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Preliminery Yield Trial of Lentil (set-i) (2016--2017)

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

M. B. ANWAR
Pulses Research Centre, RARS, BARI, Ishurdi, Pabna

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

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

Abstract/ Executive Summary:

The experiment was carried out to determined the performance of six genotypes for yield and yield contributing characters, stability and reaction against a disease that was evaluated in four different locations viz. Ishurdi, Gazipur, Jessore and Madaripur during Rabi, 2016-17. The genotypes were BLX-1001-1, BLX-01002-12, BLX-01002-15, BLX-01002-20 and two check varieties BARI Masur-5 and BARI Masur-7. The highest number (75) of pods/plant was found in BARI Masur-7 followed by BARI Masur-5 (64) and BLX-1001-1(47). Large seed size was observed in BLX-1001-1 and BLX-1002-20 followed by BLX-01002-12 and BLX-01002-15. The highest mean yield (1170 kg/ha) was found in BARI Masur-7 (1170kg/ha) and BLX-1001-1 (1140kg/ha) followed by BARI Masur-5(1037kg/ha) and BLX-1002-20 (981kg/ha).The test entries BLX-1001-1 and BLX-1002-20 are performed well.

Keywords: Footrot, Stemphylium blight, Lentil

Location: Pulses Research Centre, Ishurdi, RARS Jessore, RPRS Madaripur and Gazipur

Start Date: 00-00-2016

End Date: 00-00-2017

Program Area: Variety and Species

Commodity: Lentil

Objectives:

After evaluation of genotypes in a suitable location, it is necessary to evaluate them in the Regional Yield Trial in a single or multiple location(s) to assess their performance.

Methodology:

The experiment consisted of six entries including BARI Masur-5 and BARI Masur-7 as check. It was conducted at four locations, Pulses Research Centre, Ishurdi, RARS Jessore, RPRS Madaripur and Gazipur during Rabi 2016-17 (16 to 23 November) in a RCB design with 3 replications. Each entry was sown in unit plot of 6 rows X 4 m long with a spacing of 40 cm between rows. Spacing between two plots was 40 cm. Seeds were sown in the rows carefully by hands at 3 cm depth and then 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 investigated from seedling to harvest and compared with checks. Disease scoring scale(0-5) used for rating of stemphylium blight as 0 = No infection, 1 = Few scattered leaf infection but no twig blighted, 2 = 5-10% leaflet infection and/few scattered 1% twig blighted, 3 = 11-20% leaflet infection and /or 1-5% twig blighted, 4 = 21-50% leaflet infections and /or 6-10% twig blighted and 5 = 51% leaflet infection and/or 10% twig blighted developed by Bakr and Ahmed(1992). Footrot scoring in percentage (%). Grain yield was calculated from the whole plot. At maturity, the best individual lines were selected on the basis of earliness, disease reaction and higher yield. Yield data was recorded from the whole plot and converted into kg/ha. Yield contributing characters were taken from the 10 randomly selected plants from the middle rows of each plot. The statistical analysis was done using CROPSTAT program AMMI Model of stability analysis and G x E analysis. Each genotype was defined by three values 1) Mean yield across the environment 2) linear regression (b values) of genotype mean yield in each environment and 3) The mean square deviation from the regression of each genotype.

Source of Information: Annual Research Report 2016-2017, Pulses Research Centre, RARS, BARI, Ishurdi, Pabna

Article Link (Online Journal):

Funding Source:

1.

Budget:

Total Budget (Tk.) :

Achievement/Findings:

Significant differences among the genotypes were observed in the case of days to flower, days to maturity, pods/plants, plant height and yield/ha. There was a significant variation also found in the number of pods per plant. The highest number (75.00) of pods/plant was found in BARIMasur-7 followed by BARI Masur-5 (64.00) and BLX-1001-1 (47.00). Large seed size was observed in BLX-1001-1 and BLX-1002-20 followed by BLX-01002-12 and BLX-01002-15. The highest mean yield (1170 kg/ha) was found in BARI Masur-7 (1170kg/ha) and BLX-1001-1(1140kg/ha) followed by BARI Masur-5 (1037kg/ha) and BLX-1002-20 (981kg/ha). The lowest disease score was observed in BARI Masur-7, BARI Masur-5, BLX-1001-1 and BLX-1002-20 followed by others. The test entries BLX-1001-1 and BLX-1002-20 were performed comparatively well. AMMI biplot analysis was done to find out stable genotypes among locations. The AMMI model demonstrates an adequate fit to the data as the first Interaction Principle Component Axis (IPCA) was significant. In this experiment, the first two PCs of the AMMI model explained 99.65% of the variation in G+GE. The regression coefficient ranged from 0.6635 (for genotype BLX-01002-12) to 1.4619 (for genotype BARI Masur-7). Two genotypes had regression co-efficient greater than 1.0 they were, therefore, sensitive to environmental changes in respect of yield. However, four genotypes (BARI Masur-5, BLX-10002-12, BLX-10002-15 and BLX-10002-20) had a regression coefficient less than 1.0. These genotypes were relatively better adapted to the poor environments and were insensitive to environment changes in respect of yield. Such genotypes could be recommended only for cultivation for unfavorable conditions. However, one of the promising genotypes (BLX-10002-20) having regression co-efficient closer to unity (0.9726) with more yield than the overall genotypes mean suggest that it could be recommended for cultivation under any type of environments for higher yield. Therefore, this genotype can be selected as stable over the environments. Regarding Mean square Deviation the genotypes BLX-10002-12 and BLX-10002-15 possess minimum values therefore, these two genotypes are more stable across the environments. AMMI biplot technique was used to identify appropriate genotypes to special environments. The IPCA scores of genotypes in the AMMI analysis are an indication of adaptability over environments. The closer IPCA scores are to zero, the more stable the genotypes across their testing environments. In AMMI 1 biplot, IPCA 1 score of genotype and environment were plotted against their respective mean yield. The magnitude and signal of the scores of the IPCA 1 were observed for interpretation of the biplot.

Since IPCA 1 and IPCA 2 scores play a significant role in explaining the GEI, the IPCA 1 scores were plotted against the IPCA 2 scores to further explore adaptation. According to figure 1 the genotypes BLX-10002-20 were the most outliner hence they were unstable, but the genotypes BLX-1001-1 showed more stability for high yield across locations followed by BLX-10002-15. 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 (Yan and Kang, 2002). In this experiment, the first two PCs of the GGE model explained 99.78% of the variation in G+GE. Six genotypes represent a polygon and the genotypes corner of the polygon most responsive genotypes. The mega environment shows the Jessore, Gazipur and Madaripur (Fig 2). Boxplot shows the wide ranges of genotype variability in Ishurdi and Jessore.The genotypes BLX-1001-1, BLX-01002-12, BLX-01002-15and BARI Masur-5showed most interaction within the environment followed by others. All the entries distributed into three sectors. Among the tested locations, Gazipur, Jessore and Madaripur had larger environmental vectors indicating high discriminating ability. GGE biplot of yield showed entry BLX-1001-1, BLX-01002-20 and BARI Masur-7 appeared to be widely adaptive compared to the rest. The out yielded entries were also found the resistant reaction to stemphylium blight.

Knowledge Management: Report/Proceedings