Stability and inheritance of storage-induced hardening in 20 common bean cultivars

1991 ◽  
Vol 71 (3) ◽  
pp. 641-647 ◽  
Author(s):  
T. E. Michaels ◽  
D. W. Stanley

Storage of common bean (Phaseolus vulgaris L.) in elevated temperature and/or humidity conditions leads to a textural defect where the beans harden and fail to soften upon soaking and cooking. The objectives of this study were to determine the stability of 20 common bean cultivars grown in three environments for initial hardness, final hardness following storage and hardening ratio, and to estimate the heritability of these hardening parameters. Cultivar × environment interaction was highly significant for the hardening parameters. When stability was examined by plotting hardness against coefficient of variation across environments, three cultivars, GN-77135B, ICA Pijao and T39 Black Turtle, were marginally below the mean for both final hardness and coefficient of variation. While the coefficients of variation for the red kidney bean cultivars Redkloud and Montcalm were high, the maximum compression forces were only slightly (< 20%) greater than the maximum acceptable hardness level as determined by a sensory panel. Fiesta Pinto had the lowest coefficient of variation and near mean values for both final hardness and hardening ratio making it arguably the cultivar with best combination of texture and stability. Heritability estimates were low (0–0.24) with high standard error and estimates of the proportion of phenotypic variance due to G × E were moderate to high (0.29–0.69). Initial cultivar improvement efforts should focus on developing cultivars with greater stability across environments for the hardening parameters. Key words: Phaseolus vulgaris L., storage-induced hardening, stability, broad sense heritability, bean (common)

2019 ◽  
Vol 8 (1) ◽  
pp. 35
Author(s):  
Yayis Rezene

The present study was conducted on thirty-six common beans (Phaseolus vulgaris L.) Genotypes across six contrasting environments defined for its different soil fertility status and located at the southern Ethiopia. The genotypes were arranged in 6 x 6 triple lattice design and executed for two successive main cropping seasons with the objectives to evaluate yield performance of common bean genotypes and identification of mega environments. GGE (i.e., G = genotype and GE = genotype by environment, interaction) bi-plot methodology was used for graphical presentation of yield data after subjecting the genotypic means of each environment to GGE Bi-plot software. The first two principal components (AXIS 1 and AXIS2) were used to display a two-dimensional GGE bi-plot. Thus, genotypic AXIS1 scores &gt;0 classified the high yielding genotypes while AXIS2 scores &lt;0 identified low yielding genotypes. Unlike genotypic AXIS1, genotypic AXIS2, scores near zero showed stable genotypes whereas large AXIS2 scores classified the unstable ones. The environmental AXIS1 were related to crossover nature of GEI while AXIS2 scores were associated with non-cross over GEI. The six test environments in the southern region were divided in to two distinct mega environments (Mega-1 and 2). Mega-1 constituted GOHF13, ARMF12 and ARLF13 while genotype 14 (SCR10) being the best winner, on the other hand, Mega-2 contained GOHF12 and while common bean genotype 20(SCR17) being the best winner. The results of this study indicated that breeding for specific adaptation should be taken as a breeding strategy in southern region to exploit positive GEI to increase production and productivity of common bean.


2021 ◽  
Author(s):  
Sofora Jan ◽  
Irshad Ahmad Rather ◽  
Parvaze Ahmad Sofi ◽  
Mohd Altaf Wani ◽  
Farooq Ahmad Sheikh ◽  
...  

2021 ◽  
Author(s):  
Rosa Cecilia Viscarra‐Torrico ◽  
Aga Pajak ◽  
Alvaro Soler Garzón ◽  
BaiLing Zhang ◽  
Sudhakar Pandurangan ◽  
...  

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