. Journal of Animal and Plant Science, (2013); 23(3): 828-32.

Aondover S, Lekan BL, Terkimbi V. Correlation, path coefficient and principal component analysis of seed yield in soybean genotypes. International Journal of Advanced Research, (2013); 1(7): 1-5.

Neelima G, Mehtre SP, Narkhede GW. Correlation coefficient and path analysis studies in soybean (Glycine max (L.) Merrill.). Multilogic in Science, (2017); 7(23): 1-14.

Shree Y, Ram S, Bhushan S, Verma N, Ahmad E, Kumar S. Correlation between yield and yield attributing traits in soybean (Glycine max (L.) Merrill). Journal of Pharmacognosy and Phytochemistry,(2018); SP1: 298-301.

Dubey N, Avinashe HA, Shrivastava AN. Principal component analysis in advanced genotypes of soybean [Glycine max (L.) Merrill] over seasons. Plant Archives, (2018); 18(1): 501-506.


Refbacks

  • There are currently no refbacks.