Mostafa Oveisi , Hassan Alizadeh , Sassan A. Lorestani , Aboozar Esmaili , Nasrin Sadeghnejad , Ramin Piri , Jose L. Gonzalez-Andujar , Heinz Müller-Schärer
{"title":"Triangle area model (TAM) for predicting germination: An approach to enhance hydrothermal time model applications","authors":"Mostafa Oveisi , Hassan Alizadeh , Sassan A. Lorestani , Aboozar Esmaili , Nasrin Sadeghnejad , Ramin Piri , Jose L. Gonzalez-Andujar , Heinz Müller-Schärer","doi":"10.1016/j.cpb.2024.100356","DOIUrl":null,"url":null,"abstract":"<div><p>A thorough examination of assumptions in hydrothermal time models revealed areas for enhancing model performance. We introduce the Triangle Area Model (<em>TAM</em>), which uses the area of right-angled triangles to calculate hydrothermal time for predicting population germination fractions (<em>g</em>). TAM is characterized by its depiction of triangles, considering insightful parameters such as the distance of germination temperature (<em>T</em>) to the base (<em>T</em><sub><em>b</em></sub>), optimal (<em>T</em><sub><em>o</em></sub>), and ceiling (<em>T</em><sub><em>c</em></sub>) temperatures, the range of <em>T</em><sub><em>c</em></sub> – <em>T</em><sub><em>o</em></sub>, <em>T</em><sub><em>o</em></sub> – <em>T</em><sub><em>b</em></sub>, and the germination water potential (<em>Ψ</em>), i.e. mean base water potential (<em>Ψ</em><sub><em>b(g)</em></sub>), along with potential <em>g</em> that may occur with <em>T</em> and <em>Ψ</em> combinations within <em>T</em><sub><em>c</em></sub> – <em>T</em><sub><em>b</em></sub> when <em>Ψ > Ψ</em><sub><em>b(g)</em></sub>. Applied to germination data from <em>Ambrosia psilostachya</em> L., <em>Cynanchum acutum</em> L., and <em>Bidens pilosa</em> L., <em>TAM</em> achieves an <em>RMSE</em> of 0.03 for <em>A. psilostachya</em> and <em>C. acutum</em>, and 0.05 for <em>B. pilosa</em>. Moreover, <em>TAM</em> demonstrates an <em>R</em><sup><em>2</em></sup> of 0.96, 0.97, and 0.98 for the respective species. <em>TAM</em> significantly outperforms earlier models through a comparison with varying <em>T</em> and <em>Ψ</em>. <em>TAM</em> determined <em>T</em><sub><em>b</em></sub> for <em>A. psilostachya</em>, <em>C. acutum</em>, and <em>B. pilosa</em> as 0.19, 14.57, and 5.76 <em>°C</em>; <em>T</em><sub><em>o</em></sub> as 25.1, 39.9, and 29.8 <em>°C</em>; and <em>T</em><sub><em>c</em></sub> as 46.7, 53, and 41<em>°C</em>, for the respective species. It also estimates <em>Ψ</em><sub><em>b(g)</em></sub> as -1<em>.</em>48 for <em>A. psilostachya</em>, -0.98 for <em>C. acutum</em>, and -0.97 for <em>B. pilosa</em>. The <em>TAM</em> approach deepens our understanding of temperature-moisture processes influencing plant survival, colonization, and habitat expansion for these three invasive alien species. Furthermore, it can be more widely applied for estimating <em>TT</em> and <em>HTT</em> across different growth stages, enhancing the prediction accuracy of plant phenological development.</p></div>","PeriodicalId":38090,"journal":{"name":"Current Plant Biology","volume":"39 ","pages":"Article 100356"},"PeriodicalIF":5.4000,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214662824000380/pdfft?md5=34369970302e1e88618fe72ff3297350&pid=1-s2.0-S2214662824000380-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Plant Biology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214662824000380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
A thorough examination of assumptions in hydrothermal time models revealed areas for enhancing model performance. We introduce the Triangle Area Model (TAM), which uses the area of right-angled triangles to calculate hydrothermal time for predicting population germination fractions (g). TAM is characterized by its depiction of triangles, considering insightful parameters such as the distance of germination temperature (T) to the base (Tb), optimal (To), and ceiling (Tc) temperatures, the range of Tc – To, To – Tb, and the germination water potential (Ψ), i.e. mean base water potential (Ψb(g)), along with potential g that may occur with T and Ψ combinations within Tc – Tb when Ψ > Ψb(g). Applied to germination data from Ambrosia psilostachya L., Cynanchum acutum L., and Bidens pilosa L., TAM achieves an RMSE of 0.03 for A. psilostachya and C. acutum, and 0.05 for B. pilosa. Moreover, TAM demonstrates an R2 of 0.96, 0.97, and 0.98 for the respective species. TAM significantly outperforms earlier models through a comparison with varying T and Ψ. TAM determined Tb for A. psilostachya, C. acutum, and B. pilosa as 0.19, 14.57, and 5.76 °C; To as 25.1, 39.9, and 29.8 °C; and Tc as 46.7, 53, and 41°C, for the respective species. It also estimates Ψb(g) as -1.48 for A. psilostachya, -0.98 for C. acutum, and -0.97 for B. pilosa. The TAM approach deepens our understanding of temperature-moisture processes influencing plant survival, colonization, and habitat expansion for these three invasive alien species. Furthermore, it can be more widely applied for estimating TT and HTT across different growth stages, enhancing the prediction accuracy of plant phenological development.
期刊介绍:
Current Plant Biology aims to acknowledge and encourage interdisciplinary research in fundamental plant sciences with scope to address crop improvement, biodiversity, nutrition and human health. It publishes review articles, original research papers, method papers and short articles in plant research fields, such as systems biology, cell biology, genetics, epigenetics, mathematical modeling, signal transduction, plant-microbe interactions, synthetic biology, developmental biology, biochemistry, molecular biology, physiology, biotechnologies, bioinformatics and plant genomic resources.