Predicting <i>Cyperus esculentus</i> Biomass Using Tiller Number: A Comparative Analysis of Growth Models
<i>Cyperus esculentus</i>, a drought-resistant Cyperaceae with ecological and economic value (stems/leaves as feed, tubers as oil source), stabilizes arid soils through its extensive root system. Understanding its biomass allocation strategies is crucial for comprehending carbon storage...
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2025-04-01
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| author | Ya Ding Yan Lu Akash Tariq Fanjiang Zeng Yanju Gao Jordi Sardans Dhafer A. Al-Bakre Josep Peñuelas |
| author_facet | Ya Ding Yan Lu Akash Tariq Fanjiang Zeng Yanju Gao Jordi Sardans Dhafer A. Al-Bakre Josep Peñuelas |
| author_sort | Ya Ding |
| collection | DOAJ |
| description | <i>Cyperus esculentus</i>, a drought-resistant Cyperaceae with ecological and economic value (stems/leaves as feed, tubers as oil source), stabilizes arid soils through its extensive root system. Understanding its biomass allocation strategies is crucial for comprehending carbon storage in arid environments. The results showed that allometric models best described leaf biomass, while Gompertz and logistic models provided superior accuracy (evaluated using R<sup>2</sup>, <i>p</i>-value, AIC, RMSE, and RSS) for estimating root, tuber, and whole plant biomass. In our study, the equilibrium biomass showed that underground (74.29 g and 64.22 g) was superior to aboveground (63.63 g and 58.72 g); and the growth rate showed the same result, underground (0.112 and 0.055) surpassed aboveground (0.083 and 0.046). The initial inflection point (POI1 = 11) suggests that leaves are prioritized in acquiring limited resources to support growth. In conclusion, the tiller number is a reliable predictor for developing robust biomass models for <i>C. esculentus</i>. The Gompertz model is best for leaves, roots, and total biomass, while the logistic model is optimal for predicting tuber biomass in arid areas. The tiller number is a reliable predictor for developing robust biomass models for <i>C. esculentus</i>. The research findings have supplied useful insights into the growth modifications, production potential, and management experience gained from <i>Cyperus esculentus</i> plant agriculture. |
| format | Article |
| id | doaj-art-90e126cfac1b4432bf957dac27331cdb |
| institution | OA Journals |
| issn | 2077-0472 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj-art-90e126cfac1b4432bf957dac27331cdb2025-08-20T01:49:08ZengMDPI AGAgriculture2077-04722025-04-0115994610.3390/agriculture15090946Predicting <i>Cyperus esculentus</i> Biomass Using Tiller Number: A Comparative Analysis of Growth ModelsYa Ding0Yan Lu1Akash Tariq2Fanjiang Zeng3Yanju Gao4Jordi Sardans5Dhafer A. Al-Bakre6Josep Peñuelas7College of Ecology and Environment, Xinjiang University, Urumqi 830011, ChinaXinjiang Key Desert Plant Roots Ecology and Vegetation Restoration Laboratory, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaXinjiang Key Desert Plant Roots Ecology and Vegetation Restoration Laboratory, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaCollege of Ecology and Environment, Xinjiang University, Urumqi 830011, ChinaCollege of Ecology and Environment, Xinjiang University, Urumqi 830011, ChinaConsejo Superior de Investigaciones Científicas, Global Ecology Unit, Centre de Recerca Ecològica i Aplicacions Forestals-Consejo Superior de Investigaciones Científicas-Universitat Autònoma de Barcelona (CREAF-CSIC-UAB), Bellaterra, 08193 Barcelona, Catalonia, SpainDepartment of Biology, College of Science, University of Tabuk, Tabuk 71421, Saudi ArabiaConsejo Superior de Investigaciones Científicas, Global Ecology Unit, Centre de Recerca Ecològica i Aplicacions Forestals-Consejo Superior de Investigaciones Científicas-Universitat Autònoma de Barcelona (CREAF-CSIC-UAB), Bellaterra, 08193 Barcelona, Catalonia, Spain<i>Cyperus esculentus</i>, a drought-resistant Cyperaceae with ecological and economic value (stems/leaves as feed, tubers as oil source), stabilizes arid soils through its extensive root system. Understanding its biomass allocation strategies is crucial for comprehending carbon storage in arid environments. The results showed that allometric models best described leaf biomass, while Gompertz and logistic models provided superior accuracy (evaluated using R<sup>2</sup>, <i>p</i>-value, AIC, RMSE, and RSS) for estimating root, tuber, and whole plant biomass. In our study, the equilibrium biomass showed that underground (74.29 g and 64.22 g) was superior to aboveground (63.63 g and 58.72 g); and the growth rate showed the same result, underground (0.112 and 0.055) surpassed aboveground (0.083 and 0.046). The initial inflection point (POI1 = 11) suggests that leaves are prioritized in acquiring limited resources to support growth. In conclusion, the tiller number is a reliable predictor for developing robust biomass models for <i>C. esculentus</i>. The Gompertz model is best for leaves, roots, and total biomass, while the logistic model is optimal for predicting tuber biomass in arid areas. The tiller number is a reliable predictor for developing robust biomass models for <i>C. esculentus</i>. The research findings have supplied useful insights into the growth modifications, production potential, and management experience gained from <i>Cyperus esculentus</i> plant agriculture.https://www.mdpi.com/2077-0472/15/9/946<i>Cyperus esculentus</i>biomass modelbalanced biomassgrowth ratepoint of inflections |
| spellingShingle | Ya Ding Yan Lu Akash Tariq Fanjiang Zeng Yanju Gao Jordi Sardans Dhafer A. Al-Bakre Josep Peñuelas Predicting <i>Cyperus esculentus</i> Biomass Using Tiller Number: A Comparative Analysis of Growth Models Agriculture <i>Cyperus esculentus</i> biomass model balanced biomass growth rate point of inflections |
| title | Predicting <i>Cyperus esculentus</i> Biomass Using Tiller Number: A Comparative Analysis of Growth Models |
| title_full | Predicting <i>Cyperus esculentus</i> Biomass Using Tiller Number: A Comparative Analysis of Growth Models |
| title_fullStr | Predicting <i>Cyperus esculentus</i> Biomass Using Tiller Number: A Comparative Analysis of Growth Models |
| title_full_unstemmed | Predicting <i>Cyperus esculentus</i> Biomass Using Tiller Number: A Comparative Analysis of Growth Models |
| title_short | Predicting <i>Cyperus esculentus</i> Biomass Using Tiller Number: A Comparative Analysis of Growth Models |
| title_sort | predicting i cyperus esculentus i biomass using tiller number a comparative analysis of growth models |
| topic | <i>Cyperus esculentus</i> biomass model balanced biomass growth rate point of inflections |
| url | https://www.mdpi.com/2077-0472/15/9/946 |
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