Selection of superior black oat lines using the MGIDI index

Klein, Luís Antônio; Marchioro, Volmir Sergio; Toebe, Marcos; Olivoto, Tiago; Meira, Daniela; Meier, Carine; Benin, Giovani; Busatto, Cleiton Antônio; Garafini, Duana Cancian; Alberti, João Vitor; Finatto, José Luiz Balansin

doi:10.1590/1984-70332023v23n3a25

Cited by 3 publications

References 29 publications

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A Framework for Selection of High-Yielding and Drought-tolerant Genotypes of Barley: Applying Yield-Based Indices and Multi-index Selection Models

Ghazvini,

Pour-Aboughadareh,

Jasemi

et al. 2024

Journal of Crop Health

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Drought stress is one of the major environmental stresses that dramatically reduces agricultural production around the world. Barley (Hordeum vulgare L.) plays an important role in both food and feed security. The objective of this study was to identify the superior drought-tolerant genotypes using grain yield and several yield-based indices of tolerance and susceptibility by applying various multivariate selection models. To achieve this objective, a set of promising new barley genotypes was evaluated in three drought-prone regions of Iran (Mashhad, Karaj, and Hamadan) during two consecutive growing seasons (2019-2020 and 2020-2021). The results of additive main effect and multiplicative interaction (AMMI) analysis showed signi cant effects for genotypes (G), environments (E), and their interaction (G×E). Based on the AMMI model, G3, G7, G9, and G13 were identi ed as the four highest-ranked genotypes in terms of grain yield. Based on the Smith-Hazel, factor analysis and genotype-ideotype distance index (FAI), and genotype-ideotype distance index (MGIDI) selection models, genotypes G4 and G13 showed the greatest tolerance to drought stress conditions in the three regions. Moreover, the most signi cant selection gain was found for the stress tolerance index, yield index, and grain yield under drought stress conditions (Ys). The results of the genotype (G) + genotype × environment (GGE) biplot analysis coincided with those obtained, in which the G4 and G13 genotypes showed speci c adaptability in drought environments. In addition, among the environments tested, the Karaj region was selected as an ideal target environment with signi cant discriminatory power and representative ability. In conclusion, the collective analysis using the AMMI, GGE biplot, and multi-index selection models identi ed genotypes G4 and G13 as superior genotypes. Consequently, these genotypes may be candidates for commercial introduction.

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A Framework for Selection of High-Yielding and Drought-tolerant Genotypes of Barley: Applying Yield-Based Indices and Multi-index Selection Models

Ghazvini,

Pour-Aboughadareh,

Jasemi

et al. 2024

Journal of Crop Health

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Combining ability and heterosis of tropical maize under acidic soil conditions

Zendrato,

Suwarno,

Marwiyah

2024

IOP Conf. Ser.: Earth Environ. Sci.

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The selection of inbred lines by combining abilities is an essential step for developing maize hybrids under abiotic stress. This research aimed to estimate the combining ability and heterosis of tropical maize under acidic soil conditions. Six inbred parental lines were crossed using the incomplete half-diallel mating design method Griffing II and evaluated using an augmented RCBD with three blocks and six hybrid checks replicated across blocks. The results revealed that combining ability variances affect all traits of maize, except GCA in grain yield. P13, P42, and L15 tended to have the best GCA in agronomic and yield components. Meanwhile, SCA of L152 x L26 (G03), L15 x B4B (G05), L26 x P13 (G08), and P42 x L15 (G10) had a significant effect on yield and several agronomic traits, followed by high positive heterosis of the hybrids. Similar to combining ability, selection based on MGIDI suggested that L152 × L26 (G03) and L15 × B4B (G05) were the best hybrids, determined by grain yield and six other traits. These findings can be used in maize breeding programs to tolerate acidic soil conditions.

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A framework for selection of high-yielding and drought-tolerant genotypes of barley: Applying yield- based indices and multi-index selection models

Ghazvini,

Pour-Aboughadareh,

Jasemi

et al. 2024

Preprint

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Drought stress is one of the major environmental stresses that dramatically reduces agricultural production around the world. Barley (Hordeum vulgare L.) plays an important role in both food and feed security. The objective of this study was to identify the superior drought-tolerant genotypes using grain yield and several yield-based indices of tolerance and susceptibility by applying various multivariate selection models. To achieve this objective, a set of promising new barley genotypes was evaluated in three drought-prone regions of Iran (Mashhad, Karaj, and Hamadan) during two consecutive growing seasons (2019–2020 and 2020–2021). The results of additive main effect and multiplicative interaction (AMMI) analysis showed significant effects for genotypes (G), environments (E), and their interaction (G×E). Based on the AMMI model, G3, G7, G9, and G13 were identified as the four highest-ranked genotypes in terms of grain yield. Based on the Smith-Hazel, factor analysis and genotype-ideotype distance index (FAI), and genotype–ideotype distance index (MGIDI) selection models, genotypes G4 and G13 showed the greatest tolerance to drought stress conditions in the three regions. Moreover, the most significant selection gain was found for the stress tolerance index, yield index, and grain yield under drought stress conditions (Ys). The results of the genotype (G) + genotype × environment (GGE) biplot analysis coincided with those obtained, in which the G4 and G13 genotypes showed specific adaptability in drought environments. In addition, among the environments tested, the Karaj region was selected as an ideal target environment with significant discriminatory power and representative ability. In conclusion, the collective analysis using the AMMI, GGE biplot, and multi-index selection models identified genotypes G4 and G13 as superior genotypes. Consequently, these genotypes may be candidates for commercial introduction.

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Selection of superior black oat lines using the MGIDI index

Cited by 3 publications

References 29 publications

A Framework for Selection of High-Yielding and Drought-tolerant Genotypes of Barley: Applying Yield-Based Indices and Multi-index Selection Models

A Framework for Selection of High-Yielding and Drought-tolerant Genotypes of Barley: Applying Yield-Based Indices and Multi-index Selection Models

Combining ability and heterosis of tropical maize under acidic soil conditions

A framework for selection of high-yielding and drought-tolerant genotypes of barley: Applying yield- based indices and multi-index selection models

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