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Participatory Variety Selection of Lentil

M. G. AZAM
Pulses Research Centre, BARI, Ishurdi, Pabna

M. J. ALAM
Pulses Research Centre, BARI, Ishurdi, Pabna

M. B. ANWARM
Pulses Research Centre, BARI, Ishurdi, Pabna

M. M. HOSSAIN
Pulses Research Centre, BARI, Ishurdi, Pabna

M. Z. HOSSAIN
Pulses Research Centre, BARI, Ishurdi, Pabna

A.K.M. ALAM
Pulses Research Centre, BARI, Ishurdi, Pabna

M. HOSSAIN
Pulses Research Centre, BARI, Ishurdi, Pabna

Abstract/ Executive Summary:

The experiment was carried out for evaluation the performance of five genotypes for yield and yield contributing characters and also determination of yield stability at farmers’ field of four different locations viz.Pabna, Joydebpur Barishal and Jashore during Rabi, 2017-18. Significant variations were observed for days to flower, days to maturity, pods plant^-1, 100 seed weight and yield in kg ha^-1. Among the genotypes, LRIL 22-70 was flowered earlier followed by BLX 09015 and also showed earlier maturity. Maximum 100 seed weight was observed in BLX 09015 followed by LRIL 22-70.Considering yield potentiality, early maturity and stability parameters, the advance line LRIL 22-70 release as a variety.

Keywords: Lentil, Participatory variety selection, Entry

Location:

Start Date:

End Date:

Program Area: Variety and Species

Commodity: Lentil

Objectives:

Considering this fact current program has been undertaken to evaluate the promising lines with direct involvement by farmers to create more acceptability at grower level.

Methodology:

The experiment consisted of five entries including BARI Masur-6 and BARI Masur-7 as check. It was conducted at farmers’ field of four locations, Pushpapara, Pabna, RARS Jashore, Rahmatpur, Barishal and PRSS, Gazipur during Rabi 2017-18 in a RCB design with 3 replications. Each entry was sown in unit plot of 10 rows X 4 m long with a spacing of 40 cm between rows. The spacing between the two plots were 40 cm. Seeds were sown in the rows carefully by hands at 3 cm depth and covered by soils. Post sowing irrigation was given to ensure seed germination. Mulching was done and crusts were broken. Weeding was done to keep the plots free from weeds. Each of the entries was observed seedling to harvest and compared with checks. Grain yield was calculated from the plot. Yield contributing characters were taken from the 10 randomly selected plants from the middle rows of each plot. Data were analyzed statistically by using MSTAT-C and R-program.

Source of Information: Annual Research Report, 2017 - 2018, Pulses Research Centre, BARI, Ishurdi, Pabna

Article Link (Online Journal):

Funding Source:

1.

Budget:

Total Budget (Tk.) :

Achievement/Findings:

There was a significant variation among the genotypes regarding days to flower, days to maturity, pods per plant, 100 seed weight and yield in kg per hectare (Table 2.12). In case of flowering and maturity among the four locations, genotypes performed a bit earlier at Rahmatpur, Barishal followed by Joydebpur. Among the genotypes, LRIL 22-70 was flowered earlier followed by BLX 09015 and also showed earlier maturity. Among the test entries, LRIL 22-70 followed by BLX 09015 was most dwarf one. The entry, BLX 04005-9 showed the highest numbers of pods/plant along with chock varieties. Apart from these, the highest seed weight was observed in BLX 09015 followed by LRIL 22-70 and lowest from BARI masur-7 from the mean values of four locations. In the case of yield performance over locations, none of the tested entries out yielded BARI masur-7, but BLX 09015 and BLX 04005-9 performed better followed by LRIL 22-70 comparing with BARI masur-6. Among the locations, Pabna and Jashore showed high potentiality having better yield comparing to Joydebpur and Rahmatpur, respectively. GGE biplot analysis was done to find out stable genotypes among locations. GGE biplot is exploited for the graphical display of G×E pattern of yield trial data with several advantages. The yield of each genotype in a tested environment is a result of the genotypic main effect (G), environmental main effect (E) and genotype × environment (GE) interaction (Yan and Kang, 2002). In this experiment, the first two PCs of the GGE model explained 97% of the variation in G+GE. Six genotypes represent a polygon and the genotypes corner of the polygon most responsive genotypes (Fig.3). The genotypes BARI masur-6 showed most interaction with the environment followed by BARI Masur-7. All the entries distributed into four sectors. Among the tested location, Jashore and Ishurdi had larger environmental vectors indicating high discriminating ability. Considering biplot analysis and yield data, genotypes BLX04005-9and BLX09015 showed stable performance across the locations. GGE biplot of yield showed entry BLX 04005-9and LRIL 22-70 was more stable genotype overall the locations. Considering yield potentiality, early maturity and stability parameters, the advanced line LRIL 22-70has been released as a variety named BARI Masur-9. Another promising line, BLX 04005-9 will be preserved in the pipeline for release in the future.

Knowledge Management: Report/Proceedings