14 research outputs found

    Performance of grain sorghum hybrids in soils with low and high aluminum saturation

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    The presence of aluminum (Al3+) in acidic soils is one of the main causes of low crop yield, since it inhibits the root growth, thus affecting the nutrients and water uptake by plants. An approach to grow crops in areas with high Al3+ saturation is the use of tolerant cultivars. This study aimed to evaluate commercial sorghum hybrids in soils with low and high aluminum saturation, in order to select cultivars with high grain yield, even when exposed to abiotic stress. Twenty hybrids were evaluated for characteristics such as plant flowering, plant height and grain yield. All three traits were significantly affected by Al3+, being grain yield the most affected one. Despite the significant genotypes x environments interaction for grain yield, it was possible to select hybrids with yield above the national average in both environments. The hybrids BRS373, 50A50, AS4639, DKB540, AS4625, A9721R, 1167092, DKB550, 1G282 and AG1040 showed a high yield under low and high Al-saturation conditions

    Seleção de linhagens de sorgo granífero eficientes e responsivas à aplicação de fósforo

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    The objective of this work was to select sorghum lines simultaneously responsive to phosphorus fertilization and with high productive efficiency regarding this nutrient. Thirty six sorghum inbred lines were evaluated in a randomized complete block design, with two replicates. The traits used to evaluate the productive efficiency were average yield and efficiencies of absorption, utilization, and use of phosphorus, with and without phosphorus fertilization. For the analysis of the responsivity to the nutrient, the evaluated traits were relative yield and apparent recovery, physiological, and agronomic efficiencies. The lines were genetically divergent as to the efficiencies of absorption, utilization, and use of phosphorus, and to the responsivity to the nutrient, suggesting the possibility of producing hybrids destined to different market niches. The most responsive lines were P9401, BR007B, BR008B, SC414‑12E, and SC566, and the most efficient ones under low phosphorus availability were ATF40B, SC566, BR005R, CMSXS225, and BR012 (R6). The ATF40B, ATF54 (f61), ATF54 (f596), QL3, and SC566 lines showed better simultaneous performance for the different evaluated efficiencies and for the responsivity to phosphorus. The evaluation of productivity alone, under different phosphorus availabilities, already makes it possible to identify efficient and responsive lines to phosphorus.O objetivo deste trabalho foi selecionar linhagens de sorgo simultaneamente responsivas ao fósforo e com elevada eficiência produtiva quanto a esse nutriente. Foram avaliadas 36 linhagens endogâmicas, em delineamento de blocos ao acaso, com duas repetições. Os caracteres usados para avaliação da eficiência produtiva foram produtividade média e eficiências de absorção, de utilização e de uso de fósforo, com e sem adubação fosfatada. Para análise da responsividade ao nutriente, foram avaliados caracteres de produtividade relativa e de eficiências de recuperação aparente, fisiológica e agronômica. Há variabilidade genética entre as linhagens quanto às eficiências de absorção, de utilização e de uso do fósforo, e quanto à responsividade ao nutriente, o que sugere a possibilidade de produção de híbridos destinados a nichos de mercado diferentes. As linhagens mais responsivas foram P9401, BR007B, BR008B, SC414‑12E e SC566, e as mais eficientes, sob baixa disponibilidade de fósforo, foram ATF40B, SC566, BR005R, CMSXS225 e BR012 (R6). As linhagens ATF40B, ATF54 (f61), ATF54 (f596), QL3 e SC566 apresentaram melhor desempenho simultâneo das diferentes eficiências avaliadas e da responsividade ao fósforo. Apenas a avaliação do caráter produtividade, sob diferentes disponibilidades de fósforo, já permite identificar linhagens eficientes e responsivas ao fósforo

    Tolerância ao alumínio em genótipos de cereais de inverno sob cultivo hidropônico e campo

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    The objective of this work was to determine the root growth capacity of 75 genotypes of small graine cereals in hydroponic culture under different aluminum concentrations, and to assess the relationship betwen the level of tolerance/sensitivity in hydroponic solution and the resistance/susceptibility index in the field. Barley, triticale, rye, wheat and Aegilops tauschii were evaluated in hydroponics, with Al3+ concentrations that varied between 0.5 (barley), 2 and 6 (triticale), 6 and 10 (rye) and 2 mg L-1 (wheat and Ae. tauschii). The experiments' designs were completely randomized. In the field trial, the same genotypes were assessed, except for Ae. tauschii, in soil with pH 4.4 and 4.85 adjusted to 1/2 and 1/4 of the SMP index. A score scale ranging from 0.5 (highly resistant) to 5 (highly susceptible) was used. A strong relationship between aluminum tolerance in hydroponics and resistance to blight in the field was observed. Cereals selection in hydroponic medium can be considered an efficient tool to support breeding programs for this characteristic.O objetivo deste trabalho foi determinar a capacidade de crescimento radicular de 75 genótipos de cereais de inverno em cultivo hidropônico, em diferentes concentrações de alumínio, avaliar a relação entre o grau de tolerância/sensibilidade, em solução hidropônica, e a resistência/suscetibilidade ao crestamento em campo. Os cereais cevada, triticale, centeio, trigo e Aegilops tauschii foram avaliados em hidroponia, com concentrações de Al3+ que variaram entre 0,5 (cevada), 2 e 6 (triticale), 6 e 10 (centeio) e 2 mg L-1 (trigo e Ae. tauschii). Os delineamentos experimentais foram inteiramente casualizados. Em campo, foram avaliados os mesmos genótipos, exceto Ae. tauschii, em solo com pH 4,4 e 4,85, corrigido a 1/2 e 1/4 do índice SMP. Utilizou-se uma escala de notas com variação de escores de 0,5 (altamente resistente) a 5 (altamente suscetível). Foi observada elevada relação entre a tolerância ao alumínio em hidroponia e a resistência ao crestamento em campo. A seleção de cereais em meio hidropônico pode ser considerada eficiente como ferramenta de apoio aos programas de melhoramento genético para essa característica

    Performance of grain sorghum hybrids in soils with low and high aluminum saturation

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    <div><p>ABSTRACT The presence of aluminum (Al3+) in acidic soils is one of the main causes of low crop yield, since it inhibits the root growth, thus affecting the nutrients and water uptake by plants. An approach to grow crops in areas with high Al3+ saturation is the use of tolerant cultivars. This study aimed to evaluate commercial sorghum hybrids in soils with low and high aluminum saturation, in order to select cultivars with high grain yield, even when exposed to abiotic stress. Twenty hybrids were evaluated for characteristics such as plant flowering, plant height and grain yield. All three traits were significantly affected by Al3+, being grain yield the most affected one. Despite the significant genotypes x environments interaction for grain yield, it was possible to select hybrids with yield above the national average in both environments. The hybrids BRS373, 50A50, AS4639, DKB540, AS4625, A9721R, 1167092, DKB550, 1G282 and AG1040 showed a high yield under low and high Al-saturation conditions.</p></div

    TOXICITY CAUSED BY ALUMINIUM AND HIDROGEN ON THE GROWTH OF MAIZE ROOT

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    With the objective of investigating differential tolerance of maize inbred lines to aluminum (Al) and its interaction with high proton activity, in nutritive solution, two experiments were carried out in green houses. In the first experiment, six maize inbred lines from EMBRAPA´s breeding program were evaluated in four different Al concentrations (0, 55, 111 and 222 μM) and in the second experiment, the same lines were evaluated in nutritive solution with four different pH values (3.8, 4.2, 4.6 and 5.0). During transplant and five days of treatment, seminal root length was measured for all treatments. From the inbred lines evaluated, four were Al tolerant (Cateto Al 237, SLP 181, L 1154, L3) and two were sensitive (L 53 and L 36). There was no defined correlation between Al tolerance and tolerance to high proton activity in nutritive solution. The tolerance characteristic was better evaluated in the concentration of 222 μM of Al, suggesting that this concentration will be utilized in future studies of genotype selection. It was also verified that the pH value of 4.2 was more adequate for the present study conditions

    Data from: Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi-environment trials

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    Breeding for drought tolerance is a challenging task that requires costly, extensive and precise phenotyping. Genomic selection (GS) can be used to maximize selection efficiency and the genetic gains in maize (Zea mays L.) breeding programs for drought tolerance. Here we evaluated the accuracy of genomic selection of additive (A) against additive+dominance (AD) models to predict the performance of untested maize single-cross hybrids for drought tolerance in multi-environment trials. Phenotypic data of five drought-tolerance traits were measured in 308 hybrids in eight trials under water-stressed (WS) and well-watered (WW) conditions over two years and two locations in Brazil. Hybrids’ genotypes were inferred based on their parents’ genotypes (inbred lines) using single nucleotide polymorphism data obtained via genotyping-by-sequencing. GS analyses were performed using genomic best linear unbiased prediction by fitting a factor analytic (FA) multiplicative mixed model. Results showed differences in the predictive accuracy between A and AD models for the five traits under consideration in both water conditions. For grain yield (GY), the AD model doubled the predictive accuracy in comparison to the A model. FA framework allowed for investigating the stability of additive and dominance effects across environments, as well as the additive- and dominance-by-environment interactions, with interesting applications for parental and hybrid selection. Prediction performance of untested hybrids using GS that benefit from borrowing information from correlated trials increased 40% and 9% for A and AD models, respectively. These results highlighted the importance of multi-environment trial analysis with GS that incorporate dominance effects into genomic predictions of GY in maize single-cross hybrids
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