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      Plant height is the main factor driving forage yield of Poa species under different row spacings and seeding rates in the Qilian Mountains

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          Abstract

          Scientific and reasonable planting densities are crucial for Poa species forage production. However, the optimal row spacing and seeding rate for Poa species cultivation, and the effects of row spacing and seeding rate on Poa species forage yield in the Qilian Mountains remain unclear. In the current study, P. sinoglauca Ohwi., P. crymophila Keng, P. pratensis L. var. anceps Gaud, and P. pagophila Bor were selected as study materials, and a split field experiment designed with row spacing as the main factor and seeding rates as the sub-factor was conducted to study the effects of different row spacings and seeding rates on the agronomic traits and forage yield benefits of Poa species. The main plots were designed with different row spacings of 15 cm (R 1), 30 cm (R 2), and 45 cm (R 3), and the subplots were designed with different seeding rates of 7.0 kg·hm -2 (S 1), 12.0 kg·hm -2 (S 2), and 17.0 kg·hm -2 (S 3). A subsection structural equation model was used to analyze the influence process and path coefficients of row spacing, seeding rate, and the interaction between row spacing and seeding rate on the yield of Poa species, and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) was used to comprehensively assess the agronomic traits and forage yield of the experimental varieties. Our results showed that row spacing significantly affected the plant height, tiller number, fertile tiller number, and forage yield of the four Poa species, while seeding rate and interaction between row spacing and seeding rate had significant effects on the forage yield of the four Poa species. The highest forage yields of P. sinoglauca (6709.1 kg·hm -²) and P. crymophila (7471.3 kg·hm -²) were recorded for a row spacing of 30 cm and seeding rate of 17 kg·hm -², and the highest forage yields of P. pratensis L. var. anceps (9469.0 kg·hm -²) and P. pagophila (8152.7 kg·hm -²) were recorded for a row spacing of 30 cm and seeding rate of 12 kg·hm -². Structural equation modeling indicated that row spacing, seeding rate, and the interaction between row spacing and seeding rate primarily affected the forage yield of Poa species by affecting plant height. Our research provided optimal sowing and row spacing for Poa species depending on the species to optimize forage production in the southern Qilian Mountains and similar areas.

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              Effect of La(NO3)3 on seedling growth and physiological characteristics of ryegrass under NaCl stress: Effect of La(NO3)3 on seedling growth and physiological characteristics of ryegrass under NaCl stress

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                Author and article information

                Contributors
                Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2359231Role: Role: Role: Role: Role:
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                Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2592833Role: Role: Role: Role: Role:
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                21 February 2025
                2025
                : 16
                : 1535937
                Affiliations
                [1] 1 Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Qinghai University , Xining, China
                [2] 2 Key Laboratory of Development of Forage Germplasm in the Qinghai-Tibetan Plateau of Qinghai Province, Academy of Animal Science and Veterinary, Qinghai University , Xining, China
                [3] 3 State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University , Xining, China
                [4] 4 Qinghai Province Sanjiang Technology Company Limited , Xining, China
                [5] 5 Gansu Materias Group Company Lanzhou Logistics Park Co., Ltd. , Lanzhou, China
                Author notes

                Edited by: Moritz Von Cossel, University of Hohenheim, Germany

                Reviewed by: Yasuyuki Ishii, University of Miyazaki, Japan

                Zuzana Hrevušová, Czech University of Life Sciences Prague, Czechia

                *Correspondence: Wen Li, lw@ 123456qhu.edu.cn
                Article
                10.3389/fpls.2025.1535937
                11885300
                40061037
                55c9ad21-3816-4b30-bc02-344a6867c164
                Copyright © 2025 Wang, Wang, Li, Guo and Li

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 29 November 2024
                : 27 January 2025
                Page count
                Figures: 5, Tables: 1, Equations: 0, References: 39, Pages: 10, Words: 4987
                Funding
                The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Open Project of Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland (2023-GHSYS-ZZ-03), National Key Research and Development Plan (2022YFD1602307), Applied basic research, Department of Science and Technology of Qinghai Province (2023-ZJ-751), and Research Projects on Tackling Key Technologies in the Grass Seed Industry (SJCZFY2022-4).
                Categories
                Plant Science
                Original Research
                Custom metadata
                Plant Breeding

                Plant science & Botany
                cultivation measures,field management,agronomic traits,yield effect,comprehensive evaluation

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