MUHAMMAD AZRAI
Indonesian Cereals Research Institute. Jl. Dr. Ratulangi No. 274, Maros 90514, South Sulawesi, Indonesia

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Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress NUR FADHLI; MUH. FARID; RAFIUDDIN; ROY EFFENDI; MUHAMMAD AZRAI; MUHAMMAD FUAD ANSHORI
Biodiversitas Journal of Biological Diversity Vol. 21 No. 8 (2020)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d210826

Abstract

Abstract. Fadhli N, Farid M, Rafiuddin, Efendi R, Azrai M, Anshori MF. 2020. Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress. Biodiversitas 21: 3617-3624. The development of adaptive hybrid corn varieties under drought stress needs an effective selection. Multivariate analysis has been reported can increase the effectiveness of selection in plants by attaching the secondary characters in the selection. Therefore, this concept also can be applied to develop adaptive corn varieties under drought stress. The objectives of this study are to determine the main secondary characters and select the best hybrid lines adaptive to drought stress. The experiment was arranged by a nested design, where replications nested under two environmental conditions, namely normal and drought stress. The main factor was genotypes consisted of 30 genotypes and was repeated three times. Moreover, the observations of this research consisted of 20 variables. The result of this research showed that the weight of harvested cob was an effective secondary character as a selection criterion along with productivity in selecting adaptive maize genotypes under drought stress. The number of green leaves was the character outside of the yield component could be as an alternative secondary character besides the weight of harvested cob. The selection results based on the weight of the harvested cob and productivity resulted in 12 hybrid corn lines considered adaptive to drought stress.
Secondary trait and index selection determination for maize genotype selection in acidic tidal swamp environment SUWARTI SUWARTI; MUNIF GHULAMAHDI; DIDY SOPANDIE; TRIKOESOEMANINGTYAS TRIKOESOEMANINGTYAS; EKO SULISTYONO; MUHAMMAD AZRAI
Biodiversitas Journal of Biological Diversity Vol. 23 No. 8 (2022)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d230839

Abstract

Abstract. Suwarti, Ghulamahdi M, Sopandie D, Trikoesoemaningtyas, Sulistyono E, Azrai M. 2022. Secondary trait and index selection determination for maize genotype selection in acidic tidal swamp environment. Biodiversitas 23: 4169-4179. Determining secondary traits as complementary selection in maize genotypes for abiotic stress environment is compulsory since yield-based selection usually provides biased result. This study aimed to obtain secondary traits for maize selection in an abiotic multi-stresses of Fe, Al, and temporary flooding environments of acid sulfate tidal swamp land using multivariate analysis. A total of 150 (un-repeated) maize inbred lines and five check genotypes in five replicates were arranged in a randomized augmented plot design in three environments to generate 525 single plots. Three types of environments based on irrigation regimes were applied on acid soil tidal swamp land to study the agronomic characteristics of maize genotypes in each environment. Saturated Cultivation Technology (SSC) was considered the optimal environment. Dryland treatment was the condition to let the irrigation only depend on rainwater. Temporary flooding treatment was carried out at five stages of different growth periods. Several steps of analysis were applied in this study by taking variance, and heritability was used as the basis for selections. The characters affected by treatments with medium to high heritability were then analyzed with correlation and pathway analysis. Seven selection indexes, SSI, GMP, YSI, YI, TOL, STI, and MP, that have a high correlation to yield in both optimum and stress environments, were applied simultaneity with the selected trait characters to screen the genotypes utilizing PCA biplot analysis. Venn analysis was used to group the genotypes based on the result of the analysis. Indices of STI, MP, GMP, and traits of rows number per ear and the weight of 6 ears were selected as secondary characters for the maize genotypes selection in Saturated Soil culture with temporary flooding stress. Meanwhile, STI, MP, and ear stand height were the selected characters in the dryland of acid sulfate tidal swamp land. Based on the combination of all secondary character selection, genotypes were grouped into five types of stress tolerance in SSC+TF and DL environments. Eight genotypes were tolerant to both SSC+TF and DL stress, and two genotypes were susceptible to both environments.