Tropical maize selection indexes genotypes for efficiency in use of nutrients: phosphorus

Reis, Gabriel Gonçalves dos; Pereira, Felipe Bermudez; Granato, Ítalo Stefanine Correia; DoVale, Júlio César; Fritsche‐Neto, Roberto

doi:10.1590/0034-737x201764030007

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…The use of factor analysis to develop indexes that allow accurate selection of maize genotypes had been used in some studies (DoVale et al 2011;Reis et al 2017). However, there is an absence of information on the use of these factor analyses in more than one segregating population and for resistance to stink bug complex in soybean.…”

Section: Introductionmentioning

confidence: 99%

Selection to high productivity and stink bugs resistance by multivariate data analyses in soybean

Bermudez

Pinheiro

2020

Bragantia

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Stink bugs that affect soybeans are responsible for significant losses in seed production, quality and germination potential, in addition to hindering the mechanized harvest. To develop insect resistant materials, the breeder can compile a selection index by factor analysis. Therefore, the objective of this work was to validate the use of factor analysis, by means of its estimated gains, for the selection of highly productive and stink bugs resistant genotypes in two soybean segregating populations. For this, the phenotypic evaluation was performed in the generation F 2:3 , in two distinct experiments, being the populations from the crosses between IAC-100 × PI 295952 and IAC-100 × PI 306712. The experiments were installed in an 18 × 9 alpha-lattice design, with three replicates for each population. Agronomic and resistance characters were evaluated. The factorial scores for each character were obtained for the creation of "supercharacters". These were designed to check if the selection in the new characters could provide satisfactory simultaneous gains in the original characters. Subsequently, the analysis of variance was performed for all factors, in both populations. The F test showed the presence of variability among genotypes, allowing the selection of superior genotypes. None of the factors selected progenies with all the characters favorably, and their use was not interesting for both populations. With this, complementary studies should be performed with other selection indices in these populations.

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Section: Introductionmentioning

confidence: 99%

Selection to high productivity and stink bugs resistance by multivariate data analyses in soybean

Bermudez

Pinheiro

2020

Bragantia

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“…To improve plant species, Reis et al (2017) used FA to develop indices that allow selection of maize genotypes, and Barbosa et al (2019) used FA to select Coffea arabica genotypes with high potential for traits with commercial interest.…”

Section: Introductionmentioning

confidence: 99%

Factor analysis for plant and production variables in Coffea canephora in the Western Amazon

Silva

Barroso

Cruz

et al. 2022

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The evaluation of morphological characters related to the hulled coffee yield subsidizes the selection of Coffea canephora plants that combine a set of favorable traits. However, the greater the number of traits considered, the more difficult the selection process becomes. In this context, multivariate analyzes can be useful to overcome this problem. The aim of this study was to identify, in a set of agronomic traits of Coffea canephora, the determining factors of biological phenomena and use these factors to recognize patterns of diversity and similarity from biological complexes of interest to the breeder. To this, eleven morphological descriptors were evaluated of 130 clones of the botanical varieties Conilon and Robusta and intervarietal hybrids over two crop years in the experimental field of Embrapa, in the municipality of Ouro Preto do Oeste, state of Rondônia (RO). To group the traits, the multivariate technique of Factor Analysis was used. The effect of genotype x year interaction was significant for the eleven traits analyzed. Based on the scree plot, three factors were established. Factors were interpreted as architecture, vigor and grains with a satisfactory percentage of explained variability. The interpretation of the factors highlighted the importance of the Conilon variety to improve the architecture of the Robusta botanical variety. These results show that it is possible to use factor scores to identify varieties and traits that favor higher production of hulled coffee.

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Accumulation and efficiency of phosphorus use in irrigated cassava cultivars in the Brazilian semiarid region

Alves

Silveira

Lopes

et al. 2022

Rev. bras. eng. agríc. ambient.

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Phosphorus is of fundamental importance for the energy supply necessary for plant metabolism, but it is still understudied for important agricultural crops such as cassava. The objective of this study was to evaluate the accumulation and efficiency of phosphorus use in different cassava cultivars in the semiarid region. Two experiments were carried out during two agricultural seasons 2018/2019 and 2019/2020 in Mossoró, Rio Grande do Norte state, Brazil. The experimental design was randomized blocks, in split plots, with four replicates. In the plots, five doses of phosphorus (P) (0, 60, 120, 180, and 240 kg ha-1 of P2O5) were applied in the planting furrow, and four cassava cultivars (Água Morna, BRS Gema de Ovo, Recife, and Venâncio) were cultivated in the subplots. The cultivars Água Morna and Recife export more phosphorus through their roots. The cultivars Venâncio and Água Morna show greater agronomic efficiency when fertilized with 60 kg ha-1 of P2O5. The apparent P recovery efficiency presented the following order: ‘BRS Gema de Ovo’ > ‘Água Morna’ > ‘Venâncio’ > ‘Recife’, with higher indices at the dose of 60 kg ha-1 of P2O5.

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Tropical maize selection indexes genotypes for efficiency in use of nutrients: phosphorus

Cited by 3 publications

References 22 publications

Selection to high productivity and stink bugs resistance by multivariate data analyses in soybean

Selection to high productivity and stink bugs resistance by multivariate data analyses in soybean

Factor analysis for plant and production variables in Coffea canephora in the Western Amazon

Accumulation and efficiency of phosphorus use in irrigated cassava cultivars in the Brazilian semiarid region

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