A multilocational evaluation of blast resistance in a diverse panel of finger millet in India

Das, I. K.; Palanna, K. B.; Patro, Tssk; Ganapathy, K. N.; Kannababu, N.; Kumar, Sunil; Tonapi, Vilas A.

doi:10.1016/j.cropro.2020.105401

Cited by 9 publications

(2 citation statements)

References 12 publications

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“…Predominance of G × E interaction contribution to the total variation indicated the importance of understanding G × E interaction patterns in breeding and selection for soybean anthracnose resistance in India. This is in accordance with the previous reports (Sharma et al ., 2013; Das et al ., 2021; Srivastava et al ., 2021). Significant environmental effect is attributed to the variability in the pathogenic population prevailing in different environments.…”

Section: Discussionmentioning

confidence: 99%

WAASB index revealed stable resistance sources for soybean anthracnose in India

et al. 2021

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Anthracnose caused by Colletotrichum truncatum is a major soybean disease in India. Genetic resistance is the viable option to combat yield losses due to this disease. In the current study, 19 soybean genotypes were evaluated for anthracnose disease resistance at five locations (Medziphema, Palampur, Dharwad, Jabalpur and Indore) for three consecutive years (2017–2019) to identify stable and superior genotypes as resistant sources and to elucidate genotype (G) × environment (E) interactions. Genotype effect, environment effect and G × E interactions were found significant (P < 0.001) where G × E interactions contributed highest (42.44) to the total variation followed by environment (29.71) and genotype (18.84). Through Weighted Average of Absolute Scores (WAASB) stability analysis, PS 1611 (WAASB score = 0.33) was found to be most stable and through WAASBY superiority analysis NRC 128 (WAASBY score = 94.31) and PS 1611 (WAASBY score = 89.43) were found to be superior for mean performance and stability. These two genotypes could be candidate parents for breeding for durable and stable anthracnose resistance. Through principal component analysis, disease score was found to be positively associated with relative humidity, wind speed at 2 m above ground level, effect of temperature on radiation use efficiency and global solar radiation based on latitude and Julian day. Among the five locations, Indore was found to be highly discriminative with the highest mean disease incidence and could differentiate anthracnose-resistant and susceptible genotypes effectively, therefore can be considered an ideal location for breeding for field resistance against anthracnose disease.

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Section: Discussionmentioning

confidence: 99%

WAASB index revealed stable resistance sources for soybean anthracnose in India

et al. 2021

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“…Apart from aiming at yield improvement, mutation breeding has several other applications. The genetic male-sterile line INFM 95001 was also developed using EMS mutagenesis of germplasm line IE 3318 [19]. A partial sterile line (PS 1) was also isolated through EMS mutagenesis of GPU 28 [20].…”

Section: Discussionmentioning

confidence: 99%

Development of Improved Mutants for Grain Yield and Related Traits in Finger Millet (Eleusine coracana L Gaertn.) Through Gamma Mutagenesis

Ganapathy

Patro

Palanna³

et al. 2021

IJPSS

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Recombination breeding is limited in finger millet due to tiny florets and irregular anthesis. Induced mutagenesis using gamma irradiation was attempted to improve grain yield and related traits in three elite cultivars (GPU28, GPU 67 and MR 6). Mean performance and estimates of BLUP and BLUE of 61 mutants showed variability among the mutants for grain yield in comparison to parental genotypes. Grain yield being a complex trait and influenced by high G × E interaction recorded low heritability estimate sand therefore BLUP provided more reliable estimates for grain yield. Stability analysis was conducted using GGE biplot techniques and also by plotting the trait means with their respective coefficient of variation values(CVs). From mean performance and stability analysis, the mutants GPU28-2212, GPU28-2086, GPU28-2082 derived from GPU 28 variety, GPU67-3358, GPU67-3359, GPU67-2094 from GPU67 variety and MR6-3393 from MR6 variety were superior for grain yield and related traits. Combined association analysis revealed tillers per plant as highly correlated trait with grain yield indicating key trait for grain yield improvement in finger millet. Mutants with improved finger traits and blast resistance are also discussed.

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