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Evaluation and Selection of Promising Soybean Lines in Diverse Environments

M. A. Malek
MS Fellow
Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture (BINA) BAU Campus, Mymensingh-2202, Bangladesh,

Abstract/ Executive Summary:

An experiment was conducted to evaluate the performance of eight selected soybean lines along with two check varieties in respect of maturity period, seed yield and yield contributing characters at five different locations during rabi season of 2007. Except number of seeds per pod, other yield contributing characters, seed yield and maturity period showed significant variations both in individual location and combined over locations. Among the lines and check varieties BAU-S/64 produced the highest number of branches per plant (4.7) while the check variety Sohag produced the lowest (2.8). Bangladesh soybean-4 produced the highest number of pods per plant (61). The seed yield of BAU-S/69 was the highest (2920 kg/ha) followed by BAU-S/64 (2721 kg/ha) while BAU-S/5 produced the lowest seed yield (2049 kg/ha). Among the five locations, the highest mean seed yield of 3167 kg/ha was produced at Chandpur followed by Mymensingh (2790 kg/ha) and Noakhali (2538 kg/ha). The lowest seed yield was recorded at Ishurdi (1363 kg/ha).

Keywords: Soybean, Performance, Promising lines, Environments

Location: Bangladesh Institute of Nuclear Agriculture

Start Date: 01-05-2008

End Date: 30-06-2010

Program Area: Variety and Species

Commodity: Soybean

Objectives:

To evaluate the performance of eight selected promising soybean lines as compared to two check varieties in respect of maturity period, seed yield and yield contributing characters at five different locations.

Methodology:

Eight promising soybean lines namely BAU-S/5, BAU-S/21, BAU-S/54, BAU-S/64, BAU-S/69, BAU-S/70, BAU-S/80 and BAU-S/83 along with two check varieties Sohag and Bangladesh soybean-4 (BDS-4) were collected from the Department of Genetics and Plant Breeding, Bangladesh Agricultural University (BAU), Mymensingh. These materials were put into trial at Bangladesh Institute of Nuclear Agriculture (BINA) hqs. farm, Mymensingh, BINA sub-station farms at Ishurdi and Magura, and at Haimchar upazila of Chandpur and sadar upazila of Noakhali districts during rabi season of 2007-’08. The trial was laid out in a randomized complete block design with three replications. Spacing was 30 cm between rows and 5-7 cm between plants in a row. Unit plot size was 19.5 m² (5 m x 3.9 m). Sowing was done within the last week of December 2007 and first week of January 2008. Recommended production practices including application of fertilizers were followed to ensure normal plant growth and development. Data on various characters, such as plant height, number of primary branches and pods per plant, number of seeds per pod were taken from 10 randomly selected plants from each plot. Maturity period was counted when stem and pod of each plot turned into yellowish brown colour and almost all the leaves were shed in each plot. Seed yield of each plot was recorded and then converted into kg/ha. Appropriate statistical analyses were performed with the plot mean data of each character. Mean differences of different traits were tested by Duncan’s Multiple Range Test.

Source of Information: J. Bangladesh Agril. Univ. 8(2): 187–190, 2010

Article Link (Online Journal):

Funding Source:

1. Government

Budget: 500000

Total Budget (Tk.) : 500000

Achievement/Findings:

Except number of seeds per pod all other characters showed significant variations both in individual location and combined over locations. Four lines i. e., BAU-S/54, BAU-S/64, BAU-S/69 and BAU-S/83 produced significantly taller plants than the other four lines and the check varieties, which showed similarity with the findings of Chandankar et al. (2002). BAU-S/64 produced the highest number of branches (6.1) in Chandpur while the lowest was found in the control variety Sohag (2.2) at Magura. Combined analysis over five locations showed that BAU-S/64 and BAU-S/69 produced higher number of branches per plant i. e., 4.7 and 4.1, respectively while the control variety Sohag produced only 2.8 branches per plant. Number of pods per plant, the important yield contributing character in legume, was the highest in BDS-4 (74) at Mymensingh and the lowest in BAU-S/21 (28) at Ishurdi. Combined means over locations showed that BDS-4 produced the highest number pods per plant (61) followed by BAU-S/64 and BAU-S/69 (51) while the lowest number in BAU-S/83 (38). Number of seeds per pod, the another important yield component, showed insignificant difference among the lines in all the individual location except at Ishurdi. At Ishurdi, BAU-S/69, BAU-S/70 and BAU-S/80 produced the highest number of 2.9 seeds per pod while the lowest number was in BAU-S/54 (2.3). BDS-4 took the shortest maturity period (99 days) at Noakhali while the highest of 149 days was recorded in BAU-S/69 at Ishurdi. Combined means over locations showed that BDS-4 had the shortest maturity period (108 days) followed by BAU-S/21 and BAU-S/80 (109 days) while BAU-S/5 needed the longest maturity period of 128 days.BAU-S/69 produced the highest seed yield of 4144 kg/ha at Mymensingh while BAU-S/70 produced the lowest seed yield (1040 kg/ha) at Ishurdi. Combined means over locations showed that BAU-S/69 produced the highest seed yield of 2920 kg/ha followed by BAU-S/64 (2721 kg/ha). BAU-S/21, BAU-S/80 and BDS-4 produced statistically insignificant seed yield with each other i. e., 2485 kg/ha, 2523 kg/ha and 2552 kg/ha, respectively. Among the five locations, the highest mean seed yield of 3167 kg/ha was produced at Chandpur followed by Mymensingh (2790 kg/ha) and Noakhali (2538 kg/ha) with higher number of pods per plant. Ishurdi produced the lowest seed yield of 1363 kg/ha with the highest maturity period of 133 days. Over the five locations, BAU-S/69 was the best performer followed by BAU-S/64 than the other lines and the check varieties regarding seed yield and yield contributing characters. It could be concluded that more trials both at research field and farmer’s field with wider agro-ecological regions would give more precise information to select the best one.

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