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Participatory Varietal Selection of Fieldpea (2019--2020)

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

S. KOBIR
Pulses Research Centre, RARS, BARI, Ishurdi, Pabna

M. S. UDDIN
Pulses Research Centre, RARS, BARI, Ishurdi, Pabna

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

R. UDDIN
Pulses Research Centre, RARS, BARI, Ishurdi, Pabna

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

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

R. U. CHOUDHURY
Pulses Research Centre, RARS, BARI, Ishurdi, Pabna

Abstract/ Executive Summary:

The experiment was carried out to evaluate the performance of two fieldpea genotypes along with check BARI Motor-1 and BARI Motor-3 for yield and yield-related traits in five locations at farmers’ fields during Rabi 2019-20. Considering mean data for both days to flower and maturity BFP 11016 was found earlier. From the mean data across locations, BARI Motor-1 gave the highest pods per plant. The genotype BFP 11017 gave the highest mean seed and according to GGE biplot, it was also found to have stability across the locations. Considering duration, higher yield, stability parameter, and farmers’ preference BFP 11017 was selected to release as a variety.

Keywords: Fieldpea, Farmers, Participatory variety selection, Evaluation

Location: Pulses Research Centre at farmers’ fields of Pabna, Gazipur, Jashore, Madaripur, and Barishal.

Start Date: 00-00-2019

End Date: 00-00-2020

Program Area: Variety and Species

Commodity: Pea

Objectives:

This program has been undertaken to evaluate the promising field pea lines acceptability at the farmers’ level across locations.

Methodology:

Two advanced entries of fieldpea were grown against the check varieties BARI Motor-1 and BARI Motor-3 in Rabi, 2019-20 under Pulses Research Centre at farmers’ field of Pabna, Gazipur, Jashore, Madaripur, and Barishal. The genotypes were BFP 11016 and BFP 11017. The experiment was laid out in an RCB design with three replications with a spacing of 50 cm between rows. Spacing between two plots was 100 cm. Each entry was sown in 10 rows of 4 m long plots. Seeds were sown from late November to early December 2019 in the rows carefully by hands about 3 cm depths and then covered by soils. Post sowing irrigation was given to ensure seed germination. Mulching was done and soil crusts were broken. Weeding was done to keep the plots free from weeds. Each of the entries was investigated from seedling to harvest and compared with checks. At maturity, the best individual lines were selected on the basis of plant type, disease reaction, insect susceptibility, and higher yield. Yield contributing characters were taken from the 10 randomly selected plants from the middle rows of each plot. Grain yield was recorded from the whole plot and converted into kg/ha, other yield contributing data were recorded from ten randomly selected plants. Data were analyzed statistically by using Statistics-10 software and only the trait yield was subjected to analysis of the GGE biplot model of stability analysis using PBTools software.

Source of Information: Annual Research Report 2019-2020, Pulses Research Centre, RARS, BARI, Ishurdi, Pabna

Article Link (Online Journal):

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

Different genotypes of fieldpea showed significant or nonsignificant variation among all the parameters across all the environments. The genotype BFP 11016 flowered earlier (51 days) considering the mean values of five locations. Among the locations, most of the genotypes flowered earlier (Range: 41-62 days) in Barishal, and in Jashore it was late (Range: 48-72 days). BFP 11016 also matured earlier (97 days) considering the mean values. In the case of locations, all the genotypes comparatively matured earlier in Pabna (range: 90-95 days). Mean plant height was maximum in BFP 11017 (127 cm) and minimum in BFP 11016 (115 cm). Comparatively taller plants were observed in Barishal and shorter in Pabna. The mean highest pod per plant was recorded from BARI Motor-1 (30) and lowest from genotype BFP 11016 (23). The number of pods varied from location to location. At Barishal, it was maximum ranging 28-37 whereas in Madaripur it was minimum with a range of 16-24. The mean highest 100 seed weight was recorded from BFP 11016 (14.06 g) and lowest from BARI Motor-1 (6.96 g). The genotype BFP 11017 gave the highest mean seed yield (1354 kg/ha) across the locations. Compared to five locations, almost all the genotypes produced higher yield (Range: 1225-1932 kg/ha) in Pabna and comparatively lower yield (range: 838-1066) recorded in Madaripur.

GGE biplot analysis was done to find out stable genotypes among locations. GGE biplot is exploited for the graphical display of the G×E pattern of yield trial data with several advantages. The yield of each cultivar in a tested environment is a result of the genotypic main effect (G), environmental main effect (E), and genotype × environment (GE) interaction in the biplot. In this experiment, the first two PCs of the GGE model explained 99.6% of the variation in G+GE. The polygon view of the GGE-biplot analysis helps to detect genotype-by-environment interaction and possible mega environments in multi-location yield trials. Here, four genotypes represented a polygon and most of the genotypes were the vertex genotypes, in corner of the polygon. They are best in the environment lying within their respective sector in the polygon view of the GGE-biplot; thus these genotypes are considered specifically adapted i.e. most responsive genotypes. The environments fall into three and the genotypes fall into four quadrants. Among the tested locations, Jashore and Barishal had larger environmental vectors reflecting a high capacity to discriminate the genotypes therefore these should be regarded as the most suitable to select widely adapted genotypes. Vertex genotype BARI Motor-1 performed better in Madaripur where BFP 11017 best adapted to Pabna, Gazipur, and Barishal. In the GGE biplot, genotypes with high PC1 scores have a high mean yield, and those with low PC2 scores have stable yield across environments. Hence, Genotype no. 2 (BFP 11017) close to the origin of axes had wider adaptation i.e. most stable genotype. Though BARI Motor-3 provided also better yield but considering the stability parameters in biplot, BFP 11017 showed the best stable performances suggesting its adaptation to a wide range of environments with a comparatively higher yield.

Knowledge Management: Report/Proceedings