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Yield stability of chickpea genotype in environment condition

International Journal of Chemical Studies · 2019 · Vol. 7(6) · pp. 1216–1219

Abstract

Chickpea variety were evaluated using Randomized complete block design with three replications for estimating genotype x environment interaction (GEI) and yield stability of 10 genotype across six environments during 2015-2016 at Chhattisgarh. The objectives were to analyze yield stability of chickpea genotypes performance under Chhattisgarh conditions. Several statistical analyses were conducted:: Coefficient of Variance (CVi); Wricke’s Eco valence parameter (Wi); Lin and Binns cultivar performance measure (Pi); Finlay and Wilkinson’s regression coefficient(bi); and Shukla’s stability variance parameter . RG 2009-11 and Vaibhav© are the stable genotype according to the ranking order of the different method i.e. Shukla’s (1972), Wricke’s (1962) eco valence. JG 16 was ranked first on mean yield, also most stable genotype. According to Lin & Binn’s, JG 14 were unstable.

Genetics and Plant BreedingAgricultural pest management studiesGenetic and Environmental Crop StudiesGenotypeRandomized block designCultivarYield (engineering)Stability (learning theory)Gene–environment interactionMathematicsCoefficient of variationBiologyStatistics
Citations
0
FWCI
0.00
field-weighted impact
References
4
Percentile
14%
vs. same field & year
References
Statistical Analysis of a Yield Trial
Agronomy Journal · 1988 · 1,498 citations
Predictive and postdictive success of statistical analyses of yield trials
Theoretical and Applied Genetics · 1988 · 444 citations
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