Pantanal Editora, Nova Xavantina-MT, Brasil.
Departamento de Matemática, Universidade Estadual de Mato Grosso do Sul (UEMS), Unidade de Cassilândia, Cassilândia-MS, Brasil.
PLoS One. 2024 Jan 2;19(1):e0292076. doi: 10.1371/journal.pone.0292076. eCollection 2024.
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.
极端天气事件,如严重干旱,通过限制饲料植物的生长和发育以及减少动物可用的牧场,对肉牛的可持续性构成威胁。因此,寻找更能耐受和适应土壤水分亏缺条件的饲料物种是提高粮食供应的重要策略。在本研究中,我们提出利用曼哈顿距离的数学概念来评估在水分限制条件下热带饲料草形态变量的变化。本研究旨在选择不同水分胁迫水平(中度或重度)下的热带饲料草基因型,并利用逼近理想解的排序方法(TOPSIS)来选择不同水分胁迫水平下的热带饲料草基因型。本研究从五个物种中检查了九个品种。在三个土壤灌溉制度[100%罐容量-PC(充分灌溉对照)、60% PC(中度干旱胁迫)和 25% PC(重度干旱胁迫)]下,在 12-L 罐中种植饲料草,每个处理有四个重复。在饲料草分蘖和茎伸长阶段,对干旱胁迫处理进行了 25 天的处理。在干旱胁迫后,评估了饲料植物的生长和形态特征。结果表明,使用曼哈顿距离结合 TOPSIS 有助于在比较中度和重度干旱条件下与非胁迫环境(对照)下的植物时,对更稳定的热带饲料草品种进行基因型选择。当在温室中生长并处于水分胁迫环境时,'ADR 300'、'Pojuca'、'Marandu'和'Xaraés'品种表现出更大的稳定性。所选的饲料品种可作为植物育种计划的亲本,使我们能够获得新的抗旱基因型。