Evidence map›Paper›PMID 38166042›Full record

ArticlePloS one2024

Selection of forage grasses for cultivation under water-limited conditions using Manhattan distance and TOPSIS.

Bruno Rodrigues de Oliveira, Marco Aparecido Queiroz Duarte, Alan Mario Zuffo, Fábio Steiner, Jorge González Aguilera, Alexson Filgueiras Dutra, Francisco de Alcântara Neto, Marcos Renan Lima Leite, Nágila Sabrina Guedes da Silva, Eliseo Pumacallahui Salcedo and 4 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Bruno Rodrigues de OliveiraPantanal Editora, Nova Xavantina-MT, Brasil.ORCID 0000-0002-1037-6541
Marco Aparecido Queiroz DuarteDepartamento de Matemática, Universidade Estadual de Mato Grosso do Sul (UEMS), Unidade de Cassilândia, Cassilândia-MS, Brasil.
Alan Mario ZuffoDepartamento de Agronomia, Universidade Estadual do Maranhão (UEMA), Campus Balsas, Balsas-MA, Brasil.
Fábio SteinerDepartamento de Agronomia, Universidade Estadual de Mato Grosso do Sul (UEMS), Unidade de Cassilândia, Cassilândia-MS, Brasil.
Jorge González AguileraPantanal Editora, Nova Xavantina-MT, Brasil.ORCID 0000-0002-7308-0967
Alexson Filgueiras DutraInstituto Federal do Tocantins, Pedro Afonso-TO, Brasil.
Francisco de Alcântara NetoPrograma de Pós-Graduação em Agronomia, Universidade Federal do Piauí Teresina, Piauí, Brasil.
Marcos Renan Lima LeitePrograma de Pós-Graduação em Agronomia, Universidade Federal do Piauí Teresina, Piauí, Brasil.ORCID 0000-0002-2910-9232
Nágila Sabrina Guedes da SilvaPrograma de Pós-Graduação em Agronomia, Universidade Federal do Piauí Teresina, Piauí, Brasil.
Eliseo Pumacallahui SalcedoDepartamento de Ingeniería Civil y Ciencias Básicas, Universidad Nacional Intercultural de Quillabamba (UNIQ), Cusco, Perú.
Luis Morales-AranibarDepartamento de Ingeniería Civil y Ciencias Básicas, Universidad Nacional Intercultural de Quillabamba (UNIQ), Cusco, Perú.
Richar Marlon Mollinedo ChuraDepartamento Académico de Ciencias Físico Matemáticas, Universidad Nacional del Altiplano-Puno, Puno, Perú.
Roger Ccama AlejoDepartamento Académico de Ciencias Físico Matemáticas, Universidad Nacional del Altiplano-Puno, Puno, Perú.
Wilberth Caviedes ContrerasDepartamento Académico de Ciencias Básicas, Universidad Nacional Amazónica de Madre de Dios (UNAMAD), Madre de Dios, Perú.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extreme weather events, such as severe droughts, pose a threat to the sustainability of beef cattle by limiting the growth and development of forage plants and reducing the available pasture for animals. Thus, the search for forage species that are more tolerant and adapted to soil water deficit conditions is an important strategy to improve food supply. In this study, we propose utilizing the mathematical concept of the Manhattan distance to assess the variations in the morphological variables of tropical forage grasses under water-limited conditions. This study aimed to select genotypes of tropical forage grasses under different water stress levels (moderate or severe) at this distance and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Nine varieties from five species were examined. Forage grasses were grown in 12-L pots under three soil irrigation regimes [100% pot capacity-PC (well-irrigated control), 60% PC (moderate drought stress), and 25% PC (severe drought stress)] with four replicates. Drought stress treatments were applied for 25 days during the forage grass tillering and stalk elongation phases. After exposure to drought stress, the growth and morphological traits of forage plants were evaluated. The results show that the use of the Manhattan distance combined with TOPSIS helps in the genotypic selection of more stable tropical forage grass varieties when comparing plants exposed to moderate and severe drought conditions in relation to the nonstressful environment (control). The 'ADR 300', 'Pojuca', 'Marandu', and 'Xaraés' varieties show greater stability when grown in a greenhouse and subjected to water stress environments. The selected forage varieties can be used as parents in plant breeding programs, allowing us to obtain new drought-resistant genotypes.

Indexed as

DehydrationPoaceaeDroughtsGenotypePlant BreedingSoilSoil

Identifiers

PMID38166042
PMCPMC10760912

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.