Genetic study and selection of soybean lines for higher yield

Paper Details

Research Paper 01/02/2016
Views (1008)
current_issue_feature_image
publication_file

Genetic study and selection of soybean lines for higher yield

A.K.M.S. Islam, U.K. Nath, P.K. Rai, M.M. Rahman, M.A. Haque, M.A. Rahman
Int. J. Biosci. 8(2), 209-217, February 2016.
Copyright Statement: Copyright 2016; The Author(s).
License: CC BY-NC 4.0

Abstract

Soybean (Glycine max L. Merrill) is a foremost source of oil and protein worldwide. The demand of soybean has increased tremendously in Bangladesh though the yield cannot keep pace with the growing demand due to differences in varietal performance. Therefore, the present study has been undertaken to assess the morphological features and yield attributes of different soybean genotypes which may help in estimating the heritability and genetic advances of yield and yield components among different soybean genotypes. A field experiment was conducted during Rabi season with 10 soybean genotypes using randomized complete block design with three replications. Nevertheless, all of the studied characters revealed significant divergence among different soybean genotypes. The genotypes BARI Soybean-5, BAU-S/147, AV-14, Sohag, BAU-S/109 and AV-78 produced high yield per plant. The genotype BAU-S/70 was the tallest one and AV-14, AV-73 and Sohag were early maturing genotypes. High genotypic and phenotypic variance were observed for flowers per plant, pods per plant, plant height and days to maturity whereas low genotypic and phenotypic variance were recorded for harvest index, seeds per pod, 100 seed weight and branches per plant. High heritability values accompanied with high genotypic coefficient of variation and high genetic advance as percentage of mean were also observed for harvest index, yield per plot, yield per plant, seeds per pod, pods per plant, flowers per plant, plant height and branches per plant. The findings of the study will play a pivotal role in selection of superior soybean genotypes in terms of yield and yield components for further genetic improvement.

Agarwal  AP,  Patli  SA,  Salimath  PM.  2001. Correlation of some quantitative characters with seed yield in soybean. Journal of Maharashtra Agricultural University, Dharwad, India 26(3), 291-293.

Chamundeswari N, Aher RP. 2003. Characters association and component analysis in soybean (Glycinesoybean) (Glycine max, L. Merrill). Mahatma Phule Krishi Vidyapeth. Ahmed Nagar, India. 19(2), 199-203.

BBS (Bangladesh Bureau of Statistics). 2010. Monthly Statistical Bulletin of Bangladesh. Bangladesh Bureau of Statistics. Stat. Div., Ministry of Planning. Gov. Peoples Repub. Bangladesh, Dhaka. 254 P.

Bhandarkar S. 1999. Studies on genetic variability and correlation analysis in soybean (Glycine max L. Merrill). Mysore Journal of Agricultural Sciences. 33(3), 130-132.

Burton GW, Devane EH. 1953. Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agronomy Journal. 45(10), 478-481. http://dx.doi.org/10.2134/agronj1953.00021962004 500100005x

FAO, F. 2013. Statistical Yearbook 2013: World Food and Agriculture. Food and Agriculture Organization of the United Nations, Rome. 289.

Gawandi VB, Guha SN, Mohan H, Mittal JP. 2002. Kinetic and redox characteristics of semireduced species derived from phenosafranine in homogeneous aqueous and sodium dodecyl sulfate micellar media. International journal of chemical kinetics 34(1), 56-66. http://dx.doi.org/10.1002/kin.10024

Goulden CH. 1939. Methods of statistical analysis.

Hanson CH, Robinson HF, Comstock RE. 1956. Biometrical studies of yield in segregating populations of Korean Lespedeza. Agronomy Journal. 48(6), 268-272. http://dx.doi.org/10.2134/agronj1956.00021962004 800060008x

Jagdish S, Pannar RP, Yadav HS, Singh J. 2000. Assessment of genetic variability and selection parameters in early generation of soybean. Advancement in Plant Science 13, 227-232.

Jain PK, Ramgiry SR. 2000. Genetic variability of metric traits in Indian germplasm of soybean (Glycine max (L.) Merrill). Advances in Plant Sciences. 13(1), 127-31.

Jonsson P. 1959. Investigations on group feeding versus individual feeding and on the interaction between genotype and environment in pigs. Acta Agriculturae Scandinavica. 9(2), 204-28. http://dx.doi.org/10.1080/00015125909434247

Khan A, Hatam M, Khan A. 2000 Heritability and interrelationship among yield determining components of soybean varieties. Pakistan Journal of Agricultural Research 16(1), 5-8.

Mallarino AP, Haq MU, Wittry D, Bermudez M.  2001.  Variation  in  soybean  response  to  early season foliar fertilization among and within fields. Agronomy journal 93(6), 1220-6. http://dx.doi.org/10.2134/agronj2001.1220

Mehetre SS, Shinde RB, Borle UM, Surana PP. 1997. Correlation and path analysis studies of partitioning in root growth and yield characters in soybean (Glycine max (L.) Merrill). Crop research-HISAR.13, 415-422.

Praneetha S, Thamburaj S. 1997. Variability, heritability, genetic advance and path analysis in vegetable soybean (Glycine max L. Merrill). South Indian horticulture 45, 115-119.

Salimi S, Moradi S, Nezhad KA, Ahmed JO. 2013 Effect Quantitative Traits in Soybean Genotypes (Glycol Max L.) Under Drought Stress Condition. International Journal of Agriculture and Crop Sciences 5(5), 544.

Srinives P, Chowdhury AK, Tongpamnak P, Saksoong P. 2001 Genetic diversity based on morphology and RAPD analysis in vegetable soybean. Korean Journal of Crop Science 46(2), 112-120.

Related Articles

Evaluation of the effectiveness of some plant extracts against cowpea charcoal rot

Manan Djamila Baikoro*, Dianyagou Paul Ouali, Wendoléan Romain Soalla, Pawindé Elisabeth Zida, Bouma James Neya, Marie Laure Guissou, Int. J. Biosci. 28(6), 118-127, June 2026.

Physicochemical profiling and quality evaluation of commercial mustard oils brands in Bangladesh: Indicators of stability and consumer safety

Umme Salma Nahida, Md. Al-Amin Mia, Afroza Bashar*, Tauhida Tasnim, Marjina Akter, Int. J. Biosci. 28(6), 108-117, June 2026.

Optimizing soybean (Glycine max L. Merr.) performance through rhizobial inoculation and planting density in Kétou, Benin

Mahougnon Charlotte Carmelle Zoundji*, Ibouraïman Balogoun, Pascal Gbenou, Tobi Moriaque Akplo, Carlosse Djeho, Félix Kouélo Alladassi, Int. J. Biosci. 28(6), 99-107, June 2026.

Genetic admixture and the philosophy of diplomacy in central Asia: Evidence from intercultural dialogue, governance and genomic data

Shafee Ur Rehman, Waqar Ahmed Khan, Iqra Jamil, Muhammad Abdullah, Int. J. Biosci. 28(6), 89-98, June 2026.

Synthesizing and integrating environmental awareness and bio-intensive gardening under the Gulayan sa Paaralan (SIBUG) extension project

Violeta F. Collado*, Analyn V. Sagun, Angelina T. Gonzales, Marilyn D. Respicio, Int. J. Biosci. 28(6), 82-88, June 2026.

Diversity of insects related to maize (Zea mays) production in Ferkéssédougou region, Côte d’Ivoire

Fondio Drissa, Dao Hassane, Soro Lacina*, Sib Ollo, Kouadio Roger Hosphade Kouassi, Soro Senan, Yeboue N’guessan Lucie, Int. J. Biosci. 28(6), 75-81, June 2026.

Diuretic activity assessment of an aqueous extract of Zanthoxylum gilletii (Rutaceae) stem bark in rats

Akoua Jeanne Kanga*, Essoi Kouametchi Hermann, Françoise Assamala Fossou, Kacou Jules Marius Djetouan, Kouao Augustin Amonkan, Int. J. Biosci. 28(6), 68-74, June 2026.

Phytochemical investigation and in vitro evaluation of cholinesterase inhibitory and antioxidant properties of Aglaonema hookerianum stems

K. M. Monirul Islam, Simin Shabnam Lopa, Joya Rani, Md. Aslam Sheikh, Md. Golam Sadik*, Int. J. Biosci. 28(6), 60-67, June 2026.