Varietal Mixture  Effect on the Disease Incidence and Severity of Bacterial Blight in Rice

Sarker, Sumonto; Rahman, Md. Sadique; Anwar, M. S.; Hossain, M. A.

doi:10.5455/jbau.76259

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…In our study, ANOVA has shown a noteworthy difference among traits. The literature has also shown corroborative results in agronomic traits of mungbean [63], Zea mays [64][65][66][67], Oryza sativa [68][69][70][71][72][73][74][75][76][77][78][79][80][81][82][83][84], okra [85][86][87], A. spp. [88,89], broccoli [90], and Cocos nucifera [91,92].…”

Section: Discussionmentioning

confidence: 84%

Integrating BLUP, AMMI, and GGE Models to Explore GE Interactions for Adaptability and Stability of Winter Lentils (Lens culinaris Medik.)

Hossain

Sarker

Azam

et al. 2023

Plants

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Lentil yield is a complicated quantitative trait; it is significantly influenced by the environment. It is crucial for improving human health and nutritional security in the country as well as for a sustainable agricultural system. The study was laid out to determine the stable genotype through the collaboration of G × E by AMMI and GGE biplot and to identify the superior genotypes using 33 parametric and non-parametric stability statistics of 10 genotypes across four different conditions. The total G × E effect was divided into two primary components by the AMMI model. For days to flowering, days to maturity, plant height, pods per plant, and hundred seed weight, IPCA1 was significant and accounted for 83%, 75%, 100%, and 62%, respectively. Both IPCA1 and IPCA2 were non-significant for yield per plant and accounted for 62% of the overall G × E interaction. An estimated set of eight stability parameters showed strong positive correlations with mean seed yield, and these measurements can be utilized to choose stable genotypes. The productivity of lentils has varied greatly in the environment, ranging from 786 kg per ha in the MYM environment to 1658 kg per ha in the ISD environment, according to the AMMI biplot. Three genotypes (G8, G7, and G2) were shown to be the most stable based on non-parametric stability scores for grain yield. G8, G7, G2, and G5 were determined as the top lentil genotypes based on grain production using numerical stability metrics such as Francis’s coefficient of variation, Shukla stability value (σi2), and Wrick’s ecovalence (Wi). Genotypes G7, G10, and G4 were the most stable with the highest yield, according to BLUP-based simultaneous selection stability characteristics. The findings of graphic stability methods such as AMMI and GGE for identifying the high-yielding and stable lentil genotypes were very similar. While the GGE biplot indicated G2, G10, and G7 as the most stable and high-producing genotypes, AMMI analysis identified G2, G9, G10, and G7. These selected genotypes would be used to release a new variety. Considering all the stability models, such as Eberhart and Russell’s regression and deviation from regression, additive main effects, multiplicative interactions (AMMI) analysis, and GGE, the genotypes G2, G9, and G7 could be used as well-adapted genotypes with moderate grain yield in all tested environments.

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Section: Discussionmentioning

confidence: 84%

Integrating BLUP, AMMI, and GGE Models to Explore GE Interactions for Adaptability and Stability of Winter Lentils (Lens culinaris Medik.)

Hossain

Sarker

Azam

et al. 2023

Plants

View full text Add to dashboard Cite

show abstract

“…ANOVA analysis indicated a noteworthy difference for our examined characters. A significant variation in the analysis of variance was found also in agronomic traits of maize [ [58] , [59] , [60] , [61] ], rice [ [62] , [63] , [64] , [65] , [66] , [67] , [68] , [69] , [70] , [71] , [72] , [73] , [74] , [75] , [76] , [77] , [78] , [79] , [80] ], okra [ [81] , [82] , [83] ], broccoli [ 84 ], pulses [ [85] , [86] , [87] ], and coconut [ 88 , 89 ] which confirmed our current findings.…”

Section: Resultsmentioning

confidence: 99%

Nutritional and bioactive properties and antioxidant potential of Amaranthus tricolor, A. lividus, A viridis, and A. spinosus leafy vegetables

Sarker,

Oba,

Ullah

et al. 2024

Heliyon

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“…In this case, Path coefficient analysis determines the direct and indirect sources of relationships. At the genotypic level, path coefficient analysis allows for a careful assessment of specific components that work to produce a given association and a measurement of each factor's relative relevance [ 104 ]. FY per m 2 was treated as a resultant (dependent) variable whereas, plant height, leaves/plant, shoot weight, SBD, root weight, stem weight, chlorophyll a , chlorophyll b , total chlorophyll, β-cyanins, β-xanthins, β-carotene, TF, and TP were causal (independent) variables.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of yield attributes and bioactive phytochemicals of twenty amaranth genotypes of Bengal floodplain

Jahan,

Sarker,

Hasan Saikat

et al. 2023

Heliyon

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Varietal Mixture Effect on the Disease Incidence and Severity of Bacterial Blight in Rice

Cited by 3 publications

References 11 publications

Integrating BLUP, AMMI, and GGE Models to Explore GE Interactions for Adaptability and Stability of Winter Lentils (Lens culinaris Medik.)

Integrating BLUP, AMMI, and GGE Models to Explore GE Interactions for Adaptability and Stability of Winter Lentils (Lens culinaris Medik.)

Nutritional and bioactive properties and antioxidant potential of Amaranthus tricolor, A. lividus, A viridis, and A. spinosus leafy vegetables

Evaluation of yield attributes and bioactive phytochemicals of twenty amaranth genotypes of Bengal floodplain

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